Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Path-aware Market Clearing Model for Inter-regional Electricity Market via Redundancy Elimination
Author:
Affiliation:

1.Key Laboratory of Control of Power Transmission and Conversion (Ministry of Education), and Shanghai Non-Carbon Energy Conversion and Utilization Institute, Shanghai Jiao Tong University, Shanghai200240, China;2.China Electric Power Research Institute, Nanjing210037, China

Fund Project:

This work was supported by the State Grid Corporation of China project “Research on Optimal Modeling and Fast Solution Technology of Inter-provincial Medium and Long Term Transactions Supporting Clearing with Inter-period Coupling” (No. 5100-202255381A-2-0-ZN).

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    Abstract:

    The inter-regional electricity market is instrumental in enhancing the economic efficiency, reliability, and integration of renewable generation within interconnected power systems. As the market boundary expands, the complexity and solution difficulties of market clearing increase rapidly. The presence of hybrid alternating current (AC)/direct current (DC) interconnector networks further compounds challenges in modeling trading paths and transmission tariffs. To address these issues, this paper proposes a path-aware market-clearing (PAMC) model tailored for the inter-regional electricity market, which accommodates the hybrid AC/DC interconnector network. A variable aggregation strategy is proposed to reduce the problem scale while ensuring equivalent optimality. In addition, a novel redundancy elimination method is developed to expedite the solution of the market-clearing problem. This framework utilizes envelope approximations of residual demand curves to identify bidding blocks that will not affect the marginal price. Corresponding decision variables are then constrained to their bounds to remove redundant information. Comprehensive case studies across different power system scales validate the superiority of the proposed PAMC model in improving social welfare, and verify the effectiveness of the proposed redundancy elimination method in accelerating the solution of the market-clearing problem.

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History
  • Received:December 05,2023
  • Revised:March 20,2024
  • Adopted:
  • Online: December 20,2024
  • Published: