DocumentCode
3472047
Title
Transmission surplus capacity based power transmission expansion planning using Chaos optimization Algorithm
Author
Qu, Gang ; Cheng, Haozhong ; Yao, Liangzhong ; Ma, Zeliang ; Zhu, Zhonglie ; Wang, Xiaohui ; Lu, Jianzhong
Author_Institution
Dept of Electr. Eng., Shanghai Jiao Tong Univ., Shanghai
fYear
2008
fDate
6-9 April 2008
Firstpage
1446
Lastpage
1452
Abstract
A novel power transmission expansion planning model and its application algorithm which considers the transmission surplus capacity and load factor of the transmission line is presented. In traditional transmission expansion planning, some transmission lines will run at a high load factor due to ignore the load level of transmission lines. This may lead to congestion in network and degrade dispatch flexibility. Such a planning process has put more emphasis on investment optimization than other aspects. This paper describes new objectives which aim to get the best distribution of branch load factors together with minimizing the investment simultaneously. Chaos Optimal Algorithm (COA) is introduced and used to solve transmission expansion planning problem due to its stochastic and ergodic characteristics. Its effectiveness of the proposed model and methodology are tested in two typical systems.
Keywords
load dispatching; matrix algebra; optimisation; power factor; power transmission planning; branch load factors; chaos optimization algorithm; ergodic characteristics; load factor; power transmission expansion planning; stochastic characteristics; transmission surplus capacity; Capacity planning; Chaos; Cost function; Investments; Power engineering and energy; Power system planning; Power system security; Power transmission; Power transmission lines; Process planning; Capacity cost function; chaos optimal algorithm; load factor; power transmission system planning; transmission expansion planning; transmission surplus capacity;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location
Nanjuing
Print_ISBN
978-7-900714-13-8
Electronic_ISBN
978-7-900714-13-8
Type
conf
DOI
10.1109/DRPT.2008.4523633
Filename
4523633
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