Abstract

The appropriate control and management of reactive power is of great relevance in the electrical reliability, stability, and security of power grids. This issue is considered in order to increase system efficiency and to maintain voltage under the acceptable value range. In this regard, novel technologies as FACTS, renewable energies, among others, are varying conventional grid behavior leading to unexpected limit capacity reaching due to large reactive power flow. Thus, optimal planning of this must be considered. This paper proposes a new application for a simple and easy implementation optimization algorithm, called Rao-3, to solve the constrained non-linear optimal reactive power dispatch problem. Moreover, the integration of solar and wind energy as the most applied technologies in electric power systems are exploited. Due to the continuous variation and the natural intermittence of wind speed and solar irradiance as well as load demand fluctuation, the uncertainties which have a global concern are investigated and considered in this paper. The proposed single-objective and multi-objective deterministic/stochastic optimal reactive power dispatch algorithms are validated using three standard test power systems, namely IEEE 30-bus, IEEE 57-bus, and IEEE 118-bus. The simulation results show that the proposed optimal reactive power dispatch algorithms are superior compared with two recent algorithms (Artificial electric field algorithm (AEFA) and artificial Jellyfish Search (JS) algorithm) and other optimization algorithms used for solving the same problem.

Highlights

  • Optimal reactive power dispatch (ORPD) is considered one of the most very important conditions for the secure and economic operation of power systems

  • Hassan et al.: Optimal Reactive Power Dispatch With Time-Varying Demand and Renewable Energy Uncertainty non-linear optimization problems can be solved by classical methods such as Newton-Raphson [3], the interior point [4], linear programming (LP) [5], non-linear programming [6], and Quadratic programming (QP) [7]

  • In this research, a new application for the Rao-3 algorithm has been proposed to solve the non-linear optimal reactive power dispatch problem

Read more

Summary

INTRODUCTION

Optimal reactive power dispatch (ORPD) is considered one of the most very important conditions for the secure and economic operation of power systems. Hassan et al.: Optimal Reactive Power Dispatch With Time-Varying Demand and Renewable Energy Uncertainty non-linear optimization problems can be solved by classical methods such as Newton-Raphson [3], the interior point [4], linear programming (LP) [5], non-linear programming [6], and Quadratic programming (QP) [7]. The results show the superiority of proposed optimal reactive power dispatch algorithms based on three standard test power systems

PROBLEM FORMULATION
SIMULATION RESULTS AND DISCUSSION
TEST SYSTEM-3
TEST SYSTEM-4
CONCLUSION
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call