Renewable Energy Focus最新文献_第9页

A comprehensive review on the application of recently introduced optimization techniques obtaining maximum power in the solar PV System 全面回顾最近推出的优化技术在太阳能光伏系统中的应用，以获得最大功率

IF 4.8

Renewable Energy Focus Pub Date : 2024-03-22 DOI: 10.1016/j.ref.2024.100564

Sameera , Mohd Tariq , Mohd. Rihan , Mohd Ayan

{"title":"A comprehensive review on the application of recently introduced optimization techniques obtaining maximum power in the solar PV System","authors":"Sameera , Mohd Tariq , Mohd. Rihan , Mohd Ayan","doi":"10.1016/j.ref.2024.100564","DOIUrl":"https://doi.org/10.1016/j.ref.2024.100564","url":null,"abstract":"<div><p>PVs (photo Voltaics) are the leading player in distributed power systems. Despite all the developments and evolution, the affordability of the solar system is still challenging<u>.</u> The issue of its economy has led to the development of Maximum PowerPoint Tracking (MPPT). The role of maximum power extraction under partial shading is a crucial feature of energy harvesting. This paper has reviewed various conventional, soft computing, and hybrid techniques for MPPT under partial shading conditions. It is observed that conventional methods fail to extract maximum power under partial shading conditions due to multiple peaks. Therefore, different soft computing, hybrid techniques, algorithms and modern PV topologies are discussed to track global maxima from multiple local maxima. The strengths and weaknesses of various methods' tracking speed, transient and steady-state oscillation, cost, computational complexity, etc., are taken as independent quantities and various MPPT techniques as dependent quantity to prepare a user-friendly table. Also, three different meta-heuristic algorithms (Cuckoo Search, JAYA and PSO) performance have been compared for the PSC based on tracking time and efficiency by using a Hardware-in-the-loop (HIL) simulation platform.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"49 ","pages":"Article 100564"},"PeriodicalIF":4.8,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140552651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-objective optimal control of renewable energy based autonomous AC microgrid using dandelion optimisation 利用蒲公英优化技术实现基于可再生能源的自主交流微电网的多目标优化控制

IF 4.8

Renewable Energy Focus Pub Date : 2024-02-29 DOI: 10.1016/j.ref.2024.100563

Farhat Afzah Samoon, Ikhlaq Hussain, Sheikh Javed Iqbal

{"title":"Multi-objective optimal control of renewable energy based autonomous AC microgrid using dandelion optimisation","authors":"Farhat Afzah Samoon, Ikhlaq Hussain, Sheikh Javed Iqbal","doi":"10.1016/j.ref.2024.100563","DOIUrl":"https://doi.org/10.1016/j.ref.2024.100563","url":null,"abstract":"<div><p>This paper presents multi-objective dandelion optimization (DEO) control of an autonomous microgrid consisting of a PV array, along with a battery energy storage system (BES) and diesel generator (DG) system for rural areas that are not connected to the main grid. This configuration aims at the maximum extraction of solar energy by using maximum power point tracking (MPPT) using a boost converter with dandelion optimization (DEO)-based incremental conductance (INC) algorithm. The INC algorithm uses the dandelion algorithm to calculate the ideal step size (δ), that significantly enhances the maximum power point tracking and increases the efficiency of algorithm. The DEO optimization also gives optimized value of gains of PI controller of bidirectional converter of battery for better DC bus voltage regulation. DC link voltage has less variations during steady state and dynamic conditions. Generic sigmoid function-based- modified variable step size least mean square (GS-MVSS-LMS) adaptive VSC control provides solutions for power quality issues such as harmonic elimination, and load leveling and regulates the voltage at PCC. The suggested control method performs better in terms of steady-state error reduction, convergence rate, transition tracking effectiveness, and self-coherence. The main features of this AC microgrid are the operation of a solar array at its MPPT, less utilization of diesel generators, and reactive power compensation. The performance of the proposed microgrid topology is studied under various dynamic conditions and performs satisfactorily as per IEEE 519 standards. MATLAB/ simpower tools are used for the simulation of system.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"49 ","pages":"Article 100563"},"PeriodicalIF":4.8,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140014491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A thematic analysis of the factors that influence the development of a renewable energy policy 对影响可再生能源政策制定的因素进行专题分析

