Amin Amiri - Department of Engineering, Allame Moheddes Nouri University, Nour, Iran
Amir Kanjanzadeh - Department of Engineering, Allame Moheddes Nouri University, Nour, Iran

In this paper, distribution network reconfiguration problem has been modeled and then solved. This problem is related to power system operation studies from the time point of view. Network losses, voltage profile, risk of lines loading, and system reliability are indices that have been considered in operation phase. The network losses has been calculated by power flow tools. Also, uncertainties in demand and topology of radial distribution network have been included in the problem formulation. In present paper, uncertainty in demand has been modeled using fuzzy formulation of the load level and fuzzy power flow by triangular numbers. The proposed framework has been modeled as a multi-objective problem and solved using runner and root algorithm (RRA). Technical limitations beside assumption of radial network considerably reduce the search space of the algorithm. This online problem has to be solved in a short time using intelligent methods like RRA, because mathematical optimization approaches are so time consuming and are not appropriate to solve such online problems. The proposed model has been tested on IEEE 33-bus distribution system. The simulation results show the effectiveness and robustness of the proposed solution method, because it takes a few seconds to solve the problem.

Reliability assessment, runner and root algorithm, network reconfiguration, distribution systems, maneuver feeders, automatic switches