Uk china- partners in energy research-impact case-kang li+yusheng xue

energy, power & intelligent control

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*Queen‘s University Belfast, UK **State Grid Electric Power Research Ins@tute, China

06/03/2014

Prof Kang Li*, Prof Yusheng Xue**

UK-‐China: Partners in Energy Research -‐ An impact case study

UK-‐China: Partners in Energy Research -‐ An impact case study


Outline

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Ø  UK-‐China Science Bridge in Sustainable Energy and Built Environment

– Strategic alliance with 14 leading Chinese Universi@es, Research Ins@tu@ons and Industrial Partners (RCUK funded)

Ø  UK-‐China Smart Grids and Integra@on of Electric Vehicles -‐

iGIVE -‐ Jointly funded by EPSRC as part of the RCUK Energy Programme and NSFC


UK-‐China Science Bridge -‐ Engineering leaderships for tomorrow

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Trained 30 PhD students, 20 exchange PhD students, 11 Undergraduate students, and 4 research fellows.

•  Everyday provided new learning opportuni@es

–  Language Differences –  Cultural Differences

•  Food and Drink – How to eat with chops@cks!

•  Religion –  Educa@onal Differences

•  Expected a total contrast, however a few similari@es

–  Educa@on is very important –  Personal rela@onships make business

rela@onships a lot easier –  Socialising is a key part of society –  Mul@cultural and very tolerant of

foreigners


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UK-‐China Science Bridge -‐ Academic Engagements

30 invited lectures and seminars, 10 research training ac@vi@es, 14 visi@ng professorships


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UK-‐China Science Bridge -‐ Inform Policy Makers

‘I was delighted to learn that Queen's University launched its Queen's Science Bridge Awards aiming to promote China-‐UK co-‐opera@on in sustainable energy and

environmental conserva@on’ – Mr Liu Xiaoming, Chinese Ambassador

Science Bridge partners were invited to a roundtable discussion with Dr Vince Cable about Science, Innova@on and Business Growth held at the Bri@sh Embassy in Beijing

Vice Premier LIU Yandong witnessed signing of agreements between Queen's and Chinese Scholarship Council, and met Science Bridge students

First and Deputy First Minsters of Northern Ireland visited Science Bridge Joint Laboratory on Autonomous Robo@cs in Shanghai Jiaotong


UK-‐China Science Bridge -‐ Research Outcomes

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4 interna@onal conferences, 1 summer school, 1 UK-‐China Science Bridge Forum, 6 conference proceedings, 1 patent, 2 best paper

awards

0

50

100

150

200

partners journal conference

u  Joint publica@ons


UK-‐China Science Bridge -‐ Joint laboratories

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•  Awarded 3 na@onal and municipal prizes, including Shanghai Science and technology progress award

•  Autonomous Wheelchair exhibited in Shanghai EXPO 2010

Joint Laboratory on Energy and Automa@on with Baosteel, SAIC, SHU

Joint Laboratory on Autonomous Service Robots with Shanghai Jiaotong


UK-‐China Science Bridge -‐ Knowledge Transfer

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•  Technologies used in developing new SUPMAX series products by SAIC for energy and environment applica@ons, used in many power plants across the world.

Intelligent op@mized algorithms deployed in Shanghai Waigaoqiao & Caohejing power sta@ons

Wireless data acquisi@on deployed in Nantong sewage treatment company

Hybrid network measurement and monitoring system used in Baosteel


UK-‐China Science Bridge -‐ Knowledge Transfer

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Crown cap surface detec@on systems for a Chinese company, detec@ng 280,000 caps/hour.

Low cost no-‐intrusive QUB energy efficiency monitoring system is prototyped for plas@cs industry.

QUB structural health monitoring sta@on at Hangzhou Bay Bridge


Intelligent Grid Interfaced Vehicle Eco-‐charging (iGIVE)

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TradiNonal analysis of power systems are only for given boundary condiNons,

without considering impacts of external systems

Demanding Side

Various kinds of Energy

Electric Power

Power StaNon

Primary Energy

Electricity flow

Impacts of primary energy

Impacts of DS modes

Given boundary condiNons

T & D Grids

Electric Power

Given boundary condiNons

UK-‐China collaboraNve interdisciplinary research consorNum project


Wide ARea Monitoring Analysis ProtecNon-‐control Blackout defense system has widely deployed in China

WAMS

Close- loop control

Dynamic early-warning

It has been applied in State Grid, South Grid, East China Grid and many province grids, such as Jiangsu, Sichuan, Henan, Guangdong, Shanxi,

Shaanxi, Anhui, Hunan, Fujian, Xinjiang, Shanghai, Jiangxi and Zhejiang etc.