IF 4.8

Renewable Energy Focus Pub Date : 2024-02-23 DOI: 10.1016/j.ref.2024.100562

Zuhaib Tayar Mirza , Timothy Anderson , Jeff Seadon , Alan Brent

{"title":"A thematic analysis of the factors that influence the development of a renewable energy policy","authors":"Zuhaib Tayar Mirza , Timothy Anderson , Jeff Seadon , Alan Brent","doi":"10.1016/j.ref.2024.100562","DOIUrl":"10.1016/j.ref.2024.100562","url":null,"abstract":"<div><p>A successful and just energy transition is subject to policies that adhere to a multi-dimensional approach to renewable energy development. To achieve success in renewable energy development, well-thought-out and efficient policies must be implemented. This paper aims to address a major shortcoming in renewable energy development in terms of understanding and recognising the policy space that promotes or hampers renewable energy growth. The paper examines the relevant literature to identify major themes and factors in renewable energy development. A thematic analysis was conducted using a hybrid inductive and deductive approach and resulted in the identification of 5 major themes namely Institutional, Environmental, Financial, Socio-cultural, Technical and 144 factors. The identified themes and factors will assist to make a policy action decisive, just, and sustainable. Recommendations including comprehensive incentivisation, regulatory support for renewable energy technologies in developing nations, environment impact assessment programs, promotion of financial transparency and opting for a just transition to benefit local and vulnerable communities.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"49 ","pages":"Article 100562"},"PeriodicalIF":4.8,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1755008424000267/pdfft?md5=8526dee2911916c6afdc36f042fccb42&pid=1-s2.0-S1755008424000267-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139966010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal distributed generators allocation with various load models under load growth using a meta-heuristic technique 使用元启发式技术优化负载增长条件下各种负载模型的分布式发电机分配

IF 4.8

Renewable Energy Focus Pub Date : 2024-02-23 DOI: 10.1016/j.ref.2024.100550

Muhammad Zubair Iftikhar , Kashif Imran , Muhammad Imran Akbar , Saim Ghafoor

{"title":"Optimal distributed generators allocation with various load models under load growth using a meta-heuristic technique","authors":"Muhammad Zubair Iftikhar , Kashif Imran , Muhammad Imran Akbar , Saim Ghafoor","doi":"10.1016/j.ref.2024.100550","DOIUrl":"https://doi.org/10.1016/j.ref.2024.100550","url":null,"abstract":"<div><p>Distribution network planning and operation are facing several problems, including asset congestion, voltage fluctuations, and system instability. The adequate planning and modeling of distributed generators and capacitor banks must quantify these problems. This article presents the optimal allocation of distributed generators in parallel with capacitor banks in distribution networks with single and multi-objectives using the Gazelle Optimization Algorithm (GOA) and Mountain Gazelle Optimization Algorithm (MGOA). The single objective framework includes technical objectives like minimization of active power losses. The multi-objective framework includes technical and non-technical objectives like simultaneously minimization of active power losses, voltage stability, and voltage deviation, and minimization of polluting greenhouse gases and total electricity purchase cost. Furthermore, these planning problems are investigated by three case studies on different nonlinear voltage-dependent models at two different loading conditions from future planning perspectives. The effectiveness and feasibility of the MGOA are evaluated on the IEEE standard 33 bus system. As a result, the MGOA demonstrates a remarkable reduction in technical and non-technical objectives in all types of distributed generator placement. Moreover, a comparative analysis of other existing research works validated the efficiency and feasibility of established algorithms at each use case with different load models by improving all the objective functions of network planning. In single-objective and multi-objective frameworks, the active power losses reduce to 94.42% and 93.57% in the voltage-independent model, respectively. Meanwhile, the non-technical objectives are also significantly improved for each load model, further validating the efficiency of the proposed algorithms.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"49 ","pages":"Article 100550"},"PeriodicalIF":4.8,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139975622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Behind-the-meter residential photovoltaic plus battery systems – An insight to business models under net-metering 电表后住宅光伏加电池系统--净计量下的商业模式透视

