Optimal Siting and Sizing of Distributed Generators Based on Multi-objective Double-layer Planning
Aiming at the optimization problem of grid-connected location and capacity of high-proportion distributed generators,we proposed a multi-objective two-layer optimization model to solve the problem of multi-DGs location selec-tion and capacity.In this model,the upper model selects the grid-connected location by combining loss sensitivity and voltage stability index,and the lower model obtains the grid-connected location with active power loss,voltage offset in-dex,and voltage stability index as the optimization objective functions to adjust the DGs capacity.Secondly,since the lower model contains a non-convex DistFlow power flow equation,the lower model is transformed into a mixed integer second-order conic programming model by the second-order conic-convex relaxation technique,and the multi-weight method is applied to transform the multi-objective optimisation model into a single-objective optimization model that is easy to handle.Finally,it is tested in the PG&E69 node system and the results show that DGs accessing specific ca-pacities at optimal locations can significantly reduce active power losses in the distribution network,improve voltage distribution,and enhance grid voltage stability.Compared with the optimization algorithms in the existing literature,the validity of the proposed model is verified.In addition,the optimal number and penetration level of DGs accessed in the test system are also analyzed.
distribution networkdistributed generatorsmulti-objective optimizationsiting and sizingmixed integer second-order cone programming
万方数据
维普
