A Five-Level MILP Model for Flexible Transmission Network Planning Under Uncertainty: A Min-Max Regret Approach

被引:60
作者
Moreira, Alexandre [1 ,2 ]
Strbac, Goran [2 ]
Moreno, Rodrigo [2 ,3 ,4 ]
Street, Alexandre [5 ]
Konstantelos, Ioannis
机构
[1] Imperial Coll London, Dept Elect & Elect Engn, London SW7 2AZ, England
[2] Imperial Coll London, London SW7 2AZ, England
[3] Univ Chile, Dept Elect Engn, Santiago, Chile
[4] Univ Chile, Energy Ctr, Santiago, Chile
[5] Pontifical Catholic Univ Rio De Janeiro, Elect Engn, BR-22430060 Rio De Janeiro, RJ, Brazil
基金
英国工程与自然科学研究理事会;
关键词
Multi-level optimization; network security; power systems economics; transmission expansion planing under uncertainty; ROBUST OPTIMIZATION; EXPANSION; GENERATION; ENERGY; MARKET;
D O I
10.1109/TPWRS.2017.2710637
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];
摘要
The benefits of new transmission investment significantly depend on deployment patterns of renewable electricity generation that are characterized by severe uncertainty. In this context, this paper presents a novel methodology to solve the transmission expansion planning problem under generation expansion uncertainty in a min-max regret fashion, when considering flexible network options and n - 1 security criterion. To do so, we propose a five-level mixed integer linear programming (MILP) based model that comprises: (i) the optimal network investment plan (including phase shifters), (ii) the realization of generation expansion, (iii) the co-optimization of energy and reserves given transmission and generation expansions, (iv) the realization of system outages, and (v) the decision on optimal post-contingency corrective control. In order to solve the five-level model, we present a cutting plane algorithm that ultimately identifies the optimal min-max regret flexible transmission plan in a finite number of steps. The numerical studies carried out demonstrate: (a) the significant benefits associated with flexible network investment options to hedge transmission expansion plans against generation expansion uncertainty and system outages, (b) strategic planning-under-uncertainty uncovers the full benefit of flexible options which may remain undetected under deterministic, perfect information methods, and (c) the computational scalability of the proposed approach.
引用
收藏
页码:486 / 501
页数:16
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