基于双层主从博弈的主动配电网协同调度

doi:10.11930/j.issn.1004-9649.202412002

摘要/Abstract

摘要：

为解决电力需求侧资源调动不足的问题，提出一种基于多主体主从博弈和综合需求响应的主动配电网双层博弈协同调度模型。设计多利益主体差异化效益模型，反映多类电力需求响应和碳交易情况。提出下层多主体主从博弈决策模型，领导者是微网运营商，跟随者包括储能运营商、分布式发电运营商和负荷聚合商等，各主体寻求自身目标最优。建立主动配电网双层博弈协同调度模型，并考虑系统不同层级目标特性，应用求解器和麻雀搜索算法求解模型。仿真算例表明，所提方法能够统筹不同层级多类电力需求响应，保障各市场主体经济利益，提升系统整体综合效益。

关键词: 主动配电网, 需求响应, 多主体, 主从博弈

Abstract:

To solve the problem of insufficient power demand side resources mobilization, this paper proposes an active distribution network bilevel game collaborative dispatch model based on-subject master-slave game and comprehensive demand response. A multi-interest subject differential benefit model is designed to reflect the multi-type power demand response and carbon trading situation. order to seek the optimal goal of themselves, the lower multi-subject master-slave game decision model is proposed, the leader is microgrid operators, the followers include energy storage, distributed power generation operators and load aggregators, etc. The active distribution network bilevel game collaborative dispatch model is established, and the different goal characteristics of the system are. The model is solved by application of solver and the Sparrow Search Algorithm. The simulation example shows that the proposed method can coordinate multi-type power demand response of different levels ensure the economic benefits of the main participants, and improve the overall comprehensive benefits of the system.

Key words: active distribution network, demand response, multiple stakeholders, master-slave game

王世谦, 韩丁, 王楠, 白宏坤, 宋大为, 胡彩红. 基于双层主从博弈的主动配电网协同调度[J]. 中国电力, 2025, 58(9): 105-114.

WANG Shiqian, HAN Ding, WANG Nan, BAI Hongkun, SONG Dawei, HU Caihong. Cooperative Scheduling of Active Distribution Network Based on Two Layer Master Slave Game[J]. Electric Power, 2025, 58(9): 105-114.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202412002

https://www.electricpower.com.cn/CN/Y2025/V58/I9/105

图/表 8

图 1 典型ADN系统结构

Fig.1 Typical ADN system architecture

图 2 “运营商-微网-主动配电网”博弈架构

Fig.2 "Operator-MG-ADN" game architecture

图 3 双层主从博弈求解流程

Fig.3 Flowchart of solving two layer master-slave game

图 4 改进的EEE33节点配电网系统

Fig.4 Improved IEEE33-node distribution network system

图 5 能源交易价格曲线

Fig.5 Energy transaction price curve

图 6 需求响应后电负荷优化结果

Fig.6 Power load optimization results after demand response

图 7 场景 5 能源调度优化方案

Fig.7 Scenario 5 energy optimization results

表 1 上海电网需求侧资源调控量价关系案例

Table 1 Case study on the relationship between quantity and price of demand side resource regulation in Shanghai power grid

序号	实际成交量/ 万kW	模拟成交量/ 万kW	模拟成交量误差/%	实际申报价/ (元·(kW·h)^–1)	模拟申报价/ (元·(kW·h)^–1)	模拟申报价误差/%
1	0.66	0.66	0.00	0.24	0.24	0.00
2	1.16	1.12	3.45	0.72	0.69	4.17
3	2.32	2.22	4.31	1.20	1.18	1.67
4	2.52	2.40	4.76	1.56	1.55	0.64
5	12.98	12.88	0.77	1.68	1.69	0.60
6	21.24	21.18	0.28	1.92	1.95	1.56
7	29.38	29.62	0.82	2.16	2.26	4.63
8	36.88	36.88	0.00	2.40	2.40	0.00
出清	30.00	30.00	0.00	2.40	2.40	0.00

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