A Model for Wind Turbines Placement Within a Distribution Network Acquisition Market

Author

Lamaina, Pietro ; Sarno, Debora ; Siano, Pierluigi ; Zakariazadeh, Alireza ; Romano, Roberto

Author_Institution

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

Volume

11

Issue

1

fYear

2015

fDate

Feb. 2015

Firstpage

210

Lastpage

219

Abstract

This paper proposes an innovative exhaustive search method for the optimal placement of wind turbines (WTs) in electrical distribution systems taking into account wind speed and load demand uncertainty, and the variability of electrical energy prices within a distribution network operator (DNO) acquisition market environment. The method combines Monte Carlo simulation (MCS) and market-based optimal power flow (OPF) to maximize the net present value (NPV) related to the investment made by WTs´ developers over a planning horizon. In particular, the MCS data feed the market-based OPF problem with inter-temporal constraints in order to find the most convenient WTs allocation and priority on the network, based on distribution-locational marginal prices (D-LMPs) in a competitive electricity market. The effectiveness of the proposed method is demonstrated with an 84-bus 11.4-kV radial distribution system.

Keywords

Monte Carlo methods; distribution networks; power markets; search problems; wind turbines; DNO acquisition market environment; MCS; Monte Carlo simulation; NPV; OPF; competitive electricity market; distribution network acquisition market; distribution network operator; distribution-locational marginal prices; electrical distribution systems; electrical energy prices; innovative exhaustive search method; load demand uncertainty; market-based optimal power flow; net present value; wind speed; wind turbines placement; Generators; Investment; Load modeling; Planning; Resource management; Stochastic processes; Wind speed; Distribution-locational marginal prices (D-LMPs); distribution network; optimal power flow (OPF); power system planning; social welfare (SW); wind turbines (WTs);

fLanguage

English

Journal_Title

Industrial Informatics, IEEE Transactions on

Publisher

ieee

ISSN

1551-3203

Type

jour

DOI

10.1109/TII.2014.2346993

Filename

6876174