IET Renewable Power Generation最新文献_第2页

Decentralized Optimal Scheduling for Coordination of Electricity and Gas Systems Considering Frequency and Virtual Inertia Constraints Under Uncertainty 不确定条件下考虑频率和虚惯性约束的电、气系统协调分散最优调度

IF 2.9 4区工程技术

IET Renewable Power Generation Pub Date : 2025-09-22 DOI: 10.1049/rpg2.70134

Alireza Ghadiri Jafarbiglou, Navid Taghizadegan Kalantari, Sajad Najafi Ravadanegh, Javad Salehi

{"title":"Decentralized Optimal Scheduling for Coordination of Electricity and Gas Systems Considering Frequency and Virtual Inertia Constraints Under Uncertainty","authors":"Alireza Ghadiri Jafarbiglou, Navid Taghizadegan Kalantari, Sajad Najafi Ravadanegh, Javad Salehi","doi":"10.1049/rpg2.70134","DOIUrl":"10.1049/rpg2.70134","url":null,"abstract":"The transition from traditional bulk generation to renewable energy is reshaping power systems, introducing security challenges due to decreased system inertia. Natural gas (NG)-fired units, known for their quick response, are often scheduled for operational flexibility, increasing interdependency between electrical and NG networks. However, the decentralized management of these networks by separate operators complicates coordinated system management. This study presents an optimization model that co-optimizes unit commitment (UC) and virtual inertia (VI) from wind farms (WF) while addressing frequency constraints (FC) and NG network limitations. The model's effectiveness is validated through two case studies: a smaller network with seven gas nodes and an IEEE 5-bus system, and a larger system with 20 gas nodes and an IEEE 118-bus system. The results show that incorporating VI constraints reduced costs by 0.8% in Case 1 and 25.8% in Case 2. However, applying FC in Case 2 increased costs by 7.1% while improving frequency stability. These findings underscore the importance of VI in reducing operational costs and enhancing grid stability, especially under variable gas supply conditions. The proposed model demonstrates economic efficiency and grid resilience, making it a useful tool for planning integrated energy systems with increasing renewable energy penetration.This study addresses the scheduling problem in power systems transitioning from traditional to renewable generation, which increases frequency security issues due to reduced system inertia. An optimization model co-optimizes UC and VI provision from WF, considering FC and operational limitations of the NG system (NGS). Case studies demonstrate the model's effectiveness and computational efficiency.","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/rpg2.70134","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145111311","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

Pricing of Park Charging Station Integrated Photovoltaic and Energy Storage Based On Metamodel Optimization Algorithm 基于元模型优化算法的光伏储能一体化公园充电站定价

IF 2.9 4区工程技术

IET Renewable Power Generation Pub Date : 2025-09-22 DOI: 10.1049/rpg2.70133

Wengang Chen, Jinchen Liu, Jiajia Chen, Bingyin Xu

{"title":"Pricing of Park Charging Station Integrated Photovoltaic and Energy Storage Based On Metamodel Optimization Algorithm","authors":"Wengang Chen, Jinchen Liu, Jiajia Chen, Bingyin Xu","doi":"10.1049/rpg2.70133","DOIUrl":"10.1049/rpg2.70133","url":null,"abstract":"With the rapid growth of electric vehicle (EV) ownership and the lower cost of photovoltaic (PV) modules, photovoltaic-energy storage charging station (PV-ES CS) will gradually become the main configuration method for EV charging station in the future due to its economic and environmental characteristics. However, uncertainty of EV charging behavior has led to the increasing pressure of power grid, so it is necessary to study and establish a new pricing mechanism to guide EV's charging behavior. The paper proposed a new pricing strategy used in three PV-ES CSs based on metamodel optimization algorithm. First, aiming at the uncertainty problem of PV output, a clustering method based on expected cost minimization is utilized to obtain typical PV output curves. Second, a Stackelberg game model between the PV-ES CSs and EV in the parks is established, and the metamodel optimization algorithm is used to solve the Stackelberg game model to simplify the computational complexity. Finally, the validity and practicality of the proposed method are verified through the simulation of a specific example.","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/rpg2.70133","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145111309","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

