...
首页> 外文期刊>IEEE Transactions on Power Systems >Bi-Level Volt-VAR Optimization to Coordinate Smart Inverters With Voltage Control Devices
【24h】

Bi-Level Volt-VAR Optimization to Coordinate Smart Inverters With Voltage Control Devices

机译:双级Volt-VAR优化,以便使用电压控制装置坐标智能逆变器

获取原文
获取原文并翻译 | 示例
           

摘要

Conservation voltage reduction (CVR) usesVolt-VAR optimization (VVO) methods to reduce customer power demand by controlling feeder's voltage control devices. The objective of this paper is to present a VVO approach that controls system's legacy voltage control devices and coordinates their operation with smart inverter control. An optimal power flow (OPF) formulation is proposed by developing linear and nonlinear power flow approximations for a three-phase unbalanced electric power distribution system. A bi-level VVO approach is proposed, where Level 1 optimizes the control of legacy devices and smart inverters using a linear approximate three-phase power flow. In Level 2, the control parameters for smart inverters are adjusted to obtain an optimal and feasible solution by solving the approximate nonlinear OPF model. Level 1 is modeled as a mixed integer linear program (MILP) while Level 2 as a nonlinear program with linear objective and quadratic constraints. The proposed approach is validated using 13-bus and 123-bus three-phase IEEE test feeders and a 329-bus three-phase PNNL taxonomy feeder. The results demonstrate the applicability of the framework in achieving the CVR objective. It is demonstrated that the proposed coordinated control approach help us to reduce the feeder's power demand by reducing the bus voltages; the proposed approach maintains an average feeder voltage of 0.96 p.u. A higher energy saving is reported during the minimum load conditions. The results and approximation steps are thoroughly validated using OpenDSS.
机译:保护电压降低(CVR)使用VOL-VAR优化(VVO)方法,以通过控制馈线的电压控制装置来降低客户电力需求。本文的目的是提供一种VVO方法,该方法控制系统的传统电压控制装置,并使用智能逆变器控制坐标。通过开发三相不平衡电力分配系统的线性和非线性功率流近似来提出最佳功率流(OPF)制剂。提出了双级VVO方法,其中1级优化了使用线性近似三相电流的传统设备和智能逆变器的控制。在2级中,通过求解近似非线性OPF模型来调整智能逆变器的控制参数以获得最佳和可行的解决方案。级别1被建模为混合整数线性程序(MILP),而具有线性目标和二次约束的非线性程序的级别2。使用13公共汽车和123总线三相IEEE测试馈线和329母线三相PNNL分类饲料验证了所提出的方法。结果表明框架在实现CVR目标方面的适用性。据证明,拟议的协调控制方法有助于我们通过减少总线电压来降低进料器的电力需求;所提出的方法保持平均进料电压为0.96 p.u.在最小负载条件下报告了更高节能。使用开放彻底验证结果和近似步骤。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号