next step towards semi-automated system operations new ... bujak.pdf · management. common data...

—EPCC

MAY 12-15, 2019

REYKJAVIK

Next step towards semi-automated system operations –new functionalities and project implementation aspects

ABB Vendor Panel presentationJacek Bujak and Anders Hellkvist

—

Next step towards semi-automated system operations -new functionalitiesJacek Bujak

—Grid Automation

May 11, 2019 Slide 3

Worldwide presence

ABB

– 132,000 employees

– $34B revenue

ABB Power Grids

– 39,000 employees

– $11B revenue

– 100 countries

ABB Grid Automation

– 6,000 employees

Leading the way within the Power Grids division

Power Grids DivisionRobotics and

MotionIndustrial

AutomationElectrification

Products

ABB

Microgrids and Distributed Generation

Grid Automation Systems and Service

Grid Automation Products

Enterprise Software

Grid Automation Grid IntegrationGrid

SystemsHigh Voltage

ProductsTransformers

Network Control

—

Network Manager ADMS enables distribution system operators to operate their network reliably and securely whilst facilitating the increased penetration of DER and demand response

Network Manager EMS enables the operators of transmission networks to run the grid system securely and efficiently.

Network Manager GMS for advanced scheduling, dispatch and control of generating power plants

Network Manager MMS provides complete software solutions for managing Central Energy Markets

ABB offering covers full spectrum of customerneeds

Network ManagerDesigned to meet major power sector challenges:

- Rising electricity demand and power system size

- Growing share of renewable production

- Interoperability of transmision and distribution networks

—

Significant increase from developing markets

Challenges - Electricity demand to rise by around 80% through 2040


34% China

14%

13% India

M. East and Africa

13% Europe and N. America

9% South East Asia

11% Rest of the world

6% Latin America

Glo

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l p

roje

cte

d in

cre

as

e i

n

ele

ctr

icit

y d

em

an

d (

15.3

25

TW

h)

Year 2040: 34.887 TWh

Year 2012: 19.562 TWh

Europe and North America (OECD)

3% 26%

Latin America

61% 100%

China

44% 119%

M. East and Africa

74% 152%

India

123% 235%

Growth in primary energy demand Growth in electricity demand

IEA New policies scenario 2012-40

South East Asia

123% 196%

Source: International Energy Agency (IEA), WEO 2014

—

Global installed capacity more than double by 2040

Challenges - Renewable energy


Wind and solar amount to 50% of total renewables in 2040

Source: McKinsey 2011, UNEP 2009, EIU 20121 Share of total power capacity2 Other include bioenergy, geothermal, CSP and marine

Europe & North America (OEDC)

China

Japan771 GW

768 GW

100 GW

SoutheastAsia

109 GW

India

334 GW

M. East & Africa

320 GW

LatinAmerica

186 GW

IEA New policies scenario

Hydro Wind Solar PV Other renewables

0

1 000

2 000

3 000

4 000

5 000

20%10%

64%

GW

2040

27%

6%

2014

7%

2025

17%

48%

21%

10%

40%

29%

Wind Hydro OtherSolar PV

1.825 GW

30%1

3.148 GW

38%1

4.675 GW

43%1

Net capacity additions 2014-2040

2

—Network Manager EMS/GMS/ADMSSolution footprint – designed to meet major power sector challenges

AGC

Economic Dispatch

Reserve Monitoring

Production Costing

Hydro Auto Pilot

Hydro Chain Control

Graphical User Interface

Network applications Generation applications

External Adaptors & Data Exchange

Outage management

Common Data Model, Simulation and Training

SCADA Communications

Trouble call & AMI

Outage notifications

Outage prediction

Estimated Restoration Time

Crew management

Planned work

Switch Order Management

SCADA

Data acquisition

Control

Alarming

Trending

Real-time calculations

Historian

Analytics

State estimation

Security analysis

Optimal power flow

Congestion forecast

Short circuit analysis

Volt Var Control

Power flow

Load flow

FLISR

Overload Reduction

DERMS

A sample of applications shown in the figure above

—

Number ofsignals

Connected

Isolated

Collaborative

AutonomousDigitalization of the Power System

Semi-automated system operations

Limited and local manual control

Semi-automatedsystem operations

Fully-automatedsystem operations

Self-healing, autonomous grids

Manual control from the control center

—Automation in Network Control

Redundancy with automatic switchover at multiple levels:

- Data acquisition and concentration- Control center level, for production, QA and test environments- Automatic monitoring of control system equipment and applications – health monitoring- Full virtualization support

Control system architecture


Increased automation level across the entire Network Manager system




New Data Engineering module:

- Support for Display Layout import - Automatic Generation of Images- Flexible importers from GIS, CIM, CSV/XLSX/XML, etc- Structure browser for fast overview and organization- Creating connectivity and automatic creation of process values


Database and displaymaintenance

May 11, 2019 Slide 10





New Data Engineering module:

- Support for Display Layout import - Automatic Generation of Images- Flexible importers from GIS, CIM, CSV/XLSX/XML, etc- Structure browser for fast overview and organization- Creating connectivity and automatic creation of process values

- SCADA: Load Shedding, Wind Park Control, Switch Analysis and Execution

- Generation: AGC/AVC, aFRR, Hydro Auto Pilot

- Transmission: Modeling: RAS (Remedial Action Schemes), UC in DPF (Unit Commitment in Load Flow)Functionality: Breaker Status Corrections, Volt-Var Control

- Distribution: DSE (Distribution State Estimator), VVO (Volt-Var Optimization)


Database and displaymaintenance

Real-time operations

May 11, 2019 Slide 11


—Network Manager - Switching Analysis and ExecutionAdvanced switching management supports complex automatic switching for planned and unplanned events

Common for NM SCADA/EMS/ADMS

Intuitive building of switching orders & sequences

Enabled to automatically run multiple switch plans

Interlock checks performed at every step

Monitors selected indications in all neighboring stations to the switchable object

Automatically executed Switch Orders/Sequences will be suspended on unexpected status changes of monitored indications

Authorized operators will be notified and enabled to cancel or resume the switching plan

Operators can take actions before resuming execution and then run it interactively

—

Monitoring and control of hydro power plants

Considers specific restrictions related to hydro power plants, water levels and flows.

