Year: 2015
Type: conference-paper
Abstract: Taking the multiple uncertainties commonly existing in electrical power networks including wind farms into consideration, this paper introduces the uncertain programming theory to convert the uncertainties of wind power and load to those of their forecast errors.Making utilization of fuzzy variable and random variable, the different characteristics of wind power and load are expressed respectively to establish a novel hybrid chance-constrained unit commitment model.In order to solve the established model, a hybrid-simulation evolutionary algorithm is proposed and is applied to the following simplified test system.The validity and effectiveness of the proposed hybrid chance-constrained unit commitment model are demonstrated by the simulation results and analysis.
Authors: Siqing Sheng, Li Zhang
Institution: North China Electric Power University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2182244815