Taneli Leiskamo Antti Hyttinen

Slides:



Advertisements
Similar presentations
Achieving Price-Responsive Demand in New England Henry Yoshimura Director, Demand Resource Strategy ISO New England National Town Meeting on Demand Response.
Advertisements

Smart grid energy business
© Actility – Confidential – Under NDA 1 Advanced flexibility management: concepts and opportunities Making Things Smart.
Demand Response: The Challenges of Integration in a Total Resource Plan Demand Response: The Challenges of Integration in a Total Resource Plan Howard.
EXPANSION OF TRANSMISSION SYSTEMS IN A DEREGULATED ENVIRONMENT Yong Zheng Saskatchewan Power Corporation N.A.Chowdhury University of Saskatchewan.
The future Role of VPPs in Europe Pan European Balancing Market: EU-FP7-Project eBadge Workshop on DSM Potentials, Implementations and Experiences 20 th.
Development and Operation of Active Distribution Networks: Results of CIGRE C6.11 Working Group (Paper 0311) Dr Samuel Jupe (Parsons Brinckerhoff) UK Member.
California GHG policy and implications for the power sector APEX Sydney Conference October 13, 2008 Anjali Sheffrin, PhD.
The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/ ) under grant agreement.
Demand Response in New York State Northwest Power and Conservation Council DR workshop February 24, 2006.
EStorage First Annual Workshop Arnhem, NL 30, Oct Olivier Teller.
A Survey of Home Energy Management Systems in Future Smart Grid Communications By Muhammad Ishfaq Khan.
Value creation: problem and solution approaches Jan Holmström Industrial Engineering and Management Aalto University School of Science.
MEC: Customer Profitability Models Topic DSM – DR, Advanced EE and Dispatch Ability Jesse Langston, OG&E Oct 20 th 2013.
Microgeneration and new end-use technologies in ADDRESS, INCA and SEESGEN-ICT Jussi Ikäheimo (VTT) (& Regine Belhomme, Giovanni Valtorta) IEA DSM 17 workshop.
Demand Response in Midwest ISO Markets February 17, 2008.
A NEW MARKET PLAYER: THE AGGREGATOR AND ITS INTERACTION WITH THE CONSUMER interaction Ramón Cerero, Iberdrola Distribución Paris, June 9th 2010 ADDRESS.
Consumer Empowerment Consumer Empowerment May 15, 2012 Presented by: Alparslan Bayraktar Commissioner Energy Market Regulatory Authority of Turkey (EPDK)
Samordningsrådet med kunskapsplattform för smarta elnät Smart Grid and Smart Metering - Swedish Experiences Karin Widegren, Director Swedish Coordination.
Demand Response: Keeping the Power Flowing in Southwest Connecticut Presented by: Henry Yoshimura Manager, Demand Response ISO New England September 30,
“Demand Response: Completing the Link Between Wholesale and Retail Pricing” Paul Crumrine Director, Regulatory Strategies & Services Institute for Regulatory.
Demand Response Workshop September 15, Definitions are important Demand response –“Changes in electricity usage by end-use customers from their.
Brussels Workshop Use case 3 11/09/2015 Mario Sisinni.
Technology for demand side management and demand side bidding for grid companies. Stig Fretheim 15. Mai 2003.
Increasing integration of variable RES-E: Policy and regulatory measures for T&D networks Luis Olmos Pontificia Comillas University Madrid / Spain
PJM© Demand Response in PJM 2009 NASUCA Mid-Year Meeting June 30, 2009 Boston, MA Panel: Price Responsive Demand – A Long-Term Bargain.
DR issues in California discussed last year in March Historical DR in California: some background issues –Twenty years of programs/tariffs I/C and AC cycling.
© Energy PoolSAS au capital de euros Energy Pool – 03/12/2012.
Demand Response
Smart grid project - interim report - Interim report for the 6th Steering Group Meeting of the Priority Area 2 Budapest,13 June 2013 The project is supported.
Measuring the potential value of demand response using historical market data International Energy Workshop Venezia, June 2009 Graziano Abrate, University.
California Independent System Operator 1 Department of Market Analysis California Independent System Operator California ISO Creation Time: July,
Évora demonstrator site
Energy Economics Group, TU Wien
SmartNet: A European research project to study TSO-DSO coordination for ancillary services provision from distribution networks Gianluigi Migliavacca (RSE)
Overview of the NYISO Demand Response Programs
A new platform for testing TSO-DSO coordination schemes
Market Architectures Integrating Ancillary Services from Distributed Energy Resources Olivier Devolder Head of Energy Group N-SIDE.
Alternative Transactive Electricity Market Models
Breakout Session on Smart Grid Data Analytics
Electricity Wholesale Markets: Designs for a low-carbon future
Smart Grid Developments in Alberta
Agenda Context Motivation Scope Main expected results.
System Control based Renewable Energy Resources in Smart Grid Consumer
Promoting consumer engagement and demand response – The DSO Role
RealValue H2020 Overview RealValue project funded under H2020 LCE 8 – 2014: Local / small-scale storage Commenced 1st June 2015 (duration 36 months) EU.
Évora Demonstrator Site
ADDRESS Interactive energy
Lorenzo Kristov, Ph.D. Principal, Market & Infrastructure Policy
The Future of Demand Response in New England

