What drives energy automation?

• Increasing electricity demand, exceeding rate of costly grid reinforcement capabilities
  
• Integration of renewables to reach net zero goals, causing loss of synchronous generation and network instability
  
• Manage whole system operation
  
• Grid meshing to improve reliability
  
• Provide energy and flexibility trading market operation
  

+ electrification

+ renewables

+ Net Zero

System Arquitecture

Real time Analysis Engine

Use cases

It is an Energy automation platform that offers advanced Power Management Software ​(PMS) functionality and extends the lifespan of the existing SCADA infrastructure ​while providing enhanced capabilities.

Applications

• Optimize the operation of the HV/MV & LV networks
• Automate the management of DERs such as generation and demand
• Protect the networks using constraint management
• Provide Forecasting/Prediction services
• Enable micro-grid/Islanding automation
• Integrate Energy Markets
• Aggregate Services
• LV automation to mitigate the impact of EV + heatpumps + ....

System Architecture

ZIV HW, SW, modules + engineering services for Levels 1,2,3 & 4

It is a full solution platform offering robust field hardware, substation and enterprise level software

and complete design and integration services. It covers:

- Level 1 DER Controllers. - Level 2 Substation Controllers. - Level 3 and Level 4 Enterprise Software.

#Scalable #Hybrid

A DECENTRALISED architecture is useful for small projects

where the automation platform is deployed at the level 2 substation controller.

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A CENTRALISED architecture can handle large quantities of data and multiple complex applications.

It is deployed centrally at the level 3 data centre in server-based hardware, and optionally at level 2.

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Real Time Analysis

NOVA Engine

Each microservice ​has its own engine.

Any module running on a ​project is an individual service ​that has its own engine, where ​development and deployment ​is carried out independently to ​not interfere with any other ​applications.

It continuously analyses the current network state and alternative N-1 ​states, evaluating thermal and voltage ratings, network transients and fault ​levels to determine the optimal network operation.

The engine offers complete visibility of the network, so the automation ​control can manage the whole network effectively without any blind spots. This ​ties automation to the engine, from small constrain management to large ​enterprise systems.

This approach allows the ZIV Twin Grid to scale efficiently and adapt ​quickly to changing requirements. Each module can be updated or modified ​without affecting the entire system, ensuring seamless operation and ​enhancing the overall performance and resilience of the project. By embracing ​the microservices architecture, ZIV Twin Grid can stay agile, innovative, and ​responsive in the ever-evolving landscape of software development.

Realtime Loadflow ​Analysis

The Load Flow Component of the Nova Engine performs a set of calculations using a model of the power system network and power flow data both obtained from the ANM FEP. The network model and the power flow data may represent historical, forecast, simulated or real-time data depending on how the Nova Engine is being used.

Fault Level Analysis / ​Transient Analysis

Real time calculation of system fault levels allows the management of circuit breaker operations. Integration with available DERs enables a system where DERs can be tripped, and breakers can be managed in order to reduce excessively high or low fault levels if required.

Rating Analysis and ​Contingency Analysis

In order to ensure that the system is capable of delivery of the required services at all times this module uses contingency analysis to establish that the power flows and voltages remain within acceptable limits under defined abnormal or N-1 running arrangements

Adds ON

Thermal and Voltage ​Violation Detection

The Violation Checking and Generator Curtailment module involves running the power flow analysis and identifying all the thermal and voltage constraints in the network. Several settings are available to allow users to define the thermal and voltage limits for components on an individual and system wide basis..

VPP Ireland

Small rural distribution network ​with a high degree of DER ​penetration. IRELAND

PowerPotential - ​Energy Market UK

Large distribution network. The ​system includes an interactive ​energy market where flexibility ​services (Active Power and ​Reactive Power) can be procured ​as part of an energy market for ​balancing services.

First Realtime Loadflow in UK.

Largest ANM System in Europe

Mongolia - ​Transmission ANM

This project demonstrates a ​single application system ​providing thermal and voltage ​constraint management over a ​wide geographic area.

