Two-stage Optimization on Fault Recovery of Distribution Network Considering Uncertainty. [J]. Power capacitor & reactive power compensation, 2020, 41(5): 150-157.
Two-stage Optimization on Fault Recovery of Distribution Network Considering Uncertainty. [J]. Power capacitor & reactive power compensation, 2020, 41(5): 150-157. DOI: 10.14044/j.1674-1757.pcrpc.2020.05.025.
计及不确定性的配电网故障恢复两阶段优化
摘要
有效的恢复策略能大幅度减少配电网故障后的失负荷损失
并提高供电可靠性。本文建立了配电网恢复控制的两阶段优化模型
以获得最大的经济效益。考虑到DG输出和负荷需求的不确定性
本文基于场景生成还原法改进优化模型
提高恢复策略的鲁棒性
并建立了负荷和DG波动幅度与故障恢复经济损失之间多元变量的函数关系。本文建立44节点测试系统
通过Matlab仿真以验证本文所提方法的有效性。
Abstract
Effective recovery strategy can reduce largely load-loss after the fault of power distribution network and improve the power supply reliability.In this paper
a two-stage optimization model of recovery control of the power distribution network is set up to obtain maximum economic benefit.Considering uncertainty of DG output and load requirement
the model is improved and optimized on the base of scenario generation and reduction method so to improve the robustness of the recovery strategy and
moreover
the function relationship of multiple variables between load and DG fluctuation magnitude and fault recovery economic loss.The 44-node test system is set up and the effectiveness of the proposed method is verified by the Matlab simulation.
关键词
配电网故障恢复MILPNLP置信理论不确定性
Keywords
fault recovery of distribution networkMILPNLPconfidence theoryuncertainty