Optimal placement of wind turbines in a wind park using Monte Carlo simulation

This paper defines a new procedure for optimising wind farm turbine placement by means of Monte Carlo simulation method. To verify the algorithm’s accuracy, an experimental wind farm was tested in a wind tunnel. On the basis of experimental measurements, the error on wind farm power output was less than 4%. The optimization maximises the energy production criterion; wind turbines’ ground positions were used as independent variables. Moreover, the mathematical model takes into account annual wind intensities and directions and wind turbine interaction. The optimization of a wind farm on a real site was carried out using measured wind data, dominant wind direction, and intensity data as inputs to run the Monte Carlo simulations. There were 30 turbines in the wind park, each rated at 20 kW. This choice was based on wind farm economics. The site was proportionally divided into 100 square cells, taking into account a minimum windward and crosswind distance between the turbines. The results highlight that the dominant wind intensity factor tends to overestimate the annual energy production by about 8%. Thus, the proposed method leads to a more precise annual energy evaluation and to a more optimal placement of the wind turbines.

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Choose Suitable Wind Turbines for Manjil Wind Power Plant Using Monte Carlo Simulation

International Journal of Computer Applications ◽

10.5120/1912-2550 ◽

2011 ◽

Vol 15 (1) ◽

pp. 26-34

Author(s):

Saeid Nahi ◽

Seyed Mohammad Hossein Nabavi

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Power Plant ◽

Wind Power ◽

Wind Turbines ◽

Wind Power Plant

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Optimal placement of wind turbines: A Monte Carlo approach with large historical data set

2010 IEEE International Conference on Electro/Information Technology ◽

10.1109/eit.2010.5612130 ◽

2010 ◽

Cited By ~ 7

Author(s):

Priti Sood ◽

Vincent Winstead ◽

Paul Steevens

Keyword(s):

Monte Carlo ◽

Wind Turbines ◽

Historical Data ◽

Optimal Placement ◽

Data Set ◽

Monte Carlo Approach

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Optimal Placement of Distributed Generation Units in a Distribution System with Uncertain Topologies using Monte Carlo Simulation

International Journal of Emerging Electric Power Systems ◽

10.1515/ijeeps-2015-0025 ◽

2015 ◽

Vol 16 (5) ◽

pp. 431-441 ◽

Cited By ~ 4

Author(s):

Clainer Bravin Donadel ◽

Jussara Farias Fardin ◽

Lucas Frizera Encarnação

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Distributed Generation ◽

Distribution System ◽

Heuristic Algorithms ◽

Optimal Placement ◽

Medium Size ◽

Swarm Optimization ◽

Network Topologies ◽

New Methodologies

Abstract In the literature, several papers propose new methodologies to determine the optimal placement/sizing of medium size Distributed Generation Units (DGs), using heuristic algorithms like Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). However, in all methodologies, the optimal placement solution is strongly dependent of network topologies. Therefore, a specific solution is valid only for a particular network topology. Furthermore, such methodologies does not consider the presence of small DGs, whose connection point cannot be defined by Distribution Network Operators (DNOs). In this paper it is proposed a new methodology to determine the optimal location of medium size DGs in a distribution system with uncertain topologies, considering the particular behavior of small DGs, using Monte Carlo Simulation.

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