A low-carbon economic dispatch model for electricity market with wind power based on improved ant-lion optimisation algorithm
作者机构：School of ElectronicElectrical Engineering and PhysicsFujian University of TechnologyFuzhouChina Department of Computing SciencesCollege at BrockportState University of New YorkBrockportNew YorkUSA Department of Human ResourceFuzhou Technology and Business UniversityFuzhouChina
出 版 物：《CAAI Transactions on Intelligence Technology》 (智能技术学报（英文）)
年 卷 期：2023年第8卷第1期
页 面：29-39页
核心收录：
学科分类：0202[经济学-应用经济学] 02[经济学] 020205[经济学-产业经济学]
基 金：National Natural Science Foundation of China Grant/Award Number:51677059
主 题：ant-lion optimisation algorithm carbon trading Levi flight low-carbon economic dispatch wind power market
摘 要：Introducing carbon trading into electricity market can convert carbon dioxide into schedulable resources with economic ***,the randomness of wind power generation puts forward higher requirements for electricity market ***,the carbon trading market is introduced into the wind power market,and a new form of low-carbon economic dispatch model is ***,the economic dispatch goal of wind power is be *** is projected to save money and reduce the cost of power generation for the *** model includes risk operating costs to account for the impact of wind power output variability on the system,as well as wind farm negative efficiency operating costs to account for the loss caused by wind *** model also employs carbon trading market metrics to achieve the goal of lowering system carbon emissions,and analyze the impact of different carbon trading prices on the system.A low-carbon economic dispatch model for the wind power market is implemented based on the following two ***,the solution is optimised using the Ant-lion optimisation method,which combines Levi s flight mechanism and golden *** proposed model and algorithm s rationality is proven through the use of cases.
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