|
|
Analysis of UHVDC System Connecting to Fujian Province based on LCC and CVaR |
Qiu Hang1,2,Wu Wenxuan3,Wang Daguang4,Cai Jinding1 |
1. College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350002; 2. Technology Center of Fujian Electric Power Co., Ltd, Fuzhou 350007; 3. Fujian Electric Power Co., Ltd., Fuzhou 350001; 4. Electric Power Reserch Institute of Fujian Electric Power Co., Ltd, Fuzhou 350007 |
|
|
Abstract In order to quantify the investment risk of UHVDC system, take into account both input costs and output efficiency of this transmission project. Base on the theory of LCC, the model is established by taking into consideration the investment cost, operation cost which contained the running wear of line and transformer, maintenance cost, fault cost and put forward an estimation equation for disposal cost, on the basis the cost structurally decompose into the device layer, the system layer and the cost of the surroundings, the concept of regional layer costs is presented by considering of the influence on UHVDC system, like DC bias and commutation failures caused by accidents of AC system, so as to build more comprehensive LCC model. And then calculate integrated benefit from the angle of brand value, sales revenue, cutting down carbon intensity and estimate the yield rate in 60 years. By using of CVaR, combining with the Monte Carlo method so as to quantify the risk of UHVDC system and predict the maximum loss with 95% and 99% confidence level aiming at further deepening the investment management of UHVDC system. Put some advice on the plan of time and space for it to connect to Fujian province.
|
Published: 19 May 2015
|
|
|
|
Cite this article: |
Qiu Hang,Wu Wenxuan,Wang Daguang等. Analysis of UHVDC System Connecting to Fujian Province based on LCC and CVaR[J]. Electrical Engineering, 2015, 16(05): 1-5.
|
|
|
|
URL: |
http://dqjs.cesmedia.cn/EN/Y2015/V16/I05/1
|
[1] 国务院. 国务院关于支持福建省加快建设海峡西岸经济区的若干意见[Z]. 北京, 2009. [2] 福建省发展和改革委员会. 福建省“十二五”能源发展专项规划[Z]. 福州, 2011.5. [3] 刘振亚. 特高压交直流电网[M]. 北京:中国电力出版社,2013. [4] 张建平, 李喜兰, 王大光, 等. 海西低碳电力发展探讨[J]. 电力与电工, 2013 (4). [5] HINOW M, MEVISSEN M. Substation maintenance strategy adaptation for life-cycle cost reduction using genetic algorithm [J]. IEEE Trans on Power System, 2005, 20(1): 206-212. [6] Rockafellar R T, Uryasev S. Optimization of Conditional Value at risk [J]. Journal of Risk, 2000,(2). [7] 乔瑞. 风险价值 VAR[M]. 北京: 中信出版社, 2005. [8] 柳璐,王和杰,程浩忠,等. 基于全寿命周期成本的电力系统经济性评估方法[J].电力系统自动化,2012,36(15):45-50. [9] 王健. 基于全寿命周期的银城铺变电站改造工程造价成本管理[D].北京:华北电力大学,2010. [10] 张文亮,周孝信等. ±1 000 kV 高压直流在我国电网应用的可行性研究[J].中国电机工程学报,2007,27(28):1-5. [11] 杨镝,张焰,祝达康. 特高压直流输电系统可靠性评估方法[J].现代电力,2011,28(4):1-6. |
|
|
|