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EPSLAB Energy & Power System Laboratory Virtual Power Plant (VPP)- Integration of Distributed Energy Resources Presenter: Professor Hong-Tzer Yang Affiliation: Dept. of E.E., NCKU, Taiwan

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  • EPSLAB Energy & Power System Laboratory

    Virtual Power Plant (VPP)-Integration of Distributed Energy Resources

    Presenter: Professor Hong-Tzer Yang

    Affiliation: Dept. of E.E., NCKU, Taiwan

  • 2EPSLAB Energy & Power System Laboratory

    Developments of Smart Grid

  • 3EPSLAB Energy & Power System Laboratory

    Power System Energy Dispatch

    Day-ahead (DA)

    Market

    Real-time (RT)Market

    Dynamic voltage/freq.

    control

    1s~ ms5~15 minsday responding time

    energy trading

    Scheduling

    Balancing

    Ancillary Service

    load forecasting

    scheduled power

    actual load

    scheduled power

    Forecasting Error

    actual load

    scheduled power

    Unbalancing

    Unexpected Tripping of RE

    actual load

    scheduled power

    Unexpected Tripping

  • 4EPSLAB Energy & Power System Laboratory

    Energy Meters Communication Decision making/ Services

    Home Automation

    Network

    Local area

    network, i.e.

    PLC, WiFi,

    ZigBee

    Aggregator

    Wide Area Network, i.e.

    GPRS/3G, WiMax,

    Optical fiber

    Data Management

    System

    Energy Control Platform

    PMU (Phasor Measurement Unit)

    Smart Meters

    FTU (Feeder Terminal Unit)

    Communication

    Equipment

    Transmission and

    Distribution Control and

    Management Devices

    Electrical System

    Supplying Optimization

    Advanced Metering Infrastructure -AMI

    Generation

    Transmission

    Distribution

    Load Smart Appliances

    Power Plant

    Management System

    Load Shedding/

    Energy Saving

    Transparent Energy Information

    Real-time Demand Analysis

    Optimized Electricity Dispatch

    http://www.tradekorea.com/product-detail/P00014065/Feeder_Protection___Control_Relay.htmlhttp://www.tradekorea.com/product-detail/P00014065/Feeder_Protection___Control_Relay.html

  • 5EPSLAB Energy & Power System Laboratory

    Southern California Edison

    Meter (AMI) is the interface

    between customer loads and

    energy management systems

    and the grid

    Data Center

    In Data Center:

    Billing/Customer service

    Distribution automation

    Energy management

    Outage management

    Smart HomeAMI

    ADAS

    80kW

    Diesel

    Generator Microgrid System

    PCC

    Advanced Distribution

    Automation System

  • 6EPSLAB Energy & Power System Laboratory

    Integration between the VPP and Grid Operators

    Ref: Deliverable D1.3, “Identifying EV smart control approaches under a VPP management”, EU project on MERGE,

    http://www.evmerge.eu/images/stories/uploads/MERGE_WP1_D1.3_Final.pdf, Access on 22 March 2011.

    Market

    HEMS

    PV HouseLoad

    EV

    private area

    smartmeter

    SM

    EV Charging

    Point

    DG Unitpublic area

    SM

    Energy Storage System

    SM

    EV

    SM

    P/S P/S

    TSO

    DSO VPP

    GENCO

    BEMS

    DGUnit

    LoadESS

    private area

    SM

    Integration of Distributed Energy Resources

    VPP: Virtual Power Plant

    http://www.evmerge.eu/images/stories/uploads/MERGE_WP1_D1.3_Final.pdf

  • 7EPSLAB Energy & Power System Laboratory

    Integration of

    Distributed Energy Resources

    (DER)

  • 8EPSLAB Energy & Power System Laboratory

    OLTC

    Substation

    Distributed Generator

    Energy Storage

    system (ESS)