Adaptive Robust Nonlinear Optimal Sliding Mode Control for Wind Turbines: A Hybrid OHAM-Based Approach to Maximize Power Capture 风力发电机的自适应鲁棒非线性最优滑模控制：一种基于混合oham的最大功率捕获方法

IF 2.9 4区工程技术

IET Renewable Power Generation Pub Date : 2025-09-18 DOI: 10.1049/rpg2.70131

Arefe Shalbafian, Farhad Amiri, Soheil Ganjefar

{"title":"Adaptive Robust Nonlinear Optimal Sliding Mode Control for Wind Turbines: A Hybrid OHAM-Based Approach to Maximize Power Capture","authors":"Arefe Shalbafian, Farhad Amiri, Soheil Ganjefar","doi":"10.1049/rpg2.70131","DOIUrl":"10.1049/rpg2.70131","url":null,"abstract":"In this article, we propose an adaptive robust nonlinear optimal sliding mode control (SMC) using the optimal homotopy asymptotic method (RNOSC-OHAM) for maximizing wind power capture. Because of the unstable nature of the wind and the presence of uncertainties and disturbances in the structure of the wind turbine, the optimal controller cannot provide robustness against uncertainties. Hence, we integrated this approach with a proportional–integral–derivative SMC (PID-SMC) scheme to ensure the robustness of the system. The presented hybrid control input signal involves two components: a nonlinear optimal control law that provides the optimal performance of the nominal system and an adaptive PID-SMC law. The adaptive PID-SMC law employs a PID sliding surface along with adaptive mechanisms to create the robustness of the nonlinear wind turbine system. The nonlinear optimal control policy is designed by addressing the partial differential Hamilton–Jacobi–Bellman (HJB) equation. This equation is approximated using the OHAM. This combination strategy reduces the final time of the optimal control problems, provides desired responses and improves performance. Additionally, the RNOSC-OHAM controller facilitates the safe performance of the wind turbine under uncertainties and maximizes the wind power captured. To evaluate the performance of RNOSC-OHAM, the results of the presented algorithm are compared with some existing control schemes. The results indicate that the designed RNOSC-OHAM controller is very rapid and needs few iterations and computational costs. Indeed, the present control scheme exhibits the best characteristics and has the fastest transient response. The RNOSC-OHAM controller offers a proper balance between enhancing aerodynamic power capture and minimizing low-speed shaft fluctuations using a small control input.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70131","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145101855","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

Techno-Economic Multi-Criteria Decision-Making Framework for PV Hosting Capacity in Distribution Network Considering Demand Response Programs 考虑需求响应方案的配电网光伏装机容量技术经济多准则决策框架

IF 2.9 4区工程技术

IET Renewable Power Generation Pub Date : 2025-09-17 DOI: 10.1049/rpg2.70130

Ehsan Heydarian-Forushani, Hamid Karimi, Raymond Ghandour, Mohammad Salman, Hadi Zayyani

{"title":"Techno-Economic Multi-Criteria Decision-Making Framework for PV Hosting Capacity in Distribution Network Considering Demand Response Programs","authors":"Ehsan Heydarian-Forushani, Hamid Karimi, Raymond Ghandour, Mohammad Salman, Hadi Zayyani","doi":"10.1049/rpg2.70130","DOIUrl":"10.1049/rpg2.70130","url":null,"abstract":"This article presents an optimization-based multi-criteria decision-making framework in order to determine the optimal amount of photovoltaic (PV) hosting capacity in the distribution network, taking into account technical and economic aspects. As an effective tool for facilitating PV integration, the demand response (DR) is also integrated into the model using the price-elasticity concept. In this way, a comprehensive set of DR programs, including price-based, incentive-based and combinational programs, are modelled. In order to provide a guideline for distribution network operator to implement the most effective DR program, different programs are prioritized considering the defined economic and technical features using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The proposed model is tested on a 14-bus IEEE test system, and the simulation results show that critical peak pricing programs increase the ability of the distribution network to integrate PV resources more than 18.4 kW compared to the general case study. Moreover, it reduces the daily energy losses by 227.7 kWh.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70130","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145101413","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

