Optimal Allocation of Capacitors in Unbalanced Multiconverter Distribution Systems Using Genetic Algorithms
نویسندگان
چکیده
Genetic algorithms (GAs) are considered very useful tools for the optimal allocation of capacitor banks in distribution systems. Nonetheless a high computational effort can be requested mainly in large scale systems. In the paper three GA-based methods for the optimal sizing and siting of capacitors in unbalanced multiconverter distribution networks are applied and compared to obtain a good solution with tolerable computational efforts. The first technique explores optimal solutions by means of a microgenetic algorithm. The other two techniques search the solution into a set of feasible candidate nodes obtained by using respectively Inherent Structure Theory of Networks and Sensitivity Analysis based methods. The three techniques are compared with a SGA (Simple Genetic Algorithm) using the IEEE 34-node unbalanced test system.
منابع مشابه
Optimal Reconfiguration and Capacitor Allocation in Radial Distribution Systems Using the Hybrid Shuffled Frog Leaping Algorithm in the Fuzzy Framework
In distribution systems, in order to diminish power losses and keep voltage profiles within acceptable limits, network reconfiguration and capacitor placement are commonly used. In this paper, the Hybrid Shuffled Frog Leaping Algorithm (HSFLA) is used to optimize balanced and unbalanced radial distribution systems by means of a network reconfiguration and capacitor placement. High accuracy and ...
متن کاملSimultaneous Placement of Capacitor and DG in Distribution Networks Using Particle Swarm Optimization Algorithm
Nowadays, using distributed generation (DG) resources, such as wind and solar, also improving the voltage profile in distribution companies has been considered. As optimal placement and sizing of shunt capacitors become more prevalent, utilities want to determine the impact of the various capacitors placement in distribution systems. Locating and determining the optimal capacity of shunt capaci...
متن کاملOptimal Capacitor Allocation in Radial Distribution Networks for Annual Costs Minimization Using Hybrid PSO and Sequential Power Loss Index Based Method
In the most recent heuristic methods, the high potential buses for capacitor placement are initially identified and ranked using loss sensitivity factors (LSFs) or power loss index (PLI). These factors or indices help to reduce the search space of the optimization procedure, but they may not always indicate the appropriate placement of capacitors. This paper proposes an efficient approach for t...
متن کاملStatic Task Allocation in Distributed Systems Using Parallel Genetic Algorithm
Over the past two decades, PC speeds have increased from a few instructions per second to several million instructions per second. The tremendous speed of today's networks as well as the increasing need for high-performance systems has made researchers interested in parallel and distributed computing. The rapid growth of distributed systems has led to a variety of problems. Task allocation is a...
متن کاملEconomic Evaluation of Optimal Capacitor Placement in Reconfiguration Distribution System Using Genetic Algorithm
Optimal capacitor placement, considering power system loss reduction, voltage profile improvement, line reactive power decrease and power factor correction, is of particular importance in power system planning and control. The distribution system operator calculates the optimal place, number and capacity of capacitors based on two major purposes: active power loss reduction and return on invest...
متن کامل