Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Data-driven Convexification for Frequency Nadir Constraint of Unit Commitment

1. State Key Laboratory of Power Systems (Department of Electrical Engineering), Tsinghua University, Beijing 100084, China
2. Electric Power Research Institute, Fujian Electric Power Ltd. Company, Fuzhou 350003, China

Fund Project:

This work was supported in part by the S&T Project of State Grid Corporation of China “Learning based Renewable Cluster Control and Coordinated Dispatch” (No. 5100-202199512A-0-5-ZN).

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    The increasing penetration of the renewable energy sources brings new challenges to the frequency security of power systems. In order to guarantee the system frequency security, frequency constraints are incorporated into unit commitment (UC) models. Due to the non-convex form of the frequency nadir constraint which makes the frequency constrained UC (FCUC) intractable, this letter proposes a revised support vector machine (SVM) based system parameter separating plane method to convexify it. Based on this data-driven convexification method, we obtain a tractable FCUC model which is formulated as a mixed-integer quadratic programming (MIQP) problem. Case studies indicate that the proposed method can obtain less conservative solution than the existing methods with higher efficiency.

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  • Received:November 02,2021
  • Revised:March 21,2022
  • Adopted:
  • Online: September 20,2023
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