Asynchronous Coordinated Control Method for Regional Multi-Agent Integrated Energy Systems Considering Voltage Deviation

doi:10.16183/j.cnki.jsjtu.2023.369

Abstract

Abstract:

In order to address the power demand and voltage control challenges of a multi-energy network of electricity, heat, and gas coupled within an integrated energy system is an urban park, a distributed coordination methodology that incorporates voltage deviation control is proposed. First, operation models for local equipment and power flow coupling optimization in the electricity-gas-heat network are established. Then, a multi-objective day-ahead dispatch model and a local dispatch model for each agent are proposed, aiming to minimize both the overall operating cost and the mean voltage deviation. To achieve this, an asynchronous coordination approach based on preference prior expressions and the alternating direction method of multipliers (ADMM) is employed to enable distributed scheduling. The integrated energy system composed of a 14-node power grid, a 14-node heating network, and a 15-node gas network is taken as a simulation example, and the accuracy and practicability of the multi-objective programming method proposed are verified by comparing it with the existing multi-objective solutions and analyzing the Pareto front coordinates. Additionly, under the same calculation load distribution, the computational efficiency of the asynchronous coordination method is 16.6% higher than that of the synchronous method, which verifies the effectiveness of the proposed algorithm.

Key words: multi-agent integrated energy system (MAIES), voltage deviation control, asynchronous coordination optimization, alternating direction method of multipliers (ADMM)

CLC Number:

TM743

LU Bin, WANG Yixiao, PU Chuanqing, CHEN Yunhui, CHEN Bobo, FAN Feilong. Asynchronous Coordinated Control Method for Regional Multi-Agent Integrated Energy Systems Considering Voltage Deviation[J]. Journal of Shanghai Jiao Tong University, 2025, 59(6): 758-767.

Figures/Tables 6

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方法	设备运行成本/元		能源购置成本/元		各主体总成本/元		全系统总成本/元	集中优化计算时间/s	电压偏差
方法	电力网络	燃气网络	电力网络	燃气网络	电力网络	燃气网络	全系统总成本/元	集中优化计算时间/s	电压偏差
本文	1293.54	208.60	48734.86	29444.00	50028.40	29652.60	79681.00	47.46	0.090
单目标调度	1293.67	208.59	48733.62	29443.48	50027.29	29652.07	79679.36	6.39	1.000
NBI多目标调度(“膝点”解)	1179.87	219.26	47960.69	30320.26	49140.56	30539.62	79680.08	6012.21	0.087