Invest in Power Arie Kapulkin Active Power Investments LLC Niagara Falls, ON 19 September 2012.

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Invest in Power Arie Kapulkin Active Power Investments LLC Niagara Falls, ON 19 September 2012

Transcript of Invest in Power Arie Kapulkin Active Power Investments LLC Niagara Falls, ON 19 September 2012.

Page 1: Invest in Power Arie Kapulkin Active Power Investments LLC Niagara Falls, ON 19 September 2012.

Invest in Power

Arie KapulkinActive Power Investments LLC

Niagara Falls, ON19 September 2012

Page 2: Invest in Power Arie Kapulkin Active Power Investments LLC Niagara Falls, ON 19 September 2012.

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Outline

• Overview of Energy Trading

• Development of Nodal Power Markets

• Financial trading in Nodal Power Markets

• Risk Management

• Opportunities for investors

• Conclusions

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What is Energy Trading?

• A purchase or sale of energy, paper or physical, for consumption or resale

• Purchase or sale for consumption or resale in the very short time frame refers to spot energy trading; energy trading in the future refers to futures/forwards

• Why Trade? Energy Trading results in realization of gains from trade – there is no different from other trading of commodities or goods

• Examples include: oil, gas, power, coal, emissions, weather, etc.; all these commodities can be traded

• We can trade products and their derivatives; derivatives are instruments that derive their value from the underlying product

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Traded Products: Temporal Dimension

• Spot (cash) market is same hour/day (Example: Real-Time (RT)) for immediate production or consumption

• Day Ahead (DA) is a type of the short-term hourly or block-based forward market for the next day

• Futures or forward market is trading for some remote time period

• Examples: balance of the month, prompt month, 3 to 5 years out Henry Hub on NYMEX

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Traded Products: Spatial Dimension

• Energy is traded worldwide

• Oil is traded on major energy exchanges: NY Harbor, WTI – Cushing, Gulf Coast, North Sea, Singapore

• Gas is traded at Henry Hub in LA and AECO in Alberta and a number of secondary gas hubs; Ze Brugge terminal in Europe, etc.

• Electricity is traded at great many locations due to its local production and consumption nature: All over the world (Example: Electricity Hubs in the US)

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Where is Energy Traded?

• One-to-one: individual bilateral deals

• Many-to-one: marketers • Model pioneered by Enron

• Requires the company to actively match buyers and sellers

• Many-to-many: ICE, Nodal Exchange, Futures Markets• Platform to enable clearing b/w multiple participants

• Organized power markets• New ways to transact: central clearing of locational bids by system

operators (ISOs and RTOs)

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Outline

• Overview of Energy Trading

• Development of Nodal Power Markets

• Financial trading in Nodal Power Markets

• Risk Management

• Opportunities for investors

• Conclusions

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generation

customerservice

distribution

transmission

IPP self-generation

CUSTOMERSTheory

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generation

customerservice

distribution

transmission

IPPself-generation

CUSTOMERS PracticeCopyright © 2012 by Active Power Investments LLC

All Rights Reserved

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power exchangegeneration

customerservice

distribution

transmissiongeneration

customerservice

distribution

transmission

ISO

marketing

trading

ancillary srvcs

Transition

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Power Marketing and Energy Trading Explosion

• Utilities, financial houses, marketers, brokers, generating entities, and speculators are buying, selling, and swapping power/energy on an ever-increasing scale

• The total volume of trade is multiples of the value of the underlying commodity

• Power marketing / brokering has grown tremendously since the start of deregulation

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North American Regional Transmission Organizations

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Move from the Zonal To FNM – Nodal Market

• No intra-zonal constraints enforced • Internal Congestion Zones – Constraints enforced between zones

• Full Network Model (All constraints enforced) • Locational Marginal Pricing at each node

NP15

SP15

ZP26

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Why Nodal?

