Title :
Combined Monte Carlo Simulation and OPF to evaluate the market impact of wind energy
Author :
Mokryani, Geev ; Siano, Pierluigi ; Piccolo, Antonio
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;
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
DOI :
10.1049/cp.2012.2022
