Abstract

The application of a novel Particle Swarm Optimization (PSO) method called Fitness Distance Ratio PSO (FDR PSO) algorithm is described in this paper to determine the optimal power dispatch of the Independent Power Producers (IPP) with linear ramp model and transient stability constraints of the power producers. Generally the power producers must respond quickly to the changes in load and wheeling transactions. Moreover, it becomes necessary for the power producers to reschedule their power generation beyond their power limits to meet vulnerable situations like credible contingency and increase in load conditions. During this process, the ramping cost is incurred if they violate their permissible elastic limits. In this paper, optimal production costs of the power producers are computed with stepwise and piecewise linear ramp rate limits. Transient stability limits of the power producers are also considered as addi-tional rotor angle inequality constraints while solving the Optimal Power Flow (OPF) problem. The proposed algo-rithm is demonstrated on practical 10 bus and 26 bus systems and the results are compared with other optimization methods.

Highlights

  • The electric power industry is restructured around the world to meet the growing load demand

  • The application of a novel Particle Swarm Optimization (PSO) method called Fitness Distance Ratio PSO (FDR PSO) algorithm is described in this paper to determine the optimal power dispatch of the Independent Power Producers (IPP) with linear ramp model and transient stability constraints of the power producers

  • Transient stability limits of the power producers are considered as additional rotor angle inequality constraints while solving the Optimal Power Flow (OPF) problem

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Summary

Introduction

The electric power industry is restructured around the world to meet the growing load demand. OPF problem is aimed to optimize the operating cost of the power system while satisfying various system operating constraints. Due to the occurrence of large blackouts, stability constraints are inevitable while solving the optimal power flow problem [6]. In the real time power market, the critical contingencies and sudden load changes forced the operation of the Independent Power Producers (IPPs) beyond their operating power limits. 266 A Novel PSO Algorithm for Optimal Production Cost of the Power Producers with Transient Stability Constraints optimal pricing policy, which reduces the ramping cost and the possibility of large scale blackout [15]. Optimal Power Flow problem considered in this paper is solved using a novel Fitness Distance Ratio based swarm algorithm with transient stability limit. A linear ramping model is validated to compute the ramping cost of the power producers with a utility test system

Problem Formulation
Overview of Particle Swarm Optimization
FDR PSO Algorithm
Simulation Results and Discussion
Case 1
Optimization methods
Case 2
Case 3
Method
Full Text
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