Co-optimizing ancillary raise and lower services

被引:0
|
作者
Chand, P. [1 ]
Sugianto, L. F. [1 ]
机构
[1] Monash Univ, Fac Informat Technol, Sch Business Syst, Clayton, Vic 3800, Australia
来源
TENCON 2005 - 2005 IEEE REGION 10 CONFERENCE, VOLS 1-5 | 2006年
基金
澳大利亚研究理事会;
关键词
cost optimal control; management information systems; modeling; power generation dispatch; power system economics; programming;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes an innovative approach of co-optimizing the energy and ancillary raise and lower services markets in the Australian National Electricity Market. A heuristic based technique called Horizon Scan [1], [2] is applied as the optimization procedure to find optimal solution for the problem. Horizon Scan is a heuristic based technique to search for optimal solution in a non-linear solution space. The paper is an extension to work that has been originally presented [3] and [7]. It includes a case study depicting simplified two region market model. Optimal schedules resulting in economical dispatch costs are obtained when Horizon Scan is applied to optimize trading between multi-regions with inter-connectors. Linear and non- linear constraint equations are also included in the model to take into account dynamics of the power system.
引用
收藏
页码:1262 / 1266
页数:5
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