Model based L2 ANM, ​UK

L2 ANM system that manages all ​constraints, Seasonal Ratings, ​Shared Ratings and Reverse ​Power Flow. The system ​dynamically adapts to actual ​network topology and in ​response to thermal constraints ​setpoints are issued to DERs ​based on Merit Stack.

New connections, UK

The ANM system provides utility ​with the ability to actively ​manage new generation ​connections to ensure the ​network will continue to operate ​within its operational limit.

Four generation sites ​management from a ​substation. UK

This Generation Management ​System is implemented at a GSP ​Substation and was required to ​manage thermal constraints on ​cables and transformers, voltage ​constraints and export ​constraints. The system ​managed 4 generation sites

Hybrid arquitecture, ​Isles case

This is a thermal constraint management system that is deployed as a hybrid architecture. The Level 2 controller is deployed on the island and is connected to the centralised system on the mainland.

Customer: SSEN (Scottish and Southern Electricity Networks)

ZIV TWIN GRID platform plays a vital role in the Shetland Islands, where over 100 islands rely on local power generation.

Fast of connection of new power plants to the grid

Savings in grid reinforcement

Avoid revenue lost annually on account of improper monitoring and control of load flow

• Generators - 64
• Busbars - 149
• Circuits - 141
• Circuit Breakers - 129
• Transformers - 29

Customer:

Executed in collaboration with UB Grid Consultancy Ltd and Monhorus LLC, showcases the effectiveness of smart grid techniques in the challenging context of Mongolia's harsh climate.

• Solar Power Plant Capacity: 30MW
• Energy Production: 57,000MWh
• Households Served: 27,000
• Carbon Reduction: 45,000t annually

What is the difference ​between ZIV Twin Grid and ​SCADA?

ZIV Twin Grid is an automation platform. It is ​software that lays on top of the existing SCADA ​monitoring and control infrastructure. The Twin Grid ​system takes real time readings of SCADA signals ​and combines it with a model of the power system ​network.

Calculations can then be performed on the full ​system model to identify constraints, and setpoints ​are sent to the assets in real time to increase or ​reduce generation to resolve those constraints.

The ability to combine real time data with a physical ​system model is the principal enabling technology ​which facilitates a wide range of services such as ​ANM, aggregation, predicted or future asset analysis ​and scheduling, and energy market based services.

What are the differences between

L1, L2, L3 and L4?

These levels correspond to the SGAM (Smart Grid Architecture Model) ​zones that represent hierarchical levels of power system management.

• Level 1 corresponds to the field level, where a L1 Controller (provided ​by ZIV) is situated at the intake substation for a DER (wind farm or ​solar plant) that interfaces between the ANM system and the DER, for ​example by sending calculated setpoints from the ANM to the DER.
  

• Level 2 is the substation level, where a L2 controller is located in a ​primary substation and communicates with the L1 controller. In small ​scale systems, this can correspond to a decentralised ANM system that ​automates a smaller part of the network, but it is limited to load flow ​calculation and simple constraint management. In larger systems, the ​L2 controller receives all information from the substation and ​communicates with the L3.
  

• Level 3 is the operations level, where the software cluster is deployed ​at the control/data centre. All medium to large projects require a L3, ​which has the capabilities to run a complete list of applications.
  

• Level 4 is the enterprise level. This is where the energy trading ​platform sits in, allowing DER owners to place bids and system ​operators to buy energy and flexibility.
  

What are the main differences ​between decentralised and ​centralised systems? What ​advantages do each one of them ​have?

In a decentralised system, applications run ​on the hardware located in the level 2 ​architecture, such as an RTU at a ​substation. Decentralised systems are ​useful for small projects running simple ​ANM and constraint management.

A centralised system is deployed at a level ​3 data centre in server-based hardware, ​where multiple schemes can be managed ​centrally. These systems are able to handle ​larger quantities of data and can include ​any application, especially useful if ​complex user interfaces are required.

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What is a microservice?

What impact do heat ​pumps and LV loads ​have on LV ANM?

What are aggregate ​services?

Where is the network ​model obtained from? ​How do we ensure that the ​data is mapped correctly?