• Efficiency: minimization of production cost– System-wide, incentive-compatible

• Advanced locational signal for buyers and sellers to match next day needs and supplies

• Economic signal (LMP) to Gens and Demand Response while protecting load

• Congestion risk management (CRR/FTR/TCC) and transmission planning

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Locational Marginal Prices in Nodal Markets

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Outline

• Overview of Energy Trading

• Development of Nodal Power Markets

• Financial trading in Nodal Power Markets

• Risk Management

• Opportunities for investors

• Conclusions

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Financial Instruments

• Virtual Trading: trade DAM vs. RTM– Virtual Supply (Financial Generator): sell DA buy

RT– Virtual Demand (Financial Load): buy DA sell RT

• Congestion Revenue Rights (aka FTR or TCC)– Buy or sell congestion between two nodes– Buy in monthly/seasonal, settle in DAM

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Virtuals as Purely Financial Instruments

• Used to capture the price difference between DAM and RTM at a location

• If the location price in DAM is expected to be greater than RTM, then an Inc at that location would be the correct tool

• If the location price in DAM is expected to be less than RTM, then a Dec at that location would be the correct tool

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Incs and Decs as Financial Instruments

Inc Payoff ($)

RT LMP ($)DA• RT2

RT1

P1

P2

Dec Payoff ($)

RT LMP ($)DA

•RT2

RT1

P1

P2

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FTR/CRR/TCC: Traffic Power

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Regular Congestion

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Extreme Congestion

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FTR Properties

• Financial settlement, no physical delivery• Can be acquired centrally or from another

participant • Can be bought or sold b/w any two pricing

locations (aka injection and withdrawal points, or source and sink) defining a path

• Can cover on-peak or off-peak• FTR payoff can be either positive or negative

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Financial Perspective

• Hedgers: offset the expected congestions• Speculators: look for most profitable paths• Look at FTRs as a stand-alone financial

instrument• Purchase Forward Contract for congestion

difference at a set price• Delivery is based upon DAM price differences

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Financial Perspective cont.

• Goal of FTR spec bids: Buy the FTR in the auction at less than the total amount of the congestion revenue which will be paid to the FTR holder throughout the auction period

• These financial instruments could be thought of as investments that get future “earnings”

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Outline

• Overview of Energy Trading

• Development of Nodal Power Markets

• Financial trading in Nodal Power Markets

• Risk Management

• Opportunities for investors

• Conclusions

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FTR Holder Risks

• FTR Holder purchased an FTR with anticipation of congestion happening in one direction

• Actual system conditions can change from auction assumptions

• System conditions and DA market clearing can be different than holder’s assumptions

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VaR: Portfolio Mapping

West Portfolio

East Portfolio

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VaR and Electricity

• Market Prices have relatively short histories compared to financial indexes

• Price distribution: Fat tails, Outliers, Price Jumps in spot prices

• High Volatilities, Unstable Correlations

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Oil & Gas Impact

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Stress Testing

• Focus on potential sources of risk that– Impact the portfolio seriously– Have not occurred in the recent past

• No standard/scientific way to reliably measure risk– Scenarios tailored to the portfolio

• Stress testing looks for the worst outcome in contrast to VaR which looks at extreme movements in price distribution

• Stress testing is more effective when the portfolio has fewer sources of risk

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Outline

• Overview of Energy Trading

• Development of Nodal Power Markets

• Financial trading in Nodal Power Markets

• Risk Management

• Opportunities for investors

• Conclusions

Page 34: Invest in Power Arie Kapulkin Active Power Investments LLC Niagara Falls, ON 19 September 2012.

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Recent and future developments

• CA• TX (ERCOT)• SPP

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Why invest in power nodal markets?

• New less efficient markets, higher spreads• Higher barriers to entry (talent, data, analysis,

process, ISO / regulatory compliance)• Uncorrelated with equity, debt, FX, real estate• No to very low correlation with other energy

commodities such as oil or NG• Multiple independent power markets –

diversification of opportunities

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$/M

Wh

$/M

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uDaily Price Comparison NG - Power

Carthage HUB_North

Correlation: 0.0516(Pearson linear correlation coefficient)

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1/1/2010 2/1/2010 3/1/2010 4/1/2010 5/1/2010 6/1/2010 7/1/2010 8/1/2010 9/1/2010 10/1/2010 11/1/2010 12/1/2010 $/M

Wh

$

S&P 500 vs SP15 MCC - NP15 MCC

S&P 500 MCC Spread

Correlation: 0.004

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Key Points and Conclusions

• Virtual Offers/Bids– Prediction of RT price with some degree of

accuracy is a must to achieve the goal– Diversification across pricing points is a key factor– Offers financial participants risk premiums when

arbitraging DA – RT price differences

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Key Points and Conclusions

• FTR –Congestion patterns change over time– Short-term congestion is harder to predict

(month-to-month, day-to-day)– Long-term congestion may be more predictable

but does change based on new generation/transmission construction (or retirements)

– FTRs are a tool that can provide profitable opportunities for financial participants

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Questions?

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