A Novel Nature Inspired Meta-Heuristic Optimization Approach of GWO Optimizer for Optimal Reactive Power Dispatch Problems

Raheela Jamal,Noor Habib Khan,Baohui Men

doi:10.1109/access.2020.3031640

Raheela Jamal, Noor Habib Khan + Show 1 more

Open Access

https://doi.org/10.1109/access.2020.3031640

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Journal: IEEE Access	Publication Date: Jan 1, 2020
Citations: 68	License type: CC BY 4.0

Affiliation: North China Electric Power University

Abstract

In this paper, a novel nature inspired meta heuristic optimization approach of Grey Wolf Optimization (GWO) algorithm is employed to solved the optimal reactive power dispatch (ORPD) problems. Essentially, it is the sub and non-linear optimization problem of optimal power flow (OPF) in which the control parameters of the power networks are optimized. The Grey wolf optimizer (GWO) which is inspired from grey wolves' leadership and hunting behaviors to solve the ORPD problems. For which, the optimizer is tested on two test cases of IEEE30 standards specially, for 13 and 19 variables in order to get three fitness objectives for instance; transmission line losses (P <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">losses</sub> , MW), voltage deviation (VD), voltage stability index (VSI) and cost of energy in ($). During computing all fitness objectives, the minimum fitness values are possibly achieved by the finest settings of control variables. The simulation results are compared with other artificial intelligence methods in previous literature to ensure the superior performance of the GWO for ORPD problem. The consistency of GWO will further be validated through detailed statistical analysis including histogram illustrations, boxplots, empirical CDF plot, probability plot and plot of minimum fitness during each independent trial.

Highlights

The recent span of revisions related to the power systems are mostly attentive to reduce the entire cost of the generation with stable and secure operations
In the research, the nature inspired metaheuristic approach of Grey Wolf Optimizer (GWO) is successfully employed to solved optimal reactive power dispatch (ORPD) problems for two given Cases A, B
The simulation results showed that GWO optimizer is effective and efficient approach for solving the ORPD problems

Summary

Introduction

The recent span of revisions related to the power systems are mostly attentive to reduce the entire cost of the generation with stable and secure operations. The reduction in transmission line losses with the improved of voltage profile plays a vital part in resolving the optimal reactive power dispatch (ORPD) issues. These tasks can be achieved by improving the settings of control parameters for instance; the reactive outcomes of generator voltages, tap changer of transformers and reactive shunt VAR compensators. The mostly objective functions are optimized while resolving the optimal reactive power dispatch issues comprises as; minimization of transmission line losses, voltage deviation, improvement of voltage stability index and minimization of cost of energy. In the initial step of research led to resolve the ORPD problems, there are several techniques which are used such as; classical methods including the gradient method [2,3], interior point method [4], linear programming and non-linear programming [5], quadratic programming and Newton method [6], Langrangian technique [7] and dynamic programing [8]

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