Optimal Feeder Reconfiguration of Distribution System with Distributed Generation Units using HC-ACO
نویسنده
چکیده
The objective of optimal feeder reconfiguration of radial distribution system problem is to obtain the best set of branches to be opened, one each from each loop, such that the resulting radial distribution system has the desired performance. This paper presents a feeder reconfiguration problem in the presence of distributed generators to minimize the system power loss while satisfying operating constraints using Hyper Cube-Ant Colony Optimization (HC-ACO) algorithm. Loss Sensitivity analysis is used to identify optimal location for installation of DG units. Simulations are conducted on 33 – bus radial distribution system at four different cases to verify the efficacy of the proposed method with other recent published approaches reported in the literature. The result shows that the method proposed is fast and effective. Keyword: Distribution system, radial distribution system, Distribution feeder reconfiguration, Distributed generator, Ant Colony Optimization (ACO) algorithm, Real power loss. Nomenclature Pi Real power flowing out of bus i Qi Reactive power flowing out of bus i P j Real power flowing out of bus j Q j Reactive power flowing out of bus j Li P Real power load connected at bus i Q Li Reactive power load connected at bus i PLj Real power load connected at bus j Q Lj Reactive power load connected at bus j i j R Resistance of line section between i and j i j X Reactance of line section between i and j , Lj eff P Effective real power load connected at bus j , Lj eff Q Effective reactive power load connected at bus j I ij Current in line section between buses i and j I ij max Maximum current in line section between buses i and j , i nom V Nominal voltage of bus i V i Voltage of buse i V j Voltage of buse j V i min Minimum value of bus voltage magnitude Received: December 12, 2013. Accepted: February 24, 2014
منابع مشابه
Novel Hybrid Fuzzy-Intelligent Water Drops Approach for Optimal Feeder Multi Objective Reconfiguration by Considering Multiple-Distributed Generation
This paper presents a new hybrid method for optimal multi-objective reconfiguration in a distribution feeder in addition to determining the optimal size and location of multiple-Distributed Generation (DG). The purposes of this research are mitigation of losses, improving the voltage profile and equalizing the feeder load balancing in distribution systems. To reduce the search space, the improv...
متن کاملOptimal reconfiguration of radial distribution system with the aim of reducing losses and improving voltage profiles using the improved lightning search algorithm
In this paper, a modified version of the lightning search algorithm is proposed in order to find the optimal reconfiguration of the switches and locate and determine the optimal capacity of distributed generation sources in the distribution feeder. The main optimization goals are to reduce ohmic losses and voltage deviations in the standard 33-bus and 94-node IEEE feeders. The simulation result...
متن کاملStochastic Joint Optimal Distributed Generation Scheduling and Distribution Feeder Reconfiguration of Microgrids Considering Uncertainties Modeled by Copula-Based Method
Using distributed generations (DGs) with optimal scheduling and optimal distribution feeder reconfiguration (DFR) are two aspects that can improve efficiency as well as technical and economic features of microgrids (MGs). This work presents a stochastic copula scenario-based framework to jointly carry out optimal scheduling of DGs and DFR. This framework takes into account non-dispatchable and ...
متن کاملOptimal Distributed Generation (DG) Allocation in Distribution Networks using an Improved Ant Colony Optimization (ACO) Algorithm
Abstract: The development of distributed generation (DGs) units in recent years have created challenges in the operation of power grids, especially distribution networks. One of these issues is the optimal allocation (location and capacity) of these units in distribution networks. In this thesis, a method based on the improved ant colony optimization algorithm is presented to solve the problem ...
متن کاملPresenting an evolutionary improved algorithm for the multi-objective problem of distribution network reconfiguration in the presence of distributed generation sources and capacitor units with regard to load uncertainty.
Reconfiguration of distribution network feeders is one of the well-known and effective strategies in the distribution network to obtain a new optimal configuration for the distribution feeders by managing the status of switches in the distribution network. This study formulates the multi-objective problem of reconfiguration of a distribution network in the optimal presence of distributed genera...
متن کامل