Economic Dispatch of the Low-Carbon Green Certificate with Wind Farms Based on Fuzzy Chance Constraints

Xiuyun Wang, Jian Wang, Biyuan Tian, Yang Cui and Yu Zhao
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Xiuyun Wang: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Jian Wang: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Biyuan Tian: State Grid Urumqi Power Supply Company, Urumqi 830011, China
Yang Cui: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Yu Zhao: State Grid Liaocheng Power Supply Company, Liaocheng 252000, China

Energies, 2018, vol. 11, issue 4, 1-19

Abstract: As the low-carbon economy continues to expand, wind power, as one form of clean energy, promotes the low-carbon power development process. In this paper, a multi-objective environmental economic dispatch (EED) model is proposed considering multiple uncertainties of the system. Carbon trading costs and green certificate trading costs are introduced into the economic costs. Meanwhile, the objective function of pollutant emissions is taken into account in the model, which can further promote the reduction of pollutant emissions in the system scheduling. The output of wind turbines is uncertain and volatile, so it brings new challenges to the power system EED once the large-scale wind power accesses the power grid. For the multiple uncertainties of the system, fuzzy chance-constrained programming is introduced, and the output of the wind turbines and the load are regarded as fuzzy variables. We use the clear equivalence forms to clarify the fuzzy chance constraints. The improved multi-objective standard particle swarm optimization (SPSO) algorithm is used to solve the optimization problem effectively. The feasibility and effectiveness of the proposed model and algorithm are verified by an example of a 10-unit system with two wind farms.

Keywords: wind power generation; environmental economic dispatch (EED); carbon trading; green certificate trading; fuzzy chance constraint; standard particle swarm optimization (SPSO) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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