2020 6th IEEE International Energy Conference (ENERGYCon)最新文献

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Gain optimization of sliding mode speed control for DC motor 直流电动机滑模速度控制增益优化
2020 6th IEEE International Energy Conference (ENERGYCon) Pub Date : 2020-09-28 DOI: 10.1109/ENERGYCon48941.2020.9236508
Kais Jammousi, M. Bouzguenda, Youssef Dhieb, M. Ghariani, Mohamed Yaich
{"title":"Gain optimization of sliding mode speed control for DC motor","authors":"Kais Jammousi, M. Bouzguenda, Youssef Dhieb, M. Ghariani, Mohamed Yaich","doi":"10.1109/ENERGYCon48941.2020.9236508","DOIUrl":"https://doi.org/10.1109/ENERGYCon48941.2020.9236508","url":null,"abstract":"the main objective of this paper is to optimize the parameters of sliding mode controller for DC motor. Ant Colony optimization (ACO) algorithms is used to obtain optimal parameters of Sliding Mode Controller (SMC), which is highly robust to the parameters variations. A model of DC motor is developed and simulated using MATLAB/SIMULINK by introducing external uncertainties and disturbances. The proposed speed control design uses gains generated by the Ant Colony optimization algorithm.","PeriodicalId":156687,"journal":{"name":"2020 6th IEEE International Energy Conference (ENERGYCon)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117287055","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: 1
Smart Grid Energy Management System for Industrial Applications 工业应用智能电网能源管理系统
2020 6th IEEE International Energy Conference (ENERGYCon) Pub Date : 2020-09-28 DOI: 10.1109/ENERGYCon48941.2020.9236544
H. Omondi, P. Musau, A. Nyete
{"title":"Smart Grid Energy Management System for Industrial Applications","authors":"H. Omondi, P. Musau, A. Nyete","doi":"10.1109/ENERGYCon48941.2020.9236544","DOIUrl":"https://doi.org/10.1109/ENERGYCon48941.2020.9236544","url":null,"abstract":"Energy is one of the top operating expenses in industries. Following the increased adoption of smart grids in recent years, industries can leverage on its capabilities to design effective energy management schemes for competitive advantage. This paper addresses the challenge of energy management in industries by incorporating the aspects of a smart grid in designing an energy management system (EMS) where demand side management (DSM) is utilized to enable users control their energy usage and minimize costs. A forecasting model for electricity prices and demand is developed using Long Short Term Memory (LSTM) - Recurrent Neural Network (RNN). The predicted prices are used in load scheduling to realize potential energy cost savings. The nonpriority loads are scheduled to leverage on low electricity prices during off peak times. The effectiveness of the designed energy management strategy is tested using an IEEE 30 bus system. A suitable operation schedule with committed units for each hour is given for one sample day. Using the test system with 20 loads yielded an annual energy cost saving of $2,961,169.20 and a payback period (PBP) of 4.39 years. Quantifying both the energy and non-energy benefits of investing in an EMS justifies its high investment cost. Long term use of an industrial EMS is likely to yield huge energy and cost savings.","PeriodicalId":156687,"journal":{"name":"2020 6th IEEE International Energy Conference (ENERGYCon)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127144151","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
Modeling and control of direct-drive PMSG-based offshore wind turbine under rigorous wind conditions 基于pmsg的直接驱动海上风力机在恶劣风况下的建模与控制
2020 6th IEEE International Energy Conference (ENERGYCon) Pub Date : 2020-09-28 DOI: 10.1109/ENERGYCon48941.2020.9236563
Taheni Swibki, I. Salem, L. E. Amraoui
