Efficient multi-year security constrained ac transmission network expansion planning

被引:12
作者
Das, Soumya [1 ]
Verma, Ashu [2 ]
Bijwe, P. R. [3 ]
机构
[1] Norwegian Univ Sci & Technol, Dept Elect Power Engn, Trondheim, Norway
[2] Indian Inst Technol Delhi, Ctr Energy Studies, New Delhi, India
[3] Indian Inst Technol Delhi, Dept Elect Engn, New Delhi, India
关键词
Transmission network expansion planning; Multi-year planning; Intelligent algorithms; Network security constraints; REACTIVE POWER; SEARCH SPACE; MODEL; ALGORITHM; ELECTRICITY; SOLVE;
D O I
10.1016/j.epsr.2020.106507
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Solution of multi-year, dynamic AC Transmission Network Expansion Planning (TNEP) problem is gradually taking centre stage of planning research owing to its potential accuracy. However, computational burden for a security constrained ACTNEP is huge compared to that with DCTNEP. For a dynamic, security constrained ACTNEP problem, the computational burden becomes so very excessive that solution for even moderately-sized systems becomes almost impossible. Hence, this paper presents an efficient, four-stage solution methodology for multi-year, network N-1 contingency and voltage stability constrained, dynamic ACTNEP problems. In the first three stages of the proposed solution methodology, simpler versions of TNEP are solved. Several intelligent logical strategies are developed from the results of these stages. The developed strategies are then applied to solve multi-year, security constrained ACTNEP in the final stage. This results in substantial reduction in the overall computational burdens of solving the problems. The proposed methodology is applied to Garver 6, IEEE 24, South-Brazilian 46 and IEEE 118 bus systems to demonstrate its efficiency and ability to solve multi-year ACTNEP for varying system sizes.
引用
收藏
页数:12
相关论文
共 41 条
[1]   A linearized formulation of AC multi-year transmission expansion planning: A mixed-integer linear programming approach [J].
Akbari, Tohid ;
Bina, Mohammad Tavakoli .
ELECTRIC POWER SYSTEMS RESEARCH, 2014, 114 :93-100
[2]   A novel meta-heuristic model for the multi-year transmission network expansion planning [J].
Alvarez, R. ;
Rahmann, C. ;
Palma-Behnke, R. ;
Estevez, P. A. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2019, 107 :523-537
[3]   A novel multi-stage adaptive transmission network expansion planning to countermeasure cascading failure occurrence [J].
Armaghani, Saber ;
Naghshbandy, Ali Hesami ;
Shahrtash, S. Mohammad .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2020, 115
[4]   A Coupled Model to Multistage Transmission Expansion Planning [J].
Poubel R.P.B. ;
de Oliveira E.J. ;
de Mello Honório L. ;
de Oliveira L.W. ;
da Silva Junior I.C. .
Journal of Control, Automation and Electrical Systems, 2015, 26 (03) :272-282
[5]  
da Silva EF, 2015, J CONTROL AUTOM ELEC, V26, P57, DOI 10.1007/s40313-014-0154-2
[6]   Security constrained AC transmission network expansion planning [J].
Das, Soumya ;
Verma, Ashu ;
Bijwe, P. R. .
ELECTRIC POWER SYSTEMS RESEARCH, 2019, 172 :277-289
[7]   Transmission network expansion planning using a modified artificial bee colony algorithm [J].
Das, Soumya ;
Verma, Ashu ;
Bijwe, Pradeep R. .
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2017, 27 (09)
[8]   Multi-Stage Stochastic Programming With Nonanticipativity Constraints for Expansion of Combined Power and Natural Gas Systems [J].
Ding, Tao ;
Hu, Yuan ;
Bie, Zhaohong .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (01) :317-328
[9]   Interactive fuzzy satisfying-based HVDC/AC transmission expansion planning considering investment cost and network loss [J].
Doagou-Mojarrad, Hasan ;
Rastegar, Hasan ;
Gharehpetian, Gevork B. .
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2016, 26 (11) :2425-2444
[10]   Dynamic long-term expansion planning of generation resources and electric transmission network in multi-carrier energy systems [J].
Fathtabar, Hamed ;
Barforoushi, Taghi ;
Shahabi, Majid .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2018, 102 :97-109