基于分布式交易的集群多能系统运行优化

doi:10.19595/j.cnki.1000-6753.tces.L90512

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Abstract Pointing at the new situation of distributed transaction in multi-energy systems, an optimal operation decision model of the multi-energy system is proposed. Under the distributed transaction background, operation strategy optimization of multi-energy system is a collaborative optimization which is an integration of internal multi-resource scheduling plan and external market distributed transaction plan. Based on the operating characteristics and multi-energy flow coupling relationship of various power supplies, energy storage and energy conversion equipment in the multi-energy system analysis, with the goal of minimizing the comprehensive operating cost of the multi-energy system, considering the operating constraints of various types of equipment, this paper establishes an internal resource scheduling optimization model of multi-energy system, and optimizes the decision of the consumption of various energy sources in the multi-energy system and the conversion relationship between the energy sources. On this basis, the alternating direction multiplier method (ADMM) is used to establish an distributed transaction simulating model of interconnected multi-energy system for embedded internal scheduling of multi-energy system. The calculation example shows that the model in this paper can take into account the self-interests of each multi-energy system and the overall benefits of the cluster. The distribution characteristics of transaction pattern of multi-energy system clusters are analyzed by simulation, and the optimal operation strategy of multi-energy system is decided.

Key words： Multi-energy system distributed transaction alternating direction multiplier method operation optimization

Received: 11 July 2020

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TM74

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	Cheng Yu
	Hu Zihao
	Wang Jie

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Cheng Yu,Hu Zihao,Wang Jie. Operation Optimization of Multi-Energy System Based on Distributed Transaction[J]. Transactions of China Electrotechnical Society, 2022, 37(zk1): 116-125.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.L90512 OR https://dgjsxb.ces-transaction.com/EN/Y2022/V37/Izk1/116

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