Open AccessResearch on optimal Dispatching Strategy of micro-grid based on Particle Swarm optimization algorithm
Author(s) -
Ning Wang,
Hongtao Li,
Qianmao Zhang,
Litao Shi,
Xin Geng
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/647/1/012046
Subject(s) - particle swarm optimization , multi swarm optimization , grid , computer science , renewable energy , mathematical optimization , scheduling (production processes) , wind power , engineering , algorithm , mathematics , electrical engineering , geometry
Optimizing micro-grid dispatch is one of the important ways to improve the efficiency of renewable energy utilization. In this paper, a micro-grid system, including photoelectric, wind power, diesel engine, and the battery is optimized based on the Particle Swarm Optimization algorithm. Constrained by operation condition, a multi-objective optimization scheduling model including fuel cost, operation cost, and pollution gas emission cost is established, and multi-objective Particle Swarm Optimization (MOPSO) is used to solve the optimization scheduling problem of micro-grid. The simulation results show that the model can promote the optimization of micro-grid dispatch.