May 14-17, 2017 - Wiesloch, Germany Smart Grid experience ... Grid... · Smart Grid experience and...

Smart Grid experience and transition to full-scale projects

Jacek Bujak, ABB

Electric Power Control Center Conference (EPCC 14)

May 14-17, 2017 - Wiesloch, Germany

EPCC 14 - May 14-17, 2017 - Wiesloch, Germany

Some of the targets for 2020 50 percent renewable energy

20 percent higher energy efficiency

10 percent renewable energy in transportation

Fossil free fleet of vehicles 2030

Zero net emissions of greenhouse gases by 2050

Wind together with nuclear and hydro main electricity production sources

New focus areas to support the EU SET plan: smart grid, wind, bio fuels and sustainable cities

Background

Mature deregulated market in place

AMI in place through out Sweden (Monthly reading, moving =>1hourly)

A largetransformation

of the energy system

Sweden - Ambitious energy policy drives new requirements


Stockholm Royal Seaport – Urban Smart Grid• A full scope ABB Smart Grid for a sustainable city and harbor environment• Focus on active consumers (residential andharbor) and peak load reduction•High level of international interest

Smart Grid Gotland – Rural Smart Grid• A full scope ABB Smart Grid with possibilityto study island operation.• With 30% intermittent renewable productionit represents the challenge many regions and countries will face in the future. With both these sites ABB can demonstratecapability to solve the issues related to bothan urban and rural grid environment.

ABB Smart Grid R&D Solutions: Two Advanced Demonstration Projects


Customers

Fortum Stockholm Municipality

Key objectives

Develop a world class sustainable city district

Reduce CO2 emissions to a level below 1.5 ton per

inhabitant per year by 2020 (from 4.5 ton)

Become fossil fuel free by 2030

Adapt to climate change

ABB’s response – Smart grid scope

Automated intelligent urban distribution grid

Demand Response Management

Integration of renewable energy

Integration of electric vehicles

Energy storage

Electrification of harbor – Ship to shore

House and building automation

Stockholm Royal Seaport project


12 000 New HomesModern Cruise Port

600,000 m2 commercial space

35 000 Work Places

Year 2030 - a sustainable urban environment

Facts

- Sustainable focus

- 236 hectars

- Building years 2010-2030

- 12000 apartments

- 35 000 work places

- 600 000 sqm commercial

- New Infrastructure

- 3,5 km to Stockholm City

- Fossile fuel free 2030


Focus areas:

- Active house. Study residents response on CO2 signals and price signals. Visualize the information in the apartments.

- Smart Grid Lab. ABB products DRMS, DMS/PSE (Power System Explorer), and Business Intelligence. DMS and is part of visualization of Grid Development on distribution voltage level.

- Grid Development. ABB delivers two new 10 kV distribution substations with latest technology and equipment for one retrofit. Studies on network losses, self restoration, network reliability.

- Market Concept. Evaluation and possible future up scaling.

- ICT. Secure reliable communication platform for the smart grid internal and external components.

Stockholm Royal Seaport project – general description

BI


Outgoing feeders with

fuses


fuses

Incoming feeders with

CB with measuring and

protection


CB with measuring and

protection


LV CB measuring and

protection

RTU


LV CB measuring and

protection


CB with fault detection,

measuring and

protection


CB with fault detection,

measuring and

protection

To

SCADA

Traditional Secondary Substation

SRS Secondary Substation

Robust Energy System

Shorten outages

Minimize Consequences

of outages

Avoid outages

Integration of low voltage Switch gear in 10/0,4kV Sec. SS

Stockholm Royal Seaport project – grid development


Stockholm Royal Seaport – Use case DRMS

• Test customers willingness to move consumption from peak load

Test Scenario

Price signal

• Test customers willingness to move consumption from Co2 peak

Test Scenario

Co2 signal

• Test possibilities to steer/reduce consumption in case of an event for a supplier/DSO/Aggregator

Test Sceanrio

Event driven/Intra day

Demand respons

• Test possibilities to make good load/generation forecasting and to be able to use that for control

Test scenario

Forecasting

Reduce CO2 emissions from 633 kg per household / year to 436 kg

Move 5% and 15% of energy from peak load hours

Reduce peak load with10% compared to normal load


Stockholm Royal Seaport – Use case DMS

• Collection of data from different type of sensors in the substations, for analysis and further actions

Test Scenario

Reliability centredmaintanance

• Test possibilities to detect fault in secondary substation

Test Scenario

Fault indication

• Test possibilities to self restore the network after identified fault

Test Scenario

Self restoration network

• Test possibilities to reduce transformer no load losses

Test scenario

Reduce losses no load

• Emergency dispatch of loadTest Scenario

“Styrel”

Reduce transformer losses

(-15%) without effect on quality or asset life time

Reduce costs for

maintananve and increased

reliability

Increased reliability and

reduced time for

interuptions

CAIDI -10% (ref area)

