Grey Wolf Optimization for Multi Input Multi Output System

Abstract

Grey wolf optimizer (GWO) is a newtechnique, which can be applied successfully for solving optimized problems. The GWO indeed simulates the leadership hierarchy and hunting mechanism of grey wolves. There are four types of grey wolves which are alpha, beta, delta and omega. Those four types can be used for simulating the leadership hierarchy. In order to complete the process of GWO a three main steps of hunting, searching for prey, encircling prey and attacking prey are implemented. This work describes a novel meta-heuristic based on grey wolf optimization for optimum allocation of STATCOM devices on power system grid to minimized load buses voltage deviations and system power losses. Bus voltages have been solved by controlling the reactive power of shunt compensator. The Contingency management problem (such as system over-loading and a single line outages) by optimum installation of STATCOM devices, has been presented. Simulations are performed on IEEE 30-bus power system indicate that the proposed approach is a powerful search and optimization technique that may yield better solutions to engineering problems than those obtained using traditional algorithms.

Hybrid GMSA for Optimal Placement and Sizing of Distributed Generation and Shunt Capacitors

“…Different heuristic techniques have been developed to solve the optimal power flow problems using capacitors, as commonly used for reactive power compensation in dynamic and static optimization modes [4][5][6][7][8]. However, the random locating of capacitors can cause more voltage drop and higher power losses.…”

“…However, the random locating of capacitors can cause more voltage drop and higher power losses. Moreover, the capacitor allocation problem has a combinatorial nature because capacitor locations and sizes are discrete variables [4,5]. On the other hand, the utilizing of DG resources and inexpensive renewable sources in electrical networks with the development of technologies are increasing.…”

Optimal Allocation of multiple Distribution Generations in Radial distribution systems using Different Optimization Techniques

“…Moreover, they can be applying simply to different optimization problems without any change in algorithm structure, and they are the most suitable optimization techniques for real problems. Different modification techniques have been introduced to enhance the performance of (PSO) [1].…”

Optimal Pattern Synthesis of Linear Antenna Array Using Grey Wolf Optimization Algorithm

“…GWO has been applied to solve practical optimization problems in engineering [25] such as tension/compression spring design, welded beam design, pressure vessel design, and optical buffer design. GWO has also been used in areas like allocation of static synchronous compensator (STATCOM) devices on power system grid [26] and to solve economic dispatch problems [27,28] and so forth. In [29], an improved grey wolf optimizer for training q-Gaussian Radial Basis Functional-link nets was proposed.…”