Abstract: A method and system for a virtual peaker power plant (VPPP) that develops scheduler models for grid interactive power flow between an aggregation of multiple microgrids or stand-alone distributed energy resources (DERs), controlled by the VPPP and a main electrical grid. The VPPP provides day ahead forecasts for grid demand and costs of electrical power determined from external sources. Grid peak prediction software executing in the VPPP develops day ahead forecasts and day ahead schedules for power generation demand, energy storage and load dispatch from the data supplied by multiple microgrids connected to the VPPP. The VPPP generates and downloads a scheduler model for each microgrid to a controller controlling the microgrid. The controller uses the scheduler model to develop schedules and demand forecasts for the microgrid.

Abstract: A battery energy storage system is disclosed that receives energy from an electrical grid and supplies electrical energy to one or more microgrids. The battery energy storage system comprises a power conversion system arranged to charge a battery with the energy from the electrical grid and discharge the battery to supply electrical energy to the one or more microgrids. An energy control system controller communicatively coupled to the power conversion system manages the energy drawn from the electrical grid to charge the battery and to manage the energy discharged from the battery to supply electrical energy to the one or more microgrids.

Abstract: A method and system for locating and quantifying fugitive gas emission leaks includes obtaining gas sensor data and wind direction data from a plurality of sensors and weather stations located proximate a given area of interest. The gas sensor data and the wind direction data is validated to remove erroneous values and to merge the gas sensor data with the wind direction data to provide time synchronized gas sensor data and wind direction data over a given time interval. The time synchronized gas sensor data and wind direction data is segmented for each gas sensor location into wind direction bins containing a concentration of the gas levels in each bin. The area of interest is divided into a grid of cells and the bins projected on the grid cells for each gas sensor location along with the level of gas contained in the bins.

Abstract: A method and device is provided that uses historical process data for an industrial process run by an industrial process control and automation system having processing equipment and identified by tag names. The tag names and process data are stored in a database, and a processor and a memory implement a Key Performance Indicator (KPI) tag system, that identifies primary and secondary KPIs from the list of tag names and data values stored in the database and extracts a set of KPI tags from the primary and secondary KPIs storing the extracted KPI tags in the memory. In another embodiment the KPI tag system imports all of the Human Machine Interface (HMI) display files used in the industrial process and identifies the display file tag names and links to other HMI display files. Using an asset model of the process plant and the links to the other HMI displays, the Level 1 HMI displays are identified and KPI tag system generates and stores the KPI tags for the identified Level 1 HMI displays.

Abstract: Devices, methods, and systems for assessing risk associated with a domain are described herein. One method includes determining an inherent risk associated with a number of boundaries associated with a domain, determining a threat potential associated with a number of disturbances associated with the domain, determining an actual threat associated with a number of control mechanisms associated with the domain, and determining an overall risk associated with the domain based on the inherent risk, the threat potential, and the actual threat.