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Application of Voltage and Lines Stability Index for Optimal Placement of Wind Energy with a System Load Increase Scenario | Bentham Science

机译:电压和线路稳定性指标在系统负荷增加的情况下风能最佳布置中的应用边沁科学

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Background: Modern power system operations often faced with very unsafe conditionscaused by voltage stability problems. If the problem cannot be controlled with the right method, thena cascade system can occur. This condition can cause a voltage reduction drastically and leads to apower outage.Objective: The Fast Voltage Stability Index (FVSI) and Line Stability Factor (LQP) implemented inthis study. Both indices can determine the optimal location and capacity of Wind Energy (WE) intothe grid to anticipate a sustained increase in load.Method: One type of optimization method, a new variant of Genetic Algorithms, is used to solve themulti-objective optimization problem known as Genetic Algorithm Sorting Non-Domination SortingII (NSGA-II). This algorithm can determine the optimal location and WE's capacity into the grid byminimizing line power loss (Ploss) of power system with a system load increase scenario. Bus voltagesecurity, thermal line limits, and stability system are used as obstacles to maintain the system in asafe condition due to the increasing the maximum load.Results: The method suggested in this paper has been adequately tested on modification of the IEEE14-bus standard test system connected to the WE. The WE integrated into the grid modeled using thePower System Analysis Toolbox (PSAT). Based on the multi-objective manner, the method developedcan determine the best location and capacity of the WE simultaneously by minimizing Ploss withSLI and satisfied all the system's security and stability constraints.Conclusion: The technique provides well-distributed non-dominated solutions and well explorationof the research space.
机译:背景:现代电力系统的运行通常会面临由电压稳定性问题引起的非常不安全的状况。如果无法使用正确的方法控制问题,则可能会发生级联系统。这种情况会导致电压急剧下降,并导致断电。目的:本研究中实现的快速电压稳定指数(FVSI)和线路稳定因数(LQP)。这两个指标都可以确定风能(WE)进入电网的最佳位置和容量,以预测负荷的持续增加。方法:一种优化方法是遗传算法的新变体,用于解决已知的多目标优化问题作为遗传算法排序非支配排序II(NSGA-II)。该算法可以通过在系统负载增加的情况下最小化电力系统的线路功率损耗(Ploss)来确定最佳位置和WE到电网的容量。由于最大负载的增加,总线电压的安全性,热线限制和稳定性系统被用作使系统保持安全状态的障碍。结果:本文提出的方法已通过对IEEE14总线标准测试的修改进行了充分测试系统连接到WE。 WE集成到使用Power System Analysis Toolbox(PSAT)建模的网格中。在多目标的基础上,所开发的方法可以通过使用SLI最小化Ploss来同时确定WE的最佳位置和容量,并满足所有系统的安全性和稳定性约束。结论:该技术提供了分布均匀的非支配解决方案,并进行了很好的探索。研究空间。

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