IET Renewable Power Generation最新文献

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Operational Planning of Hydrogen Energy Storage Systems Using Risk-Averse Stochastic Programming 基于风险规避随机规划的储氢系统运行规划
IF 2.9 4区 工程技术
IET Renewable Power Generation Pub Date : 2025-10-09 DOI: 10.1049/rpg2.70147
Mohammad Haghjoo-Haghighi, Mohammad Gholami, Hassan Mahdavi, Masume Khodsuz
{"title":"Operational Planning of Hydrogen Energy Storage Systems Using Risk-Averse Stochastic Programming","authors":"Mohammad Haghjoo-Haghighi,&nbsp;Mohammad Gholami,&nbsp;Hassan Mahdavi,&nbsp;Masume Khodsuz","doi":"10.1049/rpg2.70147","DOIUrl":"https://doi.org/10.1049/rpg2.70147","url":null,"abstract":"<p>This paper presents a scenario-based stochastic optimization framework for mobile hydrogen energy storage systems (HESS) integrated with renewable generation and demand response. The model captures relocation dynamics across multiple buses and incorporates financial risk using conditional value-at-risk (CVaR). Key features include scenario reduction for wind and solar uncertainties, downside risk constraints, and temporal coupling between relocation and energy states. The objective function balances expected operating cost and risk exposure, enabling robust dispatch under uncertainty. Simulations on the IEEE 33-bus system show that mobile HESS units outperform stationary hydrogen configurations, achieving up to 8.4% cost reduction despite relocation penalties. Benchmarking against mobile battery systems reveals that battery-based setups yield lower operating costs—approximately 9.9% less—due to higher round-trip efficiency. However, the spatial and long-duration flexibility of HESS remains a strategic advantage, especially under extended congestion. The proposed framework advances mobile energy storage modelling by integrating mobility, uncertainty management, and risk-aware dispatch. It offers a scalable solution for resilient energy planning and can be extended to include load-dependent efficiency, probabilistic demand response, and multi-carrier energy coordination.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70147","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145272240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Real-Time Energy Management Strategy for Multi-Microgrids With Multiple Energy Resources Using Quantum Inspired Balancing 基于量子激励平衡的多微电网多能源实时管理策略
IF 2.9 4区 工程技术
IET Renewable Power Generation Pub Date : 2025-10-07 DOI: 10.1049/rpg2.70138
Muhammad Shahzad, Tahir Nadeem Malik, Muhammad Faisal Nadeem Khan
{"title":"A Real-Time Energy Management Strategy for Multi-Microgrids With Multiple Energy Resources Using Quantum Inspired Balancing","authors":"Muhammad Shahzad,&nbsp;Tahir Nadeem Malik,&nbsp;Muhammad Faisal Nadeem Khan","doi":"10.1049/rpg2.70138","DOIUrl":"https://doi.org/10.1049/rpg2.70138","url":null,"abstract":"<p>Energy management systems (EMSs) play a pivotal role in modern power systems by orchestrating resource optimization, cost reduction, and resilience enhancement amid increasing renewable penetration and decentralized energy paradigms. This paper introduces a novel three-tiered hierarchical EMS framework for multi-microgrid (MMG) networks, designed to address the dual challenges of dynamic energy coordination and operational efficiency in heterogeneous grid environments. The architecture consists of a distributed control layer that autonomously regulates distributed energy resources and energy storage systems within individual MGs through adaptive droop control. The optimization planning layer incorporates advanced day-ahead stochastic scheduling algorithms and introduces a novel quantum-inspired adaptive balancing strategy, which dynamically adjusts the obtained day-ahead schedules to mitigate forecasting errors and enhance operational robustness under uncertainty within an individual MG. The integrated grid management layer features a decentralized, privacy-preserving peer-to-peer energy exchange mechanism that coordinates surplus and deficit energy profiles across MMGs without compromising data privacy. The layer only required the energy access/deficit information along with the buy/sell price to optimally manage the energy transfer within MGs. Comprehensive simulations under heterogeneous forecast uncertainty scenarios show the effectiveness of the proposed EMS to optimize energy flows and cost efficiency while maintaining grid stability under various type of forecast errors. Moreover, comparisons with existing EMSs validate the optimal performance of the proposed method.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70138","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Transient Synchronous Stability Evaluation of Heterogeneous Power Grids With Grid-Following and Grid-Forming Converters by Manifold Theory 基于流形理论的随网变流器和成网变流器异质电网暂态同步稳定性评估
