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A Hybrid Multi-Objective Crisscross Optimization for Dynamic Economic/Emission Dispatch Considering Plug-In Electric Vehicles Penetration

School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China
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This paper is an extended version of “An Adaptive Differential Evolution Crisscross Optimization Based Dynamic Economic/Emission Dispatch Considering Wind Power” published in 2019 Chinese Control and Decision Conference.
Energies 2019, 12(20), 3847; https://doi.org/10.3390/en12203847
Received: 2 August 2019 / Revised: 29 September 2019 / Accepted: 8 October 2019 / Published: 11 October 2019
Due to the significant uncertainty of charging time and charging power consumption, the large increase in plug-in electric vehicles (PEVs) may create a major influences on the power system: According to people’s living habits, PEVs are basically charged during peak load periods (after work). Once PEVs continue the random charging behavior, there will be a higher difference of peak-valley and bigger burden on the grid. A new strategy is put forward for dynamic economic/emission dispatch (DEED) with the consideration of PEVs for the purpose to shave the peak and fill the valley in this paper, and the influences brought from different loads of grid-to-vehicle (G2V) and vehicle-to-grid (V2G) on DEED problem are discussed. The problem to be solved is a challenging multi-objective non-linear problem. By taking advantage of the differential evolution (DE) algorithms and a newly developed crisscross optimization algorithm, a new multi-objective hybrid optimization algorithm is put forward to deal with the problem including effectively dealing with the inequality and equality constraints. A case study is presented to show the feasibility and effectiveness of the put forward method. The analysis results demonstrate that the put forward algorithm could effectively solve DEED problem, showing that the resulting approach of peak shaving and valley filling could significantly save economic costs and reduce emissions under the same load. View Full-Text
Keywords: dynamic economic/emission dispatch (DEED); multi-objective optimization; differential evolution; crisscross optimization; plug-in electric vehicles (PEVs) dynamic economic/emission dispatch (DEED); multi-objective optimization; differential evolution; crisscross optimization; plug-in electric vehicles (PEVs)
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Mei, P.; Wu, L.; Zhang, H.; Liu, Z. A Hybrid Multi-Objective Crisscross Optimization for Dynamic Economic/Emission Dispatch Considering Plug-In Electric Vehicles Penetration. Energies 2019, 12, 3847.

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