微型电脑应用2025，Vol.41Issue(4)：78-83,6.
电加热装置接入后的风光火联合发电系统优化控制
Optimization Control of Wind-solar-thermal Hybrid Power Generation System with Electric Heating Device Integration
摘要
Abstract
After integrating electric heating devices into the wind-solar-thermal hybrid power generation system,issues such as uneven voltage,strong magnetic fields,and current effects lead to increased renewable energy curtailment,reduced system op-erational stability,and higher operating costs.To address these problems,an optimization control strategy for the wind-solar-thermal hybrid power generation system with electric heating device integration is proposed.The empirical mode decomposition algorithm is employed to allocate power within the electric heating device,ensuring smoother operational power after its inte-gration into the hybrid system.A dual-layer optimization control model for the energy of the electric heating device is construc-ted,incorporating objective functions and constraints to achieve energy allocation optimization and operational optimization.The particle swarm optimization algorithm is used to solve the model,thereby optimizing the energy control of the wind-solar-thermal hybrid power generation system.Experimental results demonstrate that the proposed method exhibits a minor decline in the frequency regulation curve of the electric heating device,with minimal occurrences of wind,solar,or power curtailment.Additionally,the current waveform distortion rate is low,and photovoltaic power curtailment is significantly reduced.These findings validate the effectiveness of the proposed method in optimizing the operation of the wind-solar-thermal hybrid power generation system after the integration of electric heating devices.关键词
电加热装置/风光火联合发电系统/经验模态分解/功率失配/双层优化模型Key words
electric heating device/wind-solar-thermal hybrid power generation system/empirical mode decomposition/power mismatch/dual-layer optimization model分类
信息技术与安全科学引用本文复制引用
陈吉,何平,费丹雄,张丽美,任小宇..电加热装置接入后的风光火联合发电系统优化控制[J].微型电脑应用,2025,41(4):78-83,6.基金项目
国网上海供电公司科技项目(5209231900CN) （5209231900CN）
上海市自然科学基金资助项目(858556843) （858556843）