Draft 2013 Energy-Efficiency Forecast
Powering Towards Clean Energy in Europe
HOLISDER Integrating Real-Intelligence in Energy Management Systems enabling Holistic Demand Response Optimization in Buildings and Districts Project presentation.
Reforming the Energy Vision in New York State
New England Electricity Restructuring Roundtable
12th IEEE PES PowerTech Conference
Generation Expansion Daniel Kirschen
Regulation for Smart Grids
DECISION
Svetlana Rybina, Lauri Holopainen
Arslan Ahmad Bashir Student No
Ahmad Elberry, Abdelghani Aljayyousi
Wholesale Electricity Costs
Energy Supply Business Model enabled by the Clean Energy Package
ELEC-E Smart Grid 16. Demand response of industrial loads
July update JANUARY 2019.
The Future Grid and Energy Storage
ELEC-E Smart Grid Demand response of commercial loads
Consumers at the heat of energy system?
Presentation transcript:

Taneli Leiskamo Antti Hyttinen ELEC-E8423 - Smart Grid Different market mechanisms for smart grid: bidding, real-time pricing, localized markets Taneli Leiskamo Antti Hyttinen 12.3.2019

Introduction: What is a smart grid market? “Smart grid” is a combination of physical infrastructure (=hardware) and markets that control the usage of those resources intelligently (=software). “Smart grid market” = Integration of existing markets, resources and new resources together. Designs: - Option 1: Current markets + Co-existing market (TSO and DSO) - Option 2: Current markets + Coordinated local markets (TSO-DSO platform or ISO) - Option 3: Current markets + Peer-to-peer markets (Blockchain?) A key feature of any smart market design is balancing with demand response. We look into: - Incentive Based Programs (e.g Demand bidding) - Price Based Programs (e.g Real Time Pricing) Also using locational information for demand response is assessed Market architectures in general are regulated or liberalized to some extent. New “smart” elements: Flexibility service provider Aggregation for BRP Independant aggregation Localized bidding Offer payments to customer to reduce their load during system need or stress Offer time-based rates of electricity directly to end users to promote customer demand response

Demand Bidding (Buyback) 1/2 General One alternative for an incentive based demand response program Customers bid flexibility on the whole-sale market → reduction of electrical load during a specific time Bid price lower than the market price → accepted mainly large customers (e.g. 1 MW and over) If unable to follow curtailment → penalty payments Special type of demand bidding in Emergency DR program voluntary, no penalty payments Customers sell their flexibility on the whole sale market If the bid is accepted, the customer is obliged to meet the reduction of power consumption If not able to follow through  penalty payments However, there is a special type of demand bidding

For Demand Response in general Demand Bidding 2/2 BENEFITS CHALLENGES For Demand Response in general Added income/bill savings for customers More choices for customers Overall lower market-price System reliability Avoided investments Efficient market environment Optimal utilizarion – forecasting the resource Lack of experience For Demand Bidding Passive DR (price based) can create uncertainty → forecasting demand Demand bidding (active method) reduces this uncertainty Privacy issues Concerns about load profiles and identities of bidders New bidding platforms are studied → e-g no third party needed for handling bids.

Real-time pricing (RTP) 1/2 General One alternative for price based demand response program Historically, pricing of electricity has undergone many changes Flat tariffs, IBR, Time-Of-Use (night & day tariffs) In RTP the price is determined according to the actual cost of electricity in the wholesale market. Customers are informed day ahead or rolling basis More real-time knowledge of prices → sophisticated decisions on consumption! Reflects the actual situation of the market & power system Customers/Consumers are motivated to decrease their electricity consumption during peak hours due to higher electricity price. This evens out daily variations of consumption.

