Distributed Resource Energy Analysis and Management System (DREAMS) Development for Real-time Grid Operations

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Hawaii has two different Energy Management Systems (EMS) on the islands of Oahu and Maui, and already has very high solar penetration. This project will design new capabilities for these systems to enable visibility to thousands of uncontrolled, distributed roof-top PV resources and factor advanced 15-minute short term wind and solar forecasting capability for the region into the EMS decision-making process. This project is innovative in incorporating solar generation forecasts into the operational EMS and working with two major EMS vendors (Siemens & Alstom) to create advanced EMS software. The results of this project will motivate technology development to enable operational change under high renewables penetration, thereby reducing the cost and impact of integrating large amounts of solar.

  • This 2 year project supports development of the next generation, integrated energy management infrastructure (EMS) able to incorporate advance visualization of behind-the-meter distributed technology performance information and probabilistic renewable energy generation forecasts to inform operational decisions. The project involves end-users and active feedback from an Utility Advisory Team (UAT) to help inform how information can be used to enhance operational functions (e.g. unit commitment, load forecasting, Automatic Generation Control (AGC) reserve monitoring, ramp alerts) within two major EMS platforms.

    Objectives include:

    • Engaging utility operations personnel to develop user input on displays, set expectations, test and review
    • Develop ease of use and timeliness metrics for measuring enhancements
    • Develop prototype integrated capabilities within two operational EMS environments
    • Demonstrate an integrated decision analysis platform with real-time wind and solar forecasting information and timely distributed resource information
    • Seamless integration of new 4-dimensional information into operations without increasing workload and complexities, yet sufficient analytics learn and confidently transform and adopt new operating practices and procedures
    • Disseminate project lessons learned through industry sponsored workshops and conferences
    • Building on collaborative utility-vendor partnership and industry capabilities