A multi-attribute congestion-driven approach for evaluation of power generation plans

作者：Salehizadeh Mohammad Reza^*; Rahimi Kian Ashkan; Oloomi Buygi Majid

来源：International Transactions on Electrical Energy Systems, 2015, 25(3): 482-497.

DOI：10.1002/etep.1861

• power generation plans
• transmission congestion management
• conjunctive method
• CCR-DEA
• TOPSIS

Independent System Operator (ISO) needs to draw sufficient attention to transmission congestion management (TCM) for guaranteeing power system security when deciding about a proposed power generation plan (PGP). To this end, this paper proposes a multi-attribute decision-making approach. The proposed decision-making procedure for a considered PGP includes three major stages: (1) Obtaining different attributes of TCM for all considered scenarios, i.e. the normal operating case and contingencies due to outage of power system components before and after implementation of the PGP. (2) Identifying the effective scenarios before and after the implementation of the PGP. For this purpose, two multi-attribute decision-making approaches are applied, one of which ISO could adopt based on its managerial point of view: (a) A conjunctive approach in which scenarios meeting minimal predefined thresholds for their obtained TCM attributes are selected. (b) A pessimistic approach based on data envelopment analysis introduced by Charnes, Cooper, and Rhodes (CCR-DEA) in which the severest scenarios are selected. 3) Calculating each scenario's Degree of Severity (DOS) using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and comparing sum of the DOS of the effective scenarios before and after the implementation of the PGP. For an acceptable PGP, sum of effective scenarios' DOS after implementation of the PGP should be less than that of before. The proposed procedure is applied to the IEEE Reliability Test System (RTS) and the results are analyzed.

• 出版日期2015-3