Active and Reactive Power Optimal Dispatch Associated with Load and DG Uncertainties in Active Distribution Network

2017 2nd Asia Conference on Power and Electrical Engineering

能源学;电工学

Gao, F.^1 ; Song, X.H.^1 ; Zhang, Y.^1 ; Li, J.F.^1 ; Zhao, S.S.^1 ; Ma, W.Q.^2 ; Jia, Z.Y.^2

China Electric Power Research Institute Beijing, China^1

State Grid Yangquan Power Supply Company, China^2

关键词: Active and Reactive Power;    Active distribution networks;    Chance-constrained programming;    Effect of operations;    Point estimate method;    Probabilistic constraints;    Reactive power ancillary services;    Variable-dimension;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/199/1/012004/pdf
DOI  :  10.1088/1757-899X/199/1/012004

来源: IOP

【 摘 要 】

In order to reduce the adverse effects of uncertainty on optimal dispatch in active distribution network, an optimal dispatch model based on chance-constrained programming is proposed in this paper. In this model, the active and reactive power of DG can be dispatched at the aim of reducing the operating cost. The effect of operation strategy on the cost can be reflected in the objective which contains the cost of network loss, DG curtailment, DG reactive power ancillary service, and power quality compensation. At the same time, the probabilistic constraints can reflect the operation risk degree. Then the optimal dispatch model is simplified as a series of single stage model which can avoid large variable dimension and improve the convergence speed. And the single stage model is solved using a combination of particle swarm optimization (PSO) and point estimate method (PEM). Finally, the proposed optimal dispatch model and method is verified by the IEEE33 test system.