Optimization of Distribution Network Configuration with Integration of Distributed Energy Resources Using Extended Fuzzy Multi-Objective Method

Abstract

This paper proposes a reconfiguration methodology that aims for achieving the minimum active power loss of radial distribution networks with integration of distributed energy resources (DER) in order to improve the distribution system performance. The problems of power system operations and planning schemes will be arising due to the presence of DER to the distribution systems, such losses will rise and the increase of the voltage at which there are many DER. One of the popular efforts to improve the performance of the distribution system is network reconfiguration. In this study, reconfiguration method proposed is based on an extended fuzzy multi-objective approach. Multi-objective function are considered for minimization of the active power loss, deviation of bus voltage, and load balancing among the feeders, while subject to a radial network structure in which all loads must be energized. In this case, all objectives may be simultaneously weighted. The implementation of the extended fuzzy multi-objective for reconfiguration of distribution network with integration of DER on IEEE 77-bus distribution network and Yogyakarta 60-bus distribution network are described. The simulation results show that a 1.80% of efficiency improvement is achieved for IEEE 77-bus network, and a 0.11% of Yogyakarta 60-bus network efficiency improvement is achieved by the method.

An artificial immune system algorithm approach for reconfiguring distribution network

“…In [11], they have proposed the clonal selection algorithm named ClonalG for learning and optimization. They discussed the main features of the theory of clonal selection and develop algorithms include the maintenance of a set of specific memory, selection and cloning antibodies are most stimulated, death antibody non-excitatory, maturation affinity and selection of re clones are balanced against affinity antigen, and the generation and maintenance of a set of antibodies.…”

“…Every part of this amount corresponds to the size of clones of each antibody chosen, for example, for N = 100 and β = 1, antibodies highest affinity (i = 1) will produce 100 clones, while the antibody affinity the second highest yield of 50 clones, and thus further [11].…”

Reconfiguration of Distribution Network with Distributed Energy Resources Integration Using PSO Algorithm

“…The feeders are fitted with a number of switches that are normally closed, namely sectionalizing switches, or normally opened, namely tie switches. The objective of the reconfiguration is to minimize active power losses and to improve voltage profile in order to improve distribution system performance [1][2]. In [3], the efforts of reconfiguration of the distribution network have become the first publication.…”

“…The approach is conceptualized using the musical process of harmony searching in perfect state. The use of fuzzy multiobjective technique for optimal network reconfiguration has been presented in [1,2], and [16]. The technique of particle swarm optimization (PSO) for network reconfiguration purpose has been presented in [17][18].…”

“…In this paper, an modified PSO algorithm is presented to solve distribution network reconfiguration problem in the presence of distributed energy resources for reducing power loss and improving voltage profile while radially of the network is maintained. In this study, all objective functions are simultaneously weighted, which is a new issue in a multi-objective optimization [1][2]. The PSO approach is tested in a 60-bus Bantul distribution network of Yogyakarta Special Region province, Indonesia.…”