微网系统中可变可再生能源电厂集成的机组承诺优化方案

Ignatius Rendroyoko, N. Sinisuka, Deddy P. Koesrindartoto
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引用次数: 2

摘要

随着技术的发展,可再生能源在岛屿和偏远地区的电力系统中得到了发展,其中包括具有间歇性特征的可再生能源。这些可变的可再生能源发电厂通过整合到现有的电力系统中来运行。随着可变可再生能源发电厂并网数量的迅速增加,以保证电力系统运行的稳定性、弹性和最低运行成本为目标的机组承诺(UC)方案应运而生。为了实现这些目标,有必要开发适用于岛上电力系统UC方案的优化方法。本文讨论了微网电力系统采用机组承诺方案纳入可再生能源发电的最合适优化方法。该方法是一种混合技术,将用于发电机组精确调度的增强优先级列表法与用于最低运行成本的优化搜索的遗传算法(GA)技术相结合。在运行调度中还考虑了每个能力段的发电机组运行能力,并影响了遗传算法技术运行的迭代次数。该方法已在东帝汶电力系统上进行了仿真,该系统是一个增长型电力系统,具有间歇式可再生能源发电厂。在其他位置使用其他变量RES实现可以提供更好的结果。这种方法是对先前研究中开发的混合技术的丰富。这种丰富是通过分割发电机组的能力来进行计算的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing Unit Commitment Schemes for Variable RES Power Plant Integration in Microgrid Systems
With the development of technology, renewable energy sources (RES) have been developed on islands and electricity systems in isolated areas, including RES which have intermittent characteristics. Those variable renewable energy power plants are operated by integration into existing power systems. The rapid increase of variable RES power plants integration into electricity network has given effect on the development of unit commitment (UC) schemes which aimed to ensure the operation of electric power systems stability, resilience, and with minimum operating cost can be maintained. To achieve these goals, it is necessary to develop optimization methods to be applied to the UC scheme for the island's electricity system.This paper discusses the most suitable optimization methods for the inclusion of renewable energy power generation using a unit commitment scheme in the microgrid electricity system. The methods here are a hybrid technique which combines enhanced priority list method for accurate generation unit scheduling and genetic algorithm (GA) technique for an optimum search for the lowest operational cost. The capacity of generating units to operate per capability segment is also taken into account in operating scheduling and affects the number of iterations in the operation of genetic algorithm techniques. This method has been simulated on the Timor electricity system, which is a growing power system and has an intermittent RES power plant. Implementation in other locations with other variable RES could provide better results. This method is an enrichment of hybrid techniques developed in previous studies. This enrichment is carried out on the calculation by segmenting the ability of generating units.
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