基于WAM智能逆变器的光伏渗透优化研究

J. A. Beuning, H. Salehfar
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引用次数: 0

摘要

光伏(PV)系统价格的持续下降导致住宅和商业阵列装置的持续增长。这些住宅阵列中的许多都位于电表(BTM)后面,可以影响配电系统中的潮流、电压水平以及线路和总线的特性。将光伏系统加入电网可以帮助公用事业公司减少损失,但由于光伏固有的间歇性,它也可能带来新的挑战。在设计调压装置和新型分布式发电源的理想位置时,这些挑战是显而易见的。本研究的目标是在MATLAB中开发一种算法,结合电力研究所(EPRI)的仿真工具OpenDSS,确定配电网络中安装住宅或商业级光伏系统的最佳位置,以减少电力系统的损耗,同时监测母线电压和系统频率,以确保系统的稳定性。在算法中实现了一个广域监控(WAM)智能逆变器,以确定优化的光伏位置,以帮助实现频率和电压稳定。本文采用IEEE 123总线系统作为测试配电网进行分析,但算法不与该网络相结合。用户在OpenDSS系统中实施的任何未来网络都可以使用该算法对光伏安装进行优化。该系统将为配电公司提供一种工具,以支持在各自的网络中设计光伏系统的最佳位置,以最大限度地减少电力系统损耗,并允许分布式发电(DG)的未来增长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PV Penetration Optimization with WAM Smart Inverters through Reduction of Power System Distribution Losses
The continued decrease in pricing of photovoltaic (PV) systems has led to sustained growth in installations of residential and commercial arrays. Many of these residential arrays are behind the meter (BTM) and can influence the power flow, voltage levels and the characteristics of lines and buses in the distribution system. The addition of PV systems into the grid can help reduce losses for utility companies, but due to the inherent intermittent nature of PV it can also pose new challenges. These challenges are apparent when designing the voltage regulating devices and the ideal locations of the new distributed generation sources. The goal of this study is to develop an algorithm in MATLAB coupled with Electric Power Research Institute's (EPRI) simulation tool OpenDSS to determine the optimal locations in the distribution networks for the installation of residential or commercial grade PV systems to reduce power system losses while monitoring the bus voltages and system frequency to ensure stability of the system. A wide-are a-monitoring (WAM) smart inverter is implemented in the algorithm to determine optimized PV locations to aid with frequency and voltage stability. The IEEE 123 bus system is used as the test distribution network for analysis, but the algorithm will not be wed to this network. Any future network implemented by users in the OpenDSS system will be able to be optimized for PV installations with the algorithm. This system will provide distribution utility companies a tool to support designing optimal locations for the PV systems in their respective networks to minimize the power system losses as well as to allow for future growth of distributed generation (DG).
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