DocumentCode :
1578396
Title :
A study on probabilistic optimal reliability criterion determination in composite power system expansion planning
Author :
Choi, Jaeseok ; Thomas, Robert ; Wang, Zhifang ; El-Keib, A. Rahim A ; Billinton, Roy
Author_Institution :
Dept. of Electr. Eng., Gyeongsang Nat. Univ., South Korea
fYear :
2005
Firstpage :
1277
Abstract :
The optimal design of composite power system expansion planning is an important part of the overall planning task of electric power system under competitive electricity market environments. One of main keys of the successful generators and grid expansion planning comes from optimal reliability level/criteria decision, which should be given for constraint in the optimal expansion problem. However, it´s very difficult to decide logically the optimal reliability criteria of a transmission system as well as generation system expansion planning in a society. This paper approaches a methodology for deciding the optimal reliability criteria for an optimal composite power system expansion planning considering generation and transmission systems simultaneously. A probabilistic reliability criterion, LOLER (loss of load expectation), is used in this study. The optimal reliability criterion LOLER* is decided at minimum cost point of total cost curve which is the sum of the utility cost associated with construction cost and the customer outage cost associated with supply interruptions for load considering forced outage rates of elements (generators and lines) in long term forecasting. The characteristics and effectiveness of this methodology are illustrated by the case study using MRBTS size system.
Keywords :
power generation planning; power grids; power markets; power system reliability; power transmission planning; composite power system expansion planning; customer outage cost; electricity market environments; generation system expansion planning; generators planning; grid expansion planning; loss of load expectation; probabilistic optimal reliability criterion determination; transmission system; Business; Constraint theory; Cost function; Electricity supply industry; Load forecasting; Mesh generation; Power generation; Power system planning; Power system reliability; Power systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society General Meeting, 2005. IEEE
Print_ISBN :
0-7803-9157-8
Type :
conf
DOI :
10.1109/PES.2005.1489428
Filename :
1489428
Link To Document :
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