Method for Secure Scheduling and Dispatching Synthetic Regulating Reserve from Distributed Energy Resources

The field of power management has seen an increased interest and need for the integration of small-scale energy generation or energy storage units close to the consumers. These units are typically referred to as distributed energy resources (DERs), and their effective integration is key to a decentralized and efficient energy-provision sector. With energy transition and decentralization gaining momentum, an efficient method to aggregate and control these DERs is imperative. However, conventional approaches for managing DERs often fail to maximize their potential, given the limited execution of control and lack of reliable communication. Existing methods are also inadequate to address the technical and economic risks associated with DER management and integration. There is a lack of robust, flexible platforms that can cater to different DER designs, making it difficult to provide a systemic, efficient electricity service.

Technology Description

The technology details methods and systems for modeling, managing, and implementing a Synthetic Reserve Provisioning System (SRPS), specifically designed for the integration of small devices close to consumers, known as distributed energy resources (DERs). Using a data-driven, physics-based approach, the system enables the efficient dispatch and scheduling of DERs, allowing them to participate in the provision of electricity service at a system level. An SRPS typically consists of multiple levels of customer aggregators that communicate data on consumer traits and data on load and pricing situations. Distinct from other energy-provision models, this technology encompasses three contrasting SRPS designs, varying in their requirements for communications, control, and the technical and economic risks assumed by various SRP modules. Depending on the control and communication structures available, this system can ensure the valuable integration of DERs, even if the number of participating devices is limited.