Hierarchical coordinated control method of load and storage in distribution network based on multi-objective weighted grey target decision algorithm

• Published in: Journal of energy storage Vol. 100; p. 113555
• Main Authors: Zhang, Yangrui, Zhu, Yakui, Zhang, Chao, Zhang, Bingyu, Wang, Hongying, Li, Qiang
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 15.10.2024
• Subjects: Decision algorithm; Distribution network; GA-BP network; Hierarchical coordination; Multiple target; Power dispatching; GA-BP network; Multiple target; Distribution network; Hierarchical coordination; Decision algorithm; Power dispatching
• ISSN: 2352-152X
• DOI: 10.1016/j.est.2024.113555

In order to realize real-time power dispatching optimization, promote the sustainable development of renewable energy and improve the power supply capacity of distribution network. A hierarchical coordinated control method of distribution network load and energy storage based on multi-objective weighted grey target decision algorithm is proposed. This method constructs a hierarchical coordinated control architecture of distribution network load and storage, which includes power layer and user layer. In the power layer, by considering the factors such as wind and solar power generation, battery status and generator output, a scheduling model is established to minimize the operating cost and environmental cost of the power station, and the best real-time power scheduling scheme is obtained through the multi-objective weighted grey target decision algorithm. In the user layer, according to the schedulable power limit and the forecast data of cooling and heating load demand, the scheduling strategy is formulated, the real-time scheduling scheme of cooling and heating energy is determined, and the adjusted generator power demand is calculated. The experimental results show that this method can effectively predict the output of wind-solar hybrid power generation, which is basically consistent with the actual results, and can obtain the optimal scheduling result of power supply layer taking into account the operating cost and environmental cost. The application of this method can ensure the uninterrupted power supply of important electric loads to the maximum extent, meet the heat load demand at the same time, and realize the optimal autonomy in the process of energy supply and demand. It is proved that this method can effectively coordinate the source, network and storage resources in the distribution network, improve energy utilization efficiency and reduce environmental pollution. •Scheduling model with minimum operating cost and environmental cost of power station•Multi-objective weighted grey target decision algorithm•Determine the real-time scheduling of cold/hot energy•Guide the gas generator output of the power layer