An Approach on Non-Discriminatory Losses Charge Allocation for Deregulated Power Market Using Meta-Heuristic-Optimization-Based-Electricity-Tracing (MOET)

Zulkiffli Abdul Hamid; Ismail Musirin; Sidratul Hakim Mohamad Kerta

doi:10.15866/iree.v12i2.11295

An Approach on Non-Discriminatory Losses Charge Allocation for Deregulated Power Market Using Meta-Heuristic-Optimization-Based-Electricity-Tracing (MOET)

Zulkiffli Abdul Hamid^(1*), Ismail Musirin⁽²⁾, Sidratul Hakim Mohamad Kerta⁽³⁾

^(*) Corresponding author

Authors' affiliations

DOI: https://doi.org/10.15866/iree.v12i2.11295

Abstract

This paper presents an alternative technique for losses charge allocation using electricity tracing theory. The meta-heuristic optimization technique was incorporated to perform the tracing process of powers and losses contributed by individual generator and load. In producing a better optimization engine, hybridization between the well known Genetic Algorithm (GA) and continuous domain Ant Colony Optimization (ACOR) was performed for fast optimization process with optimal solution. The proposed method gives reliable perspective when allocating the losses charge on consumers as it is free from assumption and also applicable in any conditions of power system. Comparative studies and analysis have justified the capability of the proposed method for non-discriminatory losses charge allocation in deregulated power market. Furthermore, comparison between various meta-heuristic algorithms and analysis on their performance has reduced the doubt for real system application.
Copyright © 2017 Praise Worthy Prize - All rights reserved.

Keywords

Meta-Heuristic Optimization; Electricity Tracing; Losses Charge Allocation

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