IF 2.9 4区 工程技术
IET Renewable Power Generation Pub Date : 2025-10-07 DOI: 10.1049/rpg2.70141
Saizhao Yang, Rui Ma, Yitong Li, Jinyu Wen
{"title":"Transient Synchronous Stability Evaluation of Heterogeneous Power Grids With Grid-Following and Grid-Forming Converters by Manifold Theory","authors":"Saizhao Yang,&nbsp;Rui Ma,&nbsp;Yitong Li,&nbsp;Jinyu Wen","doi":"10.1049/rpg2.70141","DOIUrl":"https://doi.org/10.1049/rpg2.70141","url":null,"abstract":"<p>The energy function method developed from Lyapunov theory is a typical direct method to evaluate the transient synchronous stability of traditional power grids. Different from grid-forming (GFM) converters mimicking characteristics of synchronous generators (SGs), grid-following (GFL) converters behave like current sources. The integration of multiple GFL converters poses challenges of constructing energy functions for transient synchronous stability assessment, which is analysed in this paper. In addition, the damping terms of GFL converters are highly dependent on phase angles. Due to the indefinite damping terms of GFL converters, assessment results might be optimistic or conservative, if neglecting damping terms to construct energy functions. Thus, based on manifold theory, an alternative without constructing energy functions is proposed for transient synchronous stability assessment of multi-converter-based power grids. Firstly, a hybrid modelling with equivalent voltage and current sources is built to accommodate different network topologies and types of converters. Then, benefiting from the first-order approximation of manifolds and the geometrical analysis of the region of attraction (ROA) boundary, a criterion designed by manifold theory is proposed and employed for transient synchronous stability evaluation. In addition, the transient synchronous stability margin <i>k<sub>rel</sub>ζ</i> is defined to avoid optimistic results. Finally, modified IEEE 4-generator 11-bus and IEEE 10-generator 39-bus systems are built on the MATLAB/Simulink platform to validate the effectiveness of the method.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70141","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Explainable Stacked Ensemble Model for Short-Term Net Load Forecasting 短期净负荷预测的可解释叠加集成模型
IF 2.9 4区 工程技术
IET Renewable Power Generation Pub Date : 2025-10-04 DOI: 10.1049/rpg2.70145
Sina Hossein Beigi Fard, Amir Hossein Baharvand, Amir Hossein Poursaeed, Meysam Doostizadeh
{"title":"Explainable Stacked Ensemble Model for Short-Term Net Load Forecasting","authors":"Sina Hossein Beigi Fard,&nbsp;Amir Hossein Baharvand,&nbsp;Amir Hossein Poursaeed,&nbsp;Meysam Doostizadeh","doi":"10.1049/rpg2.70145","DOIUrl":"https://doi.org/10.1049/rpg2.70145","url":null,"abstract":"<p>Estimating electricity load is paramount in the strategic planning and operation of power systems, ensuring the efficient and sustainable operation of contemporary electricity supply networks. This study proposes a Stacked Ensemble (SE) model to address these concerns and enhance short-term net load forecasting (STNLF) by combining bidirectional long short-term memory, support vector machine, and random forest (RF) models. An autoencoder is also used to optimise the input data, which extracts critical features from the data and enhances predictive accuracy. This SE model is designed to incorporate Explainable Artificial Intelligence (XAI) as an integral part, providing users detailed insights into input variable influences such as temperature, solar radiation, and wind speed, all interpretable and relevant, thus improving the transparency of the forecasting process. The proposed method is evaluated against real historical time-series data in Austria from 2018 and 2019 regarding hourly measurements for temperature, solar energy, wind turbine generation, and actual loads. Results indicate that the SE model can capture complex data patterns, whereby XAI features actionable insights and proves a reasonable concurrent behaviour prediction with boundary-specific realities. Remarkably, the proposed SE model surpassed traditional machine learning approaches on many performance metrics while showcasing robustness and reliability in increasingly improving STNLF accuracy.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70145","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Disturbance Observer-Aided SSA-TID Control for Frequency Stabilisation in Hybrid Renewable Power Systems 干扰观测器辅助的SSA-TID混合可再生电力系统频率稳定控制
