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Cooperative approach to artificial bee colony algorithm for optimal power flow

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Abstract

Recently, the artificial bee colony (ABC) algorithm has been developed to efficiently and effectively solve a wide range of optimization problems. In this work, the standard ABC algorithm is extended by incorporating a cooperation approach, and an algorithm called cooperative ABC (CABC) is proposed to solve the optimal power flow (OPF) problem. CABC aims at improving the performance of the standard ABC algorithm by using multiple artificial bee colonies to optimized different components of the solution vector cooperatively. With six well known benchmarks, CABC is proved to have significant better performance improvement on the standard ABC. CABC is then applied to the real-world OPF problem on an IEEE 30-bus test system. The simulation results showed that the proposed CABC outperforms other algorithms investigated in this paper in terms of optimization accuracy and computation robustness.

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Acknowledgements

This research is partially supported by National Natural Science Foundation of China und Grants 61105067, 71001072, 61174164 and 71271140, State Grid Science and Technology Project 5222LK14040H.

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Authors and Affiliations

  1. Operation Monitoring Center, State Grid Liaoning Electric Power Supply Co. LTD, Shenyang, China

    Xiaoming Zhou, Anlong Su, Aimin Liu & Wanli Cui

  2. School of Information and Technology, Jilin Normal University, Siping, China

    Wei Liu

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  1. Xiaoming Zhou
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  2. Anlong Su
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  3. Aimin Liu
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  4. Wanli Cui
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  5. Wei Liu
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Correspondence to Wei Liu.

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Zhou, X., Su, A., Liu, A. et al. Cooperative approach to artificial bee colony algorithm for optimal power flow. Cluster Comput 22 (Suppl 4), 8059–8067 (2019). https://doi.org/10.1007/s10586-017-1594-9

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  • DOI: https://doi.org/10.1007/s10586-017-1594-9

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