Optimal Dispatch of Microgrid with Combined Heat and Power System Considering Environmental Cost

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

Energies, 2018, vol. 11, issue 10, 1-23

Abstract: With the rapid development of wind power generation and photovoltaic power generation, the phenomenon of wind and solar abandoning becomes more and more serious in the operation of power systems, and the microgrid is a new operating mode of power systems which provides a new consumption mode for wind power generation. With the increasingly close connection among energy resources and people’s increasing awareness of environmental protection, this paper establishes a microgrid optimal scheduling model with a combined heat and power system, in consideration of environmental costs. This model aims at the lowest comprehensive cost, at the same time taking into account the emission reductions of SO 2 and NO x , considering the cost of power generated by the micro-generator, environmental cost, the related cost of battery, operation and maintenance cost of wind power, and photovoltaic power generation. The related constraints of thermal balance and power balance are also considered during microgrid system operation. The established model is solved with an improved particle swarm algorithm. At last, taking a microgrid system as an example, the validity and reliability of the proposed model are verified.

Keywords: environmental costs; microgrid dispatch; combined heating and power system; 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 (6)

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