Please use this identifier to cite or link to this item:
Title: A chance-constrained programming approach to determine requirement of optimal spinning reserve capacity
Other Titles: 基于机会约束规划的最优旋转备用容量确定
Authors: Wang, L
Yu, CW
Wen, FS
Keywords: Electricity market
Pinning reserve
Chance-constrained programming
Genetic algorithm
Monte Carlo simulation
Issue Date: 2006
Publisher: 中國學術期刊(光盤版)電子雜誌社
Source: 電網技術 (Power system technology), Oct. 2006, v. 30, no. 20, p. 14-19 How to cite?
Journal: 電網技術 (Power system technology) 
Abstract: 在机会约束规划的框架下,研究了在兼顾系统运行的可靠性和经济性时,如何考虑发电机组的故障停运和负荷预测误差等不确定性因素,以便确定系统所需的最优旋转备用容量。在以最小化旋转备用的购买成本为目标、以系统的安全性要求为机会约束的条件下,构造了确定系统所需的最优旋转备用容量的数学模型,并采用基于蒙特卡洛仿真的遗传算法进行求解。最后以包含18台机组的电力系统为例对所提出的模型与方法进行了说明。
Under the premise of chance-constrained programming,when the consideration to reliability and economy of system operation should be given,how to consider the uncertainty factors such as the fault outage of generators and the error of load forecasting is researched so as to determine the optimal spinning reserve capacity that power system requires.Taking the purchase cost of minimized spinning reserve as objective as well as the secure requirement of power system as chance-constraint,a mathematical model to determine optimal spinning reserve capacity required by power system is constructed,and Monte Carlo simulation based genetic algorithm is adopted to solve the constructed model.Taking a power system containing 18 generating units for example the proposed model is illustrated. 还原
ISSN: 1000-3673
DOI: 10.13335/j.1000-3673.pst.2006.20.004
Rights: © 2006 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。
© 2006 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research purposes.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
r34012.pdf312.15 kBAdobe PDFView/Open
View full-text via PolyU eLinks SFX Query
Show full item record
PIRA download icon_1.1View/Download Contents

Page view(s)

Last Week
Last month
Citations as of Dec 17, 2018


Citations as of Dec 17, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.