Optimal operation of power systems with power players

Mengyan Wang, S. Higa, A. Yona, T. Senjyu
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引用次数: 6

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.
带电源播放器的电力系统的优化运行
由于全球气候变暖和能源资源短缺,可再生能源如风力发电、光伏发电等在配电系统中越来越受到重视。可再生能源易受不同天气条件的影响,因此与现有电力设备协同使用是十分必要的。由于柴油发电机(DG)在启动或关闭时的成本较高,因此电力系统应由小的电力系统组组成,并通过交换的方式共享电力。本文提出了包括WG、光伏设施、DG和电池储能系统(BESS)在内的孤岛电力系统调度的最优确定方法。采用遗传算法将优化分为两部分。首先,根据各电力系统最优运行的修正负荷来确定DG机组投入调度问题。其次,利用第一步的结果对电力系统群进行优化。仿真结果表明,该方法降低了运行成本,验证了该方法的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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