{"title":"Modeling and control of direct-drive PMSG-based offshore wind turbine under rigorous wind conditions","authors":"Taheni Swibki, I. Salem, L. E. Amraoui","doi":"10.1109/ENERGYCon48941.2020.9236563","DOIUrl":"https://doi.org/10.1109/ENERGYCon48941.2020.9236563","url":null,"abstract":"The aim of this paper is to show the effectiveness of using a PMSG in offshore wind turbines to obtain reliable and efficient systems. A comprehensive detailed dynamic model and control strategy of a variable speed offshore wind turbine is described. The wind turbine is linked to the electrical grid by means of a back to back converter. The core of the converter is composed of two similar inverters linked via a DC-link bus. The PMSG side converter performs maximum power extraction from the wind by combining a Field-oriented control (FOC) strategy and a maximum power point tracker (MPPT) controller. While, the grid side converter ensures an efficient grid connection employing a voltage oriented control (VOC) strategy. Simulation results show the effectiveness of the proposed control under rigorous wind conditions.","PeriodicalId":156687,"journal":{"name":"2020 6th IEEE International Energy Conference (ENERGYCon)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125186447","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: 3
Power Management through Smart Grids and Advance Metering Infrastructure 通过智能电网和先进计量基础设施进行电力管理
2020 6th IEEE International Energy Conference (ENERGYCon) Pub Date : 2020-09-28 DOI: 10.1109/ENERGYCon48941.2020.9236443
M. M. Hussain, M. Siddique, Ahmad Raees, M. Nouman, Waqas Javed, Abdul Razaq
{"title":"Power Management through Smart Grids and Advance Metering Infrastructure","authors":"M. M. Hussain, M. Siddique, Ahmad Raees, M. Nouman, Waqas Javed, Abdul Razaq","doi":"10.1109/ENERGYCon48941.2020.9236443","DOIUrl":"https://doi.org/10.1109/ENERGYCon48941.2020.9236443","url":null,"abstract":"This paper describes the novel methodology for load management control system with continuous power supply feature in Pakistan. Smart meter and smart grids are the crucial components of this proposed power management system for diminishing the possibility of load shedding. Also, this methodology makes it possible to utilize the available energy resources more efficiently using internet of things to overcome the higher energy demands. The advanced metering infrastructure uses the power demand and supply information available from the communication network in managing the demand and supply, real time pricing problems and control over energy theft. Moreover, mathematical analysis supports the efficacy of proposed methodology.","PeriodicalId":156687,"journal":{"name":"2020 6th IEEE International Energy Conference (ENERGYCon)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125938658","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: 5
Faults in a Large-scale photovoltaic installation: A Review 大型光伏装置故障:综述
2020 6th IEEE International Energy Conference (ENERGYCon) Pub Date : 2020-09-28 DOI: 10.1109/ENERGYCon48941.2020.9236456
X. P. Yokwana, A. Yusuff, T. Mosetlhe
{"title":"Faults in a Large-scale photovoltaic installation: A Review","authors":"X. P. Yokwana, A. Yusuff, T. Mosetlhe","doi":"10.1109/ENERGYCon48941.2020.9236456","DOIUrl":"https://doi.org/10.1109/ENERGYCon48941.2020.9236456","url":null,"abstract":"The global warming and realisation that fossil fuel is limited, has been a drive over the years to move to renewable energy sources. Consequently, solar energy and other renewable energy sources are currently being exploited. The fast development of photovoltaic technologies makes the systems one of the leading methods to effectively exploit the RES. In recent times, the PV system are done at large to augment the classical energy supply. However, large-scale photovoltaic installations possess challenges of being susceptible to occurrence faults Therefore, it is imperative that faulty modules are detected and isolated to preserve the efficiency of the overall PV system. This paper presents a review of various faults often encountered in large-scale PV installation.","PeriodicalId":156687,"journal":{"name":"2020 6th IEEE International Energy Conference (ENERGYCon)","volume":"421 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123277359","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: 2
Stability Analysis of a Virtual Synchronous Machine-based HVDC Link by Gear’s Method 用齿轮法分析基于虚拟同步机的高压直流线路的稳定性
2020 6th IEEE International Energy Conference (ENERGYCon) Pub Date : 2020-09-28 DOI: 10.1109/ENERGYCon48941.2020.9236577
J. Khodaparast, O. Fosso, M. Molinas, J. Suul