A microservice is a software term to define an ​architectural style where a product is a collection of ​services that are independently deployable and ​loosely coupled, enabling the delivery of large ​complex projects rapidly and reliably.

For ZIV Twin Grid, this means that any module ​running on a project is an individual service that has ​its own engine, where development and deployment ​is carried out independently to not interfere with any ​other applications.

This approach allows the ZIV Twin Grid to scale ​efficiently and adapt quickly to changing ​requirements. Each module can be updated or ​modified without affecting the entire system, ​ensuring seamless operation and enhancing the ​overall performance and resilience of the project. By ​embracing the microservices architecture, ZIV Twin ​Grid can stay agile, innovative, and responsive in the ​ever-evolving landscape of software development.

In a low voltage ANM system, these ​small-scale assets can be monitored for ​various reasons such as increasing or ​reducing their demand to resolve ​constraints in their local networks or be ​scheduled to recharge when energy cost ​is at its lowest price. Smart metering is ​usually required to integrate these ​assets to a market system, typically ​done by an aggregator due to the large ​number of services.

TAggregators are independent ​intermediaries that coordinate and ​aggregate generation and demand ​responses from local consumers and ​enable their participation in energy ​markets. Our platform provides services ​to allow communication between the ​individual asset owners, the ​aggregators, and the energy market ​operators (although this feature is ​currently under development).

For simple ANM schemes (Class 1 and Class ​2 systems) there is no need for a detailed ​network model. A simple topological diagram ​is sufficient to create the network model. ​Large systems (Class 3, Class 4, and other ​complex services) do require a more ​accurate and representative power system ​model.

Typically, the client’s planning team provide ​these network models in PSSE, DigSilent, or ​another format. They are then converted into ​the appropriate format for the ZIV database, ​and the SCADA signals are mapped onto this ​model. Data quality checks are performed to ​ensure that the built model accurately ​represents the client’s network.

Next step

Let`s spend 10 min together to identify your key issues and the best demo

• A. WHOLE SYSTEM
  
• B. RURAL GSP
  
• C. LV AUTOMATION
  
• D. TRADE

E. ...

• Overview of scalable and modular architecture, all the way from transmission ANM to LV ANM
  
• Multiple application modules run in parallel in different network areas
  
• Overview of real time analysis engine with load flow fundamentals
  

This project demonstrates a small rural distribution network with high penetration of renewable energy such as solar and wind farms and battery systems.

These ANM schemes are placed in network areas where there are constraints caused by high energy penetration, large demands, thermal ratings of lines or transformers, instability, etc. and helps the network operator to have full visibility of the network area with automated control.

The software, deployed at the control centre, receives real time inputs of the network state, and calculates setpoints to resolve any constraints, applied at the generators with local control hardware.

Introduction

Load Flow

Generator Controls

Constraint Management

Depending on the size of the project and the quality of available data, a scheme can go from simple constraint management to voltage management, fault level and transient analysis, and prediction mechanisms to support energy markets and project planning.

Introduction

This project demonstrates a small rural distribution network with high penetration of renewable energy such as solar and wind farms and battery systems.

Network Model and Load Flow

A project requires a static network model and dynamic monitoring data for the software engine to analyse the network through load flow conversions every 5 seconds.

Network Model and Load Flow

A project requires a static network model and dynamic monitoring data for the software engine to analyse the network through load flow conversions every 5 seconds.

An automation scheme requires static data of the network area to model it into a single line diagram.

The grid infeed represents the connection to the high voltage transmission network.

The generators (or distributed energy resources - DERs) export active and reactive power into the network, causing forward powerflow.

The demands import active and reactive power, resulting in reverse power flows in the network. Due to these different flows, circuits in the network may have forward and reverse ratings.

ZIV Twin Grid also needs dynamic data to run the algorithm. The platform lays on top of the SCADA system, taking readings in real time of the network topology and power flows via remote terminal units at substations, which are fed into the analysis engine to produce load flow conversion and view constraint points. The algorithm calculates setpoints based on a priority stack to resolve these constraints. The engine runs approximately every 5 seconds, reviewing the state of the network and rearranging setpoints as needed to solve issues as quick and optimally as possible.

