Optimal Economic and Emission Dispatch of a Microgrid with a Combined Heat and Power System

Liangce He, Zhigang Lu, Lili Pan, Hao Zhao, Xueping Li and Jiangfeng Zhang
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Liangce He: Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province, Yanshan University, Qinhuangdao 066004, Hebei, China
Zhigang Lu: Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province, Yanshan University, Qinhuangdao 066004, Hebei, China
Lili Pan: Cangzhou Power Supply Branch, State Grid Hebei Electric Power Co., Ltd., Cangzhou 061000, Hebei, China
Hao Zhao: China Energy Engineering Group, Tianjin Electric Power Design Institute Co., Ltd., Tianjin 300400, China
Xueping Li: Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province, Yanshan University, Qinhuangdao 066004, Hebei, China
Jiangfeng Zhang: School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia

Energies, 2019, vol. 12, issue 4, 1-19

Abstract: With the rapid development of the new concept of energy internet, electric power systems often need to be investigated together with thermal energy systems. Additionally, to reduce pollution from gas emissions, it is very important to study the economic and emission dispatch of integrated electrical and heating systems. Hence, this paper proposes a multi-objective optimization dispatch model for a microgrid (MG) with a combined heat and power (CHP) system. This CHP-based MG system consists of a CHP unit, a wind turbine, a PV system, a fuel cell, an electric boiler, an electric storage, and a heat storage. It can exchange electricity with the distribution network and exchange heat with the district heating network. Minimum economic cost and minimum environmental cost are considered as the two objectives for the operation of this CHP-based MG system. To solve the two objective optimization problem, the multi-objective bacterial colony chemotaxis algorithm is utilized to obtain the Pareto optimal solution set, and the optimal solution is chosen by the Technique for Order of Preference by Similarity to Ideal Solution method. Finally, numerical case studies demonstrate the effectiveness of proposed model and method for the optimal economic and emission dispatch of the CHP-based MG system.

Keywords: combined heat and power system; economic and emission dispatch; microgrid; multi-objective optimization; energy internet (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 (8)

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