Machine learning enables utilities to factor in any real-life bias that may exist between wind and weather patterns and a wind generator’s actual generation output, while physical forecasting enables utilities to represent wind turbines’ rare limit “behaviors,” such as high wind cut-offs. New algorithms for the forecasting of wind turbine generation sites mix the best of physical forecasting and machine learning. The DER Orchestration Forecasting module provides additional algorithms to further expand a utility’s ability to anticipate potential grid violations despite the intermittency of renewables and DERs. Our DER Orchestration solutions can significantly increase the volume of renewable imports onto the electric grid, effectively manage DERs as non-wire alternatives to costly grid and generation upgrades and orchestrate DERs from planning through to control.” “In today’s fast-changing and uncertain environment, our customers are on the front line of the world’s toughest industrial challenges and DERS may well prove to be the most disruptive influence in the history of the electric grid.
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“Now more than ever, software is mission critical,” said Jim Walsh, GE Digital General Manager, Grid Software. GE Digital’s solution enables operators to anticipate potential violations DERs could cause by processing historical data and explanatory variables to generate forecasts of load and intermittent generation from DERs, as well as identify location, severity and timing of potential reliability issues. The fact that DERs are geographically dispersed across the Distribution grid further complicates matters. Intermittency presents a problem for utilities as the energy injected or withdrawn by DERs is intermittent, with flow tied to how the wind blows and the sun shines, as well as how prosumers want to consume/generate/store energy for their DER-related housing, transportation or energy efficiency services. Effective management of DERs requires modeling and awareness of physical and contractual characteristics, and locations throughout a broad range of applications, spanning planning and operational domains.ĭER Orchestration 2.0 helps electrical grid operators address two key challenges: intermittency and dispersion.
Operations are challenged to effectively utilize both utility-owned and third-party owned DERs due to limited visibility. Increasing levels of DERs are impacting electric utilities’ safe and efficient delivery of electricity. As part of GE Digital’s Grid software portfolio, DER Orchestration 2.0 provides operators with the requisite tools and situational intelligence to recognize developing situations and act quickly and decisively, orchestrating flexibility across the grid for both utility and non-utility DERs, while unlocking new revenue streams.Ĭustomers such as PPL Electric Utilities in the United States are using our DER Orchestration solutions, and EDP Distribuição is testing it in a real demo in Portugal under the ‘InteGrid’ European Commission funded project.ĭERs can include solar panels, wind turbines, combined heat and power plants, electricity energy storage, small natural gas-fueled generators, electric vehicles and any type of controllable loads, such as HVAC systems and electric water heaters. DERs are either electric energy producing or storing resources or controllable loads that are connected to an electric distribution system. – – GE Digital today unveiled a new version of its DER Orchestration software to enable electric utilities to manage and orchestrate Distributed Energy Resources (DERs) in an end-to-end manner via flexible deployment options ranging from Edge to Cloud. New Software Enables Grid Operators to Address Intermittency and Dispersion of Distributed Energy Resources
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