Pareto optimal allocation of fault current limiter based on immune algorithm considering cost and mitigation effect
| Autor: | Liangliang Wei, Yuanzhe Zhu, Jiaxin Yuan, Yang Lei, Baichao Chen, Yongheng Zhong |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Engineering
TK1001-1841 Fault current mitigation effect 020209 energy Energy Engineering and Power Technology TJ807-830 02 engineering and technology 01 natural sciences Renewable energy sources Production of electric energy or power. Powerplants. Central stations 0103 physical sciences Fault current limiter 0202 electrical engineering electronic engineering information engineering Limiter FCL optimal allocation Pareto optimal solutions 010306 general physics Immune algorithm Renewable Energy Sustainability and the Environment business.industry Inversion (meteorology) Global optimal Pareto optimal Modified inversion operator business Algorithm |
| Zdroj: | Journal of Modern Power Systems and Clean Energy, Vol 5, Iss 5, Pp 820-829 (2017) |
| ISSN: | 2196-5420 |
| Popis: | This paper presents a multi-objective Pareto optimal method for allocation of fault current limiters based on an immune algorithm, which takes into account two objectives of the cost and fault current mitigation effect. A sensitivity factor calculation method based on the rate of fault current mitigation is proposed to reduce the search space and improve the efficiency of the algorithm. In this approach, the objective functions related to the cost and fault current mitigation effect are established. A modified inversion operator based on equal cost is proposed to converge to global optimal solutions more effectively. The proposed algorithm is tested on the IEEE 39-bus system, and obtains the Pareto optimal solutions, from which the user can select the most suitable solutions according to the preferences and relative importance of the objective functions. Simulation results are used to verify the proposed method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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