Open AccessResearch on Multi-Objective Optimal Dispatch of Microgrid Containing Electric Vehicles Based on Improved NSGA-II Algorithm
Author(s) -
Yang Liu,
Tianyu Li
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/558/5/052044
Subject(s) - microgrid , renewable energy , computer science , energy storage , environmental pollution , electricity , automotive engineering , distributed generation , mathematical optimization , control engineering , engineering , environmental science , power (physics) , electrical engineering , environmental protection , physics , mathematics , quantum mechanics
In this society where resources are increasingly scarce, the microgrid is developing rapidly in anticipation, due to the random energy storage characteristics of electric vehicles, the integration of electric vehicles in the microgrid is of great significance to suppress the volatility of new energy. In this paper, a microgrid model of renewable energy, energy storage equipment, micro-turbine and electric vehicles is established, and the impact of time-sharing electricity prices on system operation is fully considered., With the operating cost of the microgrid system and the cost of environmental pollution control as the goal, use the improved NSGA-II to solve. The effectiveness of the proposed microgrid optimization model is verified through analysis of examples, and compared with the standard genetic algorithm algorithm to solve the model. The results show that the improved algorithm can effectively improve the algorithm’s operation efficiency and optimization ability, and in the microgrid Access to electric vehicles can also reduce environmental pollution and reduce the cost of operating microgrid systems.