Category Archives: Data / Cloud / DLT

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Application of Big Data in Power System Reform

 

Application of Big Data in Power System Reform

Abstract:  Power grid operation and maintenance decision-making reform is an important part of power system reform. With the construction of massive historical quasi real-time data management platform, the reform of power system is also advancing. However, in the face of massive data explosion, the business level and business logic become disorganized and redundant. Based on the actual situation of Shenzhen Power Supply Bureau, the sg-erp data center is composed of structured data center, massive data center, unstructured data center and power grid GIS data center. With the unprecedented growth of business application data, the data center can improve business logic and promote power system reform. The experimental results show that big data technology has a broad application prospect in the reform of power industry.

CLICK HERE for complete paper

Smart Grid Blockchains

Power Management For Data Centers Challenges And Opportunities

print(“Python”)

Python 3.14.0 was released for public use October 7th.

 

“Python is the programming equivalent

of a Swiss Army Knife.”

— Some guy

 

The Python Standard Library

Open source standards development is characterized by very open exchange, collaborative participation, rapid prototyping, transparency and meritocracy.   The Python programming language is a high-level, interpreted language that is widely used for general-purpose programming. Python is known for its readability, simplicity, and ease of use, making it a popular choice for beginners and experienced developers alike.  Python has a large and active community of developers, which has led to the creation of a vast ecosystem of libraries, frameworks, and tools that can be used for a wide range of applications. These include web development, scientific computing, data analysis, machine learning, and more.

Another important aspect of Python is its versatility. It can be used on a wide range of platforms, including Windows, macOS, Linux, and even mobile devices. Python is also compatible with many other programming languages and can be integrated with other tools and technologies, making it a powerful tool for software development.  Overall, the simplicity, readability, versatility, and large community support of Python make it a valuable programming language to learn for anyone interested in software development including building automation.

As open source software, anyone may suggest an improvement to Python(3.X) starting at the link below:

Python Enhancement Program

Python Download for Windows

Python can be used to control building automation systems. Building automation systems are typically used to control various systems within a building, such as heating, ventilation, air conditioning, lighting, security, and more. Python can be used to control these systems by interacting with the control systems through the building’s network or other interfaces.

There are several Python libraries available that can be used for building automation, including PyVISA, which is used to communicate with instrumentation and control systems, and PyModbus, which is used to communicate with Modbus devices commonly used in building automation systems. Python can also be used to develop custom applications and scripts to automate building systems, such as scheduling temperature setpoints, turning on and off lights, and adjusting ventilation systems based on occupancy or other variables. Overall, Python’s flexibility and versatility make it well-suited for use in building automation systems.

Subversion®

Building Automation & Control Networks

Date & Time: Representations For Information Interchange

“A Philosopher Lecturing on the Orrery” | Joseph Wright (1766)

Most nations follow the day/month/year format (07/01/19 for January 7, 2019, for example), but the United States adheres to its own format of month/day/year (1/7/19 or 1/7/2019).   The potential for misinterpreting dates across national boundaries is the logic for ISO 8601:2019 – Data Elements And Interchange Formats – Information Interchange – Representation Of Dates And Times, the ISO format for dates represents year, month, and day from the largest unit to the smallest, most specific unit of time.  The ISO date format is the date format used in SQL and is the default date setting on many computers.

ISO 8601-1:2019 Date And Time – Representations For Information Interchange – Part 1: Basic Rules

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Time and Date

How the ISO Date Format Tells Today

ISO Date Format

Date and time formats used in HTML

Making Greenwich the centre of the world

Data Center Wiring

The bookwheel, also known as a revolving bookcase, was invented by an Italian scholar and polymath named Agostino Ramelli. Ramelli was born in 1531 in Ponte Tresa, a town in present-day Italy, and he lived during the Renaissance period.

Ramelli’s invention, described in his work titled “Le diverse et artificiose machine del capitano Agostino Ramelli” (The Various and Ingenious Machines of Captain Agostino Ramelli), was published in 1588. This book showcased a collection of 195 mechanical devices.  

Ramelli’s work contributed to the growing interest in mechanical inventions during the Renaissance period. His bookwheel design remains a fascinating example of early engineering and ingenuity, highlighting the desire for knowledge and practical solutions in the pursuit of learning and scholarly endeavors.

2026 NEC Articles 645-646-647 Information Technology Equipment, et. al First Draft Report

2026 NEC Articles 645-646-647 Information Technology Equipment, et. al Second Draft Report

“Bookwheel” Early Data Center

The standard of care for wiring safety for data centers —  a continually expanding presence in education communities even before the pandemic  — is established in National Electrical Code Articles 645 (Information Technology Equipment), Article 646 (Modular Data Centers) and Article 647 (Sensitive Electronic Equipment).   You will notice that these articles cover the topic comprehensively and bear the imprint of competing Producer-Interest groups.  There are no User-Interest representatives on Code-Making Panel 12 that represent the final fiduciary in education communities even though education communities are one of the largest markets for information and communication technology systems.

