An Analysis of Economic Load Dispatch With Ramp Rate Limit Constraints Using Optimization Techniques

Rohaizah Mohd Ghazali; Shakilah Abdullah; Siti Nor Baizura Zawawi

Rohaizah Mohd Ghazali Department of Engineering, Faculty of Engineering and Life Sciences, Universiti Selangor, Malaysia
Shakilah Abdullah Department of Engineering, Faculty of Engineering and Life Sciences, Universiti Selangor, Malaysia
Siti Nor Baizura Zawawi Department of Engineering, Faculty of Engineering and Life Sciences, Universiti Selangor, Malaysia

Keywords: Economic Load Dispatch, PSO, PSOIWA

Abstract

The Economic Load Dispatch (ELD) plays an important role in power system operation and control. The losses that occur in power system must be reduced in order to boost its overall performance. This study is to meet the objectives for solving ELD considering ramp rate limit constrain in order to reduce the cost of generating units and obtain an optimal solution at each generating unit. The ramp rate limit will ensure the generating units working at optimum to dispatch enough power in order to fulfil the load demands. This study shows successful implementation of two evolutionary algorithms, namely Particle Swarm Optimization (PSO) and Particle Swarm Optimization with Inertia Weight Factor Approach (PSOIWA). The effectiveness of the proposed method was implemented in case studies for different test system; IEEE-30 Bus System, IEEE-24 Bus System and IEEE-62 Bus System. Both algorithms have been used for each case study. The minimum fuel cost of each algorithm is compared for each case. Therefore, the main objective of this study is to compare the performance of the purposed method, PSO and PSOIWA. The viability of the purposed methods are analysed and compared based on its minimum fuel cost obtain and robustness of the convergence rate.

Author Biographies

Rohaizah Mohd Ghazali, Department of Engineering, Faculty of Engineering and Life Sciences, Universiti Selangor, Malaysia

Shakilah Abdullah, Department of Engineering, Faculty of Engineering and Life Sciences, Universiti Selangor, Malaysia

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