高光伏渗透率配电网的电压与功率优化

Kamel Alboaouh, S. Mohagheghi
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引用次数: 7

摘要

太阳能在配电网中的利用率正在上升,特别是以屋顶光伏板的形式。使用智能逆变器,现在可以允许pv向电网注入有功和无功功率。然而,pv的高渗透率可能会带来操作上的挑战,因为它可能会导致电压上升到允许的范围之外,并可能导致系统组件承受额外的压力。此外,如果不协调,局部注入无功功率可能会干扰公用事业公司控制节点电压的努力。因此,配电系统中各种电气设备之间的适当协调是必要的,以便为最大化光伏渗透铺平道路,同时最小化整个系统的损失。本文提出了一种进化算法,用于集中求解配电系统中可控部件的最优配置。考虑的控制变量是PV有功和无功功率,通过需求响应的负载削减,电压调节器(VRs)的分接位置和开关电容器(SC)的状态。所提出的方法的主要目标是尽量减少系统损耗,vr和sc的运行变化,以及光伏有功功率的削减。本文特别研究了两个方面:光伏无功支持对电网的影响,以及光伏高集成度对开关设备(sc和vr)的影响。为了评估所提出的最优调度,在一天的时间内进行了概念验证仿真。
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Voltage and Power Optimization in a Distribution Network with High PV Penetration
Utilization of solar energy in distribution networks is on the rise, especially in the form of rooftop photovoltaic (PV) panels. Using smart inverters, it is now possible to allow PVs to inject both active and reactive power into the grid. However, high penetration of PVs can introduce operational challenges as it may cause voltage rise beyond the permissible limits and may lead to additional stress on system components. Also, if uncoordinated, injecting reactive power locally could interfere with the utility's efforts in controlling node voltages. Hence, a proper coordination among various electrical devices in the distribution system is necessary in order to pave the way for maximizing PV penetration and to minimize, concurrently, the overall system losses. In this paper an evolutionary algorithm (EA) is used in order to find the optimal settings of the controllable components in a distribution system in a centralized fashion. The control variables considered are PV active and reactive powers, load curtailment through demand response, tap positions of the voltage regulators (VRs), and status of switching capacitors (SC). The main objective of the proposed approach is to minimize system losses, operational variations of VRs and SCs, as well as curtailment in the PV active power. Two aspects are in particular investigated in this paper: the impact of PV reactive power support on the grid, and the effect of high PV integration on switching devices (SCs and VRs). The proof-of-concept simulation is conducted over a one-day period in order to assess the proposed optimal scheduling.
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