SAIDI -20% (ref area)

Reduce load to 10% of

normal load


Smart Grid Gotland


Monitoring and control Active industries and

farms

Energy storage

Smart substations

Grid automation

Active prosumers

HVDC link

Project targets:

1. Integration of wind power generation

2. Improved power quality

3. Active consumers

Smart Grid Gotland – a full scale test platform

http://www.gotlandsenergi.se/index.pab

http://www.gotlandsenergi.se/index.pab


High penetration DER - Global Solar PV Trends

Industry Challenges and Trends


• In many parts of the world Distributed Energy Resources (DER) will be the largest share of the market for new generation capacity:

• By 2018, the U.S. solar plus storage market is expected to reach at least $1 billion and the U.S. energy storage market alone will hit $1.5 billion or more, according to GTM Research - GTM Research, May 2016

• Installed DER capacity, including distributed generation (DG), energy storage, microgrids, EVs, and demand response (DR), will triple between 2016 and 2025, growing from 124 GW to 373 GW worldwide – Navigant Research 2016

• The proliferation of these resources requires new systems to manage and control them – Distributed Energy Resource Management Systems (DERMS)

Why DERMS?

Distributed Energy Resources Management Systems (DERMS)


Consumers and Aggregators

Location and ratings

Intermittent power flows

Voltage swings

Monitoring & control

Short circuit violations

Accounting for settlements

Coordination with other applications

Changing network configurations

Examples of challenges presented by DERMS

DERMS

New gridTraditional grid


Who needs DERMS?

• Manage the distribution network in the presence of DER. Need visibility into DER operation and potentially control of DER to operate the network

Electric Distribution Companies

• Manage their increasing portfolio of renewable or distributed assets. Looking to increase revenues by creating innovative offerings both for their direct customers or to participate in markets

Market Participants

(Generation Companies and Retailers with distributed energy resource)

• Create a portfolio of distributed energy resources, or Virtual Power Plants (VPPs), from which they can offer additional services to third-parties (wholesale market, distribution network operators, retailers) from which they take a share of the profits

Market Participants

(Aggregators)

• Manage a DER market below the current wholesale market level. This market is in its infancy and there are many models being considered from a centrally controlled distribution market run by a distribution network operator to distributed markets enabling peer-peer trading (possibly using blockchain)

Distribution Market Operators

Whilst there is a significant degree of shared capability between the various users of a DERMS, the end-users have different objectives and value propositions.


DERMS for Distribution Network Operations - Use Cases

Distribution Network Operations – provide DER registration, forecasts and dispatch for DERMS applications to manage network constraints

Voltage/Reliability Services – economic dispatch of active and reactive power to mitigate voltage issues

Manage Equipment Capacity Constraints – economic dispatch to address network constraints

Verification and Settlements – confirmation that the services were provided and their financial settlement


Generation Companies and Retailers, Aggregators

DERMS For Market Participants - Use Cases

Renewable Commercial Operations – provide DER registration, forecasts and dispatch for DERMS applications to increase market share

Market Participation – aggregate DER to offer and settle energy and ancillary services in wholesale markets

Resource Optimization – optimize and dispatch DER


Modular distribution operations platform

DERMS – An Integral Component of ABB ADMS

ADMS

SCADA

Outage Management

System

Network Applications

DERMS

Analytics


Network Manager ADMS

Trouble call , AMI, outage notificationsOutage predictionAuto-creation and management of ETRsCrew managementPlanned workSwitch Order Management

Common Graphical User Interface

Distribution Application

Outage Management

External Adaptors & Data Exchange

SCADA

Common Data Model, Simulation and Training

Communications

SCADA Communications

Data acquisitionAlarmingTrendingReal-time calculationsIntegrated data engineeringHistorian

DERMS

DER Program ManagementOptimal Power FlowVolt/Var ControlDER ForecastingDER OptimizationDistribution Markets

ADMS Analytics

Load FlowFLISROverload Reduction SwitchingRestoration Switching AnalysisVolt/Var ControlShort Circuit Analysis


Network Manager ADMS

Integrated ADMS benefits

Separate SCADA-OMS-DMS ABB integrated ADMS

Avoid multiple network models

Temporary network changes readily available for all functions

Avoid multiple integration points to external IT systems

Common user interface

Increased situational awareness


Composite objects

Grouping of Point Data

State and behavior

A composite object consist of:

– Composite object type

– Information display

– Symbols showing the states

– APL program(s)

