Optimal proportion of wind and PV capacity in provincial power systems based on bilevel optimization algorithm under low-carbon economy
作者机构：College of Energy and Electrical EngineeringHohai UniversityNanjing 211100China College of Electrical EngineeringNantong UniversityNantong 226019China China Electrical Power Research InstituteBeijing 100192China Suzhou Power Supply CompanyState Grid Corporation of ChinaSuzhou 215004China
出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)
年 卷 期：2015年第3卷第1期
页 面：33-40页
核心收录：
学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：This work is jointly supported by the research and application of evaluation of priority dispatching of wind/PV generation in multi-levels,State Grid Corporation of China(No.NY71-14-038) Jiangsu Provincial Graduate Education Innovation Project(No.KYLX_0431) the Fundamental Research Funds for the Central Universities(No.2014B33314) National Nature Science Foundation of China(No.51407097)
主 题：Time-sequence production simulation Optimal proportion of renewable energy Pattern search method General algebraic modeling system
摘 要：In order to boost contributions of power systems to a low-carbon economy,the installed capacity of renewable power generation,such as wind and photovoltaic(PV)power generation should be well planned.A bilevel formulation is presented to optimize the proportion of wind and PV capacity in provincial power systems,in which,carbon emissions of generator units and features of renewable resources are taken into *** the lowerlevel formulation,a time-sequence production simulation(TSPS)model that is suitable for actual power system has been *** order to maximize benefits of energy conservation and emissions reduction resulting from renewable power generation,the commercial software called General Algebraic Modeling System(GAMS)is employed to optimize the annual operation of the power *** the upper-level formulation,the optimal pattern search(OPS)algorithm is utilized to optimize the proportion of wind and PV *** objective of the upper-level formulation is to maximize benefits of energy conservation and carbon emissions reductions optimized in the lowerlevel *** results in practical provincial power systems validate the proposed model and corresponding solving *** optimization results can provide support to policy makers to make the polices related to renewable energy.
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