    PV system

    Smart meter

    Load

    Wind power system

    DDCC

    ICCP

    Comm link

    SCADA/DMS

    ADAS

    Comm. link

    Modbus/TCPSocket/TCP

    Dataprocessing

    ApplicationData Base

    Distribution System analysis

    Energy Dispatching Optimization

    Substation-EMSDigsilent Powerfactory based system model

    HMI

    SCADA

    Comm. link

    Dataprocessing

    ApplicationData Base SCADA

    DNP 3.0/ IEC 61850

    DER Dispatching Optimization

    DER generation cost analysis

    DER-EMS

    HMI

    OpenADR 2.0

    Comm. link

    Dataprocessing

    ApplicationData BaseSCADA

    HMI

    DER Dispatching Optimization

    DER generation cost analysis

    DER-EMS

    ADR Server

    Building Energy Management System (BEMS)

    Home Energy Management System (HEMS)

    Ethernet

    B(H)EMS Gateway

    Demand Response Control

    Optimal control of household

    appliances

    Home Area Network

    (HAN)

    B(H)EMS

    Appliances

    HMI

    OpenADR 2.0

    Energy Conversion and Communication Interface (ECCI)

    Comm. interface

    Power electronics interface

    Real/ reactive power control

    ECCI

    ADR Server

    Regional Load Forecasting

    Renewable Generation Forecasting

    DNP 3.0/ IEC 61850

    DNP 3.0/ IEC 61850Ethernet

    Integrated Applications of DERs

    Substation EMS

    DER-EMS DER-EMS DER-EMS

    DERDER DER

  • 9EPSLAB Energy & Power System Laboratory

    DER-EMS & Substation EMS Architecture

    PV

    WT

    EV Charging

    Center

    HEMS

    BEMSESS

    ESSFC

    PV

    PVPV

    PV

    Micro-Turbine

    DER-EMS 2

    DER-EMS 1

    DER-EMS 3

    Substation EMS

    SubstationADAS EMS: Energy Management System

  • 10EPSLAB Energy & Power System Laboratory

    DER Energy Dispatching System

    0:00 4:00 8:00 12:00 16:00 20:00 24:000

    500

    1000

    1500

    2000

    2500

    3000

    3500

    4000

    Date

    Pow

    er

    Consum

    ption (

    Watt

    s)

    Non-Schedulable Load Forecast of a Typical Large House on July 10th

    Actual Data

    Forecasted Data

    Load and Renewable Generation Forecasting

    0:00 4:00 8:00 12:00 16:00 20:00 24:000

    5

    10

    15

    20

    25

    30

    35

    40

    45

    50

    Time

    PV

    Out

    put

    Pow

    er (

    W)

    PV Output Power of a SP75 Module

    Forecasting Error Probability Distribution and Risk Managements

    Substation Power Dispatch Optimization

    Algorithms

    DIgSILENT BasedPower Flow Analysis

    DER-EMS Optimal Dispatch and Scheduling

    Algorithms

    0 5 10 15 20 250

    100

    200

    300

    400

    500

    600

    700

    data1

    data2

    data3

    data4

    data5

    data6

    data7

    data8

    0 5 10 15 20 250

    100

    200

    300

    400

    500

    600

    700

    data1

    data2

    data3

    data4

    data5

    data6

    data7

    data8

    0 5 10 15 20 250

    100

    200

    300

    400

    500

    600

    700

    data1

    data2

    data3

    data4

    data5

    data6

    data7

    data8

    0 5 10 15 20 250

    100

    200

    300

    400

    500

    600

    700

    data1

    data2

    data3

    data4

    data5

    data6

    data7

    data8

    PV

    FC

    DG1

    DG2

    DG3 DR

    grid

    Total Load

    0 5 10 15 20 250

    100

    200

    300

    400

    500

    600

    700

    data1

    data2

    data3

    data4

    data5

    data6

    data7

    data8

    0 5 10 15 20 250

    100

    200

    300

    400

    500

    600

    700

    data1

    data2

    data3

    data4

    data5

    data6

    data7

    data8

    hour of day

    7

    6

    5

    4

    3

    2

    1

    0

    po

    wer

    (M

    W)

