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Optimal Dispatch Model Considering Environmental Cost Based on Combined Heat and Power with Thermal Energy Storage and Demand Response

Weidong Li, Tie Li, Haixin Wang, Jian Dong, Yunlu Li, Dai Cui, Weichun Ge, Junyou Yang and Martin Onyeka Okoye
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Weidong Li: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
Tie Li: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
Haixin Wang: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
Jian Dong: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
Yunlu Li: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
Dai Cui: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
Weichun Ge: State Grid Liaoning Electric Power Supply CO. LTD, Shenyang 110004, China
Junyou Yang: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
Martin Onyeka Okoye: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China

Energies, 2019, vol. 12, issue 5, 1-18

Abstract: In order to reduce the pollution caused by coal-fired generating units during the heating season, and promote the wind power accommodation, an electrical and thermal system dispatch model based on combined heat and power (CHP) with thermal energy storage (TES) and demand response (DR) is proposed. In this model, the emission cost of CO 2 , SO 2 , NO x , and the operation cost of desulfurization and denitrification units is considered as environmental cost, which will increase the proportion of the fuel cost in an economic dispatch model. Meanwhile, the fuel cost of generating units, the operation cost and investment cost of thermal energy storage and electrical energy storage, the incentive cost of DR, and the cost of wind curtailment are comprehensively considered in this dispatch model. Then, on the promise of satisfying the load demand, taking the minimum total cost as an objective function, the power of each unit is optimized by a genetic algorithm. Compared with the traditional dispatch model, in which the environmental cost is not considered, the numerical results show that the daily average emissions CO 2 , SO 2 , NO x , are decreased by 14,354.35 kg, 55.5 kg, and 47.15 kg, respectively, and the wind power accommodation is increased by an average of 6.56% in a week.

Keywords: environmental cost; dispatch model; wind power accommodation; combined heat and power (CHP); demand response (DR) (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: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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