Assessing Wind Turbines Placement in a Distribution Market Environment by Using Particle Swarm Optimization

Author

Siano, Pierluigi ; Mokryani, Geev

Author_Institution

Dept. of Ind. Eng., Univ. of Salerno, Fisciano, Italy

Volume

28

Issue

4

fYear

2013

fDate

Nov. 2013

Firstpage

3852

Lastpage

3864

Abstract

A hybrid optimization method for optimal allocation of wind turbines (WTs) that combines particle swarm optimization (PSO) and market-based optimal power flow (OPF) with security constraints is proposed in this paper. The method maximizes the net present value (NPV) associated with WTs investment in a distribution market environment. The PSO is used to choose the optimal size while the market-based OPF to determine the optimal number of WTs at each candidate bus. The stochastic nature of both load demand and wind power generation is modeled by hourly time series analysis considering different combinations of wind generation and load demand. The effectiveness of the method is demonstrated with an 84-bus 11.4-kV radial distribution system.

Keywords

distribution networks; load flow; particle swarm optimisation; power system security; time series; wind turbines; NPV; OPF; PSO; WT; distribution market environment; hourly time series analysis; hybrid optimization method; load demand; market-based optimal power flow; net present value; particle swarm optimization; radial distribution system; security constraints; wind generation; wind turbines placement assessment; Load modeling; Particle swarm optimization; Wind power generation; Wind turbines; Distribution network operator acquisition market; locational marginal prices; net present value (NPV); particle swarm optimization (PSO); social welfare maximization; wind turbines (WTs);

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/TPWRS.2013.2273567

Filename

6575177