20-25 May 2022
DISTRIBUTECH 2022

Sessions

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Knowledge Hub
Fixing Grid Volatility with Energy Storage
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query_builder 11:00am - 11:30am
place 3043, Exhibit Floor
card_travel Presentation
mic English
Fixing Grid Volatility with Energy Storage
Sponsored by PolyJoule

This session offers an introduction to a new energy storage option using conductive polymer technology, from PolyJoule, an MIT-spinoff. The presentation will explain how the technology works, what applications it serves, and specifically how the company intends to fix grid volatility using this new energy storage technology.
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Conference
A T&D View of the Texas 2021 Arctic Storm and Some of the Lessons Learned
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query_builder 11:00am - 11:30am
place C148, First Level
card_travel Presentation
mic English
A T&D View of the Texas 2021 Arctic Storm and Some of the Lessons Learned
In February 2021, Arctic storm Uri caused extremely low temperatures for Texas, precipitated an ice storm in portions of Texas, and caused generation outages that resulted in ERCOT shedding up to 20,000 MW of firm load for several days. While this unprecedented event resulted in tragic and horrible situations across the state, exercising the preplanned fundamental remote-controlled load shed prevented the state from going into a total blackout and enabled electric service to be maintained to hospitals and other supercritical facilities. This presentation will review the situation from a T&D perspective and will cover the various lessons learned from the event.
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Conference
Big Data Analytics for Transformer Health at Oncor
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query_builder 11:00am - 11:30am
place C142, First Level
card_travel Presentation
mic English
Big Data Analytics for Transformer Health at Oncor
As the largest utility company in the state of Texas, Oncor provides power to nearly 4 million customers through more than 1 million distribution transformers. Monitoring and maintaining Oncor’s assets, including transformers, is critical to realizing system reliability and the highest quality service for our customers. Transformers can fail from damaged coils and overload degradation. When a transformer fails, a reactive replacement can take more than 4 hours, but proactive replacements often take less than 1 hour. If we can accurately predict transformer failures, then replacement labor and customer outage minutes will be reduced significantly. Oncor’s Maintenance Strategy group started to monitor transformer voltage in 2016 and several other proactive maintenance programs have been developed since then. As of May 2021, 2719 issues have been resolved using transformer health analysis. Maintenance Strategy projects have saved $2.3 million in equipment, labor, and expenses; and 3 million customer interruption minutes. Predictive analytics are able to identify voltage signatures that are precursors to failure and forecast transformer loads---especially overloads. In this presentation, we will show three applications of big data analytics to monitor transformer health. We use Spark, a unified analytics engine for big data, to analyze data collected from over 3.7 million AMS meters (Advanced Metering System) with 15-minute resolution. First, AMS voltage data are analyzed to detect pre-fault voltage signatures so that the transformers can be replaced before failure. Next, load data is analyzed to discover overloaded transformers. We will show how we rank the transformers in order to prioritize maintenance for every distribution transformer in Oncor’s system. Finally, the voltage and load data are also used to develop a regression-tree model for transformer load forecasting, which is needed for distribution planning and operation.
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Conference
Screening and Evaluating Non-wires Alternative Projects
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query_builder 11:00am - 12:00pm
place C145, First Level
card_travel Panel
mic English
Screening and Evaluating Non-wires Alternative Projects
There is an increasing interest to consider non-wires alternatives (NWAs) to defer or avoid conventional distribution system upgrades. NWAs can introduce complex and time-consuming additional considerations and analytics within the distribution planning. Various types of technical and economic NWA screening criteria and methods have the potential to streamline the consideration of NWAs allowing to identify at each stage of the planning process if it is warranted to proceed considering NWAs in subsequent planning stages. This panel will discuss ongoing developments of NWA screening and evaluation practices across the U.S. Moreover, lessons learned, challenges, and gaps within the current NWA screening and evaluation practices will be discussed.
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Knowledge Hub
Development of an Asset Health Framework for Transmission Lines
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query_builder 11:00am - 11:30am
place 143, Exhibit Floor
card_travel Presentation
mic English
Development of an Asset Health Framework for Transmission Lines
Over the last several years, Oncor has developed a robust internal GIS application, OTIS, that contains extensive information about Oncor's Transmission System. By aggregating this GIS information with historical circuit reliability data, Oncor plans to develop a user-friendly interface that will help prioritize maintenance and asset renewal on the Transmission Line System. This session will explain OTIS and discuss how the utility is using data to maintain a healthy and robust transmission system.  
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Knowledge Hub
Building the Utility Business Capability Model
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query_builder 11:00am - 11:30am
place 1041, Exhibit Floor
card_travel Presentation
mic English
Building the Utility Business Capability Model