Units and gates are controlled according to generation plan

Set-points are sent out as active or reactive power or converted to water flow set-point

Can set regulation strength

Start and stop of units are controlled individually

Network Manager GMS - Generation management applications

AGC Hydro Auto Pilot module

—

Features

Benefits

Secures current network condition (corrective action) and future conditions (preventive action).

Identifies and minimizes security violations in the base-case network solution and protect against critical contingency cases provided by SA.

Correct the identified violations while minimizing a user-selected objective function.

Based on OPF engine, determines the control actions needed to improve system security level

Uses-selected reactive power controls

Current condition base case solution from SE, DPF, and SE study

Future condition base case solution from EOS, generation and load schedules and profiles

Network Manager EMS - Transmission network applications

Voltage and VAr Control (VVC)

https://vnet.ventyx.com/BrandCentral/Stock Photos/Energy and Utilities/In-house_LS-IMG_0503.JPG

—

• Computes the best estimate of voltages, power flows, and overloads on the distribution network based on real-time measurements

• New phase based weighted least squares algorithm developed by ABB Corporate Research

• Algorithm is based on Hatchels method

• Zero injection node measurements are treated as constraints to improve performance

• Designed to solve with a minimal measurement set

• Accounts for measurement confidence

Network Manager ADMS - Distribution State Estimation

May 11, 2019 Slide 15

Weighted Least Squares Distribution State Estimator (WLS DSE)

Measurement set

• Voltage (line to neutral)

• Voltage (line to line)

• AMI voltage measurements

• Voltage angle

• Amp line flow

• Active power line flow

• Reactive power line flow

• Load forecast or scaled load

WLS DSE Solution

WLS DSE solution best matches constraints using measurement confidence

—

5/11/2019 Slide 16

DERMS - Next generation Volt/Var Optimization (VVO)

Network Manager ADMS

• Optimizes voltage, reactive power flow, and power factor

• Controls substation regulators, line voltage regulators, capacitors, and DER output to achieve optimal objective while mitigating voltage violations

• Uses AMI voltage input and multi-period load and generation forecast

• Accounts for autonomously regulating smart inverters with volt/var droop curve

• Does not require a load flow solution

Substation RegulatingTransformers

Line Regulators

Capacitors

Utility ScaleDER

Controllable PVAMI feedback

Autonomously Regulating PVAMI feedback

—Network Manager EMS/GMS/ADMSSolution footprint – designed to meet major power sector challenges

AGC

Economic Dispatch

Reserve Monitoring

Production Costing

Hydro Auto Pilot

Hydro Chain Control

Graphical User InterfaceNetwork

applicationsGeneration

applications

External Adaptors & Data Exchange

Outage management

Common Data Model, Simulation and Training

SCADA Communications

Trouble call & AMI

Outage notifications

Outage prediction

Estimated Restoration Time

Crew management

Planned work

Switch Order Management

SCADA

Data acquisition

Control

Alarming

Trending

Real-time calculations

Historian

Analytics

State estimation

Security analysis

Optimal power flow

Congestion forecast

Short circuit analysis

Volt Var Control

Power flow

Load flow

FLISR

Overload Reduction

DERMS

Summary:

• Full application suite

• High level of support for automated operation

—Key factors for successful project executionABB Project Implementation Experience

Anders Hellkvist

—Network ManagerABB’s continuing story of investment

1960’s 1970’s 2000’s 2010’s

SCADAData acquisition

EMSTransmission

MMSEnergy markets

ADMSDistribution

<1950’s

pre-SCADARemote control

1990’s

OMSDistribution

Today

DERMSDistribution

May 11, 2019 Slide 19

—SCADA from historical perspective

A pure Data Acquisition andControl System

- Monitoring and Remote control

- Reduce personnel cost

A system with topology and

specific applications e.g. EMS, DMS

- Secure and stable operation

- Black out prevention

An energy information system, providing decision

makers with reliable process information

- Economical efficient and secure operation

- More integrated

An integrated energy optimization system

providingoperational confidence

- One single unified environment

- Enhanced situational awareness

—

Wantedfunctionalscope

Why go for a Big Bang?

Stepwise deliveries are more succesful

Procurement process

ABB baselinescope

Existingfunctionalscope

—Successful project implementation

Release strategy to support fast track delivery

Strategy

Start activities with GA release

Add protocols and update front-end (PCU) only

Develop interfaces as add-on functionality to baseline using standard API’s and tools

Make custom development (if any) on current GA release, update as maintenance version

Incorporate applicable changes into next GA release to facilitate future upgrades

Initial baseline scope

Additional scope 1

Additional scope 2

Additional scope 3

Big bang – all in one delivery

—

…and develop add-ons with agile methods

Agile deliveries are more succesful than waterfall based

Start with what is available…

—Successful project implementationApplicable lessons learned and success factors

On time delivery is essential

• Requirements management – Clarify requirements early in the delivery then adhere to change management process

• Use Agile for interface development, validate through prototype• Database development process – prioritize, work in incremental batches and

evaluate, obtain frequent feedback• Reduce configuration changes by delivering directly to site and interconnecting

to field equipment early• Increased error detection – plan to find problems you did not know you have

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