{"title":"Stability Analysis of a Virtual Synchronous Machine-based HVDC Link by Gear’s Method","authors":"J. Khodaparast, O. Fosso, M. Molinas, J. Suul","doi":"10.1109/ENERGYCon48941.2020.9236577","DOIUrl":"https://doi.org/10.1109/ENERGYCon48941.2020.9236577","url":null,"abstract":"Declining equivalent inertia caused by the massive integration of converter-based technologies can increase the risk of stability problems in the future power system. Control of HVDC systems as Virtual Synchronous Machines (VSMs) for providing emulated inertia is a promising countermeasure against this development. However, low inertia converter dominated power systems are raising new challenges for stability analysis. Thus, new numerical techniques and tools are needed for efficient and accurate analysis of small-and large-signal stability issues in complex power systems with different kinds of generation units, converter systems and control loops that can experience potential interactions, internally or with the network. Gear’s method with a variable time step, offers the possibility to obtain fast and flexible procedures for large-signal stability analysis. Additionally, it can make stability analysis efficient by combining the small-signal and large-signal analysis into the same process. This paper will show how the stability of a power system with a VSM-based HVDC link can be evaluated by the method and presents an approach for simultaneous small-and large-signal stability assessment.","PeriodicalId":156687,"journal":{"name":"2020 6th IEEE International Energy Conference (ENERGYCon)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122570686","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
Sharing Electricity in Brazil: a crypto-currency for micro/mini-grid transactive energy 巴西共享电力:微/迷你电网交易能源的加密货币
2020 6th IEEE International Energy Conference (ENERGYCon) Pub Date : 2020-09-28 DOI: 10.1109/ENERGYCon48941.2020.9236510
Yuri B. Gabrich, I. M. Coelho, V. N. Coelho
{"title":"Sharing Electricity in Brazil: a crypto-currency for micro/mini-grid transactive energy","authors":"Yuri B. Gabrich, I. M. Coelho, V. N. Coelho","doi":"10.1109/ENERGYCon48941.2020.9236510","DOIUrl":"https://doi.org/10.1109/ENERGYCon48941.2020.9236510","url":null,"abstract":"The growing presence of Distributed Generation has kept alive the discussions for the active integration of medium/low-voltage power consumers into the energy market. Besides technical and economic difficulties faced so far, another point of view emerges from the use of blockchain technologies to make the Transactive Energy approach a reality. The current article presents a distributed application model for energy management and trade between members of a shareable consumption group, a kind of Distributed Generation regulated by the Brazilian Government. It also showcases the methodology of the crypto-currency Sharing Electricity in Brazil that can be used to allow power exchange operations at the scope of micro/mini-grids.","PeriodicalId":156687,"journal":{"name":"2020 6th IEEE International Energy Conference (ENERGYCon)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114490943","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: 2
Analysis of Environmental Effects in Diesel-Solar Minigrid Using HOMER Software and Modified Recipe Model 基于HOMER软件和修正配方模型的柴油-太阳能微型电网环境效应分析
2020 6th IEEE International Energy Conference (ENERGYCon) Pub Date : 2020-09-28 DOI: 10.1109/ENERGYCon48941.2020.9236505
M. Musau, Judith N Kimeu D.O Mbuge
{"title":"Analysis of Environmental Effects in Diesel-Solar Minigrid Using HOMER Software and Modified Recipe Model","authors":"M. Musau, Judith N Kimeu D.O Mbuge","doi":"10.1109/ENERGYCon48941.2020.9236505","DOIUrl":"https://doi.org/10.1109/ENERGYCon48941.2020.9236505","url":null,"abstract":"Use of Energy Sources (ES) have both positive and negative environmental effects. The process of attaining sustainability in the development of ES requires methods and tools to measure the environmental impacts of such a deployment and this includes the Renewable Energy Sources (RES). This paper considers the environmental impacts of Solar PV in an existing Diesel-PV minigrid using Life Cycle Assessment (LCA). Modified ReCiPe Model is adapted for the analysis ecosystem and health effects. The emissions are determined using HOMER software. Simulated results reveal that hybrid Diesel (D)-Solar (PV) (D-PV) is preferred in reducing the environmental effects at an increased emission allowable cost.","PeriodicalId":156687,"journal":{"name":"2020 6th IEEE International Energy Conference (ENERGYCon)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128806069","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
