中国电力2026，Vol.59Issue(2)：37-46,10.DOI:10.11930/j.issn.1004-9649.202507028
考虑储能与多类型制氢装置协同的虚拟电厂优化调度
Optimization scheduling of virtual power plants with collaborations of energy storage devices and multi-type power-to-hydrogen units
摘要
Abstract
To address the challenges posed by the volatility of wind and solar power output on virtual power plant scheduling and renewable energy consumption,a coordinated optimization scheduling method for energy storage and multi-type power-to-hydrogen(P2H)facilities is proposed.Firstly,the output of wind and solar power is decomposed into low-,medium-,and high-frequency components using empirical mode decom-position,which are then matched with the respective charac-teristics of alkaline electrolyzer,proton exchange membrane electrolyzer,and energy storage systems to achieve frequency-division and collaborative consumption of renewable energy.Secondly,an optimization model is constructed to minimize the configuration and operation costs,considering such constraints as electrolyzing powers,state-of-charge of energy storage devices,and power balances.Finally,a three-stage algorithm is designed to determine the optimal scheduling scheme.Simul-ation results demonstrate that,compared to the collaborative dispatch strategy utilizing a single-type electrolyzer or the strategy combining energy storage with a single-type electrolyzer,the proposed method reduces the curtailment rate to 0.14%,significantly enhancing the consumption efficiency of renewable energy and improving system economics.关键词
虚拟电厂/优化调度/经验模态分解/电制氢/协同优化Key words
virtual power plant/optimization scheduling/em-pirical mode decomposition/power-to-hydrogen/collaborative optimization引用本文复制引用
黄松涛,赵雪楠,尚国政,赵鹏宇,董文静,张亚健,杨毅..考虑储能与多类型制氢装置协同的虚拟电厂优化调度[J].中国电力,2026,59(2):37-46,10.基金项目
This work is supported by Natural Science Foundation of Shanghai(No.25ZR1402170) （No.25ZR1402170）
Science and Technology Project of State Grid East Inner Mongolia Electric Power Supply Co.,Ltd.(No.52660024000G). 上海市自然科学基金资助项目(25ZR1402170) （No.52660024000G）
国网蒙东电力科技项目(52660024000G). （52660024000G）
