Some Optimization Models and Techniques for Electric Power System Short‐term Operations
Andy X. Sun, Dzung T. Phan
Abstract
Andy X. Sun, Dzung T. Phan
Abstract
Abstract This article introduces modern optimization models and solution methods for two fundamental decision‐making problems in electric power system short‐term operations, namely the optimal power flow (OPF) problem and the unit commitment (UC) problem. This article reviews basic formulations and surveys some of the most recent advances, including global optimization techniques for exact solution of the OPF problem, adaptive robust optimization models for the UC problem under uncertainty of renewable generation and demand‐side response, contingency analysis for large‐scale power systems, and distributed optimization schemes for decentralized operation.
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Abstract This article introduces modern optimization models and solution methods for two fundamental decision‐making problems in electric power system short‐term operations, namely the optimal power flow (OPF) problem and the unit commitment (UC) problem. This article reviews basic formulations and surveys some of the most recent advances, including global optimization techniques for exact solution of the OPF problem, adaptive robust optimization models for the UC problem under uncertainty of renewable generation and demand‐side response, contingency analysis for large‐scale power systems, and distributed optimization schemes for decentralized operation.
Key concepts: Electric power system, Term (time), Computer science, Contingency, Mathematical optimization, Power flow, Optimization problem, Power system simulation