Optimal economic operation strategy of wind turbine-diesel unit with pumped hydro energy storage

Sengthavy Phommixay, M. Doumbia, D. St-Pierre
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引用次数: 3

Abstract

This paper presents an optimal power sharing for a hybrid energy system (HES), which is composed of a wind turbine (WT), a pump-hydro turbine, and a diesel unit (DU). The water storage reservoir is indispensable to ensure the reliability and to improve the system's overall efficiency. The aim of this study is to find the lowest operating cost of generation sources by taking into account the startup/shutdown cost, the maintenance cost, and the fuel cost. As wind and water are the sources of free energy, the maximum use of available energy from WT and hydro turbine (HT) is necessary. The DU is decided to be ON/OFF based on binary particle swarm optimization (BPSO) to minimize the fuel consumption and to improve the energy reliability. In order to compare the cost-effectiveness, the simulation stage has been conducted for three scenarios of DU operation during 24h. In the first scenario, the DU is continuously operated at its maximum efficiency point, without using an optimization technique, if the power produced by a WT and HT is unmet the load demand. The second scenario deals with employing the DU with its optimal power determined by particle swarm optimization (PSO). The third scenario demonstrates how the DU is controlled to be ON/OFF using BPSO, by considering technical and economic constraints. The simulation results clearly indicate the appropriateness of the proposed method for achieving the best operation of the DU.
抽水蓄能型风力发电机组经济优化运行策略
本文研究了由风力发电机组、水泵水轮机和柴油发电机组组成的混合能源系统的最优功率分配问题。为了保证系统的可靠性,提高系统的整体效率,储水水库是必不可少的。本研究的目的是通过考虑启动/关闭成本、维护成本和燃料成本,找到发电源的最低运行成本。由于风和水是自由能源,最大限度地利用WT和水轮机(HT)的可用能量是必要的。基于二元粒子群优化算法(BPSO)确定了DU的开/关状态,使燃油消耗最小化,提高了能源可靠性。为了比较成本效益,在24h内对DU运行的三种场景进行了模拟阶段。在第一种情况下,如果WT和HT产生的功率不能满足负载需求,则DU在其最大效率点连续运行,而不使用优化技术。第二种方案是采用由粒子群优化(PSO)确定最优功率的DU。第三个场景通过考虑技术和经济限制,演示了如何使用BPSO将DU控制为ON/OFF。仿真结果清楚地表明所提出的方法对于实现DU的最佳运行是合适的。
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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