含多分布式能源聚合商的本地电力市场最优能源交易策略

doi:10.11930/j.issn.1004-9649.202307063

摘要/Abstract

摘要：

分布式能源虽广泛存在，但单体容量小，导致其无法直接参与市场的能源交易。为此，提出了一种含多分布式能源聚合商的本地电力市场最优能源交易策略。首先，零散的分布式能源以多个聚合商的形式参与本地电力市场的能源交易，配电系统运营商作为系统所有者参与本地电力市场和上级电力批发市场的能源交易；其次，建立一个含多分布式能源聚合商的本地电力市场最优能源交易双层模型；最后，利用Karush-Kuhn-Tucker（KKT）条件、强对偶理论以及大M法等将该模型转换为单层模型进行求解。算例仿真结果表明，所提模型可以有效促进分布式能源参与电力市场能源交易，并提高系统运行经济性。

关键词: 分布式能源聚合商, 配电系统运营商, KKT条件, 强对偶理论, 本地电力市场

Abstract:

Distributed energy resources are small-scale and widely-distributed, which make them unable to directly participate in the energy trading. Therefore, it is proposed by an optimal energy trading strategy for local electricity market with multiple distributed energy resource (DER) aggregators. Firstly, scattered DERs are formulated as aggregators to participate in the energy trading of the local electricity market, and distribution system operators participate act as system owners to participate the energy trading of the local electricity market and the wholesale market of the upper grid. Secondly, a two-tier model of optimal energy trading in local electricity market with multiple DER aggregators is established. Finally, the Karush-Kuhn-Tucker (KKT) condition, the strong duality theory and the big-M method are adopted to transform the proposed model into a single layer model. The simulation results show that the proposed model can effectively promote DER to participate in energy trading and improve the operation efficiency of the overall power system.

Key words: distributed energy resource aggregators, distribution system operators, KKT condition, strong duality theory, local electricity market

曾垂辉, 李文正, 李宝伟, 谢俊. 含多分布式能源聚合商的本地电力市场最优能源交易策略[J]. 中国电力, 2023, 56(11): 236-245.

Chuihui ZENG, Wenzheng LI, Baowei LI, Jun XIE. Optimal Energy Trading Strategies for Local Electricity Markets with Multiple Distributed Energy Resource Aggregators[J]. Electric Power, 2023, 56(11): 236-245.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202307063

https://www.electricpower.com.cn/CN/Y2023/V56/I11/236

图/表 10

图 1 所提模型框架

Fig.1 The proposed model framework

图 2 改进型IEEE-33母线测试系统

Fig.2 Improved IEEE-33 bus test system

图 3 系统24 h的负荷情况

Fig.3 Load profile of the system

图 4 每条母线上的峰值需求

Fig.4 Peak demand on each bus

图 5 DSO参与市场交易时的能源交互功率

Fig.5 The energy interaction power of the DSO participating in the market transaction

图 6 电力市场能源交易价格

Fig.6 Electricity market energy trading prices

图 7 DSO内DER的功率输出

Fig.7 Power output of DER in DSO

图 8 DERA1参与LEM交易时各DER出力

Fig.8 Each DER contributes when DERA1 participates in LEM transactions

图 9 DERA2参与LEM交易时各DER出力

Fig.9 Each DER contributes when DERA2 participates in LEM transactions

表 1 不同算例优化结果对比

Table 1 Comparison of optimization results of different cases

算例		优化结果/元
算例		DSO	DERA1	DERA2
算例1	方案1	3165.85	685.35	1185.35
	方案2	1524.65	2052.30	1526.33
	方案3	951.35	1327.64	748.45
算例2(LEM)		2935.81	1352.43	885.93

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