MulN-‐Domain Interactions in Risk Management

Physical Systems

Economic Systems

Environment Systems

Resource Systems

Utilization

However, impacts of relevant networks are neglected



Tasks of iGIVE

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WP1) Framework of energy and informa@on flows

WP2) Power flow control-‐based banery model WP3) Bi-‐direc@onal trac@on drive charging system WP4) Model for environment friendly EV charging WP5) Op@mal dispatching strategy for EV WP6) Holis@c system model for the impact of EV actors



InteracNons among EVs, ParNcipator Behaviors and Power Grid

Power System

Oil/GasOil/Gas Costs

Power SupplyAncillary Service

Electricity/BatteryElectricity

Costs

Power Generation

Grid Operators

Constraints

Public TransportationPersonal Transportation

RESLoad Fluctuation

R&D Production Market Scrapping

Constraints

Information Flow

Physical Flow Control Command

Information

Capital Flow

Costs

Oil & Gas Battery Exchanging & Charging

BevPhevHevGasoline VehicleGas Vehicle

UserDecisions

Operating &Maintenance

IndustrialSectors

Policy

Capital

After-sale Service

Environment Air Area Soil & Water Others

Others（FCV, Etc.）

②

① ②

Low-controllable

Groups

High-controllable

Groups

Government Policy-Makers

Carmakers

Battery Exchanging/Charging Service

Providers

Decision

Information

Cost

Cost

Decision

Information

Decision

Capital

Information

Information

Decision

Capital

Capital Information Decision

Information

Service Network Of Oil/Gas Stations

Battery Exchanging/Charging Service Network

Power SupplyAncillary Service

Costs

Constraints

①



Traffic Network & Distribu@on Grids

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InteracNvity among Physics, Economics and ParNcipants

Economical Models of Power Market

Physical Models of Power System

Adequacy of Market CompeNNon

Change of Power Appliances

G A R U T D O B

Scenes & Probability

Physical faults

Economical Disturbances

Gen.C

o.

AncillaryC

o.

Trans.Co.

PX

Retailors

LSE

Big U

sers

External O

rg.

Regu- lator

Decision

Decision

Decision

Clear

Decision

Decision

Decision

Decision

Policy & Rules

Dispatch & Control

ISO Scenes & Probability



A Design for Smart Agents on EV-‐user’s Behavior

Knowledge ExtracNon from Limited-‐number QuesNonnaires for Agent Modeling



Study on Agent Models

Distribu@on of each factor’s threshold

Comparing the simula@on results

Distribu@on of factors’ importance

Y

N

Inpupng for verifica@on

i = 1

Decision of the ith agent

i = i +1

Ques@onnaires data

Modeling the agents

Verifying the models

i ≤ the total number of agents

Vehicle parameters



SimulaNon VerificaNon

Percent of purchase number

Number of the original quesNonnaire

200 150 The front 100 The back 100

Simul. with 100000 agents

Checking quesNon-‐naires







EV type-‐1 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00%

EV type-‐2 3.04% 3.00% 3.37% 3.33% 3.03% 3.00% 3.10% 3.00%

EV type-‐3 7.12% 6.50% 7.12% 6.67% 8.66% 8.00% 5.44% 5.00%

EV type-‐4 47.33% 44.00% 48.79% 46.00% 47.07% 44.00% 47.82% 44.00%

Comparisons of MulN-‐agent SimulaNons with Limited-‐number of QuesNonnaires



EV’s significance for China

ü  The external dependency of China’s crude oil is close to 60% in 2013

ü  EVs account for about 40% of China’s oil consump@on

ü  Transporta@on industry contributes 28% of carbon dioxide emissions in world-‐wide

ü  25 China’s ci@es, such as Beijing, Shanghai etc., have launched demonstra@on projects of “one-‐thousand Evs”

ü  The Strong & Smart Grid can promote the development of renewable energy and EVs, promote large-‐scale subs@tu@on of oil and improve energy security

2015 2020

0.5M EVs

5M EVs

Charging and swapping network planning for the Yangtze River Delta Area

EV’s perspec@ves in China



ImplementaNon Project with Shanghai Municipal Electric Power Company (SMEPC)

•  16 charging/swapping sta@ons and 1460 AC charging spots in Jiading district, Shanghai are under construc@on

•  A pair of charging/swapping sta@ons at service areas of the Shanghai-‐Hangzhou highway for city-‐interconnec@on in Yangtze River Delta Area

•  An EV service company of SMEPC is in opera@on •  A management system for EV opera@ons and a surveillance

center for customer service, opera@on monitoring, asset management, and accoun@ng management, etc.

•  50 charging/swapping sta@ons and 5000 charging spots for planning

•  30-‐50 thousand EVs are expected



Charging/Swapping Service Network in Shanghai Metropolis

嘉兴服务区

枫泾服务区

德清服务区

练塘服务区

海宁服务区

平湖服务区

叶榭服务区

阳澄湖服务区

新塍服务区

白洋湖服务区

嘉善服务区

邓蔚路充换站

嘉定区充换站

闵行区充换站

石桥站充换站



Caoxi StaNon of Microgrid Mode



Jiading AnNng StaNon -‐ An integrated staNon for bahery charging, swapping and storage

Personal EV charging system

Personal EV charging/swapping

Public EV charging/swapping system

1.25MW/2.25MWh Energy storages share faciliNes with bahery charging/swapping, peak load shii, emergency power-‐supply



Thanks

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Uk china- partners in energy research-impact case-kang li+yusheng xue

Education

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