A novel hybrid algorithm based on combined BICA-BPSO for solving the optimal electricity procurement problem for large consumers

Mehdinejad, Mehdi; Nojavan, Sayyad; Zare, Kazem; Mohammadi-Ivatloo, Behnam

Document Type : Review Article

Authors

University of Tabriz

Abstract

In restructured electricity markets, the consumers have various procurement strategies to supply their electricity demand from alternative resources such as self-generating facility, bilateral contracts and pool market purchase. This paper proposes a hybrid approach based on binary imperialist competitive algorithm (BICA) and binary particle swarm optimization (BPSO) to find optimal procurement for large consumers with multiple procurement options. The solution of these problems provides adequate information to obtain an electricity procurement problem for large consumers. Also, the results are compared with ICA and PSO methods. Test results show that the proposed hybrid approach is more effective and has higher capability in finding the optimum solutions in comparison with ICA and PSO methods. A case study is used to illustrate the efficiency of the proposed hybrid approach.

Keywords

References

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Majlesi Journal of Electrical Engineering

A novel hybrid algorithm based on combined BICA-BPSO for solving the optimal electricity procurement problem for large consumers

References

References

Volume 10, Issue 1 - Serial Number 1
March 2016

A novel hybrid algorithm based on combined BICA-BPSO for solving the optimal electricity procurement problem for large consumers

References

References

Volume 10, Issue 1 - Serial Number 1March 2016

Volume 10, Issue 1 - Serial Number 1
March 2016