Multi-Objective Load Dispatch Control of Biomass Heat and Power Cogeneration Based on Economic Model Predictive Control

Lianming Li, Defeng He, Jianrong Jin, Baoyun Yu and Xiang Gao
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Lianming Li: State Key Lab of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, China
Defeng He: College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China
Jianrong Jin: Jiaxing New Jies Heat & Power Co., Ltd., Jiaxing 314016, China
Baoyun Yu: Jiaxing New Jies Heat & Power Co., Ltd., Jiaxing 314016, China
Xiang Gao: State Key Lab of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, China

Energies, 2021, vol. 14, issue 3, 1-13

Abstract: This paper proposes a multi-objective load dispatch algorithm based on economic predictive control to solve the real-time multi-objective load dispatch problem of biomass heat and power cogeneration. According to the energy conservation law and production process, a real-time multi-objective load dispatch optimization model for heat and power units is established. Then, the concept of multi-objective utopia points is introduced, and the multi-objective load comprehensive objective function is defined to coordinate the conflict between the economic performance and pollutant emission performance of the units. Furthermore, using the online receding optimization characteristics of economic predictive control, the comprehensive objective function of multi-objective load dispatching is optimized online. Then, the fuel rate satisfying the economic performance and pollutant emission performance of the units is calculated to realize the economic performance and environmental protection operation of biomass heat and power cogeneration. Finally, the proposed multi-objective load dispatch control method is compared to traditional dispatch strategies by using industrial data. The results show that the method presented here can well balance the production cost and pollutant emission objective under the fluctuation of the thermoelectric load demand, and provides a feasible scheme for real-time dispatching of the multi-objective load dispatch problem of biomass heat and power cogeneration.

Keywords: biomass heat and power cogeneration; multi-objective load dispatch; economy; pollutant emission; economic model predictive control (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: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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