Integrated AC & DC Design & Analysis
Model-Driven SCADA, EMS, PMS, ADMS & SAS
A Unified Digital Twin PlatformDesign, Operation, and Automation
Model-Driven Load Curtailment Solution
Intelligent Distribution Load Shedding (iDLS) solution is an integrated model-driven controller with real-time operational digital twins to validate, optimize, predict, and manage load shedding for geographically dispersed systems such as Transmission & Distribution networks and Industrial production fields.
iDLS offers a centralized load management and shedding solution that monitors and makes proactive decisions as to when and how load shedding should be executed to minimize the impact to the grid and its connected customers.
iDLS addresses key concerns and challenges in implementing strategies to perform the desired and coordinated load shedding and generation curtailment in geographically dispersed systems in response to load demand changes, and the impact of distributed energy resources on the grids while preventing power blackouts and unplanned outages.
iDLS maintains visibility of the entire network using a model-driven foundation to calculate the required load shed under different conditions including the change in network topology, system reconfiguration, loading levels, and online generation capacity, and power reserves including overload, underfrequency, or undervoltage operating scenarios.
The use of the operational digital twin model further enables the real-time monitoring and assessment of the network component capacity, as well as proactive knowledge of the location and type of the disturbance to make intelligent decisions as how much load/generation to drop and where to drop it.
iDLS tracks the total connected load and number of customers connected per feeder to determine the dynamic load priority per customer / feeder classifications such as Critical, Industrial, and Residential. The dynamic priority algorithms
calculate the optimal selection of rotating schedules and automatically adjust planned rolling outages based on number of feeder trips, number of pervious outages, and restoration times to optimize the reliability indices and quality of supply while improving the response to customer service inquiries.
As more DERs are added and mixed into the grid, the load shed system must be able to evaluate and validate the system response as load and generation grows and measure the unbalance of generation vs. load when load shed happens.
iDLS is integrated with ETAP DERMS solution to consider the impact of voltage support on high DER feeders, and to provide volt-var optimization and feeder capacity calculations to determine the best strategy of load shedding in coordination with DER dispatch and operating load.
The implementation of a load shed system must include load forecasting, so the distribution utility can share the demand schedules and coordinate interconnection capacity with the ISO / RTO.
iDLS continuously calculates and updates the demand schedules based on short-term and long-term load forecast calculations and automatically transfers the transmission demand limit schedules via built-in communication protocols
to protect and enforce set demand schedules.
As part of a unified electrical Digital Twin platform, etap iDLS model-driven load curtailment solution utilizes optimization techniques to shed the minimum-required distribution feeder loads based on reliability indices, quality of supply, and availability of distributed generation.
iDLS evaluates and determines the capacity of all system components and operating constraints in order to protect the network under steady-state and dynamic conditions.
iDLS utilizes distribution customer’s historical information, priority, and restoration time to determine the optimal combination of loads to shed. Load shedding combinations are selected such that customer satisfaction indices and reliability are
not significantly impacted. Customer priority, number of previous outage incidents, and restoration times are considered in the optimal selection of feeders or loads to be curtailed.
iDLS is integrated into the DERMS solutions of etap ADMS. iDLS continuously evaluates and validates load versus generation unbalance
while considering the impact on voltage support, including monitoring and coordination of DERs to calculate the available reserves.
All load shedding events, reasons for curtailment, protection alarms, devices and customers affected are logged. Contingency and its effects are available in a chronological table allowing planners and operators to assess and minimize load curtailment
requirements to improve overall network reliability, quality of services, and security.
iDLS can be configured to automatically or manually initiate a controlled load curtailment based on load priority blocks, classification, time-of-day, peak demand, and more.
Intelligent Controller includes a rugged programmable control hardware integrated with etap iDLS applications for optimal performance, fast response, redundancy, and cybersecurity.
Quickly and easily evaluate, verify, and confirm load shedding requirements, decisions, and logic in real-time, using the integration of iDLS Controllers and ETAP Digital Twin model and analysis platform.
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We will only process your personal data in accordance with the provisions of the General Data Protection Regulation (GDPR).
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ETAP collects the following personal data in line with the use purposes explained in a subsequent section:
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we will not retain any of your personal information beyond this period and the retention of your personal information will be subject to periodic review. We may keep an anonymized form of your personal information, which will no longer refer
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Under the General Data Protection Regulation (Regulation EU 2016/679) (also known as GDPR), if you are an individual protected by the GDPR you may have certain rights as a data subject. To request information about or avail yourself
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ETAP/Operation Technology, Inc.
Irvine, CA 92618
United States of America
encourages you to periodically review this Policy to be informed of how ETAP is protecting your information.
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