Transmission network expansion planning considering load correlation using unscented transformation

被引：20
|
作者：
Abbasi, Shahriar [1 ]
Abdi, Hamdi [1 ]
Bruno, Sergio [2 ]
La Scala, Massimo [2 ]
机构：
[1] Razi Univ, Fac Engn, Elect Engn Dept, Kermanshah, Iran
[2] Polytech Univ Bari, Dept Elect & Informat Engn DEI, Bari, Italy
来源：
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2018年 / 103卷
关键词：
Transmission network expansion planning; Load uncertainty; Load correlation; NSGA II; Unscented transformation; POWER-SYSTEMS; ELECTRICITY MARKETS; WIND FARMS; FLOW; ALGORITHM; MODEL;
D O I：
10.1016/j.ijepes.2018.05.024
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：
In this paper, correlation between uncertainties related to loads is addressed in transmission network expansion planning (TNEP). The TNEP problem is formulated in a multi-objective form with objective functions of minimum investment cost, minimum congestion cost, and minimum risk cost. Load correlation is modeled using unscented transformation method and compared to a simulation method. Initially, the impact of load correlation on congestion cost and risk cost is shown. Then, using the Pareto solutions of this multi-objective TNEP problem, impact of load correlation on the TNEP solutions is illustrated. The Pareto solutions are obtained using the Non-dominated Sorting Genetic Algorithm II (NSGA II) that is capable in handling non-convex and non-linear problems with mixed integer structures. Test results are provided for the IEEE 24-bus Reliability Test System (RTS) and a representation of the actual Iranian 400 kV transmission network.
引用
收藏
页码：12 / 20
页数：9
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