Scholarlink

In the face of increasingly complex international relations, the core algorithm SCUC/SCED in the field of power dispatch, which has long relied on foreign optimization solvers, faces enormous technical risks of being stuck in the neck. There is an urgent need to replace SCUC/SCED with domestic optimization solvers. To achieve unified construction of SCUC/SCED models under different optimization solvers and flexible calling of different solvers, a Python based autonomous and controllable modeling language was proposed, and an SCUC/SCED optimization model was constructed. Based on an actual calculation cases of a provincial power grid, optimization solvers such as COPT, MindOpt, SCIP, GUROBI, CPLEX, etc. were called to solve the problem. The effectiveness of the autonomous controllable modeling language and the convergence, stability, and efficiency of the domestically produced solver were verified, and it was proved that the SCUC/SCED algorithm has the substitute conditions for the domestically produced optimization solver.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

SCUC/SCED Autonomous and Controllable Modeling and Comparative Analysis of Multiple Solvers

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Yantao Zhang,
  • Li Chang,
  • Xianliang Teng,
  • Lizhong Xu,
  • Qiwen Tang,
  • Jili Wang,
  • Wen Wang

摘要

In the face of increasingly complex international relations, the core algorithm SCUC/SCED in the field of power dispatch, which has long relied on foreign optimization solvers, faces enormous technical risks of being stuck in the neck. There is an urgent need to replace SCUC/SCED with domestic optimization solvers. To achieve unified construction of SCUC/SCED models under different optimization solvers and flexible calling of different solvers, a Python based autonomous and controllable modeling language was proposed, and an SCUC/SCED optimization model was constructed. Based on an actual calculation cases of a provincial power grid, optimization solvers such as COPT, MindOpt, SCIP, GUROBI, CPLEX, etc. were called to solve the problem. The effectiveness of the autonomous controllable modeling language and the convergence, stability, and efficiency of the domestically produced solver were verified, and it was proved that the SCUC/SCED algorithm has the substitute conditions for the domestically produced optimization solver.