Innovative activities

Creation of a smart metering system in the branches of PJSC Rosseti Kuban

Implementation time-frame: 2020–2030

In the reporting period, innovative smart metering devices were introduced in all 11 branches of PJSC Rosseti Kuban.

Smart metering devices are integrated across the Company within the Investment Programme of PJSC Rosseti Kuban to create a metering system as part of the implementation of Federal Law No. 522-FZ dated 27 December 2018 On Amendments to Certain Legislative Acts of the Russian Federation in Connection with the Development of Electricity (Capacity) Metering Systems in the Russian Federation. In the reporting year, the introduction of smart metering devices was carried out, inter alia, as a part of the grid connection procedure for new consumers of a capacity of up to 15 kW.

The project aims to create a smart metering system and integrate it into the innovative systems being established: supervisory control and data acquisition (SCADA), distribution management (DMS), and outage management systems (OMS).

Planned effect:

• Reduced operating costs by taking the readings and power supply parameters of electricity consumers remotely
• Possibility of remote restriction and resumption of power supply to electricity consumers

Digital Labinsk 2 — Sovetskaya 110 kV overhead line

Implementation time-frame: 2021–2025

Design and survey were carried out in the reporting year.

During the construction of the Labinsk 2 — Sovetskaya 110 kV overhead cable line, it is planned to use innovative wire and lightning protection cable and an optical system for monitoring the condition of the wires.

Planned effect:

• Enhancement of the technical parameters of the line without changing its configuration
• Increased reliability

Introduction of charging stations for electric vehicles in branches of PJSC Rosseti Kuban

Implementation time-frame: 2021–2025

On 13 October 2021, the Board of Directors approved the Charging Infrastructure Development Programme.

The objectives of this Programme are as follows:

• Development of non-tariff revenues and provision of new services to consumers
• Improvement of the environmental situation
• Provision of a wide range of electric vehicle owners with the necessary charging infrastructure
• Establishment of a transport corridor for electric transport through the Krasnodar Territory to the Crimean peninsula, with an extensive grid of electric charging stations
• Support to the introduction of public electric transport in the major cities of the Krasnodar Territory (Krasnodar, Sochi)
• Large-scale introduction of autonomous electric vehicles
• Increased volume of electricity delivery
• Higher customer loyalty and promotion of Rosseti Kuban's brand

Planned effect: implementation of the programme will allow Rosseti Kuban to become a major player in the charging infrastructure market for electric vehicles by 2025, as well as the driver of both innovative solutions and technologies and legislative initiatives in this regards in the Krasnodar Territory and the Republic of Adygea.

In the reporting year, three 120 kW Relevant MAX charging stations were purchased for installation in the following branches of Rosseti Kuban: Krasnodar Power Grids, Sochi Power Grids and Slavyansk Power Grids

Development of a unified IoT-platformInternet of Things (IoT) is a set of physical objects connected to the Internet and exchanging data. An IoT-platform is software designed to connect the Internet of Things (sensors, controllers and other devices) to the cloud and access them remotely. It is a mediator between the hardware level (sensor level) and the application level. for dispatching data about the status of substation equipment

Implementation time-frame: 2021–2023

The following technical results were obtained:

• Patent surveys, including patent landscapes based on the surveys carried out
• Specifications
• Requirements for a unified IoT-platform:
  • Сlassification and analysis of approaches to the establishment of a unified IoT-platform depending on an existing state of substation equipment
  • The general principles of the establishment of a unified IoT-platform
  • Area of rational (effective) application of a unified IoT-platform
  • An algorithm for selecting the optimum configuration when designing basic technical solutions for the design of a unified IoT-platform
• A pilot site (implementation site) was agreed to undergo pilot testing

Study of the increment rate of key forest-forming tree species depending on climatic zones and soil quality along the routings of operating overhead lines with the preparation of regional maps for regular clearing of overhead line right-of-ways and provision of recommendations on technique of works

Implementation time-frame: 2020–2022

The following technical results were obtained:

• R&D Report “Characteristics of forest vegetation necessary to determine the rate of overgrowth of overhead line breakthroughs and to develop recommendations on the frequency and methods of clearing the overhead line breakthroughs”
• R&D Report “Effectiveness of existing methods of clearing routes from woody and shrub vegetation (in terms of the impact of clearing methods on annual woody and shrub vegetation growth)”
• Digital layers of geo-information databases on forest vegetation characteristics required to determine the rate of overgrowth of overhead line breakthroughs and to recommend the frequency and methods of clearing

Development of a software package for the assessment and prediction of the technical condition and propagation of defects in 35–110 kV power transformers based on measurements performed by the Automated Monitoring and Diagnostics System and Production Asset Management System (PAMS) data with the issuance of recommendations to the operating personnel

Implementation time-frame: 2021–2023

The following technical results were obtained:

• Report on patent searches and patent surveys
• Pre-design survey at the 110 kV Afipskaya substation and at the executive office of PJSC Rosseti Kuban
• Work project at the 110 kV Afipskaya substation and at the executive office of PJSC Rosseti Kuban
• Specification of equipment and licences
• Report on the installation of the hardware and server components of the automated monitoring and technical diagnostics system
• Software of the forecasting package
• Package of operational and programming documentation for the forecasting software package
• User manual for the forecasting package and Automated Monitoring and Diagnostics System (ASMD) software
• Report on PAMS updating
• Guidelines with general description of the expert models used and recommendations for interpreting the results of the expert models

Automated classification of accidents based on machine learning methods

Implementation time-frame: 2021–2023

The technical results are as follows:

• Report on patent searches and patent surveys
• R&D report containing the following details:
  • The results of survey and refinement of information security incident recording and management processes
  • Classes of the target set of information security incident attributes
  • An initial set of data describing the behaviour of the nodes on the local area network and the actions of users
  • The level of accuracy of the ML-algorithmA machine learning (ML) algorithm is a process or set of procedures that help a model adapt to data with a given purpose. results
  • Requirements for the preparation of historical data on local area network node behaviour and user activity
  • The functional and technical requirements for selecting and configuring ML algorithms agreed with the customer
  • A register of risks and monitoring procedures

Transition to smart 35–110 (220) kV substations

Transition to the grids featuring active adaptation and distributed smart automation and control system

Transition to integrated efficiency of business processes and automation of control systems

Utilisation of new technology solutions and materials in power engineering

Promotion of an innovative development management system and building an innovative infrastructure