Abstract: A process/method is provided, which facilitates achieving and obtaining realistic, accurate voltage observability of end customer service delivery points within the secondary distribution level using the alarming capability of intelligent data gathering and communication technology devices such as, but not necessarily limited to SCADA systems, distribution system RTU or SCADA, smart meters, smart gateways, and Advanced Metering Infrastructure (AMI) meters, or any device known in the art capable of sending alarm signals when voltage is detected above or below a predetermined threshold (generally herein defined as “Advanced Meters”). Such system and methods can be applied for many uses comprised of monitoring the energy grid, energy demand management and other energy industry applications, while minimizing operating and infrastructure/hardware costs.

Abstract: A system and process/method of modeling demand-response (DR) and distributed-energy resource (DER) assets is provided, facilitating the aggregation of said assets in virtual power plants (VPPs), and using VPPs to provide energy balancing services needed to minimize the impact of Variable Energy Resources (VER) on power system. The method accurately accounts for assets by qualifying assets based on various parameters and by forecasting the capabilities of the resulting VPPs for provision of balancing services. Asset performance factors that may affect the aggregated VPP's capabilities are monitored and recalculated when necessary. Near-term forecasted VPP capability is compared to near-term forecasted imbalances in the electric-power-supply system, and the VPP is dispatched to minimize the system imbalances. The dispatch signal is disaggregated to control commands to individual assets.

Abstract: A system and process/method is provided, which economically optimizes the dispatch of various electrical energy resources. The disclosed process/method is linked to and communicates with various sources of input data, including but not limited to, EMS/SCADA legacy Energy Management Systems (EMS), legacy Supervisory Control and Data Acquisition (SCADA) Systems, Demand Response (DR) and Distributed Energy Resources (DER) monitor, control, schedule, and lifecycle management systems (DR/DER Management System), and Energy Markets, electrical energy commodity trading systems (Trading Systems), and Operations System (OPS) in order to compute optimal day-ahead, day-of, and real-time schedules of various durational length for generation, demand response and storage resources while taking into account bilateral contracts and market-based trade opportunities.

Abstract: A process/method is provided, which facilitates achieving and obtaining realistic, accurate voltage observability of end customer service delivery points within the secondary distribution level using the alarming capability of intelligent data gathering and communication technology devices such as, but not necessarily limited to SCADA systems, distribution system RTU or SCADA, smart meters, smart gateways, and Advanced Metering Infrastructure (AMI) meters, or any device known in the art capable of sending alarm signals when voltage is detected above or below a predetermined threshold (generally herein defined as “Advanced Meters”). Such system and methods can be applied for many uses comprised of monitoring the energy grid, energy demand management and other energy industry applications, while minimizing operating and infrastructure/hardware costs.

Abstract: A system and process/method of modeling demand-response (DR) and distributed-energy resource (DER) assets is provided, facilitating the aggregation of said assets in virtual power plants (VPPs), and using VPPs to provide energy balancing services needed to minimize the impact of Variable Energy Resources (VER) on power system. The method accurately accounts for assets by qualifying assets based on various parameters and by forecasting the capabilities of the resulting VPPs for provision of balancing services. Asset performance factors that may affect the aggregated VPP's capabilities are monitored and recalculated when necessary. Near-term forecasted VPP capability is compared to near-term forecasted imbalances in the electric-power-supply system, and the VPP is dispatched to minimize the system imbalances. The dispatch signal is disaggregated to control commands to individual assets.

Abstract: A system and process/method is provided, which economically optimizes the dispatch of various electrical energy resources. The disclosed process/method is linked to and communicates with various sources of input data, including but not limited to, EMS/SCADA legacy Energy Management Systems (EMS), legacy Supervisory Control and Data Acquisition (SCADA) Systems, Demand Response (DR) and Distributed Energy Resources (DER) monitor, control, schedule, and lifecycle management systems (DR/DER Management System), and Energy Markets, electrical energy commodity trading systems (Trading Systems), and Operations System (OPS) in order to compute optimal day-ahead, day-of, and real-time schedules of various durational length for generation, demand response and storage resources while taking into account bilateral contracts and market-based trade opportunities.

Abstract: A system and method which allows end users of electrical energy to engage in, comply with, and otherwise make use of a smart grid program. The invention allows end users to engage with an entity running a smart grid program through such actions as sending notifications, agreeing to events, paying bills, reviewing contracts, and updating information. The invention receives data from and sends messages to any smart meters, AMI or HAN, the end user has in their service location necessary to comply with the smart grid program. The invention supports the use of any smart meters the end user employs for home automation network functionality, enabling the end user to activate, deactivate, or otherwise modulate any devices enabled with a smart meter at their service location. The invention receives data from and sends messages to any demand response system the entity running the smart grid program employs to support the smart grid program.