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Optimal allocation of shunt Var compensators in power systems using a novel global harmony search algorithm

机译:使用新型全局和声搜索算法的电力系统中并联无功补偿器的最优分配

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In this paper, a novel global harmony search algorithm (NGHS) is used to determine the optimal location and size of shunt reactive power compensators such as shunt capacitors, static Var compensators (SVCs), and static synchronous compensators (STATCOMs) in a transmission network. The problem is decomposed into two subproblems. The first deals with the optimal placement of shunt Var compensation devices using the modal analysis method. The second subproblem is the optimization of the load flow using the NGHS algorithm. A multi-criterion objective function is defined to enhance the voltage stability, improve the voltage profile, and minimize power loss while minimizing the total cost. The results from a 57-bus test system show that the NGHS algorithm causes lower power loss and has better voltage profile and greater voltage stability than the improved harmony search algorithm (IHS) and particle swarm optimization (PSO) techniques in solving the placement and sizing problem of shunt Var compensators. Finally, a comparison of the convergence characteristics of three optimization methods demonstrates the greater accuracy and higher speed of the proposed NGHS algorithm in finding better solutions compared with PSO and IHS.
机译:在本文中,一种新颖的全局和声搜索算法(NGHS)用于确定传输网络中并联无功功率补偿器的最佳位置和大小,例如并联电容器,静态无功补偿器(SVC)和静态同步补偿器(STATCOM)。 。该问题被分解为两个子问题。第一种方法是使用模态分析方法来处理并联无功补偿装置的最佳位置。第二个子问题是使用NGHS算法优化潮流。定义了多准则目标函数,以提高电压稳定性,改善电压曲线并在最大程度降低总成本的同时将功率损耗降至最低。来自57总线测试系统的结果表明,与改进的和声搜索算法(IHS)和粒子群优化(PSO)技术相比,NGHS算法在解决布局和尺寸调整方面所产生的功耗更低,并且具有更好的电压分布和更高的电压稳定性。并联无功补偿器的问题。最后,对三种优化方法的收敛特性进行比较,结果表明,与PSO和IHS相比,所提出的NGHS算法在寻找更好的解决方案方面具有更高的准确性和速度。

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