Optimal Power Flow Subject to Security Constraints Solved With a Particle Swarm Optimizer
This paper presents a novel approach to solve an optimal power flow problem with embedded security constraints (OPF-SC), represented by a mixture of continuous and discrete control variables, where the major aim is to minimize the total operating cost, taking into account both operating security con...
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| Published in | IEEE transactions on power systems Vol. 23; no. 1; pp. 33 - 40 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.02.2008
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0885-8950 1558-0679 |
| DOI | 10.1109/TPWRS.2007.913196 |
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| Abstract | This paper presents a novel approach to solve an optimal power flow problem with embedded security constraints (OPF-SC), represented by a mixture of continuous and discrete control variables, where the major aim is to minimize the total operating cost, taking into account both operating security constraints and system capacity requirements. The particle swarm optimization (PSO) algorithm with reconstruction operators (PSO-RO) has been used as the optimization tool. Such operators guarantee searching the optimal solution within the feasible space, reducing the computation time and improving the quality of the solution. Results on systems from the specialized literature are adopted to validate the proposed approach. |
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| AbstractList | This paper presents a novel approach to solve an optimal power flow problem with embedded security constraints (OPF-SC), represented by a mixture of continuous and discrete control variables, where the major aim is to minimize the total operating cost, taking into account both operating security constraints and system capacity requirements. The particle swarm optimization (PSO) algorithm with reconstruction operators (PSO-RO) has been used as the optimization tool. Such operators guarantee searching the optimal solution within the feasible space, reducing the computation time and improving the quality of the solution. Results on systems from the specialized literature are adopted to validate the proposed approach. This paper presents a novel approach to solve an optimal power flow problem with embedded security constraints (OPF-SC), represented by a mixture of continuous and discrete control variables, where the major aim is to minimize the total operating [abstract truncated by publisher]. |
| Author | Onate Yumbla, Pablo E. Coello Coello, Carlos A. Ramirez, Juan M. |
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| SubjectTerms | Constraint optimization Cost function Load flow Mathematical analysis Mathematical models Operating costs Operators Optimization Optimization methods Particle swarm optimization Power flow Power generation power generation economics Power system control Power system economics Power system security Power systems Security Transformers unit commitment |
| Title | Optimal Power Flow Subject to Security Constraints Solved With a Particle Swarm Optimizer |
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