New algorithm for distribution system reconstruction planning based on fuzzy inference and multicriteria decision making

Abstract

This paper presents a new algorithm for distribution system reconstruction planning based on Mamdani type fuzzy inference and BellmanZadeh multi criteria decision making method. The proposed algorithm takes system attributes as inputs (number of customers served by renewed infrastructure, energy losses, power demand and cost of investment) and returns crisp output values which are used as planning criteria. The aim of this paper is to provide a logical decision making framework which can be used to model, evaluate, and rank projects according to required criteria. The proposed model is flexible and can be extended to include additional planning criteria. The proposed method is tested on a realistic distribution system to demonstrate its relevance. It is expected that this paper will make a contribution toward more effective management of power distribution network planning process and that it will be used by planning engineers in practical problems.

Distribution Network Planning Methodology With Ed Mostar Case Study

“…The details of the model are presented in [9]. The additional examples of the actual practical application of advanced algorithms in the field of power system development are given in previous papers [9]- [12].…”

“…The final results are obtained based on the best compromise of the proposed criteria. One possible way to resolve the conflict between criteria is the use of fuzzy multi criteria decision making method, as described in more details in [12]. Given the significant technical, economic, social and regulatory changes affecting the trend and philosophy of the development of the distribution system, it can be concluded with great certainty that this area will continue to attract the attention of both experts and informed audience learned public.…”