Optimum Electric Boiler Capacity Configuration in a Regional Power Grid for a Wind Power Accommodation Scenario

Da Liu, Guowei Zhang, Baohua Huang and Weiwei Liu
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Da Liu: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Guowei Zhang: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Baohua Huang: North China Electric Power Research Institute Co, Ltd., Beijing 100045, China
Weiwei Liu: North China Electric Power Research Institute Co, Ltd., Beijing 100045, China

Energies, 2016, vol. 9, issue 3, 1-13

Abstract: Wind power generation reduces our reliance on fossil fuels and can thus reduce environmental pollution. However, rapid wind power development has caused various issues related to power grid restructuring. A high proportion of the generating capacity of northeast China is based on combined heat and power (CHP), whose inflexible response to the peak regulation of power grids hinders the ability to accommodate wind power; thus, wind power curtailment is prevalent. Electric boilers can directly consume the excess wind power to supply heat during low load periods and thus mitigate the heat supply stress of CHP units. Therefore, electric boilers improve the power grid’s ability to accommodate additional wind power. From a regional power grid perspective, this paper discussed the feasibility of such a strategy for increasing the ability to accommodate wind power during the heat supply season. This paper analysed the optimum electric boiler capacity configuration of a regional power grid based on various constraint conditions, such as the heat-power balance, with the objective of maximising the associated social benefits. Using the Beijing-Tianjin-Hebei power grid as an example, the optimum electric boiler capacity of the studied power grid is approximately 1100 MW.

Keywords: wind power accommodation; combined heat and power; electric boiler; optimum capacity (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: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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