    30 40 50 600.4

    0.5

    0.6

    0.7

    0.8

    0.9

    50 100 150 2000

    2

    4

    6

    8

    20 30 40 50 600.2

    0.4

    0.6

    0.8

    1

    1.2

    50 100 1500

    1

    2

    3

    4

    DG_1

    DG_2DG_3

    FC

    $/h

    Power (kW)

    DER Generation Cost Analysis

    Analysis of Distribution System Reliability, Security, and Power Quality

    DG

    DR

    ESS

    DR Program

    Substation-EMS Level

    DER-EMS Level (Aggregator/ESCO)

  • 11EPSLAB Energy & Power System Laboratory

    Demonstration System

    • Building Taipower Research Institute DER-EMS System

    and Technical Verification

    Automated Demand Response

    Smart building energy management system

    Microgrid demonstration system

    250kW

    PV, WT,Diesel generators, Micro-turbines

    Substation-EMS Energy dispatch

    decision-making platform

    DER-EMS optimal

    decision-making

    platform

    H(B)EMS

    Power conversion interface

    Power conversion interface

    ADRS

    ESS

    DG

    H(B)EMS

    H(B)EMS

    IEC 61850

    DNP 3.0

    P,Q output control

    DR controlLoad saving control

    OpenADR 2.0

    Utility side

    Electricity market programs

    BEMS

    Diesel-Engine Generator

    PV

    PV

    ESS Wind-turbine

    IEC 61850

    DNP 3.0

    (ESCO/Aggregator)

    (TPRI)

  • 12EPSLAB Energy & Power System Laboratory

    Demonstration System250kW energy storage

    PV smart inverter

    SCADA Server

    System topology

    BSS/Diesel

    RTU DI/DO

    PV 3 & 15kW

    Diesel 50kW

    10kW wind turbine

    SS3 high-voltage meterControl box

    SCADA andUI

    Microgrid Demonstration

    BEMS and Smart Meters

  • 13EPSLAB Energy & Power System Laboratory

    Home (Building) Energy

    Management System

    H(B)EMS

  • 14EPSLAB Energy & Power System Laboratory

    HEMS in a Smart Grid Architecture

    感測器

    人機控管介面

    AMIEV

    小型再生能源

    Home Gateway

    智慧手機

    AMI

    LAN

    資料收集器 WAN

    AMI

    Control Center

    Advanced Distribution

    Automation System

    (ADAS)

    AMI System

    DC and AC

    Microgrid

    Data Center

    Leading Project on Power

    Energy Management System of

    Smart Home (Building)

    Sensor

    Smart phone

    Home Gateway

    EV

    User and machine control system

    Residential Renewable Energy Systems

  • 15EPSLAB Energy & Power System Laboratory

    Air-conditioner Fuzzy Control

    Cold Hotmedium

    29.5o24.5o

    32o22o

    Calculate HI

    ValueTemperature

    and humidity

    1.5/kWh 2.5/kWh

    4/kWh2/kWh

    medium Cheap Expensive

    Electricity Tariff

    regulatable

    26℃ 27 ℃ 28 ℃ 關

    0 0.25 0.5 0.75 1

    Cold medium Hot

    Cheap 28 27 26

    medium OFF 28 27

    Expensive OFF 28 28

    Fuzzy Rule

    Home Gateway

    Zigbee module

    Zigbee

    IR

    behavior learning

  • 16EPSLAB Energy & Power System Laboratory

    Home/Building Energy Scheduling

    Min (Cost)

    Subject to :

    Comfort levels

    Security

    0 10 20 30 40 500

    1000

    2000

    3000

    4000

    5000

    Time (30min)

    Pow

    er

    Co

    nsum

    ption

    (W

    atts) Scheduled Loads of a Typical Medium House

    0 10 20 30 40 500

    1000

    2000

    3000

    4000

    5000

    Time (30min)

