Optimal Power Flow with Reactive Power Compensation for Cost and Loss Minimization On Nigerian Power Grid System

Ganiyu Adedayo Ajenikoko,Elijah Olabode,Olakunle Olakunle

doi:10.11591/ijeei.v5i3.284

Abstract

One of the concerns of power system planners is the problem of optimum cost of generation as well as loss minimization on the grid system. This issue can be addressed in a number of ways; one of such ways is the use of reactive power support (shunt capacitor compensation). This paper used the method of shunt capacitor placement for cost and transmission loss minimization on Nigerian power grid system which is a 24-bus, 330kV network interconnecting four thermal generating stations (Sapele, Delta, Afam and Egbin) and three hydro stations to various load points. Simulation in MATLAB was performed on the Nigerian 330kV transmission grid system. The technique employed was based on the optimal power flow formulations using Newton-Raphson iterative method for the load flow analysis of the grid system. The results show that when shunt capacitor was employed as the inequality constraints on the power system, there is a reduction in the total cost of generation accompanied with reduction in the total system losses with a significant improvement in the system voltage profile

Highlights

One of the major concerns of power system planner/ utility companies is the problem of optimum cost of generation as well as loss minimization on the grid system while supplying power to the public in a robust and reliable manner [1]
The concept of optimal power flow (OPF) was firstly introduced in early 1960s by Carpentier [2, 3] and ever since, a number of dynamic researchers have solved OPF problems with different methods ranging from Convectional to Artificial intelligence methods
The load flow problem and OPF problem are inseparable in the sense that every feasible point of OPF must satisfy the load flow equations.OPF seeks to minimize the total fuel cost while meeting the operational constraints of the power system- equality and inequality constraints- The desired minimum cost of generation can be achieved by scheduling unit outputs of committed power generators at generating station

Summary

Introduction

One of the major concerns of power system planner/ utility companies is the problem of optimum cost of generation as well as loss minimization on the grid system while supplying power to the public in a robust and reliable manner [1]. Optimal power flow aims to optimize a specific objective function, subject to the network power flow equations and system as well as equipment operating limits. In a bid to solve the problem of convergence, Newton-Raphson iterative method was formulated. The fundamental problem associated with this approach is bus admittance matrix for multinomial dimensions [5].Fast decouple Newton-Raphson method is a tool for solving optimal power flow problems. As knowledge search exercise advances, a mean of arriving at global optimum solutions evolved which is metaheuristic in nature [7]. They overcome the problem of convergence to local solutions which is the core drawback of conventional OPF techniques

Methods

Discussion

Conclusion