考虑充电服务和需求响应的光伏-储能-充电系统协调优化调度策略

IF 2.7 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
IET Smart Grid Pub Date : 2025-10-13 DOI:10.1049/stg2.70040
Zhichao Lin, Busheng Luo, Yingmin Wang, Xiangyang Su, Pengyu Zhang, Yuting Huang
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引用次数: 0

摘要

光伏存储充电(PSC)系统除了提供电动汽车(EV)充电服务外,还表现出一定程度的负载灵活性,从而使其能够参与需求响应(DR)市场。本文提出了一种考虑充电服务与DR市场耦合约束的PSC系统最优调度策略。首先,分析了系统资源的内在特征,建立了收费服务和需求响应的数学模型。然后,基于可调用容量的概念构建统一的框架,捕获两种服务类型之间的耦合关系。优化模型以系统总利润最大化为目标,同时结合市场参与规则、基线负荷定义和系统运行限制等约束条件。与不同服务机制相关联的可调用容量被视为控制变量,以实现跨收费服务和需求响应服务的系统最佳调度。最后,通过实际PSC系统的案例研究验证了所提策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Coordinated Optimal Dispatching Strategy for Photovoltaic-Storage-Charging Systems Considering Charging Services and Demand Response

Coordinated Optimal Dispatching Strategy for Photovoltaic-Storage-Charging Systems Considering Charging Services and Demand Response

Photovoltaic-storage-charging (PSC) systems, beyond delivering electric vehicle (EV) charging services, exhibit certain degrees of load flexibility, thereby enabling their participation in demand response (DR) markets. An optimal scheduling strategy for PSC systems that accounts for the coupled constraints between charging services and the DR market has been proposed in this paper. First, the inherent characteristics of system resources have been analysed, and mathematical models for both charging services and demand response have been developed. Then, a unified framework is constructed based on the concept of callable capacity, capturing the coupling relationship between the two service types. An optimisation model is formulated with the objective of maximising total system profit, while incorporating constraints such as market participation rules, baseline load definitions, and system operation limits. The callable capacities associated with different service mechanisms are treated as control variables to enable optimal dispatching of the system across both charging and demand response services. Finally, the effectiveness of the proposed strategy is validated through a case study of a real-world PSC system.

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来源期刊
IET Smart Grid
IET Smart Grid Computer Science-Computer Networks and Communications
CiteScore
6.70
自引率
4.30%
发文量
41
审稿时长
29 weeks
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