Active Dynamic Aggregation Model for Distributed Integrated Energy System as Virtual Power Plant

doi:10.35833/MPCE.2020.000202

Home > Archive>Volume 8, Issue 5, 2020 >831-840. DOI:10.35833/MPCE.2020.000202

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Active Dynamic Aggregation Model for Distributed Integrated Energy System as Virtual Power Plant

DOI:

10.35833/MPCE.2020.000202

Author:

Haotian Zhao
Haotian Zhao
State Key Laboratory of Control and Simulation of Power System and Generation Equipments, Department of Electrical Engineering, Tsinghua University, Beijing, China
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Bin Wang
Bin Wang
State Key Laboratory of Control and Simulation of Power System and Generation Equipments, Department of Electrical Engineering, Tsinghua University, Beijing, China
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Xuanyuan Wang
Xuanyuan Wang
State Grid Jibei Electric Power Co., Ltd., Beijing, China
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Zhaoguang Pan
Zhaoguang Pan
State Key Laboratory of Control and Simulation of Power System and Generation Equipments, Department of Electrical Engineering, Tsinghua University, Beijing, China
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Hongbin Sun
Hongbin Sun
State Key Laboratory of Control and Simulation of Power System and Generation Equipments, Department of Electrical Engineering, Tsinghua University, Beijing, China
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Zhen Liu
Zhen Liu
State Grid Jibei Electric Power Co., Ltd., Beijing, China
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Qinglai Guo
Qinglai Guo
State Key Laboratory of Control and Simulation of Power System and Generation Equipments, Department of Electrical Engineering, Tsinghua University, Beijing, China
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Affiliation:

Fund Project:

This work was supported by the Science and Technology Project of State Grid Corporation of China (No. 52010119000Q).

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Abstract:

Distributed integrated multi-energy systems (DIMSs) can be regarded as virtual power plants to provide additional flexibility to the power system. This paper proposes a robust active dynamic aggregation model for the DIMSs to describe the maximum feasible region. The aggregation model includes the power constraints, energy constraints, and ramping constraints to aggregate different types of resources in the DIMSs. The proposed generator-like and storage-like model does not depend on the ancillary service market and can be directly incorporated into the economic dispatch model of the power system. A novel algorithm based on the column-and-constraint generation algorithm and convex-concave procedure is proposed to solve the two-stage robust optimization problem, which is more efficient than the KKT-based algorithms. Finally, a case study of an actual DIMS is developed to demonstrate the effectiveness of the proposed model.

Key words:Aggregation ; distributed integrated energy system (DIMS) ; robust optimization ; virtual power plant

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Received:March 31,2020
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Online: September 29,2020
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