IF 4.8

Renewable Energy Focus Pub Date : 2024-02-22 DOI: 10.1016/j.ref.2024.100561

Wadaed Uturbey , Bernardo T. Braga , Bruno M. Lopes

{"title":"Behind-the-meter residential photovoltaic plus battery systems – An insight to business models under net-metering","authors":"Wadaed Uturbey , Bernardo T. Braga , Bruno M. Lopes","doi":"10.1016/j.ref.2024.100561","DOIUrl":"https://doi.org/10.1016/j.ref.2024.100561","url":null,"abstract":"<div><p>This paper contributes with an analysis of the development of photovoltaic plus battery systems under net-metering using elements of business models, from the perspective of value proposition and value capture features. The Brazilian regulatory framework for distributed generation is taken as example. Five photovoltaic plus battery schemes are envisaged and value creation is analyzed regarding two aspects: batteries can improve photovoltaic generation and load mismatch and batteries can cooperate with the distribution system. Policy implications and barriers to the implementation of these schemes are indicated. A techno-economic feasibility analysis for residential prosumers is conducted to gain insight about the viability gap in three realistic scenarios. Behind-the-meter photovoltaic plus battery systems for arbitrage under Time-of-use energy tariffs and a scenario that includes the sale of stored energy to the grid are analyzed in relation to an only-photovoltaic system scenario. Three cities with different photovoltaic generation potential, tariffs and human development index provide good diversity for the comparisons. We find that in favorable locations in terms of high TOU tariffs and good solar radiation, Behind-the-meter photovoltaic plus battery systems could be spontaneously adopted if stacking revenues are allowed, but a case-by-case study is necessary. Moreover, in other cases net present value and payback signal economic viability, then, when specific technical conditions indicate the use of batteries integrated with photovoltaic systems to mitigate negative local effects of photovoltaic generation, in many regions of the country they are viable.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"49 ","pages":"Article 100561"},"PeriodicalIF":4.8,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139975980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal energy storage system design for addressing uncertainty issues in integration of supply and demand-side management approaches 优化储能系统设计，解决供需侧管理整合方法中的不确定性问题

IF 4.8

Renewable Energy Focus Pub Date : 2024-02-22 DOI: 10.1016/j.ref.2024.100552

Shamik Misra , Abhilasha Maheshwari , Ravindra D. Gudi

{"title":"Optimal energy storage system design for addressing uncertainty issues in integration of supply and demand-side management approaches","authors":"Shamik Misra , Abhilasha Maheshwari , Ravindra D. Gudi","doi":"10.1016/j.ref.2024.100552","DOIUrl":"https://doi.org/10.1016/j.ref.2024.100552","url":null,"abstract":"<div><p>The primary goal of Sustainable Development Goal 7 (SDG 7) is to increase renewable energy use to reduce reliance on fossil fuels and mitigate climate change. Energy-intensive industries can benefit from in-house renewable power generation, reducing their reliance on fossil fuel-based grid power and making processes greener. However, integration among power generation/purchase, energy storage systems (ESS), and power consumption is crucial to overcome the intermittent nature of renewable power sources. ESS plays a vital role in increasing resilience and optimizing material production based on power availability and pricing. The efficacy of ESS needs critical evaluation considering cost, efficiency, and uncertainties related to renewable power generation and material product demand. The paper proposes two scenario-based optimization approaches to assess the impact of uncertainties on the integrated supply and demand side management (ISDM) system, focusing on lithium-ion batteries and cryogenic energy storage (CES). Compared to the conservative approach of the scenario-based robust optimization (SRO) method, the proposed stochastic simulation optimization (SSO) method provides a ‘risk-neutral’ solution, which is 6.45% less than the minimum expected cost solution. The analysis also suggests that lithium-ion batteries are more economically effective for the proposed integrated framework than CES, resulting in almost a 29% reduction in operating costs compared to no battery option. The proposed framework could contribute to sustainable and economically viable energy management practices in energy-intensive industries. Further research and implementation of such frameworks could accelerate the adoption of renewable energy and energy storage technologies in industrial processes.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"49 ","pages":"Article 100552"},"PeriodicalIF":4.8,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139943046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimizing solar PV investments: A comprehensive decision-making index using CRITIC and TOPSIS 优化太阳能光伏投资：使用 CRITIC 和 TOPSIS 的综合决策指数