Combining H∞ Control and Communication-Free Power Allocation for Enhanced Stability in VSC-MTDC Networks With Offshore Wind Farms 结合H∞控制和无通信功率分配提高海上风电场VSC-MTDC网络稳定性

IF 2.9 4区工程技术

IET Renewable Power Generation Pub Date : 2025-09-16 DOI: 10.1049/rpg2.70128

Mohsen Darabian, Mohammad Javad Moeininia, Ehsan Akbari

{"title":"Combining H∞ Control and Communication-Free Power Allocation for Enhanced Stability in VSC-MTDC Networks With Offshore Wind Farms","authors":"Mohsen Darabian, Mohammad Javad Moeininia, Ehsan Akbari","doi":"10.1049/rpg2.70128","DOIUrl":"10.1049/rpg2.70128","url":null,"abstract":"This research explores stability challenges in power systems from integrating offshore wind farms (OWFs) with voltage source converter (VSC)-based multi-terminal direct current (MTDC) networks. A novel two-level integrated control (TLIC) framework is proposed to enhance frequency regulation at grid-side VSC (GSVSC) stations. The first level features adaptive inertial control (AIC) and adaptive droop control (ADC). By dynamically adjusting AIC and ADC parameters, wind units (WUs) in maximum power point tracking (MPPT) mode effectively mitigate secondary frequency fall (SFF). WUs are clustered by rotor speeds, enabling staged frequency support for improved responsiveness. The second level uses a communication-independent allocation (CIA) strategy, relying on local frequency measurements in the onshore power system (OPS) to balance power distribution among GSVSC stations. This bolsters OPS frequency stability and minimises SFF during MPPT operations. A robust H∞ controller, designed via loop-shaping, is applied at the wind farm-side VSC (WSVSC), employing multi-criteria decision-making (MCDM) for voltage optimisation. The MTDC DC voltage employs a Master-Slave (MS) configuration to suppress variations under disturbances. MATLAB simulations across scenarios validate the strategy's robustness in damping oscillations from uncertainties.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70128","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145101592","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 Ultra-Short-Term Wind Power Forecasting Method Based on Adaptive Cleaning of Streaming Data and Differentiating of Input Feature Contributions 基于流数据自适应清洗和输入特征贡献区分的超短期风电预测方法

IF 2.9 4区工程技术

IET Renewable Power Generation Pub Date : 2025-09-16 DOI: 10.1049/rpg2.70127

Yuhao Li, Han Wang, Chang Ge, Jie Yan, Shuang Han, Yongqian Liu

{"title":"An Ultra-Short-Term Wind Power Forecasting Method Based on Adaptive Cleaning of Streaming Data and Differentiating of Input Feature Contributions","authors":"Yuhao Li, Han Wang, Chang Ge, Jie Yan, Shuang Han, Yongqian Liu","doi":"10.1049/rpg2.70127","DOIUrl":"10.1049/rpg2.70127","url":null,"abstract":"Ultra-short-term wind power forecasting plays a crucial role in real-time dispatching, frequency regulation, and intraday electricity market transactions. Forecasting accuracy heavily depends on data quality and feature informativeness. However, most existing studies conduct data cleaning offline, with limited attention to real-time data quality during forecasting. Moreover, they often use historical power and NWP data uniformly, neglecting the time-varying importance of input features. To address these issues, this paper proposes an ultra-short-term wind power forecasting method based on dynamic cleaning of streaming data anomalies and adaptive processing of input feature contributions. Firstly, similar samples of the current wind process are retrieved online via time series similarity matching, enabling real-time anomaly detection in streaming data. Secondly, anomalous power sequences are reconstructed using a theoretical restoration model based on wind speed fluctuation identification. Finally, a forecasting architecture with personalised encoding and dynamically fused decoding is designed to enhance prediction accuracy. The proposed method has been successfully applied to a wind-solar-storage power station in Inner Mongolia, supporting both grid dispatching operations and daily maintenance. Compared to baseline methods, it achieves average reductions in forecasting errors of 0.59–9.99 percentage points for RMSE and 0.62–8.49 percentage points for MAE.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70127","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145101591","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

