Open AccessIdentification of prospective locations for generation expansion with least augmentation of network
Author(s) -
Surendra S.,
Thukaram Dhadbanjan
Publication year - 2013
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2012.0211
Subject(s) - reliability (semiconductor) , margin (machine learning) , computer science , reliability engineering , transmission (telecommunications) , plan (archaeology) , identification (biology) , transmission system , transmission network , order (exchange) , operations research , capacity planning , engineering , telecommunications , business , botany , biology , power (physics) , physics , archaeology , finance , quantum mechanics , machine learning , history , operating system
With ever increasing demand for electric energy, additional generation and associated transmission facilities has to be planned and executed. In order to augment existing transmission facilities, proper planning and selective decisions are to be made whereas keeping in mind the interests of several parties who are directly or indirectly involved. Common trend is to plan optimal generation expansion over the planning period in order to meet the projected demand with minimum cost capacity addition along with a pre‐specified reliability margin. Generation expansion at certain locations need new transmission network which involves serious problems such as getting right of way, environmental clearance etc. In this study, an approach to the citing of additional generation facilities in a given system with minimum or no expansion in the transmission facility is attempted using the network connectivity and the concept of electrical distance for projected load demand. The proposed approach is suitable for large interconnected systems with multiple utilities. Sample illustration on real life system is presented in order to show how this approach improves the overall performance on the operation of the system with specified performance parameters.