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
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;
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
DOI :
10.1109/DRPT.2008.4523633