Nonlinear Modal Analysis of Hybrid Multi-Terminal DC Transmission Systems Linked to Wind Farms 与风电场相连的混合多端直流输电系统的非线性模态分析

IF 2.9 4区工程技术

IET Renewable Power Generation Pub Date : 2025-09-03 DOI: 10.1049/rpg2.70126

Ali Ziaei, Reza Ghazi, Roohalamin Zeinali Davarani

{"title":"Nonlinear Modal Analysis of Hybrid Multi-Terminal DC Transmission Systems Linked to Wind Farms","authors":"Ali Ziaei, Reza Ghazi, Roohalamin Zeinali Davarani","doi":"10.1049/rpg2.70126","DOIUrl":"10.1049/rpg2.70126","url":null,"abstract":"The integration of renewable energy sources, particularly wind farms, into modern power systems requires advanced transmission technologies. High voltage direct current (HVDC) systems, especially in multi-terminal configurations (MTDC), are effective for transferring high power to the grid. However, there are concerns about the interaction of HVDC controllers with other devices of the system, which can lead to instability in the power system. Additionally, the complexity of new systems, due to the integration of power electronics and control systems, increases the potential for interaction with the torsional modes of the wind turbine. This paper conducts a nonlinear modal analysis (NLMS) of hybrid MTDC systems connected to wind farms, examining component interactions and their stability on impact. (NLMS is employed as the primary analytical method. The results obtained from this method are compared with those from linear modal analysis and the fourth-order Runge-Kutta (RK4) method.By using the NLMS technique, it reveals insights into complex interactions under various conditions and quantifies how controller parameters affect stability. This research enhances the understanding of dynamics in hybrid HVDC systems and lays the groundwork for future studies and practical applications in resilient power network design and operation.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70126","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144929716","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

Introducing a Novel Controller for Combined Load Frequency Control and Automatic Voltage Regulation of Interconnected Microgrids 介绍了一种用于互联微电网负荷联合变频和电压自动调节的新型控制器

IF 2.9 4区工程技术

IET Renewable Power Generation Pub Date : 2025-08-27 DOI: 10.1049/rpg2.70125

Zahra Esmaeili, Hossein Heydari

{"title":"Introducing a Novel Controller for Combined Load Frequency Control and Automatic Voltage Regulation of Interconnected Microgrids","authors":"Zahra Esmaeili, Hossein Heydari","doi":"10.1049/rpg2.70125","DOIUrl":"10.1049/rpg2.70125","url":null,"abstract":"The microgrid exhibits low inertia levels and small X/R ratios. Consequently, load changes can adversely affect microgrid stability. However, frequency and voltage oscillations can be mitigated through the use of a load frequency control (LFC) system and an automatic voltage regulator (AVR), which serve as secondary control mechanisms. Additionally, the integration of photovoltaic (PV) and wind turbine (WT) in microgrids complicates the performance of LFC and voltage control due to the uncertainties associated with these renewable sources. Therefore, it is essential to employ a suitable controller with optimal parameters. To address this, this paper introduces a novel control technique known as the tilt-proportional-integral-derivative second-order derivative controller (TPIDD2) to concurrently manage the voltage and frequency of microgrids. It also incorporates an intelligent optimisation algorithm integrated with quantum computing, referred to as quantum teaching-learning-based optimisation (QTLBO), to achieve optimal control parameters. The test system consists of a two-area interconnected microgrid, where each area includes various sources such as PV, WT, fuel cell (FC), diesel generator, and battery energy storage system (BESS). The integral of time multiplied by the squared error (ITSE) is utilised as the objective function. To demonstrate the effectiveness of the proposed controller, it is compared with the proportional-integral-derivative (PID) controller. From the ITSE perspective, the proposed controller is 71.96% more effective than the PID controller. Furthermore, the results obtained using QTLBO are contrasted with those from teaching-learning based optimization (TLBO), differential evolution (DE), and RCGA.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70125","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905417","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

