Design of fractional swarming strategy for solution of optimal reactive power dispatch
| Autor: | Ata Ur Rehman, Yasir Muhammad, Muhammad Saeed Aslam, Rahimdad Khan, Muhammad Asif Zahoor Raja, Farman Ullah |
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| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Computer science Control variable 02 engineering and technology AC power Energy sector Evolutionary computation law.invention Electric power system 020901 industrial engineering & automation Artificial Intelligence law Control theory 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Transformer Software Voltage |
| Zdroj: | Neural Computing and Applications. 32:10501-10518 |
| ISSN: | 1433-3058 0941-0643 |
| DOI: | 10.1007/s00521-019-04589-9 |
| Popis: | Optimal reactive power dispatch (RPD) for reducing the real power losses of the transmission system is one of the paramount concerns for the research community to investigate the efficiency of power systems. In this paper, strength of meta-heuristic computing paradigm based on fractional-order Darwinian particle swarm optimization (FO-DPSO) is exploited for optimization of RPD problems in energy sector. The fitness functions including line loss minimization and voltage deviation (voltage profile index) are constructed to find the optimal reactive power flow for IEEE 30- and 57-bus test systems. The rich heritage of fractional evolutionary computing through variants of FO-DPSO is applied to minimization problem of optimal power flow by determination of control variables in terms of VAR compensators, bus voltages and transformer tap settings. Comparison of the results shows that fractional swarming intelligence outperformed the state-of-the-art counterparts by means of both line loss minimization and voltage deviation. Superiority of the proposed scheme is also validated for different degrees of freedom in the optimal RPD problems. |
| Databáze: | OpenAIRE |
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