IF 2.9 4区 工程技术
IET Renewable Power Generation Pub Date : 2025-09-30 DOI: 10.1049/rpg2.70137
Rakibul Hasan, Md. Mahmudul Hasan, M. S. Rana, Fariya Tabassum, Mst. Nafisa Binte Reza
{"title":"Disturbance Observer-Aided SSA-TID Control for Frequency Stabilisation in Hybrid Renewable Power Systems","authors":"Rakibul Hasan,&nbsp;Md. Mahmudul Hasan,&nbsp;M. S. Rana,&nbsp;Fariya Tabassum,&nbsp;Mst. Nafisa Binte Reza","doi":"10.1049/rpg2.70137","DOIUrl":"https://doi.org/10.1049/rpg2.70137","url":null,"abstract":"<p>Power systems with high renewable energy (RE) penetration are increasingly vulnerable to frequency instabilities caused by the stochastic nature of RE sources and load-generation imbalances. Additional challenges such as communication delays in phasor measurement units (PMUs), nonlinearities like governor deadband (GDB) and generation rate constraints (GRC) and cross-coupling between load frequency control (LFC) and automatic voltage regulation (AVR) loops further impair system stability. This paper proposes an efficient control framework that combines a fractional-order tilt-integral-derivative (TID) controller, optimised using the salp swarm algorithm (SSA), with a continuous-time disturbance observer (DO) for real-time estimation and rejection of aggregate disturbances. Unlike traditional approaches that rely solely on complex feedback controllers, the integration of the DO improves robustness against nonlinearities and disturbances while maintaining a low-order control structure. The controller parameters are optimised over a nonlinear time-delay model of a two-area hybrid power system, considering both inter-area coupling and dynamic uncertainties, using SSA, genetic algorithm (GA), particle swarm optimisation (PSO) and Archimedes optimisation algorithms (AOA). The proposed SSA-TID-DO controller achieved the lowest objective function value (IAE = 0.2367), clearly outperforming SSA-TID (0.4082), SSA-PID (0.6413), PSO-TID (0.4434), GA-TID (0.4515) and AOA-TID (0.4435) controllers. The results highlight the effectiveness and practicality of the proposed strategy for robust frequency regulation in RE-dominated power systems.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70137","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145224488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Day-Ahead Electricity Market Planning in the Presence of Wind Farms and Uncertain Customers Considering Demand Response Programs 考虑需求响应方案的风电场和不确定客户存在下的日前电力市场规划
IF 2.9 4区 工程技术
IET Renewable Power Generation Pub Date : 2025-09-27 DOI: 10.1049/rpg2.70139
Reza Naghizadeh Kouchesfahani, Seyed Saeid Mohtavipour, Hamed Mojallali
{"title":"Day-Ahead Electricity Market Planning in the Presence of Wind Farms and Uncertain Customers Considering Demand Response Programs","authors":"Reza Naghizadeh Kouchesfahani,&nbsp;Seyed Saeid Mohtavipour,&nbsp;Hamed Mojallali","doi":"10.1049/rpg2.70139","DOIUrl":"10.1049/rpg2.70139","url":null,"abstract":"<p>The growth of penetration of wind sources in the power system along with demand response programmes (DRPs) has led the electricity market and decision-making process in a complicated pathway. The inherent uncertainty of demand behaviour and wind turbine generation increases the complexity of decision-making as well. In this research, a new economic index is introduced to assess the feasibility of the mathematical modelling of the power system's economic performance from the consumers' and producers' social welfare perspective. The uncertainty is represented using the empirical cumulative distribution function along with the Monte Carlo method, and a probabilistic market analysis is conducted. The role of the spot market along with different demand response modelling and uncertainty in market clearing is addressed, and the functionality of the model in a comprehensive survey is demonstrated. Real data on an 8-bus test system is surveyed, and the efficiency of this approach to discovering the locational marginal prices is cleared to empower the independent system operator to monitor the market precisely. The results illustrate that the producer's and customer's costs reduced significantly, and the integration of participants in the spot market increases their profit and income.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70139","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145146620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhanced Secondary Control for Power/Current Sharing in DC Microgrids Considering Communication-Links Failures and Current and Voltage-Controlled Converters 考虑通信链路故障和电流和电压控制变换器的直流微电网功率/电流共享的增强二次控制
