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The "advanced" elements of an ADMS go beyond traditional distribution management systems by providing next-generation control capabilities. These capabilities include the management of high penetrations of distributed energy resources (DERs), closed-loop interactions with building management systems, and tighter integration with utility tools for meter data management systems, asset data, and billing.
The ADMS Test Bed is a national, vendor-neutral effort funded by the U.S. Department of Energy Office of Electricity''s Grid Controls and Communications division to accelerate industry development and the adoption of ADMS capabilities. The test bed enables utility partners, vendors, and researchers to evaluate existing and future ADMS, distributed energy resource management system (DERMS), and other utility management system applications in a realistic laboratory environment.
The GridAPPS-D platform provides a data rich control environment for researchers to develop futuristic advanced distribution applications, which include the following examples: increased efficiency, reliability, and resilience with real-time DER dispatch; short-term grid forecasting, which has the capacity to pave the way for developing market-based approach to manage distribution assets and flexible resources; and solar forecasting that provides intra-hour forecasted data for DSO to include the impact of solar PV for making operational planning decisions.
This platform can be integrated with the ADMS Test Bed to evaluate the performance of novel advanced distribution management applications.
As part of the Enabling Extreme Real-time Grid Integration of Solar Energy (ENERGISE) program, NREL developed and validated Enhanced Control, Optimization, and Integration of Distributed Energy Applications (ECO-IDEA), a data-enhanced hierarchical control architecture that is a hybrid of centralized and distributed control approaches. The architecture features an ADMS operation, with synergistic ADMS and grid-edge operations, the inclusion of PV fast-regulation capabilities, and comprehensive situational awareness.
The focus of this project was to demonstrate the effectiveness of a data-enhanced hierarchical control architecture to achieve various system-level control and operation objectives using NREL''s ADMS Test Bed. NREL partnered with Xcel Energy, Schneider Electric, the Electric Power Research Institute, and Varentec to demonstrate the novel technology on an Xcel Energy feeder through simulations and field evaluation.
In the architecture, the ADMS, grid-edge management system, and real-time optimal power flow (an NREL-patented technology) control the legacy voltage devices (load tap changer, capacitor banks), grid-edge devices, and PV inverters, respectively. The coordination of the three system-level controls enables improved voltage performance under high penetrations of PV in distribution grids.
This project was funded by the Solar Energy Technologies Office.
NREL partnered with San Diego Gas & Electric Co. to identify and demonstrate novel methods for leveraging advanced metering infrastructure (AMI)—smart meters—for advanced grid planning and operations. AMI data use is currently limited to customer billing and outage detection. The new methods will reduce the cost of operations for the utility by transforming the AMI meters into a pervasive secondary network measurement platform for monitoring the grid edge.
The current utility architecture has limited field measurements in the form of a few supervisory control and data acquisition points for each feeder. The ADMS Test Bed was used to evaluate the effectiveness of a data-driven voltage control algorithm using AMI data as input, especially in the presence of high penetrations of PV. The algorithm was deployed on GridAPPS-D, an open-source grid operations research platform.
A Federated Architecture for Secure and Transactive Distributed Energy Resource Management Solutions (FAST-DERMS) is being developed to enable the provision of reliable, resilient, and secure distribution and transmission grid services through scalable aggregation and near-real-time management of utility-scale and small-scale DERs.
A flexible resource scheduler at the distribution utility level, which could be implemented on an ADMS, performs reliability-constrained economic dispatch of DERs, either directly or through a transactive market or DER aggregator. FAST-DERMS also allows for the seamless integration of any centralized distribution utility management system and a transmission energy management system at the independent system operator level. The project will end with a laboratory demonstration at NREL''s ESIF using its ADMS Test Bed.
FAST-DERMS is being developed through funding provided by the Building Technologies Office and Office of Electricity''s Advanced Grid Research program through the Grid Modernization Laboratory Consortium. The project is led by NREL and supported by multiple partners, including Lawrence Berkeley National Laboratory, Oak Ridge National Laboratory, San Diego Gas & Electric, Southern, ComEd, Centrica, and Oracle.
NREL, Siemens Corp., Corporate Technology, Columbia University, Holy Cross Energy, and Siemens Digital Grid partnered to address the challenges of situational awareness and resilience in power systems with high renewable integration. The objective of the AURORA (AUtonomous and Resilient Operation of Energy Systems with RenewAbles) project is to develop, validate, and demonstrate a three-level energy management system (EMS) containing security situational awareness, distributed microgrid coordination, and autonomous microgrid restoration technologies that significantly outperform today''s EMS in terms of situational awareness, resilience, and autonomy.
The first layer of defense, the security situational awareness, supports the operator in the microgrid management system to:
Security situational awareness will use advanced data analytics and power flow optimization methods.
If a contingency is so severe that it results in a microgrid management system or communications system breakdown, the second layer takes over. The distributed microgrid coordination combines distributed control and optimization methods to maintain continuity of service with a peer-to-peer energy management system or—if the communications system fails completely—communications-free energy management system.
In a worst-case scenario, where the first two layers cannot avoid a power outage, the third layer drives fast restoration of the power system. The autonomous microgrid restoration merges different techniques—including grid-forming inverter control, black start with fleets of inverters, and self-configuring local microgrid controllers—to restore power supply to critical loads autonomously, i.e., without human interaction.
This project is funded by the Solar Energy Technologies Office.
Autonomous Restoration of Networked Microgrids Using Communication-Free Smart Sensing and Protection Units, IEEE Transactions on Sustainable Energy (2023)
Investigating Multi-Microgrid Black Start Methods Using Grid-Forming Inverters, IEEE Power and Energy Society Innovative Smart Grid Technologies Conference (2023)
Peer-To-Peer Communication Trade-Offs For Smart Grid Applications, International Conference on Computer Communications and Networks (2022)
Performance Evaluation of Peer-to-Peer Distributed Microgrids Coordination for Voltage Regulation, IEEE Power and Energy Society General Meeting (2022)
Autonomous Microgrid Restoration Using Grid-Forming Inverters and Smart Circuit Breakers, IEEE Power and Energy Society General Meeting (2022)
The goal of this project is to create an integrated grid management framework that will be akin to having an autopilot system for the grid''s interconnected components—from central and distributed energy resources in bulk power systems and distribution systems to local control systems for energy networks, including BMSs. In this 3-year project, NREL collaborated with Lawrence Livermore National Laboratory, Pacific Northwest National Laboratory, Sandia National Laboratory, and Los Alamos National Laboratory.
The project team developed an open framework to coordinate EMS, DMS, and BMS operations. The General Electric ADMS at NREL was virtually linked with a General Electric EMS and a BMS at Pacific Northwest National Laboratory. The use case of controlling flexible buildings and DERs in distribution systems to support voltages in transmission systems was demonstrated through the integrated EMS-DMS-BMS platform. New operations applications—probabilistic risk-based operations and forecasting data integration for decision support—were also deployed and demonstrated in this project. This integrated grid management framework will transform how utility operators improve situational awareness and control capabilities to:
This is a Grid Modernization Laboratory Consortium-funded project.
The goal of this project is to develop and demonstrate an ADMS that allows DERs to improve distribution system operations and simultaneously contribute to transmission-level services. The team envisions:
NREL brings significant expertise in network optimization and distributed control of power systems to this project.
This project is funded under the Office of Electricity.
Combining Model-Based and Model-Free Methods for Stochastic Control of Distributed Energy Resources, Applied Energy (2021)
Hierarchical Management of Distributed Energy Resources Using Chance-Constrained OPF and Extremum Seeking Control, American Control Conference (2019)
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