Expert System In MicroPower Grid Planning

This work focuses on the potential of expert System(ES) in solving complicated and Contradicting problems in the field of power system planning. Conventional optimization methods are inappropriate in many cases of optimization problem solutions. Artificial Intelligence (AI) albeit rather Convenient for solution of some optimization problems of power systems, however, the need for good starting point helps greatly for achieving proper and fast conversion. Experience of professional engineers is very crucial in reaching the optimal solution. In this paper we introduce ES technique as a helpful tool in Micro Power grid (MPG) planning by suggesting a strong starting point for optimization techniques in both conventional and AI methods. A knowledge base chain rules for two major problems are investigated; distributed generators(DG) and capacitor allocation. Effectiveness of the proposed knowledgebase is tested through the standard IEEE 14-bus system.