Robust Optimization Method for Obtaining Optimal Scheduling of Active Distribution Systems Considering Uncertain Power Market Price
Active network management (ANM) is responsible for real-time controlling of active distribution systems based on real-time measurements of the network parameters. The power systems problems with uncertainty parameters have been investigated using different uncertainty handling models. This chapter aims to study the effect of uncertain power market price on optimal scheduling of distribution systems. The robust optimization (RO) method is applied to deal with the uncertainty associated with power market price. The proposed robust optimal scheduling of active distribution systems is studied based on a multi-objective scheme to obtain maximum benefit of distribution company (DisCo) and maximum benefit of distributed generation owner (DGO). Accordingly, the obtained optimal solution by RO method for the scheduling of distribution network prevents the DisCo and DGO from being exposed to low benefit taking undesired deviation of market power prices into account. ε-constraint is implemented on the problem to deal with the multi-objectives, and the best compromise solution is selected using a fuzzy satisfying method. The proposed model has been implemented on a test system to evaluate the performance and verify the practicality of the model.
KeywordsActive distribution network Optimal scheduling Uncertain power market price Robust optimization method Benefit maximization
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