Optimal Placement of DGs in Distribution System Using an Improved Harris Hawks Optimizer Based on Single- and Multi-Objective Approaches

Ali Selim,Francisco Jurado,Ali S Alghamdi,Salah Kamel

doi:10.1109/access.2020.2980245

Abstract

In this paper, improved single- and multi-objective Harris Hawks Optimization algorithms, called IHHO and MOIHHO, respectively are proposed and applied for determining the optimal placement of distribution generation (DG) in the radial distribution systems. Harris Hawks optimizer (HHO) is a new inspired meta-heuristic optimization technique that is mainly based on the intelligence behavior of the Harris hawks in chasing prey. The IHHO and MOIHHO are applied for determining the optimal size and location of DG at different operating power factors (p.f) with the aim of minimizing the total active power loss, reducing the voltage deviation (VD), and increasing the voltage stability index (VSI) considering the operational constraints of distribution system. In IHHO, the performance of the conventional HHO algorithm is improved using the rabbit location instead of the random location. In MOIHHO, grey relation analysis is applied for identifying the best compromise solution among the non-dominance Pareto solutions. To verify the effectiveness of the proposed algorithms, IEEE 33-bus and IEEE 69-bus radial distribution systems are used, and the obtained results are compared with those obtained by other optimization techniques. The results prove the efficiency of the proposed algorithms in terms of best solutions obtained so far for the single- and multi-objective scenarios.

Highlights

DIRECTIONS In this paper, the optimal allocation of distribution generation (DG) in the radial distribution system has been achieved using single- and multi-objective approaches based on the proposed improved Harris hawks optimization (IHHO) and Multi-objective Improved Harris hawks Algorithm (MOIHHO)
In the single-objective problem, minimizing the active power loss has been considered the main target of the DG allocation, three objective functions have been optimized using the multi-objective problem
The IHHO and MOIHHO have been compared with conventional Harris Hawks optimizer (HHO) and MOHHO based on statistical analysis as well as other well-known optimization techniques

Summary

INTRODUCTION

For the single-objective problem, a genetic algorithm (GA) has been employed to optimally allocate the DG into the distribution system for minimizing the total power loss [5]. Many research works have been introduced based on this methodology to optimize three objective functions namely power loss, voltage deviation (VD), and voltage stability index (VSI) such as GA [16], PSO [16], GA/PSO [16], teaching-learning based optimization (TLBO), its quasi-oppositional version (QOTLBO) [17], swine influenza model-based optimization with quarantine SIMBO-Q, its quasi-oppositional QOSIMBO-Q [18], and imperialist competitive algorithm and genetic algorithm (ICA/GA) [19] This methodology faces some challenges represented in the selection of the weighting factor. Appling the proposed IHHO and MOIHHO to determine the optimal allocation of DG units in the radial distribution system to minimize the total losses, voltage deviation, and maximize VSI, simultaneously.

PROBLEM FORMULATION

CHANGE FROM EXPLORATION TO EXPLOITATION

EXPLOITATION PHASE

APPLICATION OF IHHO IN DG ALLOCATION

VIII. RESULT

CONCLUSIONS AND FUTURE DIRECTIONS