Photovoltaic power prediction using a recurrent neural network RNN 光伏发电功率预测采用递归神经网络RNN
2020 6th IEEE International Energy Conference (ENERGYCon) Pub Date : 2020-09-28 DOI: 10.1109/ENERGYCon48941.2020.9236461
M. H. Kermia, D. Abbes, J. Bosche
{"title":"Photovoltaic power prediction using a recurrent neural network RNN","authors":"M. H. Kermia, D. Abbes, J. Bosche","doi":"10.1109/ENERGYCon48941.2020.9236461","DOIUrl":"https://doi.org/10.1109/ENERGYCon48941.2020.9236461","url":null,"abstract":"The intermittent nature of solar energy creates a significant challenge for the optimization and planning of future smart grids. In order to reduce intermittency, it is very important to accurately predict Photovoltaic (PV) power generation. This work proposes a new prediction method based on the Recurrent Neural Network (RNN) for accurately predicting the yield of photovoltaic power generation systems. Our study used a Longe Short-Term Memory (LSTM) architecture. The LSTM approach can store information over time, which is valuable for time series prediction. The proposed prediction method is evaluated using real PV energy in Lille, France. Firstly, all solar time series data are divided into three main parts: 70% of the data are used to train the neural network, 20% of the data are used for verification and the other data are used for testing. The proposed prediction method has a good prediction quality in very short term (one-hour), which proves the reliability and cost-effectiveness of this method.","PeriodicalId":156687,"journal":{"name":"2020 6th IEEE International Energy Conference (ENERGYCon)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124005303","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: 3
Valuation of pumped storage in capacity expansion planning – a South African case study 抽水蓄能在产能扩张规划中的价值评估——一个南非的案例研究
2020 6th IEEE International Energy Conference (ENERGYCon) Pub Date : 2020-09-28 DOI: 10.1109/ENERGYCon48941.2020.9236591
Caroline van Dongen, B. Bekker
{"title":"Valuation of pumped storage in capacity expansion planning – a South African case study","authors":"Caroline van Dongen, B. Bekker","doi":"10.1109/ENERGYCon48941.2020.9236591","DOIUrl":"https://doi.org/10.1109/ENERGYCon48941.2020.9236591","url":null,"abstract":"According to the South African Integrated Resource Plan more flexible generation will be required to integrate the increased variable renewable energy generation and this will be provided by gas turbines and batteries. More studies need to be done to verify whether a renewables, gas/diesel and battery mix will provide the energy security South Africa currently obtains from base load stations. Supplementary reactive power and additional inertia may be needed to ensure system stability with the addition of high proportions of non-synchronous PV and wind generators. Pumped Storage can alleviate this issue as it is another form of flexible generation with fast ramping capacity, stored energy, and system inertia to provide security and stability to the grid. This paper investigates why Pumped Storage (PS) was not included in the future plan, and highlights potential issues with the modelling of PS in the current long-term energy planning model. The paper investigates the services and contributions of PS on the South African grid and makes recommendations for ancillary services costs to be included in the modeling methodology. The paper further highlights the uncertainty in technology costings and the impact thereof through sensitivity analyses using levelized cost of energy curves for pumped storage, gas turbines and batteries. Correctly valuing pumped storage and the ancillary services the technology provides is vital to accurately modelling the technology in long term energy planning models.","PeriodicalId":156687,"journal":{"name":"2020 6th IEEE International Energy Conference (ENERGYCon)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123520343","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: 2
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