IF 2.9 4区 工程技术
IET Renewable Power Generation Pub Date : 2025-09-25 DOI: 10.1049/rpg2.70136
Juliana C. Neves, Rafaela D. Silveira, Sergio A. O. da Silva, Leonardo P. Sampaio, Sebastián de J. Manrique Machado
{"title":"Enhanced Secondary Control for Power/Current Sharing in DC Microgrids Considering Communication-Links Failures and Current and Voltage-Controlled Converters","authors":"Juliana C. Neves,&nbsp;Rafaela D. Silveira,&nbsp;Sergio A. O. da Silva,&nbsp;Leonardo P. Sampaio,&nbsp;Sebastián de J. Manrique Machado","doi":"10.1049/rpg2.70136","DOIUrl":"10.1049/rpg2.70136","url":null,"abstract":"<p>The stable operation of DC microgrids requires robust secondary control strategies capable of ensuring accurate power sharing and bus voltage regulation, even under adverse conditions. Traditional approaches are generally based on proportional sharing according to the nominal capacities of the converters, which limits operational flexibility in scenarios requiring critical load prioritisation or maintenance strategies. This paper proposes a distributed secondary control strategy that enables individualised power allocation among converters without compromising system stability. The effectiveness of the proposed approach is validated through simulations and practical experiments under different operating conditions, including load variations, disturbances, and communication failures, demonstrating its accuracy, robustness, and applicability.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70136","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145146550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Isolated Ripple-Free Input Current Resonant Interleaved High Step-Up DC–DC Converter With Active Voltage Quadrupler for Renewable Energy Systems 用于可再生能源系统的带有源电压四倍器的隔离无纹波输入电流谐振交错高升压DC-DC变换器
IF 2.9 4区 工程技术
IET Renewable Power Generation Pub Date : 2025-09-23 DOI: 10.1049/rpg2.70132
Aziz Tashackori, Tohid Nouri, Mahdi Shaneh, Sara Hasanpour
{"title":"An Isolated Ripple-Free Input Current Resonant Interleaved High Step-Up DC–DC Converter With Active Voltage Quadrupler for Renewable Energy Systems","authors":"Aziz Tashackori,&nbsp;Tohid Nouri,&nbsp;Mahdi Shaneh,&nbsp;Sara Hasanpour","doi":"10.1049/rpg2.70132","DOIUrl":"10.1049/rpg2.70132","url":null,"abstract":"<p>This paper presents an isolated resonant high step-up DC-DC converter with ripple-free input current (RFIC). At the low-voltage side (LVS), an interleaved current-fed bridge is employed while its switches are operated with a constant duty cycle of 0.5 to achieve RFIC. By active clamp circuits, firstly, the zero voltage switching (ZVS) is ensured for LVS switches; secondly, the stored energy of the leakage inductance is recycled; and thirdly, the voltage stresses across the switches are clamped at the value of <i>2V<sub>IN</sub></i> that is much lower than the high output voltage. The last item enables the implementation of low voltage rated switches with low ON-state resistance. Through an active voltage quadrupler (AVQ) at the high-voltage side (HVS) and a transformer, the voltage gain is significantly extended. The switches of the AVQ are responsible for voltage gain regulation and experience half of the output voltage during the OFF-state. Due to the provided resonance by the auxiliary inductor and multiplier capacitors, the currents of the body diodes of the HVS switches smoothly reach zero, diminishing the reverse recovery losses. The steady-state analysis of the proposed converter is presented in detail and is validated by the fabrication of a 400W 40–400 V prototype with 96.1% peak efficiency.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70132","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145129296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Comprehensive Review of Option Value in Energy Economics 能源经济学中期权价值的综合评价
IF 2.9 4区 工程技术
IET Renewable Power Generation Pub Date : 2025-09-23 DOI: 10.1049/rpg2.70122