IF 4.8

Renewable Energy Focus Pub Date : 2024-02-15 DOI: 10.1016/j.ref.2024.100551

Nur Iqtiyani Ilham , Nofri Yenita Dahlan , Mohamad Zhafran Hussin

{"title":"Optimizing solar PV investments: A comprehensive decision-making index using CRITIC and TOPSIS","authors":"Nur Iqtiyani Ilham , Nofri Yenita Dahlan , Mohamad Zhafran Hussin","doi":"10.1016/j.ref.2024.100551","DOIUrl":"https://doi.org/10.1016/j.ref.2024.100551","url":null,"abstract":"<div><p>In response to Malaysia's commitment to sustainable energy, a decisive decision for renewable energy planning investment remains crucial. Currently, a dedicated tool for assessing the benefits of renewable energy deployment in Malaysia is absent, posing challenges for stakeholders, especially prosumers, in making project investment decisions. This study introduces the development of Multi-Benefits Decision-Making (MBDM) index for solar photovoltaic (PV) investment planning. The aim is to select the most optimal renewable energy compensation schemes under multiple tariff structures and solar PV capacities. The proposed CRITIC weight, integrated with the Technique-for-Order-of-Preference-by-Similarity-to-the-Ideal-Solution (TOPSIS), or to be named as CW-TOPSIS framework, is practically demonstrated through a case study involving a commercial building with a solar PV rooftop. The Hybrid Optimization of Multiple Energy Resources (HOMER) grid software is used to develop a grid-connected solar PV model. Subsequently, a decision matrix is created using HOMER grid optimization results, incorporating indicators like environmental factors, energy usage, tariffs and policies, and economic aspects. A comparative study with Entropy-TOPSIS (EW-TOPSIS), CRITIC-Elimination and Choice Expressing Reality (CW-ELECTRE), and Entropy-ELECTRE (EW-ELECTRE) is conducted to validate the proposed technique's performance. The consistent findings from the comparative study validate the outstanding performance of Net-Energy-Metering 2.0 with Enhanced-Time-of-Use (N2ET). N2ET excels due to its efficient integration of solar PV NEM and dynamic ETOU pricing, amplifying surplus energy trading and benefiting users with improved financial metrics and bill savings.</p><p>This research envisions guiding stakeholders in solar PV investments and enhancing project feasibility assessments in Malaysia's commercial sector.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"49 ","pages":"Article 100551"},"PeriodicalIF":4.8,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139749300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Streamlined open loop operation using Karnaugh Map for solar thermal power plant 利用 Karnaugh Map 简化太阳能热发电厂的开环运行

IF 4.8

Renewable Energy Focus Pub Date : 2024-02-15 DOI: 10.1016/j.ref.2024.100549

Surender Kannaiyan , Suma Chandran , Neeraj Dhanraj Bokde

{"title":"Streamlined open loop operation using Karnaugh Map for solar thermal power plant","authors":"Surender Kannaiyan , Suma Chandran , Neeraj Dhanraj Bokde","doi":"10.1016/j.ref.2024.100549","DOIUrl":"10.1016/j.ref.2024.100549","url":null,"abstract":"<div><p>Optimizing the operation of a Solar Thermal Power plant presents significant challenges due to the variable nature of solar radiation and inherent uncertainties like cloud cover. These factors can lead to unexpected shutdowns, especially when the Solar Thermal Power plant is designed for daily startups and shutdowns aligned with sunrise and sunset. Traditional open-loop operations with constant steady-state inputs offer a degree of safety and reliability in output but may not fully leverage the plant’s operational potential. This study introduces the use of Karnaugh Map optimization to enhance the efficiency of Solar Thermal Power plant operations. Implementation of Karnaugh Map optimizer on Storage Tank with volume threshold limits, facilitates the construction of logic operations that respect operational constraints and minimize redundant inputs and its interactions, thereby provide opportunity to increase in thermal energy extraction on solar collector. This approach also ensures vital electric power generation without violating constraints, offering a simplified yet effective solution for real-time Solar Thermal Power plant operation management. This study demonstrates enhancement of electric power generation duration and thermal energy extraction by solar collector, increased by 1 h 24 min and 2078 MJ respectively for increasing from two to three varaibles threshold limits on the Storage Tank.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"49 ","pages":"Article 100549"},"PeriodicalIF":4.8,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139820156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hybrid AC-DC microgrid coordinated control strategies: A systematic review and future prospect 交直流混合微电网协调控制策略：系统回顾与未来展望

