| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6859062 | International Journal of Electrical Power & Energy Systems | 2018 | 9 Pages |
Abstract
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 400â¯kV transmission network.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Shahriar Abbasi, Hamdi Abdi, Sergio Bruno, Massimo La Scala,