Modeling and Grid Integration of Large Dish‐Stirling Solar Farm

Dustin Howard, Ronald G. Harley and Ganesh K. Venayagamoorthy

Modeling and Grid Integration of Large Dish‐Stirling Solar FarmDish-Stirling systems are a form of concentrating solar power (CSP) emerging as an efficient and reliable source of renewable energy. Various technical hurdles are involved in the grid interconnection of dish-Stirling systems, particularly with issues related to power factor correction, low voltage ride-through capability, and reactive power planning. While there are no gridinterconnection requirements specific to dish-Stirling technology, the requirements currently established for wind farms are used as a starting point due to the similar design and operating characteristics between wind farms and dish-Stirling solar farms. A dish-Stirling solar farm requires external reactive power compensation to meet the power factor requirements presently set for wind farms.

Dynamic Performance Model for Wind Turbine Generators

Prajwal Gautam and  Ganesh Kumar Venayagamoorthy

Wind turbine power curves are based on the industry standard IEC 61400-12-1. Power curves are used for planning purposes and estimating total wind power production. Wind velocity are collected and averaged over 10-minute periods.  Traditional methods do not explain varying characteristics in wind dynamics where multiple power productions are observed for same wind speed. When the input parameters such as wind speed and wind directions are known and the output parameter wind power are known for an installed wind turbine generation plant, a dynamic computational network such as neural network is used to develop operation model and estimate the wind power generation.

Modeling and Intelligent Control for an Electric Power Micro-Grid

Yi Deng, Ganesh Kumar Venaygamoorthy and Ronald G Harley

The micro-grid will be an important part of future power system. It contains the typical elements in present and future power systems and also contains some renewable energy sources, eg. wind power, photovoltaic energy, and energy storage. Power electronic devices/converters act as interface between the renewable energy sources and the power grid. An intelligent controller will be necessary to ensure stability of the micro-grid.

Gridable (Plug-in) Vehicles -Smart Grid Integration

Ahmed Y. Saber and Ganesh K. Venayagamoorthy

Gridable (Plug-in) Vehicles -Smart Grid IntegrationSmart grid consists of conventional generations, wind, solar and gridable vehicles (GVs). Intelligent optimization methods result in reduction of cost of energy and emission. GVs operate in two modes: grid-to-vehicle (G2V, loads and storage), and vehicle-to-grid (V2G, sources). “Smartparks with GVs” are as virtual power plants consisting of several small portable power plants (vehicles).

Impact of Plug-in Vehicles on Power System Stability

Pinaki Mitra and Ganesh K. Venayagamoorthy

Impact of Plug-in Vehicles on Power System StabilityV2G power transactions are going to be an integrated part of the smart grid. This study shows how sudden charging and discharging of the SmartParks will impact the power system stability and demonstrates the potential of a wide-area controller to mitigate the impacts.

Dynamic Stochastic Optimal Power Flow Control for Smart Grids

Jiaqi Liang, Ganesh Kumar Venayagamoorthy and Ronald G Harley

High penetration of intermittent renewables adds uncertainty and variablity.  Static OPF cannot handle fast stochastic/dynamic events. Secondary frequency and voltage control cannot guarantee system-wide security. Coordinated AC power flow control solution replaces existing linear secondary frequency and voltage control, interacts with dynamics of load and local controllers. It simultaneously considers economy, stability, and security in real-time control. It also handles fast stochastic events (eg. wind variations, and contingencies).