Multi-objective optimization approach for SVRs annual optimal operation and optimal placement

Abstract

This paper proposes an application of multi objective optimization method in a smart grid. Recently, smart gird problems has become more diversified and complex which cannot be solved by single objective optimization method. Technical, economical, and placement problems of control devices should also be considered as required. The technical and economical problems are treated as ordinal multi objective optimization problem, in addition, with the operating schedule of control devices. The placement problem can be solved by using concept of combinational optimization. Therefore, this paper provides an optimization method, which simultaneously considers both multi objects and combinational problem. The handling method for combinational problems and two fold diversity in pareto optimal solutions are also provided. Finally, an index is provided from which solution can be selected by system designer and operator. This method enables to calculate annual simulation, which helps to solve optimal placement and scheduling problem throughout annual simulation.