Open AccessMulti-objective optimal dispatching of microgrid based on improved genetic algorithm
Author(s) -
H. D. Chen,
Youjun An,
Xuejiao Meng
Publication year - 2019
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 - 10.1088/1755-1315/295/3/032013
Subject(s) - microgrid , computer science , scheduling (production processes) , grid , mathematical optimization , genetic algorithm , electricity , distributed generation , economic dispatch , distributed computing , electric power system , engineering , renewable energy , power (physics) , control (management) , mathematics , physics , geometry , quantum mechanics , artificial intelligence , electrical engineering
Aiming at the optimization problem of micro-grid energy dispatch, the environmental benefit, system operation and maintenance cost, start-stop cost and main grid electricity price are proposed as the objective function, and the influence of the actual operation constraints of micro-grid system and the distributed non-scheduled new energy are taken into account at the same time. The multi-objective optimal dispatching model of microgrid is constructed, and the model is solved based on improved genetic algorithm. The numerical simulation results show that compared with the traditional single-target scheduling method of microgrid, the optimal scheduling method of this paper is beneficial to the micro-grid in the process of scheduling decision-making to achieve the overall coordination of economic, environmental and social benefits of microgrid.