A Bi-Level Particle Swarm Optimization Algorithm for Solving Unit Commitment Problems with Wind-EVs Coordinated Dispatch

International Conference on Sustainable Energy Engineering

能源学;经济学

Song, Lei^1 ; Zhang, Bo^1

School of Electrical Engineering, Shandong University, Jinan

250061, China^1

关键词: Electric Vehicles (EVs);    Particle swarm optimization algorithm;    Peak- valley;    Power System;    Test systems;    Unit commitment problem;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/73/1/012017/pdf
DOI  :  10.1088/1755-1315/73/1/012017

来源: IOP

【 摘 要 】

Nowadays, the grid faces much more challenges caused by wind power and the accessing of electric vehicles (EVs). Based on the potentiality of coordinated dispatch, a model of wind-EVs coordinated dispatch was developed. Then, A bi-level particle swarm optimization algorithm for solving the model was proposed in this paper. The application of this algorithm to 10-unit test system carried out that coordinated dispatch can benefit the power system from the following aspects: (1) Reducing operating costs; (2) Improving the utilization of wind power; (3) Stabilizing the peak-valley difference.