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Advanced methodology for generation expansion planning including interconnected systems

Abstract

This paper reviews advanced methodology for generation expansion planning including interconnected systems developed in Japan, putting focus on flexibility and efficiency in a practical application. First, criteria for evaluating flexibility of generation planning considering uncertainties are introduced. Secondly, the flexible generation mix problem is formulated as a multi-objective optimization with more than two objective functions. The multi-objective optimization problem is then transformed into a single objective problem by using the weighting method, to obtain the Pareto optimal solution, and solved by a dynamics programming technique. Thirdly, a new approach for electric generation expansion planning of interconnected systems is presented, based on the Benders Decomposition technique. That is, large scale generation problem constituted by the general economic load dispatch problem, and several sub problems which are composed of smaller scale isolated system generation expansion plans. Finally, the generation expansion plan solved by an artificial neural network is presented. In conclusion, the advantages and disadvantages of this method from the viewpoint of flexibility and applicability to practical generation expansion planning are presented. (author) 29 refs., 10 figs., 4 tabs.
Authors:
Zhao, M; Yokoyama, R; Yasuda, K; [1]  Sasaki, H; [2]  Ogimoto, K [3] 
  1. Tokyo Metropolitan Univ. (Japan)
  2. Hiroshima Univ. (Japan)
  3. Electric Power Development Co. Ltd., Tokyo (Japan)
Publication Date:
Dec 31, 1994
Product Type:
Conference
Report Number:
ETDE-BR-0028; CONF-9405392-
Reference Number:
SCA: 240000; PA: BR-98:0Y0015; EDB-98:082279; SN: 98001979875
Resource Relation:
Conference: 4. SEPOPE: symposium of specialists in electric operational and expansion planning, 4. SEPOPE: simposio de especialistas em planejamento da operacao e expansao eletrica, Foz do Iguacu (Brazil), 23-27 May 1994; Other Information: PBD: 1994; Related Information: Is Part Of Technical papers presented at the 4. symposium of specialists in electric operational and expansion planning. v. 1; PB: 371 p.; Artigos tecnicos apresentados no 4. simposio de especialistas em planejamento da operacao e expansao eletrica. v. 1
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; JAPAN; ELECTRIC POWER; ELECTRIC POWER INDUSTRY; POWER GENERATION; POWER SYSTEMS; ECONOMIC ANALYSIS; ARTIFICIAL INTELLIGENCE; NEURAL NETWORKS
OSTI ID:
659569
Research Organizations:
Itaipu Binacional, Foz do Iguacu, Puerto Rico (Brazil)); ELETROBRAS, Rio de Janeiro, RJ (Brazil)
Country of Origin:
Brazil
Language:
English
Other Identifying Numbers:
Other: ON: DE98765515; TRN: BR98Y0015
Availability:
OSTI as DE98765515
Submitting Site:
BR
Size:
pp. 45-56
Announcement Date:
Aug 26, 1998

Citation Formats

Zhao, M, Yokoyama, R, Yasuda, K, Sasaki, H, and Ogimoto, K. Advanced methodology for generation expansion planning including interconnected systems. Brazil: N. p., 1994. Web.
Zhao, M, Yokoyama, R, Yasuda, K, Sasaki, H, & Ogimoto, K. Advanced methodology for generation expansion planning including interconnected systems. Brazil.
Zhao, M, Yokoyama, R, Yasuda, K, Sasaki, H, and Ogimoto, K. 1994. "Advanced methodology for generation expansion planning including interconnected systems." Brazil.
@misc{etde_659569,
title = {Advanced methodology for generation expansion planning including interconnected systems}
author = {Zhao, M, Yokoyama, R, Yasuda, K, Sasaki, H, and Ogimoto, K}
abstractNote = {This paper reviews advanced methodology for generation expansion planning including interconnected systems developed in Japan, putting focus on flexibility and efficiency in a practical application. First, criteria for evaluating flexibility of generation planning considering uncertainties are introduced. Secondly, the flexible generation mix problem is formulated as a multi-objective optimization with more than two objective functions. The multi-objective optimization problem is then transformed into a single objective problem by using the weighting method, to obtain the Pareto optimal solution, and solved by a dynamics programming technique. Thirdly, a new approach for electric generation expansion planning of interconnected systems is presented, based on the Benders Decomposition technique. That is, large scale generation problem constituted by the general economic load dispatch problem, and several sub problems which are composed of smaller scale isolated system generation expansion plans. Finally, the generation expansion plan solved by an artificial neural network is presented. In conclusion, the advantages and disadvantages of this method from the viewpoint of flexibility and applicability to practical generation expansion planning are presented. (author) 29 refs., 10 figs., 4 tabs.}
place = {Brazil}
year = {1994}
month = {Dec}
}