Real-time pricing (RTP) 2/2 BENEFITS CHALLENGES considered effective & direct DR program Consumer is able to save on electricity bill by adjusting consumption Awareness of the situation of the market & grid Total energy consumption may decrease Somewhat harder to predict since big behavioural aspect Currently only a small portion of the benefit is returned to the consumer → smaller behavioural changes Metering system & transaction costs Challenges: Harder to predict -> causes uncertainty which already discussed in previous slide Engaging is a large benefit for the system as a whole, but only small portion in actual savings for the customer  is the customer instead willing to pay the few extra bucks to use electricity however he/she desires.

Localized markets 1/2 Basics: Why locational information and markets are needed? Energy transition and economic growth call for an electricity grid with more capacity, sometimes more quickly than infrastructure can be built or the added capacity is not economically optimal. → Use flexibility. In Finland there is currently little congestion in TSO grid or DSO grids Currently system operators can have direct control, bilateral contracts with individual parties or mFFR bids can have a rough locational tag Locational (real time) info for smart grid markets is needed for: Aggregation and independent aggregation Congestion solutions Other ancillary services The cost of grid stabilisation measures in Germany reached a €1.4bn last year (2017), a record high, according to the country’s regulator BNetzA. Total redispatch volume reached 20,439 gigawatt-hours in 2017, the agency added. This included about 10,200GWh of curtailment and some 10,238GWh of additional ordered capacity. “How to coordinate?”

Localized markets 2/2 Open questions: Order: “First fix congestion then balance?” Costs: “What about BRPs?” “What is the business model?” Market integration: “How incorporate smart markets to the current ones?” System operation: “Who has market responsibility?” Clean energy package (draft): “services provided by storage facilities to the grid operators can be seen as alternatives to grid extension, and this should be reflected in the investment analysis.” Example markets / development projects regarding DSO and DSO-TSO balancing markets are: INTER(R)FACE, GOPACS, NODES, ENERO

Conclusions Demand bidding increases electricity market efficiency and lowers the uncertainty caused by DR. However, one major issue is the lack of sufficient privacy. Real-time pricing aims to decrease the peak demands through real-time electricity price changes, and consumers may save on their electricity bill. However, includes higher transaction & metering costs and higher uncertainty. Localized markets utilizing flexibility are at the core of smart grids, but concepts are not yet fully mature THANK YOU!

List of references Aalami, H.A. & Khatibzadeh, A. 2016. Regulation of market clearing price based on nonlinear models of demand bidding and emergency demand response programs. International Transactions on Electrical Energy Systems. Vol. 26(11). pp. 2463-2478. Cited 10.3.2019 Aalto university, 2019. John Millar. Course material: ELEC-E8406 Electricity distribution and Markets. Albadi, M. H. & El-Saadany, E., 2008. A summary of demand response in electricity markets. Electric Power System Research, Vol. 78(11), pp. 1989-1996. Cited 10.3.2019 Chen, C. et al. 2011. An innovative RTP-based residential power scheduling scheme for smart grids. 2011. IEEE International Conference on Acoustics, Speech and Signal Processing. Prague. Cited 10.3.2019 Elering. INTER(R)FACE. [Online source]. Accessed 10.3.2018. Available:https://elering.ee/en/working-group-led-elering-receives-eu-horizon2020-funding-creating-unique-platform-electricity Fingrid. Balancing markets. [Online source]. Accessed 10.3.2018. Available:https://www.fingrid.fi/sahkomarkkinat/sahkomarkkinoiden-tulevaisuus/askelmerkit-sahkomarkkinamurrokseen/pohjoismainen-tasehallinta-ja-uudet-pohjoismaiset-markkinapaikat/ Helen. Tehomaksu. [Online source]. Accessed 10.3.2018. Available:https://www.helensahkoverkko.fi/uutiset/2017/siirtohinnat-muuttuvat/#miten-tehomaksu-maaraytyy Steriotis, K. et al. 2018. A novel behavioral real time pricing scheme for the active energy consumers’ participation in emerging flexibility markets. Sustainable Energy, Grids and Networks. Vol. 16. pp. 14-27. Cited 10.3.2019 Uludag, S. et al. 2015. Privacy-Guaranteeing Bidding in Smart Grid Demand Response Programs. 2015 IEEE Globecom Workshops. San Diego. Cited 10.3.2019 US Department of Energy. 2006. Benefits for Demand Response in Electricity Markets and Recommendations for Achieving Them. Cited 10.3.2019 USEF. Flexibility. [Online source]. Accessed 10.3.2018. Available:https://www.usef.energy/flexibility/