Solution of Multi-Objective Optimal DG Placement Problems using Swine Influenza Model Based Optimization (SIMBO)
نویسندگان
چکیده
Distributed Generation (DG) sources are becoming more and more prominent in distribution networks due to the incremental demands for electrical energy. Determination of optimal locations and capacities of Distributed Generation (DG) sources has become one of the major problems of distribution utilities. In this paper Swine Influenza Model Based Optimization with Quarantine (SIMBO-Q) has been applied to determine optimal location and size of DGs in distribution systems to minimize network power losses, achieve better voltage regulation and improve the voltage stability. SIMBO-Q performs the optimization through quarantine and treatment based on probability. SIMBO-Q provides optimization of complex multi-modal functions with improved convergence and accuracy. The proposed algorithm is applied to 33-bus and 69-bus radial distribution systems and results are compared with other evolutionary techniques like Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and combined GA/PSO. Numerical studies represent the effectiveness and out-performance of the proposed algorithm.
منابع مشابه
Quasi-Oppositional Swine Influenza Model Based Optimization with Quarantine for optimal allocation of DG in radial distribution network
Optimal allocation of Distributed Generations (DGs) is one of the major problems of distribution utilities. Optimum locations and sizes of DG sources have profoundly created impact on system losses, voltage profile, and voltage stability of a distribution network. In this paper Quasi-Oppositional Swine Influenza Model Based Optimization with Quarantine (QOSIMBO-Q) has been applied to solve a mu...
متن کاملOptimal Placement and Sizing of Distributed Generation Via an Improved Nondominated Sorting Genetic Algorithm II
The use of distributed generation units in distribution networks has attracted the attention of network managers due to its great benefits. In this research, the location and determination of the capacity of distributed generation (DG) units for different purposes has been studied simultaneously. The multi-objective functions in the optimization model are reducing system line losses; reducing v...
متن کاملMulti-objective Based Optimization Using Tap Setting Transformer, DG and Capacitor Placement in Distribution Networks
In this article, a multi-objective function for placement of Distributed Generation (DG) and capacitors with thetap setting of Under Load Tap Changer (ULTC) Transformer is introduced. Most of the recent articles have paidless attention to DG, capacitor placement and ULTC effects in the distribution network simultaneously. Insimulations, a comparison between different modes was carried out with,...
متن کاملOptimal Placement and Sizing of DGs and Shunt Capacitor Banks Simultaneously in Distribution Networks using Particle Swarm Optimization Algorithm Based on Adaptive Learning Strategy
Abstract: Optimization of DG and capacitors is a nonlinear objective optimization problem with equal and unequal constraints, and the efficiency of meta-heuristic methods for solving optimization problems has been proven to any degree of complex it. As the population grows and then electricity consumption increases, the need for generation increases, which further reduces voltage, increases los...
متن کاملMulti Objective Optimization Placement of DG Problem for Different Load Levels on Distribution Systems with Purpose Reduction Loss, Cost and Improving Voltage Profile Based on DAPSO Algorithm
Along with economic growth of countries which leads to their increased energy requirements,the problem of power quality and reliability of the networks have been more considered andin recent decades, we witnessed a noticeable growing trend of distributed generation sources(DG) in distribution networks. Occurrence of DG in distribution systems, in addition tochanging the utilization of these sys...
متن کامل