Spatial-Temporal Analysis of ‘Power Drought’ Under Compound Dry-Hot Events for Renewable Power Systems 复合干热事件下可再生能源系统“电力干旱”的时空分析

IF 2.9 4区工程技术

IET Renewable Power Generation Pub Date : 2025-08-25 DOI: 10.1049/rpg2.70120

Xiaoyan Bian, Xueer Wang, Bo Zhou, Jiawei Zhang, Tingting Wang, Shunfu Lin

{"title":"Spatial-Temporal Analysis of ‘Power Drought’ Under Compound Dry-Hot Events for Renewable Power Systems","authors":"Xiaoyan Bian, Xueer Wang, Bo Zhou, Jiawei Zhang, Tingting Wang, Shunfu Lin","doi":"10.1049/rpg2.70120","DOIUrl":"10.1049/rpg2.70120","url":null,"abstract":"In recent years, compound dry-hot events have significantly impacted human society, particularly affecting the source and load sides of the power system. With the increasing penetration of renewable energy, these events pose growing challenges to power supply-demand balances. Therefore, this paper proposes the concept of ‘power drought’ for the first time to quantify the severity of supply-demand imbalances and identify their spatial-temporal evolution under compound dry-hot events. The analysis begins by examining the coupling between meteorological parameters, renewable energy output and load demand under compound dry-hot events. Specifically, the concept of power drought is defined, followed by the formulation of relevant evaluation metrics. Then, a spatial-temporal clustering algorithm and a centroid migration model are applied to analyse the evolution characteristics of power drought events. Finally, the validity and practicality of the proposed method are demonstrated using practical data from a certain region to analyse the evolution of power drought over the past decade. Case studies reveal a south-westward migration of power drought centroids, with 66.49% of grids showing positive correlation between the standardised compound event index and the power drought index.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70120","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144897483","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

Research on Reactive Power Hierarchical Coordination Optimization Control Strategy of Wind-Photovoltaic Hybrid Grid-Connected System 风电光伏混合并网系统无功层次协调优化控制策略研究

IF 2.9 4区工程技术

IET Renewable Power Generation Pub Date : 2025-08-25 DOI: 10.1049/rpg2.70124

Hong Zhang, Qianwei Xi, Lei Chen, Ling Hao, Yong Min, Xiongxiong Fan, Wenjing Fang, Nan Tian, Fei Xu

{"title":"Research on Reactive Power Hierarchical Coordination Optimization Control Strategy of Wind-Photovoltaic Hybrid Grid-Connected System","authors":"Hong Zhang, Qianwei Xi, Lei Chen, Ling Hao, Yong Min, Xiongxiong Fan, Wenjing Fang, Nan Tian, Fei Xu","doi":"10.1049/rpg2.70124","DOIUrl":"10.1049/rpg2.70124","url":null,"abstract":"Currently, reactive power compensation in wind-photovoltaic (PV) hybrid grid-connected systems is typically controlled independently by the wind farm and PV station, lacking a coordination mechanism between them. To address this, we propose a reactive power hierarchical control strategy for wind-PV hybrid systems. Building on an analysis of reactive power source regulation characteristics and reactive power sensitivity, a three-layer reactive power control structure for wind-PV hybrid grid-connected systems is proposed based on the hierarchical control concept. At the system layer, the reactive power compensation requirements for the entire system are determined using the reactive voltage sensitivity of the system collection bus. At the station layer, reactive power allocation tasks for the wind farm and PV station are determined using a hierarchical optimisation control model. At the equipment layer, reactive power allocation tasks for wind turbines, PV inverters, and dynamic reactive power compensation equipment are determined according to the allocation principles governing reactive power sources within the wind farm and PV station. Compared with traditional control strategy, the control strategy in this paper can make full use of the reactive power control capability of the reactive power sources within the system to achieve optimal allocation of the reactive power compensation tasks in the whole system. The average reduction in system network losses reached 8.14%, and the bus voltage at the collection point could be essentially stabilised around 1.0 pu so as to achieve the purpose of improving the stability of the collection bus voltage of the system and point of common coupling (PCC) bus voltage of the station and reducing the system network loss.","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.70124","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144897394","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