优化太阳能光伏分布式发电分配,提高配电网性能,同时考虑不确定性和高负荷变化下的最优伏-变调节

Mohamed Lokmane Hareche, Ahmed Amine Ladjici
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摘要

本文提出了一种基于光伏发电系统的分布式发电(DG)在径向配电网中的优化布局和规模确定方法,考虑到光伏逆变器通过在共同耦合点(PCC)优化注入和吸收无功功率来调节电压的能力,该方法采用蜜獾算法(HBA),作为一种最新的高效优化算法来解决复杂的优化分配问题。为提高配电系统性能,实现了几个目标函数:最小化功率损耗和电压偏差指数(VDI),以及最大化电压稳定指数(VSI)。根据历史数据和概率模型,建立了季节性每小时太阳辐照度、环境温度和负荷变化曲线模型,同时考虑了轻负荷、正常负荷和重负荷需求。配电系统的重要组成部分已被描述。为研究建议方法的有效性,考虑对 IEEE 33 和 IEEE 69 BUS 径向配电测试系统进行功率流 (PF) 分析,并采用牛顿拉斐森方法解决 PF 问题。不同数值场景的仿真结果表明,与几种有效、稳健的优化算法相比,新提出的方法在解决光伏逆变器最优电压-伏特调节控制的最优分配问题时非常有效。
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Optimal allocation of solar photovoltaic distributed generation for performance enhancement of electrical distribution networks considering optimal volt‐var regulation under uncertainty and high load variation
This article proposes an optimal placement and sizing of photovoltaic (PV) power systems based distributed generation (DG) in radial electrical distribution networks considering the capability of PV inverters to regulate the voltage by optimal injecting and absorbing reactive power at the point of common coupling (PCC) using honey badger algorithm (HBA), as a recent and efficient optimization algorithm to solve the complicated optimal allocation. Several objective functions are achieved for distribution system performance enhancement: minimizing the power loss and the voltage deviation index (VDI) and maximizing the voltage stability index (VSI). Based on historical data and probabilistic models, seasonal hourly solar irradiance, ambient temperature, and load variation curves have been modeled, which simultaneously consider the light, normal, and heavy load demand. The essential components of distribution power systems have been characterized. To investigate the validity of the proposed approach, IEEE 33 and IEEE 69 BUS radial distribution test systems have been considered for power flow (PF) analyses, where Newton's Raphson method has been applied to solve the PF issue. The simulation results of different numerical scenarios have shown the effectiveness and validity of the newly proposed method to solve the optimal allocation problem considering optimal volt‐var regulation control of PV inverters compared to several valid and robust optimization algorithms.
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