Optimal Operation for Economic and Exergetic Objectives of a Multiple Energy Carrier System Considering Demand Response Program
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 p...
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doaj-0c4db796302d416db9dd13f6659020ff2020-11-25T02:48:26ZengMDPI AGEnergies1996-10732019-10-011220399510.3390/en12203995en12203995Optimal Operation for Economic and Exergetic Objectives of a Multiple Energy Carrier System Considering Demand Response ProgramYu Huang0Shuqin Li1Peng Ding2Yan Zhang3Kai Yang4Weiting Zhang5Department of Automation, North China Electric Power University, Baoding 071003, ChinaDepartment of Automation, North China Electric Power University, Baoding 071003, ChinaDepartment of Automation, North China Electric Power University, Baoding 071003, ChinaDepartment of Automation, North China Electric Power University, Baoding 071003, ChinaDepartment of Automation, North China Electric Power University, Baoding 071003, ChinaDepartment of Automation, North China Electric Power University, Baoding 071003, ChinaAn 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.https://www.mdpi.com/1996-1073/12/20/3995multiple energy carrier systemε-constraint methodexergyoptimal operationdemand response |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yu Huang Shuqin Li Peng Ding Yan Zhang Kai Yang Weiting Zhang |
spellingShingle |
Yu Huang Shuqin Li Peng Ding Yan Zhang Kai Yang Weiting Zhang Optimal Operation for Economic and Exergetic Objectives of a Multiple Energy Carrier System Considering Demand Response Program Energies multiple energy carrier system ε-constraint method exergy optimal operation demand response |
author_facet |
Yu Huang Shuqin Li Peng Ding Yan Zhang Kai Yang Weiting Zhang |
author_sort |
Yu Huang |
title |
Optimal Operation for Economic and Exergetic Objectives of a Multiple Energy Carrier System Considering Demand Response Program |
title_short |
Optimal Operation for Economic and Exergetic Objectives of a Multiple Energy Carrier System Considering Demand Response Program |
title_full |
Optimal Operation for Economic and Exergetic Objectives of a Multiple Energy Carrier System Considering Demand Response Program |
title_fullStr |
Optimal Operation for Economic and Exergetic Objectives of a Multiple Energy Carrier System Considering Demand Response Program |
title_full_unstemmed |
Optimal Operation for Economic and Exergetic Objectives of a Multiple Energy Carrier System Considering Demand Response Program |
title_sort |
optimal operation for economic and exergetic objectives of a multiple energy carrier system considering demand response program |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2019-10-01 |
description |
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. |
topic |
multiple energy carrier system ε-constraint method exergy optimal operation demand response |
url |
https://www.mdpi.com/1996-1073/12/20/3995 |
work_keys_str_mv |
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