电力系统定碳排运行域:概念与方法OA北大核心CSTPCD

This paper first proposes the concept of committed carbon emission operation regions(CCEOR)to depict the low-carbon operation space(LCOS)of power system,which provides more comprehensive information for low-carbon operation analysis.Then,aiming at the construction of the CCEOR boundary(CCEORB)under the high-dimensional nonlinear spatio-temporal coupling variables of power system,this paper develops a CCEORB construction method based on data and model hybrid driven mechanism.With the feature engineering,neural network architecture based on attention mechanism and deep convolution,and data and model hybrid driven training mechanism,the presented method guarantees the efficiency accuracy of CCEORB.The study with the IEEE-118 test system verifies that the proposed CCEOR can be used as a basic tool for low-carbon operation analysis to achieve low-carbon feasibility assessment and regulation of operating states.Meanwhile,the efficiency and high-dimensional applicability of the proposed method are confirmed.In addition,the variation characteristics of CCEOR with key constraints are visually analyzed,including the boundary characteristics of LCOS and its saturation phenomenon,which further reveal the electric-carbon coupling mechanism of power system operation.