Wind Power Consumption Research Based on Green Economic Indicators

Xiuyun Wang, Yibing Zhou, Junyu Tian, Jian Wang and Yang Cui
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Xiuyun Wang: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Yibing Zhou: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Junyu Tian: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Jian Wang: State Grid Sanmenxia Power Supply Company, Sanmenxia 472000, China
Yang Cui: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China

Energies, 2018, vol. 11, issue 10, 1-24

Abstract: As a representative form of new energy generation, wind power has effectively alleviated environmental pollution and energy shortages. This paper constructs a green economic indicator to measure the degree of coordinated development of environmental and social benefits. To increase the amount of wind power consumption, an economic dispatch model based on the coordinated operation of cogeneration units and electric boilers was established; we also introduced the green certificate transaction cost, which effectively meets the strategic needs of China’s energy low-carbon transformation top-level system design. Wind power output has instability and volatility, so it puts higher requirements on the stable operation of thermal power units. To solve the stability problem, this paper introduces the output index of the thermal power unit and rationally plans the unit combination strategy, as well as introducing the concept of chance-constrained programming due to the uncertainty of load and wind power in the model. Uncertainty factors are transformed into load forecasting errors and wind power prediction errors for processing. Based on the normal distribution theory, the uncertainty model is transformed into a certain equivalence class model, and the improved disturbance mutated particle swarm optimization algorithm is used to solve the problem. Finally, the validity and feasibility of the proposed model are verified based on the IEEE30 node system.

Keywords: green economic indicator; stability; wind power consumption; opportunity constraints; particle swarm optimization (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 (1)

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