Pxise Energy Solutions, LLC

Sai Akhil Reddy Konakalla

Raymond A De Callafon

Patrick T Lee

Charles H Wells

Jose Luis Carranza

Systems and method are described herein for determining scheduling of electrical power system loads and generation resources. A load scheduling module determines load scheduling characteristics of the electrical power system loads and the generation resources based on power system constraints including power system flow, voltage constraints associated with each electrical system loads or each generation resource, or energy storage capacity of an energy storage device coupled to at least one of the electrical power system loads or the generation resources. The load scheduling module initiates a first signal that curtails power of a subset of the electrical power system loads based on the load scheduling characteristics. The load scheduling module initiates a second signal that adjusts power of at least a portion of remaining loads of the electrical power system loads to accommodate for the subset of the plurality of the electrical power system loads having curtailed power.

Power system load scheduling

A power flow schedule of a cluster is determined by calculating sensitivity of the net power exchange bounds. Each cluster includes a different section of the power system. The cluster provides to another cluster the power flow schedule and the net power exchange bounds for determination of a second power flow schedule by another cluster based on collective net power exchange bounds, a forecast power supply of the plurality of clusters, and a forecast power demand schedule. The clusters are hierarchically arranged such that the another cluster is higher in a hierarchy than the cluster. The cluster receives from the another cluster the second power flow schedule. The first power flow schedule is adjusted locally within the cluster based on the second power schedule and the net power exchange bounds of the cluster. The power output of the cluster is controlled using the adjusted first power flow schedule.

Power system optimization using hierarchical clusters

Systems and methods are described herein for maintaining stability of a power grid by providing a continuous power system data stream. Power system data including one or more data packets is monitored to identify reliability of data transmission. A predicted data packet is continually generated, characterizing predicted power system data of the power grid based on filtering of the one or more past and most recent non-missing and reliable data packets. A substitution factor of the one or more data packets is determined. The predicted data packet is selectively substituted in place of the one or more data packets based on the substitution factor.

Maintaining power grid stability using predicted data

Systems and methods are described herein for controlling power at a point of interconnection of the power grid. Power data that characterizes power flow at a point of interconnection of the power grid is received. The power data includes power contribution levels of at least one distributed energy resource and at least one analysis profile for a time period. An objective energy function is determined based on the power contribution levels and the at least one analysis profile. A power contribution set-point is determined based on a minimum value of the objective energy function. The power contribution set-point reflects an optimized power contribution level of the at least one distributed energy resource. The power contribution set-point is provided to the at least one distributed energy resource to achieve the optimized power contribution level by modifying the power contribution of the at least one distributed energy resource.

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La Jolla, CA, United States of America

Sai Akhil Reddy Konakalla