Optimal Operation for Economic and Exergetic Objectives of a Multiple Energy Carrier System Considering Demand Response Program

Yu Huang, Shuqin Li, Peng Ding, Yan Zhang, Kai Yang and Weiting Zhang
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Yu Huang: Department of Automation, North China Electric Power University, Baoding 071003, China
Shuqin Li: Department of Automation, North China Electric Power University, Baoding 071003, China
Peng Ding: Department of Automation, North China Electric Power University, Baoding 071003, China
Yan Zhang: Department of Automation, North China Electric Power University, Baoding 071003, China
Kai Yang: Department of Automation, North China Electric Power University, Baoding 071003, China
Weiting Zhang: Department of Automation, North China Electric Power University, Baoding 071003, China

Energies, 2019, vol. 12, issue 20, 1-21

Abstract: An MECS (multiple energy carrier system) could meet diverse energy needs owing to the integration of different energy carriers, while the distinction of quality of different energy resources should be taken into account during the operation stage, in addition the economic principle. Hence, in this paper, the concept of exergy is adopted to evaluate each energy carrier, and an economic–exergetic optimal scheduling model is formulated into a mixed integer linear programming (MILP) problem with the implementation of a real-time pricing (RTP)-based demand response (DR) program. Moreover, a multi-objective (MO) operation strategy is applied to this scheduling model, which is divided into two parts. First, the ε-constraint method is employed to cope with the MILP problem to obtain the Pareto front by using the state-of-the-art CPLEX solver under the General Algebraic Modeling System (GAMS) environment. Then, a preferred solution selection strategy is introduced to make a trade-off between the economic and exergetic objectives. A test system is investigated on a typical summer day, and the optimal dispatch results are compared to validate the effectiveness of the proposed model and MO operation strategy with and without DR. It is concluded that the MECS operator could more rationally allocate different energy carriers and decrease energy cost and exergy input simultaneously with the consideration of the DR scheme.

Keywords: multiple energy carrier system; ?-constraint method; exergy; optimal operation; demand response (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 (5)

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