埃及实际配电系统有功、无功补偿器和电压调压器优化配置的成本效益分析

A. Mahmoud, M. Ezzat, A. Abdelaziz, S. Aleem
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引用次数: 3

摘要

提高配电网的性能是电力系统运营商的一个重要目标。许多技术可以实现这种所需的改进,例如网络重新配置或加固,为电网提供有功和无功补偿器,如分布式发电机组(dg),并联电容器组(CBs),或安装电压调节器,如电压调节器(VRs)。为此,本文采用阿基米德优化算法(Archimedes optimization algorithm, AOA),在多目标优化问题框架下,对实际埃及配电系统中的dg、cb和vr进行优化配置。分配问题的成本效益分析包括所使用的dg、cb和vr的投资和运行成本、减少功率损耗和从公用事业公司购买的功率所带来的效益、电压偏离允许限值、电压稳定性和负载容量最小化。本研究考虑了不同的负荷情况——轻度、中度和高峰需求水平。在解决问题时考虑了埃及配电规范的要求和更新后的埃及电能费率。实现的仿真结果验证了所提策略在满足所考虑的线性和非线性约束的情况下,经济有效地解决分配问题的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Cost-Benefit Analysis of Optimal Active and Reactive Power Compensators and Voltage Conditioners Allocation in a Real Egyptian Distribution System
Improving the performance of distribution networks is an important goal for power system operators. Many technologies can make this required improvement, such as network reconfiguration or reinforcement, supplying the grid with active and reactive power compensators such as distributed power generation units (DGs), shunt capacitor banks (CBs), or installation of voltage conditioners such as voltage regulators (VRs). In this regard, a new methodology called Archimedes optimization algorithm (AOA) is employed in this work for the optimal allocation of DGs, CBs, and VRs in a real Egyptian distribution system within a multi-objective optimization problem framework. The cost-benefit analysis of the allocation problem includes the investment and running costs of the DGs, CBs, and VRs used, the benefits resulting from the reduction of power loss and purchased power from the utility, deviation of voltage from the allowable limits, voltage stability, and loading capacity minimization. Different loading scenarios are considered in this study - light, intermediate, and peak levels of demand. The requirements of the Egyptian electricity distribution code and the updated Egyptian electricity energy rate have been considered in solving the problem. The realized simulation results validated the efficiency of the proposed strategy for cost-effectively solving the allocation problem while complying with the considered linear and nonlinear constraints.
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