Optimal reactive power dispatch using backtracking search algorithm
Optimal reactive power dispatch (ORPD) problem has a mounting effectuation on secure and economical operation of electrical power systems. It is well-known as a non-linear, multimodal and mixed-variable problem which has been solved using various computation intelligence-based techniques in the last...
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| Published in | Australian journal of electrical & electronics engineering Vol. 13; no. 3; pp. 200 - 210 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Taylor & Francis
02.07.2016
Taylor & Francis Group LLC |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1448-837X 2205-362X |
| DOI | 10.1080/1448837X.2017.1325134 |
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| Summary: | Optimal reactive power dispatch (ORPD) problem has a mounting effectuation on secure and economical operation of electrical power systems. It is well-known as a non-linear, multimodal and mixed-variable problem which has been solved using various computation intelligence-based techniques in the last decades. In this paper, as a new approach, backtracking search algorithm (BSA) is applied to solve the ORPD problem to minimise the power losses and/or improve the voltage profile under control and dependent variable constraints. The BSA is a new evolutionary algorithm for solving real-valued numerical optimisation problems. It has a simple structure and single control parameter. It memorises a population from a randomly chosen previous generation for use in generating the search-direction matrix. This grants BSA the advantage of experiences gained from previous generations to generate the offsprings. The proposed BSA is applied to the IEEE standard 30-bus system, and a real power system at West Delta Network as a part of the Unified Egyptian Network. Simulation results show the capability of the proposed BSA for solving the ORPD problem. |
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| ISSN: | 1448-837X 2205-362X |
| DOI: | 10.1080/1448837X.2017.1325134 |