中国电力 ›› 2025, Vol. 58 ›› Issue (6): 45-55.DOI: 10.11930/j.issn.1004-9649.202406076

• 基于数据驱动的电力系统安全稳定分析与控制 • 上一篇    下一篇

基于合作博弈的需求侧调节响应能力共享模型

张婕1(), 花宇飞2(), 王晨3()   

  1. 1. 国家电投集团能源科学技术研究院,上海 200090
    2. 上海电力股份有限公司技能培训中心,上海 201100
    3. 上海电力股份有限公司,上海 200010
  • 收稿日期:2024-06-20 发布日期:2025-06-30 出版日期:2025-06-28
  • 作者简介:
    张婕(1997),女,通信作者,硕士,从事储能系统研究,E-mail:zhangjieeeze@163.com
    花宇飞(1998),男,硕士,从事电力经济研究,E-mail:hhyf98@outlook.com
    王晨(1998),女,硕士,从事储能后评价研究,E-mail:wangchen04@spic.com.cn

A Demand Side Adjustment Capacity Sharing Model Based on Cooperative Game

ZHANG Jie1(), HUA Yufei2(), WANG Chen3()   

  1. 1. SPIC Energy Science and Technology Research Institute, Shanghai 200090, China
    2. Shanghai Electric Power Co., Ltd. Skills Training Center, Shanghai 201100, China
    3. Shanghai Electric Power Co., Ltd., Shanghai 200010, China
  • Received:2024-06-20 Online:2025-06-30 Published:2025-06-28

摘要:

需求响应背景下,如果允许负荷聚合商之间共享需求侧调节响应能力,由单位调节成本较高者向较低者购买调节服务,则成本较低者能够增加共享服务收入、较高者能够减少需求侧调节成本,实现双赢。因此,提出一种需求侧调节响应能力共享模式。首先,评估负荷聚合商的需求侧调节成本,包括负荷调节成本和储能调节成本。然后,建立不合作状态下的需求响应优化模型,预估响应情况、奖励收入以及闲置调节能力。由于共享的本质是调节成本再分配,因此最后建立基于合作博弈的需求侧调节成本优化模型,求解共享后每个参与方的需求侧调节成本及响应情况,并计算共享服务费用。算例证明,参与共享市场后负荷聚合商总收益均得到提升。

关键词: 需求响应, 能量共享, 合作博弈, 储能, 实时电价

Abstract:

Under the background of demand response (DR) program, if load aggregators (LAs) are allowed to share the demand side adjustment capability, specifically, those with higher unit adjustment cost can purchase the adjustment services from those with lower unit cost, then those with lower costs can increase the revenue from sharing services, and those with higher costs can reduce the adjustment costs, thus achieving a win-win situation. Therefore, a demand side adjustment capability sharing mode is proposed. Firstly, the demand side adjustment cost of all LAs are evaluated, including the load adjustment cost and the energy storage system (ESS) adjustment cost. Then, a non-cooperative DR optimization model is established to estimate the optimal response, DR reward revenue and potential adjustment capability. Since the essence of sharing is to redistribute the adjustment cost, a demand side adjustment cost optimization model based on cooperative game is established to solve the demand side adjustment costs and responses of each LA after sharing, and calculate the settlement costs among LAs. The case study shows that the profits of LAs from DR program have been improved after participating in the sharing market.

Key words: demand response, energy sharing, cooperative game, energy storage system, real time price


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