A business capability is the organization of the people, processes, tools, data, and expertise, to provide a business function/service. A business capability model then is categorization by capability area of business functionality and the decomposition of those into more detailed functions/services, software applications, and technologies, and in this instance, with definitions applicable to utilities. What is surprising is that Business Capability Models are often not well understood or used in the utility industry. This presentation will share how the Electric Power Research Institute (EPRI) leveraged numerous expert references such as the APQC process classification framework, the Project Management Institutes project management guidance, EPRI's own Utility Data Management Framework, and several others, and then worked with internal subject matter experts and utility experts to create a generic, publicly available model. Attendees will learn about the systems used to inform this model, how input from utility experts also informed the content, and how the model was tested at the participating utilities to ensure that the capabilities described met the expectations of utility business leaders.
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Conference
An Insight into PA’s Steel City’s Real-time On-demand Meter Interrogation Tool
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query_builder 11:00am - 11:30am
place C147, First Level
card_travel Presentation
mic English
An Insight into PA’s Steel City’s Real-time On-demand Meter Interrogation Tool
With any AMI system, a utility will have multiple systems/interfaces that help in retrieving and collecting the data available from Smart Meters. However, in most cases, these interfaces are designed for established high-volume “batch” processes such as billing. It is typically either too time-consuming to retrieve the data on-demand, requiring navigation across multiple systems, or not available at all for some departments/groups based on licensing, security, or other limitations. In today’s world, having the meter data at your fingertips is critical to many areas outside the traditional billing groups to provide excellent customer service or make effective operational decisions. The availability of real-time meter data to make decisions instantaneously saves time, money, and resources. One of the challenges Duquesne Light Company was experiencing was that its Call Center, Operations Center, Billing, Engineering and SMOC groups needed access to meter status information and real-time meter data (i.e. meter switch state, load side voltage, ping status, reads, customer information, etc.) but all of this data was not available from a common user interface, so end users would have to navigate across multiple systems to obtain it, which is both time-consuming and complicated. To help address these issues, DLC initiated a project to co-develop an On-Demand Meter Interrogation (ODMI) solution. The ODMI web-service tool marries customer data with meter information and presents it in a unified format to the end-user. For instance, if a customer calls with a question/problem with their meter, the customer service representative can utilize customer provided information such as phone number, name, address, and account/meter number to perform the following real-time actions: Perform a meter ping Get the meter disconnect switch status Get current voltage at the meter Detect if load side voltage is present Retrieve all current register reads This presentation will provide an overview of the ODMI project, including use cases driving the development of the ODMI application, details of the project itself, DLC groups/departments leveraging the solution, and lessons learned/next steps in the evolution of this new tool at DLC.
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Conference
The DERMS Journey – Optimizing DERs for Multiple Use Cases
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query_builder 11:00am - 12:00pm
place C141, First Level
card_travel Panel
mic English
The DERMS Journey – Optimizing DERs for Multiple Use Cases
The proliferation of distributed energy resources (DERs) in the distribution system is creating an unprecedented series of opportunities and challenges for grid operators. The ability to harness the power of DERs through a distributed energy resource management system (DERMS) is critical in order to gain visibility into the location and operational characteristics of DERs with control over those assets also being key. This session will present diverse viewpoints from an investor-owned utility, a public power authority, and a co-op on the value of DERMS, how to optimize DERs for multiple use cases, where each organization is on their DERMS journey, and where they see the final destination of that journey. font-family:"Arial",sans-serif;
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Conference
IEEE 1547-2018 Interoperability: Game-changing Impact on the Modern Grid
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query_builder 11:00am - 11:30am
place C155, First Level
card_travel Presentation
mic English
IEEE 1547-2018 Interoperability: Game-changing Impact on the Modern Grid
In the 2018 revision to IEEE 1547 there was a paradigm shift in the expectations for DER. IEEE 1547-2003 required that DER disconnect from the grid if grid conditions went outside of tolerance. In IEEE 1547-2018 DER are recognized as an important resource in maintaining grid stability using adjustable DER functions. The ability to adjust DER behaviors requires grid operator interactions with the DER and therefore communications capabilities, so the standard defines both functional and communications requirements. One of the biggest changes to the IEEE 1547-2018 standard was the addition of the interoperability section which defines the communications requirements. For utilities planning to leverage a growing fleet of DER resources, IEEE-1547-2018 interoperability can have a major impact. This presentation will summarize and simplify the new IEEE 1547-2018 Interoperability requirement by focusing on common questions from industry.
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Conference
How to Overcome Data Challenges to Fully Realize Connected Transportation
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query_builder 11:00am - 12:00pm
place C154, First Level
card_travel Panel
mic English
How to Overcome Data Challenges to Fully Realize Connected Transportation
In this session, an expert panel will explore a vision of Smart City transportation that includes connected traffic signals and vehicles interacting with each other. They will also dive into real-world initiatives that are making this a reality. Along the way, they will uncover some of the unsolved roadblocks and discuss how different industry participants are planning to address them. Attendees will not only gain a better understanding of Smart City transportation but also important aspects that need to be addressed any time multiple independent industries wish to tap the value of another’s data. 
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