Optimal Energy Trading Strategies for Local Electricity Markets with Multiple Distributed Energy Resource Aggregators

doi:10.11930/j.issn.1004-9649.202307063

Abstract

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

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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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202307063

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

Figures/Tables 10

Fig.1 The proposed model framework

Fig.2 Improved IEEE-33 bus test system

Fig.3 Load profile of the system

Fig.4 Peak demand on each bus

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

Fig.6 Electricity market energy trading prices

Fig.7 Power output of DER in DSO

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

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

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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