Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Coordinated Dispatch Based on Distributed Robust Optimization for Interconnected Urban Integrated Energy and Transmission Systems

School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China

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This work was supported by the Science and Technology Project of State Grid Corporation of China (No. 5108-202299259A-1-0-ZB).

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    To improve the economic efficiency of urban integrated energy systems (UIESs) and mitigate day-ahead dispatch uncertainty, this paper presents an interconnected UIES and transmission system (TS) model based on distributed robust optimization. First, interconnections are established between a TS and multiple UIESs, as well as among different UIESs, each incorporating multiple energy forms. The Bregman alternating direction method with multipliers (BADMM) is then applied to multi-block problems, ensuring the privacy of each energy system operator (ESO). Second, robust optimization based on wind probability distribution information is implemented for each ESO to address dispatch uncertainty. The column and constraint generation (C&CG) algorithm is then employed to solve the robust model. Third, to tackle the convergence and practicability issues overlooked in the existing studies, an external C&CG with an internal BADMM and corresponding acceleration strategy is devised. Finally, numerical results demonstrate that the adoption of the proposed model and method for absorbing wind power and managing its uncertainty results in economic benefits.

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  • Received:May 04,2023
  • Revised:July 31,2023
  • Adopted:
  • Online: May 20,2024
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