A Dispatching Method for Integrated Energy System Based on Dynamic Time-interval of Model Predictive Control

doi:10.35833/MPCE.2019.000234

Home > Archive>Volume 8, Issue 5, 2020 >841-852. DOI:10.35833/MPCE.2019.000234

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A Dispatching Method for Integrated Energy System Based on Dynamic Time-interval of Model Predictive Control

DOI:

10.35833/MPCE.2019.000234

Author:

Xun Dou
Xun Dou
College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China
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Jun Wang
Jun Wang
College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China
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Zhen Wang
Zhen Wang
College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China
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Lijuan Li
Lijuan Li
College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China
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Linquan Bai
Linquan Bai
Department of Systems Engineering and Engineering Management, University of North Carolina at Charlotte, Charlotte, USA
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Shuhui Ren
Shuhui Ren
College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China
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Min Gao
Min Gao
Falcon Computing Solutions, 10880 Wilshire Blvd Suite 1132, Los Angeles, CA 90024, USA
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This work was supported in part by National Key R&D Program of China (No. 2018YFB0905000)， National Natural Science Foundation of China (No. 61873121) and Science and Technology Project of State Grid Corporation of China (No. SGTJDK00DWJS1800232).

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Abstract:

In integrated energy systems (IESs), traditional fixed time-interval dispatching scheme is unable to adapt to the need of dynamic properties of the transient network, demand response characteristics, dispatching time scales in energy sub-systems and renewable power uncertainties. This scheme may easily result in uneconomic source-grid-load-storage operations in IES. In this paper, we propose a dispatching method for IES based on dynamic time-interval of model predictive control (MPC). We firstly build models for energy sub-systems and multi-energy loads in the power-gas-heat IES. Then, we develop an innovative optimization method leveraging trajectory deviation control, energy control, and cost control frameworks in MPC to handle the requirements and constraints over the time-interval of dispatching. Finally, a dynamic programming algorithm is introduced to efficiently solve the proposed method. Experiments and simulation results prove the effectiveness of the method.

Key words:Dispatching scheme ; dynamic time-interval ; integrated energy system ; model predictive control.

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Received:December 27,2019
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Online: September 29,2020
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