IF 4.8

Renewable Energy Focus Pub Date : 2024-02-15 DOI: 10.1016/j.ref.2024.100553

Atul S. Dahane, Rajesh B. Sharma

{"title":"Hybrid AC-DC microgrid coordinated control strategies: A systematic review and future prospect","authors":"Atul S. Dahane, Rajesh B. Sharma","doi":"10.1016/j.ref.2024.100553","DOIUrl":"10.1016/j.ref.2024.100553","url":null,"abstract":"<div><p>Presently, there is huge development in conventional power systems due to the evolution of modern smart grids, wherein interconnected microgrids with a high level of energy storage and renewable energy penetration are gaining popularity in the modern distribution network. Future electrical distribution systems, or even transmission structures that combine AC and DC sources and loads are thought to be most promising when it comes to hybrid AC-DC systems. Using a combined operation of both AC and DC microgrids through an interfacing converter, hybrid AC-DC microgrids are advanced and benefitted with the use of both AC and DC topologies. Power management techniques for these microgrids are among the most important operational aspects. This paper provides a systematic review on numerous schemes to control hybrid AC-DC microgrids. Basically, microgrid control strategies are categorized as local control and coordinated control. Coordinated control is further divided in three control strategies as, distributed, centralized, and decentralized control. All these control strategies are employed to satisfy many control objectives, like bus voltage and frequency regulation, power sharing, and management, power quality, stability and reliability improvement, energy management, and economic dispatch. In this paper, various aspects associated with these control objectives and limitations in their control strategies are discussed. Also, future prospects on control of hybrid AC-DC microgrids and an effective and robust control strategy for power management possibly to be employed, are presented in the concluding section of this paper.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"49 ","pages":"Article 100553"},"PeriodicalIF":4.8,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139823382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Novel approaches for wind speed evaluating and solar-wind complementarity assessing 风速评估和太阳能-风能互补性评估的新方法

IF 4.8

Renewable Energy Focus Pub Date : 2024-02-09 DOI: 10.1016/j.ref.2024.100547

Anas Hajou , Youness El Mghouchi , Mohamed Chaoui

{"title":"Novel approaches for wind speed evaluating and solar-wind complementarity assessing","authors":"Anas Hajou , Youness El Mghouchi , Mohamed Chaoui","doi":"10.1016/j.ref.2024.100547","DOIUrl":"https://doi.org/10.1016/j.ref.2024.100547","url":null,"abstract":"<div><p>In this study, a wind speed analysis is conducted using Reanalysis wind speed data for the height of 50 meters using five probability distributions that were tested and compared using the Maximum Likelihood Method (MLM) for estimating the distributions parameters and three goodness-of-fit tests for selecting the best fitting one, namely the Akaike Information Criterion (AIC), The Bayesian Information Criterion (BIC) and the Anderson-Darling (AD). The wind roses, histograms, wind map and the wind power density maps were established. For complementarity between solar and wind, an assessment based on energy fluctuations is adopted and a new complementarity metric is proposed. Using reanalysis data and satellite-based data, a wind turbine model and a PV systems output data are used. This method uses a combination of normalization and a distance metric. Firstly, the outliers are removed, then the daily power output data for PV and Wind turbine are scaled using the minimum-maximum normalization. This normalization transforms both energies data into the same range of 0-1, where the minimum is equal to 0 and the maximum is equal to 1, while conserving its structure, hence, this allows for comparison between the two sources and identify days with high complementarity, for instance when one source is close to 1 and the other is close to zero. For complementarity assessment, the Euclidean distance is adopted. This distance is calculated for each between the normalized values of both sources, and it is between 0 and 1; higher distance indicates high complementarity level.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"48 ","pages":"Article 100547"},"PeriodicalIF":4.8,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1755008424000115/pdfft?md5=0178adcb1e086c3c494e3d9c5c906fb6&pid=1-s2.0-S1755008424000115-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139726433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0