Stochastic Generation and Transmission Expansion Planning using Sample Average Approximation
Küçük Resim Yok
Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The issue of modeling and incorporating uncertainty considering tractability in the planning of electrical power systems has become important for planners to maintain a reliable system. In this study, the generation and transmission expansion planning is performed considering the uncertainty in load and wind generation. The sample average approximation (SAA) method is used to obtain deterministic equivalent of stochastic optimization problems in a mixed integer linear programming (MILP) framework. The problem is formulated with a large number of independent samples, each small in size, to reduce computational effort. The results are presented by comparing them with investment decisions made using a single large sample size. It is observed that the presented approach can be used as an alternative in terms of sufficiently operationalizable to produce optimal investment decisions in mathematical programming. © 2023 IEEE.
Açıklama
13th International Symposium on Advanced Topics in Electrical Engineering, ATEE 2023 -- 23 March 2023 through 25 March 2023 -- 188327
Anahtar Kelimeler
generation and transmission expansion planning, sample average approximation, stochastic programming, Electric loads, Electric power system planning, Electric power transmission, Integer programming, Investments, Stochastic systems, Uncertainty analysis, Approximation methods, Deterministic equivalents, Electrical power system, Generation expansion planning, Reliable systems, Sample average approximation, Stochastic generation, Transmission expansion-planning, Uncertainty, Wind generation, Stochastic programming
Kaynak
13th International Symposium on Advanced Topics in Electrical Engineering, ATEE 2023
WoS Q Değeri
Scopus Q Değeri
N/A