    Pow

    er

    Co

    nsum

    ption

    (W

    atts)

    Scheduled Loads of a Typical Medium House

    Base Load

    Stove

    Refrigerator

    Freezer

    Air-Conditioner

    Clothes Dryer

    Clothes Washer

    Dishwasher

    Electric Water Heater

    Electric Vehicle

    0 2 4 6 8 10 12 14 16 18 20 220

    0.5

    1

    1.5

    2

    2.5

    3

    3.5

    4

    Time (hour)

    Pri

    ce

    ($

    /kW

    h)

    Proposed Time-of-Use PriceTime-of-use

    0:00 4:00 8:00 12:00 16:00 20:00 24:000

    500

    1000

    1500

    2000

    2500

    3000

    3500

    4000

    Date

    Pow

    er

    Consum

    ption (

    Watt

    s)

    Non-Schedulable Load Forecast of a Typical Large House on July 10th

    Actual Data

    Forecasted Data

    Residential load forecasting result

    Optimization solving methods:

    particle swarm optimization (PSO)Simulated Annealing (SA)Genetic Algorithms (GA)

    Optimization objective

    0:00 4:00 8:00 12:00 16:00 20:00 24:000

    5

    10

    15

    20

    25

    30

    35

    40

    45

    50

    Time

    PV

    Out

    put

    Pow

    er (

    W)

    PV Output Power of a SP75 Module

    Renewable energy generation forecasting

  • 17EPSLAB Energy & Power System Laboratory

    User Interface Design – Web Based

  • 18EPSLAB Energy & Power System Laboratory

    User Interface Design

    Appliances Control Renewable Energies and Forecasting

    Air-Conditioner Control Load Scheduling

  • 19EPSLAB Energy & Power System Laboratory

    Suggestions of Load Scheduling

  • 20EPSLAB Energy & Power System Laboratory

    BEMS Demonstration System

    Auto-curtains Temp., humidity,and CO2 sensor

    Illuminance sensor

    Motion detector

    Smart Meeting Room

    BEMS user interface

  • 21EPSLAB Energy & Power System Laboratory

    Automatic Demand Response

    (ADR)

  • 22EPSLAB Energy & Power System Laboratory

    Evolution of Demand Response Systems

    •Demand Response (DR)•Auto-Demand Response (ADR)•Open Automated Demand Response (OpenADR)

    DR

    ADR

    OpenADR

  • 23EPSLAB Energy & Power System Laboratory

    Automated Demand Response Systemsand OpenADR Standards

    23

    Operator

    Demand management operator

    (Power company or

    Wholesale industry)

    VTNAutomated Demand

    Response Server (ADRS)

    N N N N N N N N N N N N

    XML

    Internet

    Internet

    XML

    Using SOAP/REST

    Web Service way

    Send XML message

    XML

    OpenADR 2.0

    ADR Aggregators

    Site Server

    OpenADR 2.0

  • 24EPSLAB Energy & Power System Laboratory

    BEMS-integrated Auto-DR System

    •Development of VEN pull-mode system according to Open ADR 2.0a and 2.0b

    –Meet Open ADR 2.0a and 2.0b consistency regulation

    –Pass and obtain the VEN pull-mode certification• VEN Pull Positive/Negative Test Scenarios

    • VEN Pull Security Test Scenarios

    • Transport Test Cases

    • Interface with BEMS for DR control– Integrated Testing with the EMS developed

  • 25EPSLAB Energy & Power System Laboratory

    AMI and Demand Response Framework

    •AMI meters installed in Taipower test site

    •Automatic Demand Response Server (ADRS)

    •Energy Management System (EMS)

  • 26EPSLAB Energy & Power System Laboratory

    Automatic Demand Response

    200 kW200 kW

    當有事件時,預設選項

    190 kW190 kW

  • 27EPSLAB Energy & Power System Laboratory