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Intelligent Distribution Load Shedding - iDLS™

A dedicated load shedding solution for power distribution networks.

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.

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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

  • Centralized the load shed management
  • Prediction based on operating conditions
  • Minimization of reliability indices impact
  • Optimal load preservation
  • Demand side management
  • Load shedding validation
  • Rotating outages
  • Critical application within DERMs
  • Load curtailment logging & auditing
  • Coordinated with transmission requirements
  • Service restoration
  • Intelligent Controller 

 


 

Challenge

Concerns & Challenges

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Solutions

Solutions

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.

 

Challenge

Determine load shed requirements under various operating conditions and disturbances.

Solutions

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.

 

Challenge

Minimize impact on Quality of Service (QoS) and avoid unplanned blackouts, regulatory violation, penalties, and loss of revenue.

Solutions

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.

 

Challenge

Impact of Distributed Energy Resources (DER).

Solutions

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.

 

Challenge

Coordinate demand transaction limits between ISOs with RTOs.

Solutions

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.  

 


 

Key Features

Key Features

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.


Protection & Capacity Assessment

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.

  • Transmission grid capacity and power transfer limits
  • Under-frequency triggers at transmission subs
  • System over-demand at transmission interconnects
  • Transformer overload for sub-transmission transformers
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Optimized Load Curtailment

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.

  • Load Priority Definitions
  • Capability of components
  • Complete year schedule
  • Operator execution management
Optimized-Load-Curtailment
 

Integrated Distributed Energy Resources Management

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. 

  • Monitoring and assessment of available distributed generation
  • Coordination with DER’s dispatch
  • Impact on voltage support on high DER feeders
  • Total available reserves from DERs
  • Provide coordination with DER dispatch and operating load
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Load Curtailment Logging & Auditing

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.

 

Rotating Outages

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.

  • Rotating schedules and planned outages
  • Rolling blackout pre-defined optimized schedules
  • Complete year schedule
  • Operator execution management
  • Rotation based on operating conditions, type, priority schedule
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Intelligent Controller

Intelligent Controller includes a rugged programmable control hardware integrated with etap iDLS applications for optimal performance, fast response, redundancy, and cybersecurity.

 

Logic Validation

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.

  • Software & hardware controller logic validation
  • Deploy, tune & validate logic in Hardware
  • Optimize & hot-swap logic
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ETAP Intelligent Distribution Load Shedding - iDLS - Solution Demonstration

29:25 Webinars  
The ETAP iDLS solution leverages advanced technologies such as artificial intelligence and machine learning to provide accurate predictions of load demand and provide real-time operational insights to help grid operators make informed decisions. Additionally, iDLS integrates with existing grid infrastructure and control systems, making it easy to deploy and integrate into existing power systems. By providing a centralized load management solution, iDLS helps ensure grid stability and continuity of power supply, while minimizing the impact on connected customers and preventing blackouts and unplanned outages.

iDLS™ - Intelligent Load Shedding

32:52 Webinars  
Learn how ETAP iDLS offers an intelligent model-driven load curtailment solution with optimization techniques to shed the minimum required distribution feeder loads based on reliability indices, quality of supply, and availability of distributed generation.
 
 


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