黄灿兵,熊妮,吴伟,刘诗剑,张巧,杨锡运
HUANG Canbing,XIONG Ni,WU Wei,LIU Shijian,ZHANG Qiao,YANG Xiyun

• 1:中电投喜德电力有限公司
• 2:国网四川省电力公司天府新区供电公司
• 3:国家电投集团四川电力有限公司
• 4:国家电投集团西南能源研究院有限公司

摘要(Abstract)：

虚拟电厂作为一种整合了多种能源的新型能源系统形式，参与电网一次调频的作用越来越重要。鉴于此，提出一种基于改进多目标粒子群算法与积分电量考核的虚拟电厂参与一次调频的优化调度策略。为了有效评估一次调频的稳定性与经济性，提出了基于积分电量考核方法的虚拟电厂参与一次调频经济效益评估模型，对不满足性能指标的电量进行惩罚。设置电网频率偏移量最低和虚拟电厂整体经济性最优的多目标函数，使用改进多目标粒子群优化算法对虚拟电厂中风、光、储、碱性电解槽的运行状态及调频修正功率进行优化，进一步降低频率偏差并提高系统的经济收益。通过仿真结果分析了含风光氢的虚拟电厂的调频结果及其各组成部分的出力情况，验证了所提调度策略的可行性和有效性。
As a new energy system that integrates multiple energy sources, virtual power plants(VPPs) play an increasingly important role in participating in primary frequency regulation of the power grid. In response, this paper proposes an optimal scheduling strategy for the VPP using the improved multi-objective particle swarm optimization(MOPSO) and an integral power assessment method for primary frequency regulation. To effectively evaluate the stability and economy of primary frequency regulation, an economic benefit assessment model is introduced for the VPP, using the integral power assessment method, to penalize power that fails to meet performance criteria. The multi-objective function with minimum grid frequency deviation and maximum overall economic efficiency of the VPP is set. The improved MOPSO is employed to optimize the operational states and frequency correction power of wind energy, solar energy, energy storage, and alkaline water electrolysis(AWE) within the VPP, further reducing frequency deviations and enhancing economic returns. Simulation results analyze the frequency regulation outcomes of the VPP containing wind energy, solar energy, energy storage, and hydrogen energy, as well as output performance of each component, validating the feasibility and effectiveness of the proposed scheduling strategy.

关键词(KeyWords)： 虚拟电厂;一次调频;积分电量考核;多目标优化
VPP;primary frequency regulation;integral power assessment;multi-objective optimization

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划（2020YFB1506600,2020YFB1506604）

作者(Author): 黄灿兵,熊妮,吴伟,刘诗剑,张巧,杨锡运
HUANG Canbing,XIONG Ni,WU Wei,LIU Shijian,ZHANG Qiao,YANG Xiyun

DOI: 10.19585/j.zjdl.202502004

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