Combined Monte Carlo Simulation and OPF to evaluate the market impact of wind energy

Author

Mokryani, Geev ; Siano, Pierluigi ; Piccolo, Antonio

fYear

2012

fDate

1-3 Oct. 2012

Firstpage

1

Lastpage

6

Abstract

In this paper, a probabilistic method to assess the market impact of Wind Turbines (WTs) in distribution systems is proposed. Combined Monte Carlo Simulation (MCS) technique and Optimal Power Flow (OPF) are used to maximize the Social Welfare (SW) considering different combinations of WT generations and load demands over a year. MCS is used to model the uncertainties related to the stochastic nature of wind as well as the volatility of WTs´ offers. The OPF is solved by using Step-Controlled Primal Dual Interior Point Method (SCPDIPM) considering network constraints. The effectiveness of the proposed method is demonstrated with an 83-bus 11.4 kV radial distribution system.

Keywords

Monte Carlo methods; demand side management; load flow control; power distribution control; power generation economics; power markets; wind power; wind power plants; wind turbines; MCS; Market impact evaluation; Monte Carlo simulation; OPF; SCPDIPM; WT generation; Welfare radial distribution system; distribution system; load demand; optimal power flow; probabilistic method; social welfare; step controlled primal dual interior point method; stochastic process; voltage 11.4 kV; wind energy; wind turbine; Monte Carlo Simulation; Optimal Power Flow; Social Welfare maximization; Wind turbines;

fLanguage

English

Publisher

iet

Conference_Titel

Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2012), 8th Mediterranean Conference on

Conference_Location

Cagliari

Electronic_ISBN

978-1-84919-715-1

Type

conf

DOI

10.1049/cp.2012.2022

Filename

6521864