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.

Use of renewable energy sources for the purposes of electricity generation is increasing throughout the world. Connection of new generators, however, introduces significant challenges to power network operators and managers. The power system transient stability is affected by the grid connection of new generation units. The objective of this paper is to investigate asynchronous generator dynamic response issues and capabilities under three phase symmetrical fault conditions and to propose a methodological approach to designing a generator transient stability solutions. Analysis and methodology are introduced through a realistic generator connection example. Simulations show that power system stability can be significantly affected by the connection of new generators and that this phenomena needs to be carefully considered during the connection planning process. This paper is a part of an ongoing research on the distributed generation impact on power network and its aim is to provide two main contributions to the existing body of knowledge. Firstly, it is expected that this paper will contribute toward a better understanding of the influence that generators have on the power system transient stability. Secondly, this paper is expected to contribute towards the practical understanding of fundamental power system transient stability improvement solutions.