Generator Controls

The DERs under automatic control have technical dashboards to observe and update specific details, statuses, and operating modes.

Generator Controls

The DERs under automatic control have technical dashboards to observe and update specific details, statuses, and operating modes.

Many different types of generators can be modelled into these projects: solar and wind farms, tidal and wave generators, industrial and commercial power plants, domestic or community loads, etc. These are controlled with L1 local access controller (LAC) hardware.

Any controlled DER will have a technical details dashboard where the owner can input the general details for the DER: name, location, generation type, MPAN numbers, etc.

The active power details contain MW ratings, ramp rates (rate of increase or decrease of power export in time), and the reactive power details show the voltage control mode of the generator, leading and lagging exports, power factor, etc.

The active (MW) and reactive (MVAr) power ratings can be represented by a PQ envelope. The power output of a generator will always fall within its PQ envelope, and they will look different depending on the energy source type and generator capabilities.

Whenever a DER losses communication with the software, it will enter a comms fail mode and several timers and failsafe setpoints can be set for the DER to enter and exit this mode safely. A DER can also be set into local mode for maintenance reasons, or in SCADA mode if needed to be controlled by a SCADA panel/engineer.

A DER will be under automatic control in ANM mode, where the algorithm will send a setpoint depending on their position in a merit stack.

Constraint Management

The analysis engine observes the state of the network, identifies constraints, and the algorithm calculates setpoints to control the DERs to resolve issues in real time.

Constraint Management

The analysis engine observes the state of the network, identifies constraints, and the algorithm calculates setpoints to control the DERs to resolve issues in real time.

Any scheme can be accompanied by several user interface dashboards for user input and visual data output. This one shows an overview of the ANM system, listing all ANM controlled DERs in the network, their active and reactive output, ANM setpoints, and we can see they are all enabled to be controlled by ANM and inside the merit stack.

A simple topology change in a network – for example a circuit breaker going from closed to open due to maintenance – can lead to constraints due to the flow of power in a line being higher than its line MVA rating. These real time details are sent from the supervisory control at the substation (SCADA system) to the software at the control centre.

Once the constraint is identified, the algorithm will calculate the optimal way to resolve the constraint by curtailing the generation based on the merit stack, and send MW/MVAr setpoints to the DERs in the network to curtail the output power to resolve the constraint.

The dashboard displays the generators’ active power as they curtail across time. Initially they will all reduce their output to clear the constraint, but they will be rearranged to export based on their merit stack position and ramp rates. The dashboard can also show timeseries for reactive power, power flows, or voltages.

• How are you managing the addition of local ​decentralised generation?
  

• How are you integrating energy aggregators ​with the larger distribution system?
  

• Do your clients have EV, heat pumps, and ​other LV assets that can use some ​visibility?
  

•Standard ANM (Optimise solution) ​in a low voltage network with ​localised generation

•Local DER and Aggregator ​integration

• Thermal Constraint Manager at ​low voltages

•Would you like to forecast congestion issues in ​your network?

•Would you like to be able to forecast asset ​curtailment to prevent revenue losses?

•What tools do you have to plan and create ​market schedules?

•How are you planning on accommodating ​flexibility trading?

•Would you like to have a platform to facilitate ​energy trades between network operators and ​asset owners?

Energy market placed in the South of England, with multiple networks with ANM ​schemes. The system operators enable the energy trade between Network ​Operators and asset owners. This demo covers Control, Optimise, Predict and ​Trade, as multiple networks under ANM schemes trade energy based on ​predictions.

•Integrate of demand and generation prediction, and congestion forecasting

•Interface with different market participants

•Facilitate energy trading

ZIV TWING GRID - TRADE image

• A. WHOLE SYSTEM
• B. RURAL GSP
• C. LV AUTOMATION
• D. TRADE

E. ...

questions

next meeting

System Overview

How does the system work? Outputs. Architecture. How to Implement an ANM system

How does the system work?

2’ system architecture & functionality

System Benefits

22’ ANM Webinar recording

Does National Grid use

Active Network Management (ANM)?

https://www.nationalgrid.co.uk/our-network/active-network-management-anm