Multi-time Scale Scheduling Strategy for Power System with Large-scale Intermittent Energy

2019 4th Asia Conference on Power and Electrical Engineering

能源学;电工学

Zheng, J.^1 ; Zhang, Y.Y.^2 ; Guo, A.Q.^3 ; Huang, X.^4

Electrical and Computer Engineering Department, University of Macau, China^1

State Grid Shandong Jinan Power Supply Company, Jinan, China^2

Zhuhai Hengqin Thermoelectric CO., Ltd., Zhuahi, China^3

State Grid Zhejiang Hangzhou Power Supply Company, Hangzhou, China^4

关键词: Automatic generation control systems;    Intermittent energy;    Large-scale;    Multi-time scale;    Particle swarm optimization algorithm;    Power system dispatching;    Scheduling strategies;    Simulation and analysis;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/486/1/012104/pdf
DOI  :  10.1088/1757-899X/486/1/012104

来源: IOP

【 摘 要 】

Large-scale integration of intermittent energy has brought many problems to active power dispatching of the power grid, which will not only increase the operation cost, but also increase the operation risk. This paper developed a multi-time scale scheduling strategy, integrated day-ahead scheduling, intra-day dispatching and automatic generation control (AGC) system, in order to ensure the safe and stable operation of power grid. The strategy aims to minimize the sum of operating costs of power system, and sets six constraints such as power flow constraint, to analyse and optimize the dispatching process of power systems. After simulation and analysis by Particle Swarm Optimization (PSO) algorithm, the results show that the strategy has a significant optimization on the power system with intermittent energy.