分布式光伏聚合商参与日前电能量及备用联合市场交易双层 Stackelberg 博弈模型

doi:10.16513/J.2096-2185.DE.26110039

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分布式能源 ›› 0 DOI: 10.16513/J.2096-2185.DE.26110039

分布式光伏聚合商参与日前电能量及备用联合市场交易双层 Stackelberg 博弈模型

孙荣富 1，朱天博 1，于康洋 2*，周悦瑶 2，刘沁哲 1，李宏阳 2，李晓涵 1，郭静蓉 3，王泽森 3，肖云鹏 2

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Bi-level Stackelberg Game Model for Distributed Photovoltaic Aggregators Participating in Day-Ahead Energy and Reserve Joint Market Trading

SUN Rongfu1, ZHU Tianbo1, YU Kangyang2*, ZHOU Yueyao2, LIU Qinzhe1, LI Hongyang2, LI Xiaohan1, GUO Jingrong3, WANG Zesen3, XIAO Yunpeng2#br#

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摘要

随着新型电力系统建设加速，分布式光伏聚合商得以参与日前能量与备用联合市场交易并获取收益。然而，分布式光伏聚合商、市场交易中心及配电系统运营商因利益诉求差异，呈现出复杂的市场交易博弈行为。据此，构建分布式光伏聚合商参与日前电能量及备用联合市场交易的双层 Stackelberg 博弈架构。上层以最大化分布式光伏聚合商（领导者）收益为目标进行竞标策略优化；下层市场交易中心（跟随者 1）进行日前联合市场出清的同时，配电系统运营商（跟随者 2）在考虑变压器分接头、电容器投切的离散控制基础上对联合市场出清结果进行节点电压与馈线段传输安全校核。为求解该单领导者多跟随者博弈模型，首先利用 Karush-Kuhn-Tucker 条件及大 M 法将跟随者 1 问题等价转换，再利用数据驱动双层重构算法对包含连续和离散变量的单主单从博弈模型进行求解。最后，以 Q 市实际输配电系统验证该博弈模型及其求解算法的适用性和有效性。

Abstract

With the acceleration of new power system construction, distributed photovoltaic aggregators are able to participate in the day-ahead energy and reserve joint market trading and obtain profits. However, due to differences in their interests, distributed photovoltaic aggregators, market trading centers, and distribution system operators exhibit complex market trading game behaviors. Accordingly, a single-leader multi-follower mixed-integer Stackelberg game framework is constructed for distributed photovoltaic aggregators participating in the day-ahead electricity market. The upper-level model aims to maximize the profit of the distributed photovoltaic aggregator (leader) by optimizing bidding strategies, while the lower-level model involves the market trading center (follower 1) conducting day-ahead joint market clearing, and the distribution system operator (follower 2) performing security verification on the market clearing results based on discrete control measures such as transformer tap changers and capacitor switching. To solve this multi-agent game model, the Karush-Kuhn-Tucker conditions and the Big-M method are first used to equivalently transform the follower 1 problem. Subsequently, a data-driven bilevel reconstruction algorithm is employed to solve the leader-follower game model with continuous and discrete variables. Finally, the accuracy and effectiveness of the game model and its solution algorithm are validated using a practical transmission and distribution system in a certain region.

关键词

分布式光伏聚合商 / 电力市场 / Stackelberg 博弈 / 离散控制 / 数据驱动双层重构算法

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孙荣富 1, 朱天博 1, 于康洋 2, 周悦瑶 2, 刘沁哲 1, 李宏阳 2, 李晓涵 1, 郭静蓉 3, 王泽森 3, 肖云鹏 2. 分布式光伏聚合商参与日前电能量及备用联合市场交易双层 Stackelberg 博弈模型[J]. 分布式能源, 0 https://doi.org/10.16513/J.2096-2185.DE.26110039.

SUN Rongfu1, ZHU Tianbo1, YU Kangyang2, ZHOU Yueyao2, LIU Qinzhe1, LI Hongyang2, LI Xiaohan1, GUO Jingrong3, WANG Zesen3, XIAO Yunpeng2. Bi-level Stackelberg Game Model for Distributed Photovoltaic Aggregators Participating in Day-Ahead Energy and Reserve Joint Market Trading[J]. Distributed Energy, 0 https://doi.org/10.16513/J.2096-2185.DE.26110039.