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Optimal sitting and sizing of distributed generations in distribution networks using Heuristic Algorithm

机译:使用启发式算法的配电网中分布式发电的最优选址和选型

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This paper presents a proposed approach to determine the optimal sitting and sizing of distributed generation (DGs) with multi-system constraints to achieve two objective functions using Heuristic Algorithm (HA). The algorithm is established by carrying out a sensitivity analysis to determine the most candidate buses, which the DGs are established. Then, power flow calculations are performed to define the buses that violate their voltage constraints. A distributed generating unit is located at one of the candidate buses, which have high sensitivity factor, and then; the power flow calculations are repeated. With no voltage constraints violation, the situation is saved as an acceptable solution and the economic situations are evaluated, taking into account the overall voltage deviations of all buses. The best economic operation is achieved by minimizing the objective functions and satisfying all the system constraints. This procedure is repeated for a distributed generating unit placed at different candidate buses including placing two and three DG units. A database is built to define the best solution under various loading conditions. The proposed approach is applied to a real section of the South Delta Electricity Distribution network, as a part of the 11 kV Egyptian networks. The demonstrated results ensure that the proper sitting and sizing of DGs are important to improve the voltage profile, reduce the power flows in critical lines and reduce the system power losses. According to the different loading conditions and voltage status, the required output power from the DG is defined based on a pre-established database. The proposed approach can provide a practical and fast solution for the electricity production problem in Egypt with the best voltage improvements.
机译:本文提出了一种建议的方法,用于确定具有多系统约束的分布式发电(DG)的最佳位置和规模,以使用启发式算法(HA)实现两个目标函数。通过执行敏感性分析来确定将建立DG的最候选总线,从而建立算法。然后,执行潮流计算以定义违反其电压约束的总线。分布式生成单元位于具有高灵敏度因子的候选总线之一处,然后;重复进行潮流计算。在没有违反电压约束的情况下,将情况保存为可接受的解决方案,并考虑所有母线的总体电压偏差来评估经济情况。通过最小化目标函数并满足所有系统约束,可以实现最佳的经济运行。对于放置在不同候选总线上的分布式生成单元(包括放置两个和三个DG单元)重复此过程。建立数据库以定义各种加载条件下的最佳解决方案。拟议的方法被应用于南三角洲配电网的实际部分,作为11 kV埃及电网的一部分。证明的结果确保正确放置和确定DG的大小对于改善电压曲线,减少关键线路中的功率流以及减少系统功率损耗非常重要。根据不同的负载条件和电压状态,基于预先建立的数据库定义DG所需的输出功率。所提出的方法可以为埃及的电力生产问题提供实用且快速的解决方案,并且可以最大程度地改善电压。

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