The current version of NFPA 70 is linked below:

2026 National Electrical Code

2023 National Electrical Code

Transcripts  of technical committee action during the 2026 revision (CMP-16) are linked below because they will inform our recommendations for the 2026 National Electrical Code.  Keep in mind that the Technical Correlating Committee is moving content around the Code in order to make the NEC easier to use by experts.

CMP-16 First Draft Report | Public Input with Committee Response 

CMP-16 Second Draft Report

The transcripts of technical committee action during the 2023 revision are linked below because they will inform our recommendations for the 2026 National Electrical Code.

Code‐Making Panel 12 Public Input Report

Code-Making Panel 12 Public Comment Report

National Electrical Code CMP-12

We will use these in our exploration of what we might propose for improvements in the 2026 revision.  Public comment on the First Draft of the 2026 Edition will be received until August 28th.

The issues that have been in play in these articles of the NEC are familiar to veterans of the “food fight” – occupancy classification, cable specifications, fire protection, ventilation, energy consumption, surge protection, licensing of engineers. etc.  We look for market-making excesses by opposing stakeholders that seek to limit their risk while raising the (financial) risk to education communities.

We encourage our colleagues to participate in the NFPA code development process directly.  We also encourage stakeholders in education communities — students, faculty and staff  to join us during any of the teleconferences we co-host with the IEEE Education & Healthcare Facilities Committee 4 times monthly in both European and American time zones.   See our CALENDAR for the next online meeting.

"One day ladies will take their computers for walks in the park and tell each other, "My little computer said such a funny thing this morning" - Alan Turing

 

Related standards:

NFPA 75: Standard for the Fire Protection of Information Technology Equipment

2024 International Building Code: Special Detailed Requirements Based on Occupancy and Use

2024 International Building Code: Section 304.1 Business Group B

Carnegie Classifications

The Carnegie Classification of Institutions of Higher Education, or simply the Carnegie Classification, is the framework for classifying colleges and universities in the United States. Created in 1970, it is named after and was originally created by the Carnegie Foundation for the Advancement of Teaching, but responsibility for the Carnegie Classification was transferred to Indiana University‘s Center for Postsecondary Research, in 2014.

The framework primarily serves educational and research purposes, where it is often important to identify groups of roughly comparable institutions. The classification includes all accredited, degree-granting colleges and universities in the United States that are represented in the National Center for Education Statistics Integrated Postsecondary Education Data System.

The Carnegie Classification of Institutions of Higher Education ®

A Blockchain-based decentralised university

Blockchain is a decentralized, immutable, and transparent digital ledger that securely records and verifies transactions across multiple computers or nodes. It operates through a network of participants who collectively validate and store each transaction, creating a chain of interconnected blocks. Each block contains a unique cryptographic hash that links it to the previous block, ensuring data integrity.

The distributed nature of blockchain eliminates the need for intermediaries, increases security, and fosters trust among participants. It has applications beyond cryptocurrencies, enabling efficient and reliable solutions in various industries such as finance, supply chain management, healthcare, education and accreditation.

John Domingue | TEDxOpenUniversity:

“I believe that with blockchain technology we can create a radically new type of university: a DAO University. A DAO is a Decentralised Autonomous Organisation which operates with no central control and no humans in the loop and are based on Smart Contracts: pieces of computer code on a blockchain which can represent and enact financial and legal contracts. ”

 

 

Miguel de Cervantes (Don Quixote): “Ladran Sancho, señal que cabalgamos”  

“Let the dogs bark Sancho, it is a sign that we’re moving forward.”

Blockchain & Distributed Ledger Technologies

Accreditation 200

Interoperability of Distributed Energy Resources

IEEE Standard for Interconnecting Distributed Resources with Electric Power Systems is effectively the global standard for interconnection of distributed resources with large scale electric power systems.  It provides requirements relevant to the performance, operation, testing, safety, and maintenance of the interconnection.  Apart from the power reliability and sustainability zietgeist we have seen in campus bulk power distribution systems, this title is usually referenced in research projects undertaken in university research enterprises.  The standard is intended to be universally adoptable, technology-neutral, and cover distributed resources as large 10 MVA.  To wit:

IEEE 1547-2018 Standard for Interconnection and Interoperability of Distributed Energy Resources with Associated Electric Power Systems Interfaces: This standard — emerging from IEEE Root Project 1547.3 — 2007 asserts first principles for improved performance for distributed energy resources, connected to the grid. NIST funding aided this standard’s development.   Links to related titles, recently released for public consultation, are listed below:

