OPNET Simulation Model for Small Scale Wind Power Farm Monitoring Based on IEC 61400-25

2012 ◽  
Author(s):  
Mohamed A. Ahmed ◽  
Won-Hyuk Yang ◽  
Young-Chon Kim
Keyword(s):  
Simulation Model ◽  
Wind Power ◽  
Small Scale ◽  
Opnet Simulation

scholarly journals Wind Power potential in Kigali and Western provinces of Rwanda

2015 ◽  
Vol 2 (1) ◽  
pp. 25-36
Author(s):  
Otieno Fredrick Onyango ◽  
Sibomana Gaston ◽  
Elie Kabende ◽  
Felix Nkunda ◽  
Jared Hera Ndeda
Keyword(s):  
Wind Speed ◽  
Probability Density ◽  
Wind Power ◽  
Wind Direction ◽  
Small Scale ◽  
Energy Potential ◽  
Wind Speeds ◽  
Mean Wind Speed ◽  
Wind Energy Potential ◽  
Low Wind Speeds

Wind speed and wind direction are the most important characteristics for assessing wind energy potential of a location using suitable probability density functions. In this investigation, a hybrid-Weibull probability density function was used to analyze data from Kigali, Gisenyi, and Kamembe stations. Kigali is located in the Eastern side of Rwanda while Gisenyi and Kamembe are to the West. On-site hourly wind speed and wind direction data for the year 2007 were analyzed using Matlab programmes. The annual mean wind speed for Kigali, Gisenyi, and Kamembe sites were determined as 2.36m/s, 2.95m/s and 2.97m/s respectively, while corresponding dominant wind directions for the stations were ,  and  respectively. The annual wind power density of Kigali was found to be  while the power densities for Gisenyi and Kamembe were determined as and . It is clear, the investigated regions are dominated by low wind speeds thus are suitable for small-scale wind power generation especially at Kamembe site.

Optimal sensor placement to detect ruptures in pipeline systems subject to uncertainty using an Adam-mutated genetic algorithm

2021 ◽  
pp. 147592172110565
Author(s):  
Chungeon Kim ◽  
Hyunseok Oh ◽  
Byung Chang Jung ◽  
Seok Jun Moon
Keyword(s):  
Genetic Algorithm ◽  
Simulation Model ◽  
Sensor Network ◽  
Sensor Placement ◽  
Mixed Integer ◽  
Working Fluid ◽  
Small Scale ◽  
Pipeline System ◽  
Optimal Sensor Placement ◽  
Pipeline Network

Pipelines in critical engineered facilities, such as petrochemical and power plants, conduct important roles of fire extinguishing, cooling, and related essential tasks. Therefore, failure of a pipeline system can cause catastrophic disaster, which may include economic loss or even human casualty. Optimal sensor placement is required to detect and assess damage so that the optimal amount of resources is deployed and damage is minimized. This paper presents a novel methodology to determine the optimal location of sensors in a pipeline network for real-time monitoring. First, a lumped model of a small-scale pipeline network is built to simulate the behavior of working fluid. By propagating the inherent variability of hydraulic parameters in the simulation model, uncertainty in the behavior of the working fluid is evaluated. Sensor measurement error is also incorporated. Second, predefined damage scenarios are implemented in the simulation model and estimated through a damage classification algorithm using acquired data from the sensor network. Third, probabilistic detectability is measured as a performance metric of the sensor network. Finally, a detectability-based optimization problem is formulated as a mixed integer non-linear programming problem. An Adam-mutated genetic algorithm (AMGA) is proposed to solve the problem. The Adam-optimizer is incorporated as a mutation operator of the genetic algorithm to increase the capacity of the algorithm to escape from the local minimum. The performance of the AMGA is compared with that of the standard genetic algorithm. A case study using a pipeline system is presented to evaluate the performance of the proposed sensor network design methodology.

Fuel Cell Microgrid with Wind Power Generation

2014 ◽  
pp. 136-166
Keyword(s):  
Power Generation ◽  
Fuel Cell ◽  
Wind Power ◽  
Dynamic Characteristics ◽  
Operating Conditions ◽  
Wind Power Generation ◽  
Small Scale ◽  
Power Characteristics ◽  
Renewable Power ◽  
The Cost

This chapter consists of two sections, ‘Analysis of a Fuel Cell Microgrid with a Small-Scale Wind Turbine Generator’ and ‘Power Characteristics of a Fuel Cell Microgrid with Wind Power Generation.’ An independent microgrid is expected to be effective in cutting greenhouse gas discharge and energy costs. Therefore, the operating conditions of an independent microgrid that supplies power with renewable power sources and fuel cells are investigated in the 1st section. In the 2nd section, the dynamic characteristics of fuel cell microgrid are investigated in numerical analysis, and the cost of fuel consumption and efficiency is also calculated. In addition, the stabilization time of the microgrid and its dynamic characteristics accompanied by wind-power-generation and fluctuation of the power load are clarified.

SWING: A Simulation Model for the Integration of Wind Power into the National Grid

Wind Energy ◽  
1981 ◽  
pp. 92-123
Author(s):  
L. Jarass ◽  
L. Hoffmann ◽  
A. Jarass ◽  
G. Obermair
Keyword(s):  
Simulation Model ◽  
Wind Power

scholarly journals Technical assessment of small-scale wind power for residential use in Mexico: A Bayesian intelligence approach

PLoS ONE ◽  
2020 ◽  
Vol 15 (3) ◽  
pp. e0230122 ◽  
Author(s):  
Monica Borunda ◽  
Javier de la Cruz ◽  
Raul Garduno-Ramirez ◽  
Ann Nicholson
Keyword(s):  
Wind Power ◽  
Small Scale ◽  
Residential Use ◽  
Technical Assessment ◽  
Intelligence Approach

scholarly journals Design of Microgrid Protection Schemes Using PSCAD/EMTDC and ETAP Programs

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5784 ◽  
Author(s):  
Hyun Shin ◽  
Sang Heon Chae ◽  
Eel-Hwan Kim
Keyword(s):  
Power System ◽  
Simulation Model ◽  
Computer Aided Design ◽  
Storage System ◽  
Circuit Breaker ◽  
Small Scale ◽  
Distributed Resources ◽  
Protective Relay ◽  
Detailed Simulation ◽  
Switching Devices

Steady-state, harmonics, and transient analysis of a power system by using a detailed simulation model is essential to microgrid operation before the installation of new power facilities, because the microgrid, which is a small-scale independent power grid consisting of distributed resources and an energy storage system, has no choice but to include many inverters consisting of switching devices. Accordingly, in the case of an accident in a microgrid system, various power system simulation tools must be used to calculate the fault current for grid protection components. Specifically, Modelling using Power System Computer Aided Design (PSCAD)/Electro-Magnetic Transient Design and Control (EMTDC) can perform detailed modeling of switching devices into each inverter, and Electrical Transient Analyzer Program (ETAP) can design protection relays. From this perspective, this study designed whole protection components in a microgrid system, including the capacity of switching devices for fault ride through a protective relay and the capacity of the circuit breaker. The parameters of an actual microgrid on the San Cristobal Island, Galapagos, were used to make a detailed simulation model in both PSCAD/EMTDC and ETAP. The capacities of the switching devices were estimated by using PSCAD/EMTDC. Additionally, the rated breaking capacities and the setting values of the protective relay were also calculated from the result of an ETAP simulation.

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