Spyros Giannelos, Danny Pudjianto, Federica Bellizio, Dawei Qiu, Goran Strbac
{"title":"A Comprehensive Review of Option Value in Energy Economics","authors":"Spyros Giannelos,&nbsp;Danny Pudjianto,&nbsp;Federica Bellizio,&nbsp;Dawei Qiu,&nbsp;Goran Strbac","doi":"10.1049/rpg2.70122","DOIUrl":"10.1049/rpg2.70122","url":null,"abstract":"<p>This review examines the economic concept of option value for the economic integration of renewables in power systems, considering energy markets' distinctive characteristics. Energy markets exhibit limited storability, price volatility, seasonality patterns, and network constraints that necessitate specialised valuation approaches beyond traditional financial models. We provide a comprehensive analysis of methodologies ranging from conventional financial techniques—Black-Scholes models, binomial trees, Monte Carlo simulation, and partial differential equations—to advanced computational approaches including stochastic optimisation, machine learning, and reinforcement learning. The paper explores how real options theory provides a framework for quantifying the value of flexibility in power systems. Emphasis is placed on smart technologies, whose option value stems from their ability to defer or displace conventional investments under uncertainty. We discuss how stochastic optimisation effectively captures the sequential decision-making characteristic of real options in energy systems. The review highlights emerging applications of machine learning and reinforcement learning for valuing energy derivatives and flexibility options, addressing computational challenges of high-dimensional problems. Finally, we identify promising research directions, including integrated physical-financial modelling frameworks, advanced computational methods, and agent-based approaches for capturing strategic behaviour in evolving energy markets characterised by increasing decarbonisation, digitalisation, and decentralisation.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70122","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145129293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Advanced Harmonic Forecasting in Offshore Wind Farms with Permanent Magnet Synchronous Generators Using a Hybrid Deep and Machine Learning Architecture 使用混合深度和机器学习架构的永磁同步发电机海上风电场的高级谐波预测
IF 2.9 4区 工程技术
IET Renewable Power Generation Pub Date : 2025-09-22 DOI: 10.1049/rpg2.70135
Alp Karadeniz
{"title":"Advanced Harmonic Forecasting in Offshore Wind Farms with Permanent Magnet Synchronous Generators Using a Hybrid Deep and Machine Learning Architecture","authors":"Alp Karadeniz","doi":"10.1049/rpg2.70135","DOIUrl":"10.1049/rpg2.70135","url":null,"abstract":"<p>Wind energy is crucial for reducing fossil fuel dependence and promoting sustainability. Offshore wind farms (OWFs) benefit from higher, stable wind speeds but pose challenges such as harmonic distortion and voltage fluctuations when integrated into power grids. This study develops an advanced model for accurate harmonic forecasting in OWFs using permanent magnet synchronous generators (PMSG). Real meteorological data from Zonguldak and Sinop in the Black Sea region of Turkey were used to simulate power output, voltage, and current waveforms. Harmonic components, including total harmonic distortion for voltage (THDV) and current (THDI), were extracted and predicted. Various machine learning (ML) and deep learning (DL) algorithms were applied, including Linear Regression, Decision Tree, Random Forest, Gradient Boosting, XGBoost, KNeighbors, LSTM, GRU, and CNN. Additionally, hybrid ML-DL models were explored to enhance forecasting accuracy. A comparative analysis of these models demonstrated their effectiveness in improving harmonic prediction. Results indicate that hybrid models, particularly LSTM+GB and GRU+GB, improve harmonic forecasting accuracy by reducing RMSE by approximately 15% compared to traditional ML methods. This enhancement contributes to better power quality management and grid stability, making offshore wind farms more viable for large-scale renewable energy integration. The findings of this research provide a fundamental basis for future investigations into offshore wind harmonic forecasting.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70135","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145111250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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