P1547.2/D6.5, August 2023 – IEEE Approved Draft Application Guide for IEEE Std 1547™, IEEE Standard for Interconnecting Distributed Resources with Electric Power Systems

1547.3 Guide for Cybersecurity of DER Interconnected with Electric Power Systems | Comments due May 27

Guide to Using IEEE Standard 1547 for Interconnection of Energy Storage Distributed Energy Resources | Comments Due May 6th

We collaborate with the IEEE Education & Healthcare Facilities Committee on this an related titles.   This committee’s meetings are held 4 times monthly in European and American time zones.  International Electrical Technical Commission titles are items on the standing agenda; a few representative titles are listed in addition to IEEE titles below:

IEC 62746-10-1:2018 Systems Interface Between Customer Energy Management System and the Power Management System – Part 10-1: Open Automated Demand Response: This standard specifies how to implement a two-way signaling system, between utilities and customers, thus allowing utilities to adjust the grid’s load, based on demand. NIST’s David Holmberg and Steve Bushby presented research to the International Electrotechnical Commission (IEC), aiding this US standard’s acceptance as an international one.

IEC 62746-10-3:2018, Systems Interface Between Customer Energy Management System and the Power Management System – Part 10-3: Open Automated Demand Response – Adapting Smart Grid User Interfaces to the IEC Common Information Model: Related to the previous standard, IEC 62746-10-3:2018 defines the interfaces, as well as, the messaging for this two-way signaling system. NIST’s Holmberg and Bushby also facilitated this international standard’s acceptance.

IEEE 21451-001-2017 Recommended Practice for Signal Treatment Applied to Smart Transducers: This guide supports the ability to uniformly processing and classifying data from sensors and actuators in a smart system. The standard enables a common interpretation of data and grid interoperability. NIST personnel served on this standard’s working group, providing NIST research on sensors and actuators.

IEEE 2030.7-2017 Standard for the Specification of Microgrid Controllers: This standard established requirements for controllers, used to sense and manage microgrids. These requirements inform the manufacturing of controllers, and ultimately enable grid interoperability. NIST funding aided this standard’s development.

IEEE 2030.8 Standard for Testing Microgrid Controllers: This testing standard helps verify that microgrid controllers meet these requirements, and, thus, will work as intended. NIST funding aided this standard’s development.

IEEE 1547-2018 Standard for Interconnection and Interoperability of Distributed Energy Resources with Associated Electric Power Systems Interfaces: This standard ushers in a new era of improved performance for distributed energy resources, connected to the grid. NIST funding aided this standard’s development.

To inform a United States position on IEC titles we follow the lead of the USNA/IEC whose activity we also track in the IEEE E&H Committee

Issue: [11-17]

Category: Electric, Energy

Colleagues: Mike Anthony, Bob Arno, Neal Dowling, Peter Sutherland

Standards Coordinating Committee Membership

Microgrids

 

Cloud Computing Paradigm

“The greatest danger in modern technology isn’t that machines will begin to think like people,
ut that people will begin to think like machines.”
— Michael Gazzaniga

NIST Cloud Computing Standards Roadmap

The “next big thing” reveals itself in hindsight.  Some areas of interest and potential advancements include:

  1. Edge Computing: Edge computing brings computation closer to the data source, reducing latency and bandwidth usage. It enables processing and analysis of data at or near the edge of the network, which is especially important for applications like IoT, real-time analytics, and autonomous systems.
  2. Quantum Computing: Quantum computing holds the promise of solving complex problems that are currently beyond the capabilities of classical computers. Cloud providers are exploring ways to offer quantum computing as a service, allowing users to harness the power of quantum processors.
  3. Serverless Computing: Serverless computing abstracts away server management, enabling developers to focus solely on writing code. Cloud providers offer Function as a Service (FaaS), where users pay only for the actual execution time of their code, leading to more cost-effective and scalable solutions.
  4. Multi-Cloud and Hybrid Cloud: Organizations are increasingly adopting multi-cloud and hybrid cloud strategies to avoid vendor lock-in, enhance resilience, and optimize performance by distributing workloads across different cloud providers and on-premises infrastructure.
  5. Artificial Intelligence and Machine Learning: Cloud providers are integrating AI and ML capabilities into their platforms, making it easier for developers to build AI-driven applications and leverage pre-built models for various tasks.
  6. Serverless AI: The combination of serverless computing and AI allows developers to build and deploy AI models without managing the underlying infrastructure, reducing complexity and operational overhead.
  7. Extended Security and Privacy: As data privacy concerns grow, cloud providers are investing in improved security measures and privacy-enhancing technologies to protect sensitive data and ensure compliance with regulations.
  8. Containerization and Kubernetes: Containers offer a lightweight, portable way to package and deploy applications. Kubernetes, as a container orchestration tool, simplifies the management of containerized applications, enabling scalable and resilient deployments.

 

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