Duke Energy Corporation

The University of North Carolina at Charlotte

Daniel Blair Sowder

Sukumar Kamalasadan

Sherif Abdelmageed Abdelrazek

Johan H R Enslin

An energy storage system controller, including: an energy storage system coupled to a power distribution system; and a processor in communication with the energy storage system, wherein the processor executes: a renewables capacity firming algorithm operable for conditioning intermittent power of a renewable energy station using real time and historical input data such that it is made more stable and non-intermittent, optionally utilizing one or more parameter values associated with comparable time periods taking into account one or more factors comprising cloud state; and a peak load shaving algorithm operable for ensuring that the energy storage system is capable of transmitting full power capacity at a predicted feeder peak load time determined by the processor from real time and historical input data; wherein the performance of the renewables capacity firming algorithm and the performance of the peak load shaving algorithm are optimized in parallel.

Battery energy storage system controller systems and methods

A battery energy storage system control system, including: logic coupled to a photovoltaic station and an energy storage system and executing a photovoltaic station capacity firming algorithm operable for making a combined output of the photovoltaic station and the energy storage system substantially constant such that power swings on an associated feeder system are avoided; logic coupled to the photovoltaic station and the energy storage system and executing a voltage support algorithm operable for holding point of common coupling voltage and phase values substantially equal to substation voltage and phase values via power injection or removal; and logic coupled to the photovoltaic station and the energy storage system and executing an energy time shift algorithm operable for storing energy during periods of relatively low demand and providing energy during periods of relatively high demand.

Grid tied system controller including logic coupled to a photovoltaic station and an energy storage system

Methods for reducing solar inverter output volatility are provided. A method for reducing solar inverter output volatility may include determining whether an output fluctuation by a solar inverter is likely, using output data of the solar inverter. Moreover, the method may include curtailing an output of the solar inverter in response to determining that the output fluctuation by the solar inverter is likely. Related solar inverters and solar installation nodes are also described.

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Bainbridge Island, WA, United States of America

Daniel Blair Sowder