Economic Load Dispatch Using Oppositional Backtracking Search Algorithm
| Autor: | Provas Kumar Roy, Tandra Pal, Moumita Pradhan |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Mathematical optimization
Engineering Optimization problem Scale (ratio) Heuristic (computer science) business.industry 020209 energy 02 engineering and technology Nonlinear system Differential evolution Economic load dispatch 0202 electrical engineering electronic engineering information engineering Point (geometry) business Backtracking search algorithm |
| Zdroj: | International Journal of Energy Optimization and Engineering. 6:79-97 |
| ISSN: | 2160-9543 2160-9500 |
| DOI: | 10.4018/ijeoe.2017040105 |
| Popis: | In this paper, an oppositional backtracking search algorithm (OBSA) is proposed to solve the large scale economic load dispatch (ELD) problem. The main drawback of the conventional backtracking search algorithm (BSA) is that it produces a local optimal solution rather than the global optimal solution. The proposed OBSA methodology is a highly-constrained optimization problem has to minimize the total generation cost by satisfying several constraints involving load demand, generation limits, prohibited operating zone, ramp rate limits and valve point loading effect. The proposed method is applied for three test systems and provides the unique and fast solutions. The new heuristic OBSA approach is successfully applied in three test systems consisting of 13 and 140 thermal generators. The test results are judged against various methods. The simulation results show the effectiveness and accuracy of the proposed OBSA algorithm over other methods like conventional BSA, oppositional invasive weed optimization (OIWO), Shuffled differential evolution (SDE) and oppositional real coded chemical reaction optimization (ORCCRO). This clearly suggests that the new OBSA method can achieve effective and feasible solutions of nonlinear ELD problems. |
| Databáze: | OpenAIRE |
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