Chance and service level constraints for stochastic generation expansion planning

作     者：Lee, Geun-Cheol Hohenrieder, Martin Watson, Jean-Paul Woodruff, David L. 

作者机构：Konkuk Univ Coll Business Adm Seoul South Korea Accenture Zurich Switzerland Sandia Natl Labs Analyt Dept Albuquerque NM 87185 USA Univ Calif Davis Grad Sch Management Davis CA 95616 USA 

出 版 物：《NETNOMICS》 (经济研究和电子网络)

年 卷 期：2015年第16卷第3期

页      面：169-191页

学科分类：02[经济学] 0201[经济学-理论经济学] 

主　　题：Generation expansion Chance constraints Service level thresholds Stochastic mixed-integer programming 

摘      要：We consider the problem of generation expansion planning (GEP) under uncertainty. Existing and planned deployment of demand response mechanisms necessitates extensions of GEP optimization models to minimize planned investment portfolio cost. We propose a combination of service level threshold and chance constraints to abstractly capture the impact of demand response mechanisms in generation expansion planning. We examine the computational properties of solutions from the proposed optimization model using real-world data from South Korea. Our results indicate that the proposed models can be solved to optimality in tractable runtimes, allowing for their use in decision support contexts and avoiding the need for heuristic solution procedures.