– Command dialogs

Modeling of different types of renewables

Solar

Biomass

Wind

Thermal

Hydro

Centralized monitoring and control for wind power


Wind turbine composite object

– Approx. 200 SCADA signals

– Up to 3400 state indications

– Wind turbine state

Wind park composite object

– Status calculated from wind turbines and electrical substation statuses

Meteo composite object

– Generic representation of meteo tower

Wind power composite objects

Running Without communication

Warning

Manually Stopped

InternalRegulation

Maintenance UndeterminedExternalRegulation

Not remotelyResettable

RemotelyResettable



ABB implementation

General

– State modeling through composite objects

– Long-term storage of data

Wind turbines

– Acciona, - Bonus (Siemens),

– Ecotecnia (Alstom), - Enercon,

– Gamesa, - GE,

– Made, - Neg Micon (Vestas),

– Nordtank (Vestas), - Vestas

Object oriented modeling of renewable assets



Data Model Based on IEC 61400-25-2


Model Element

NrStandard Description

En

erc

on

Ve

sta

s

GE

1.5

GE

1.6

x

Go

ldw

ind

…

1 ABB Turbine status calculated X X X X X

…

5 IEC Turbine status X X

6 IEC Active power (kW) X X X X X

7 IEC Reactive power (kVAr) X X X X X

8 IEC Wind speed (m/s) X X X X X

…

61 CUSTOMER Wind Speed Air Density Factor X X X X X

62 CUSTOMER 10-min Adjusted Wind Speed (m/s) X X X X X

63 CUSTOMER 10-min Average Active Power (kW) X X X X X

…

80 VENDOR CMD Turn Yaw Right X X X

81 VENDOR CMD Turn Yaw Left X X X

82 VENDOR Set Blade 1 Pitch Angle (deg) X X

…


Sample Display



Generation & Transmission

Network Manager - Common Platform

– SCADA engine with real-time DB

– Front-End Computers

– Data Historian

– User Interface (Graphical User Interface)

Power Applications

– Generation Management

– Transmission Network

Market Management System

Generation management applications

System architecture

External Applications and Systems

Graphical user interface

Office Client Business IntelligenceRich Client

Transmission Application

Dispatcher Power Flow

State Estimator

Security Analysis

Optimal Power Flow

Congestion Forecast

Short Circuit Analysis

Infrastructure

InterfaceTransmission Network Model

Thin Client

InterfaceInterface

Metering

SystemScheduling

System

Planning ToolsGenOps / Unit

Commitment

Nostradamus /

Load Forecast

Billing /

Settlement

AGC

Economic Dispatch

Reserve Monitoring

Production Costing

Hydro Auto Pilot

Hydro Chain Control

Generation Applications

External Adaptors & Data Exchange


State-of-the-art MMS– Co-optimization of Energy, Ancillary Services, Virtual Bids and CRRs– Fully automated market clearing/optimization processes

Standards-based Platform

– Modern Architecture

– Cyber Security

Market Infrastructure

– e-Trading & Publishing

Market Applications

– Market Clearing

– Congestion Management

Financial Systems

– Settlement & Billing

Interconnector ManagerRegistration

External InterfacesTrading

Market Time-line

ManagementReport Publishing

[ Market Infrastructure – MI ]

[ Market Applications – MA ]

Resource Dispatch

(RD)

Day-Ahead Market

(DAM)

Congestion Rev Rights

(CRR)

Intraday Market

(IDM)

Capacity Market

(CM)

Real-Time Market

(RTC/RTD)

Financial & Capacity

Market

SCADA/EMS

[ Internet ][Participants ]

[ Market Operator ]

Interconnections

Outages &

Availability

System Forecasts

Other Systems

Settlements

Billing & Invoicing

Accounting & Bank

Transfers

Revenue Metering

and Meter Data

Managament

Solution Overview.vsd

Demand Forecast

(SDLF, LDP)

[Outage Scheduler – OS ]

Prudential Risk

ABB’s Market Management System (MMS)


Advanced MMS Solutions

Configurable Market Solutions Including Congestion Management– Week-ahead pre-scheduling

– Day Ahead Market / Scheduling

– Pre-Dispatch/Intra-Day Market / Scheduling

– Real-Time Commitment and Dispatch

– Balancing Mechanism

Complex Modeling– Renewable Resources, DERs, Storage

– Combined-Cycle Plants – full model

– Jointly Owned Resources

– Hydro System and Pumped Storage

– Block Loading Resources

– Demand Response

– Complex Reserves

– Post-contingency correctives

Support all Market Designs– Central or Balancing

– Single MCP, Zonal or Nodal LMP

CCP OFFConfiguration 1

(1CT)

Configuration 2

(2CT)

Configuration 4

(2CT+1ST)

Configuration 3

(1CT+1ST)

Startup Up

Up

Up

Startup

Shutdown Down

Shutdown

Down

Down

Up

Down


- Demonstration projects important to:- wisely use existing and new advanced technologies - evaluate customer behaviour- create understanding and acceptance for new business models

- Advanced applications including DERMS needed in Network Management systems to model and fully utilize DERs

- In full scale projects modelling of DERs necessary:- at all system levels - across the entire suite of applications:

from MMS through EMS and GMS to DMS

Summary


Thank you

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May 14-17, 2017 - Wiesloch, Germany Smart Grid experience ... Grid... · Smart Grid experience and...

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