Multistage robust unit commitment(MRUC)is an important decision-making problem in power system operations.The affine policy facilitates problem-solving,but it compromises flexibility.This letter proposes a partially a...Multistage robust unit commitment(MRUC)is an important decision-making problem in power system operations.The affine policy facilitates problem-solving,but it compromises flexibility.This letter proposes a partially affine policy for MRU C problem with fast-ramping units;this policy imposes affine relations to coupling variables only and leaves the remaining variables to be optimized in the real-time dispatch.As a result,the real-time flexibility of fast-ramping units is retained.By adopting this approach,MRU C with a partially affine policy becomes a special two-stage adaptive robust optimization problem.Numerical tests verify that the proposed partially affine policy significantly reduces the conservativeness compared with affine policy,improving the dispatch economy and flexibility.展开更多
基金supported in part by the Postdoctoral Fellowship Program of CPSF under Grant Number GZB20240105in part by the China Postdoctoral Science Foundation under Grant Number 2024M750349in part by the National Natural Science Foundation of China under Grant Number 52407084.
文摘Multistage robust unit commitment(MRUC)is an important decision-making problem in power system operations.The affine policy facilitates problem-solving,but it compromises flexibility.This letter proposes a partially affine policy for MRU C problem with fast-ramping units;this policy imposes affine relations to coupling variables only and leaves the remaining variables to be optimized in the real-time dispatch.As a result,the real-time flexibility of fast-ramping units is retained.By adopting this approach,MRU C with a partially affine policy becomes a special two-stage adaptive robust optimization problem.Numerical tests verify that the proposed partially affine policy significantly reduces the conservativeness compared with affine policy,improving the dispatch economy and flexibility.
