Abstract
Economic operation of electric energy generating systems is one of the prevailing problems in energy systems. In this paper, a new method called the Backtracking Search Optimization Algorithm (BSA) is proposed for solving the optimal power flow problem. This method is tested for 16 different cases on the IEEE 30-bus, IEEE 57-bus, and IEEE 118-bus test systems. In addition to the traditional generating fuel cost, multi-fuels options, valve-point effect and other complexities have been considered. Furthermore, different objectives such as voltage profile improvement, voltage stability enhancement and emission reduction are considered. The obtained results are compared with those obtained using some well-known optimization algorithms. This comparison highlights the effectiveness of the BSA method for solving different OPF problems with complicated and non-smooth objective functions.
| Original language | English |
|---|---|
| Pages (from-to) | 64-77 |
| Number of pages | 14 |
| Journal | International Journal of Electrical Power and Energy Systems |
| Volume | 81 |
| DOIs | |
| State | Published - 1 Oct 2016 |
Bibliographical note
Publisher Copyright:© 2016 Elsevier Ltd. All rights reserved.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Backtracking search optimization
- Energy efficiency
- Environmental pollution
- Optimal power flow
- Power system optimization
- Valve-point effect
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
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