학술논문

Research on Distribution Grid Risk Assessment and optimization for High Proportion Distributed Energy Access
Document Type
Conference
Source
2023 International Conference on Cyber-Physical Social Intelligence (ICCSI) Cyber-Physical Social Intelligence (ICCSI), 2023 International Conference on. :604-609 Oct, 2023
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Uncertainty
Fluctuations
Voltage fluctuations
Optimization methods
Power system stability
Stability analysis
Social intelligence
distributed energy
risk assessment
energy storage configuration
peak-load shifting
Language
Abstract
With the wide access of a variety of distributed energy sources in China’s low-carbon station area, it is inevitable to have a negative impact on the grid loss, power quality and other aspects of the distribution grid, and the current low carbon station area lacks effective control means for multi-energy applications. Firstly, this paper analyzes the operation characteristics of the distribution grid with multiple power supplies, and establishes a coordinated optimization model of distributed power supply and energy storage based on cluster division, so as to minimize the overall loss of the distribution grid system. Secondly, under the condition that the optimization result is not inferior to the preset value, the fluctuation interval of the uncertainty variable is maximized, so as to avoid the influence of uncertainty on the solution result to the maximum extent. Finally, the risk avoidance optimization model is established, and the multi-objective particle swarm optimization algorithm is used to solve the optimization model. The method described in this paper and the simulation example have reference significance for the optimization of distribution grid with high proportion of distributed energy.