Optimization method of distribution network energy storage and capacity planning considering uncertainty of new energy sources. Issue 1 (1st November 2022)

• Record Type: Journal Article
• Authors: Zhou, Junyu; Luo, Guoming; Chen, Zhangguo
• Is Part Of: Journal of physics. Volume 2360: Issue 1(2022)
• Publication Date: 2022-11-01
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2360/1/012011
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract : The large-scale connection of the renewable energy with random and fluctuating output of the grid has a serious impact on the safe and stable operation of the grid. Considering the high cost of energy storage and the fluctuation of load, in this study, an optimization approach for designing the distribution network's energy storage capacity is presented. This paper analyzes the uncertainty of new energy, and constructs a single distribution network energy storage station model based on the analysis results. In this paper, the typical daily total network loss is taken as the objective function for site selection and capacity planning. In this paper, particle swarm optimization algorithm is used to optimize the energy storage and capacity planning of distribution network. The experimental results show that this method can reduce the operating cost of distribution network and restrain the system load fluctuation. This method optimizes the economy and reliability of distribution network system.