Title :
Optimal operation of power systems with power players
Author :
Mengyan Wang ; Higa, S. ; Yona, Atsushi ; Senjyu, Tomonobu
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of the Ryukyus, Okinawa, Japan
Abstract :
Due to the global warming and energy resource shortage, renewable energies such as wind generation (WG), photovoltaic (PV) facility are getting more attention in distribution systems. It is very necessary to use renewable energy with present power equipments cooperatively as it can be easily affected by the different weather conditions. Since the cost of diesel generator (DG) is high when starting up or shutting down, the electric power system should consist of small power system groups and share electric power with each other by interchanging. In this paper, the optimal method is proposed to determine the scheduling of the isolated island power system including WG, PV facility, DG, and battery energy storage system (BESS). The optimization is divided into two parts using genetic algorithm. First, the scheduling problem of DG unit commitment is decided by the revised load with the optimal operation of individual power system. Second, optimization of the electric power system group is performed by using the results of first step. The simulation results show the reduction of operational cost which confirms the feasibility and effectiveness.
Keywords :
battery management systems; cost reduction; diesel-electric generators; distributed power generation; genetic algorithms; global warming; photovoltaic power systems; power apparatus; power generation economics; power generation scheduling; wind power; wind power plants; BESS; DG unit commitment; PV facility; WG; battery energy storage system; diesel generator; distribution system; electric power system; energy resource shortage; genetic algorithm; global warming; isolated island power system scheduling; operational cost reduction; optimal power systems operation; optimization; photovoltaic generation; power equipment; power player; renewable energy resource; wind generation; Batteries; Linear programming; Optimization methods; Power generation; Power system stability; forecast output power data; genetic algorithm; power player; power system groupe;
Conference_Titel :
Renewable Energy Research and Applications (ICRERA), 2012 International Conference on
Conference_Location :
Nagasaki
Print_ISBN :
978-1-4673-2328-4
Electronic_ISBN :
978-1-4673-2329-1
DOI :
10.1109/ICRERA.2012.6477457