An Annual Electric Energy Trade Scheduling Model under the Dual Track Mode

Na Zhang, Mingli Zhang, Liang Sun, Jingwei Hu, Jinqi Li and Weidong Li
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Na Zhang: State Grid Liaoning Economic Research Institute, Shenyang 110015, China
Mingli Zhang: State Grid Liaoning Economic Research Institute, Shenyang 110015, China
Liang Sun: School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China
Jingwei Hu: State Grid Liaoning Economic Research Institute, Shenyang 110015, China
Jinqi Li: State Grid Liaoning Economic Research Institute, Shenyang 110015, China
Weidong Li: School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China

Energies, 2022, vol. 15, issue 14, 1-19

Abstract: The annual electricity trade scheduling is the basis of long-term power generation scheduling. In recent decades, the ratio of new energy generation in China has increased annually, and the electricity market has operated under the “market electricity” and “planned electricity” double track mode in recent years. However, the existing annual electricity trade scheduling methods are extensive and cannot adapt to the new situation of “market electricity” and large-scale new energy generation. The annual scheduled energy of the power units is set as a decision variable, and a novel annual energy scheduling optimization model based on Gini coefficient of fairness is presented in this paper. In this model, “market electricity” capacity is conversed monthly, considering peaking reserve demand and monthly characteristics of new energy generation. The fairness constraint set based on Gini coefficient is introduced into the optimization model to solve various fairness problems. Simulation results show that the introduction of the Gini coefficient and the optimization model considering the monthly conversion of marketing electricity capacity can obtain more accurate and reasonable electricity distribution results, and the peaking demand can be considered more fairly and effectively. The proposed method provides a feasible solution to the annual electric energy scheduling for dual-track operation country such as China.

Keywords: annual electric energy trade scheduling; double-track operation; high penetration of clean energy (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: 2022
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