一种基于随机电压/无功/压力优化的光伏智能逆变器参与的电-气综合系统节电电压调控技术

This paper proposes a novel two-stage stochastic Conservation Voltage Reduction (CVR) technique in integrated electricity and natural gas systems, where the mixed-integer second-order cone programming (MISOCP) model is used to coordinate legacy voltage regulation devices (on-load tap changers (OLTCs) and capacitor banks (CBs)) with photovoltaics (PV) smart inverters. In the first stage, optimal hourly day-ahead settings of OLTCs and CBs, and the base reactive power settings of smart inverters are determined. After considering uncertainties in the forecasted load and PV power generation, reactive power adjustments from smart inverters through droop control are determined in the second stage. A two-step algorithm is also proposed to improve the solving speed of the stochastic problem. The proposed stochastic CVR technique is validated using the modified IEEE 33-bus electricity and 7-node natural gas test system, IEEE 123-bus electricity and 20-node natural gas test system, and a large unbalanced 404-node distribution system currently operated by Saskatoon Light and Power in Saskatoon, Canada, integrated with a 20-node natural gas network.