论文标题
电压控制系统中具有电压控制的PV智能逆变器的最佳放置
Optimal Placement of PV Smart Inverters with Volt-VAr Control in Electric Distribution Systems
论文作者
论文摘要
典型分配系统的高R/X比使系统电压容易受到分布式能源(DERS)的主动功率注入的影响。此外,Der代的间歇性和不确定的性质为电压控制带来了新的挑战。本文提出了一种两阶段的随机优化策略,以最佳地将PV智能逆变器置于具有高光伏(PV)渗透的分配系统以减轻电压违规问题的分配系统。提出的优化策略为将现有的PV逆变器升级到具有VAR功能的智能逆变器的计划指南,同时考虑了VAR-VAR控制的操作阶段特性。该计划策略的一个优点是,它利用不需要通信的智能逆变器的本地控制能力,从而避免了与沟通延迟和失败有关的问题。另一个优点是,将VAR控制特性内部集成到优化模型中,作为一组约束,使放置决策更加准确。优化的目的是最大程度地减少升级成本和所需的智能逆变器数量,同时将电压曲线保持在可接受的范围内。已经使用OPENDS进行了对实际12.47kV,长达9公里长的亚利桑那公用事业馈线的案例研究,以验证静态和动态模拟中提出的放置策略的有效性。索引条款
The high R/X ratio of typical distribution systems makes the system voltage vulnerable to the active power injection from distributed energy resources (DERs). Moreover, the intermittent and uncertain nature of the DER generation brings new challenges to the voltage control. This paper proposes a two-stage stochastic optimization strategy to optimally place the PV smart inverters with Volt-VAr capability for distribution systems with high photovoltaic (PV) penetration to mitigate voltage violation issues. The proposed optimization strategy enables a planningstage guide for upgrading the existing PV inverters to smart inverters with Volt-VAr capability while considering the operationstage characteristics of the Volt-VAr control. One advantage of this planning strategy is that it utilizes the local control capability of the smart inverter that requires no communication, thus avoiding issues related to communication delays and failures. Another advantage is that the Volt-VAr control characteristic is internally integrated into the optimization model as a set of constraints, making placement decisions more accurate. The objective of the optimization is to minimize the upgrading cost and the number of the smart inverters required while maintaining the voltage profile within the acceptable range. Case studies on an actual 12.47kV, 9km long Arizona utility feeder have been conducted using OpenDSS to validate the effectiveness of the proposed placement strategy in both static and dynamic simulations. Index Terms