Comprehensive framework for long-term distribution system planning

被引：0
|
作者：
Wong, Steven [1 ]
Bhattacharya, Kankar [1 ]
Fuller, J. David [2 ]
机构：
[1] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON N2L 3G1, Canada
[2] Univ Waterloo, Dept Management Sci, Waterloo, ON N2L 3G1, Canada
来源：
2007 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-10 | 2007年
基金：
加拿大自然科学与工程研究理事会;
关键词：
distribution planning; distributed generation; emissions; optimization;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
System designers typically use intuitive, knowledge based, or heuristic methods in long term distribution planning While there are no faults to this approach, room is left for improvement from an optimization (and cost) perspective. This paper presents a long-term, system based, optimization approach to distribution systems planning for existing system configurations. Applicable to both radial and loop/grid systems, this approach allows substation, feeder, and distributed generation upgrades while accounting for line limits, technology limitations, varying energy prices, environmental (emissions) limits, and zoning restrictions. Constructed as a mixed integer nonlinear programming (MINLP) model, only recent advances in operations research have made solving such a problem even possible. This model is tested on a 9-bus radial system and analytical results are presented.
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页码：1856 / 1862
页数：7
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