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Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

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Page 1: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

Lecture 17Optimal Power Flow, LMPs

Professor Tom OverbyeDepartment of Electrical and

Computer Engineering

ECE 476

POWER SYSTEM ANALYSIS

Page 2: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

2

Announcements

Homework 7 is due now. Homework 8 is 7.1, 7.17, 7.20, 7.24, 7.27

Should be done before second exam; not turned in

Be reading Chapter 7 Design Project is assigned today (see website for details).

Due date is Nov 20. Exam 2 is Thursday Nov 13 in class. Grainger Power Engineering Award Applications Due

Nov 1. See below for details:http://energy.ece.uiuc.edu/Grainger.html

Page 3: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

3

Back of Envelope Values

Often times incremental costs can be approximated by a constant value:

– $/MWhr = fuelcost * heatrate + variable O&M– Typical heatrate for a coal plant is 10, modern combustion

turbine is 10, combined cycle plant is 7 to 8, older combustion turbine 15.

– Fuel costs ($/MBtu) are quite variable, with current values around 2 for coal, 7 for natural gas, 0.5 for nuclear, probably 10 for fuel oil.

– Hydro costs tend to be quite low, but are fuel (water) constrained

Page 4: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

4

Aside: Levelized Cost of Generation

Source: California Energy Commission: http://energyalmanac.ca.gov/electricity/levelized_costs.html

Technology $/MWh (2007 Dollars) (IOU)

Advanced Nuclear 104

Wind – Class 5 67

Solar – Photovoltaic 686

Solar – Concentrating 434

Solar – Parabolic Trough 281

Ocean Wave (Pilot) 838

Small Scale Hydro 118

Geothermal 63

Keep in mind these numbers involve LOTs of assumptionsthat can drastically affect the value, and that many technology costs are site dependent.

Page 5: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

5

Area Supply Curve

0 100 200 300 400Total Area Generation (MW)

0.00

2.50

5.00

7.50

10.00

The area supply curve shows the cost to produce thenext MW of electricity, assuming area is economicallydispatched

Supplycurve forthirty bussystem

Page 6: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

6

Economic Dispatch - Summary

Economic dispatch determines the best way to minimize the current generator operating costs

The lambda-iteration method is a good approach for solving the economic dispatch problem– generator limits are easily handled– penalty factors are used to consider the impact of losses

Economic dispatch is not concerned with determining which units to turn on/off (this is the unit commitment problem)

Economic dispatch ignores the transmission system limitations

Page 7: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

7

Optimal Power Flow

The goal of an optimal power flow (OPF) is to determine the “best” way to instantaneously operate a power system.

Usually “best” = minimizing operating cost. OPF considers the impact of the transmission system OPF is used as basis for real-time pricing in major

US electricity markets such as MISO and PJM. ECE 476 introduces the OPF problem and provides

some demonstrations.

Page 8: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

8

Electricity Markets

Over last ten years electricity markets have moved from bilateral contracts between utilities to also include spot markets (day ahead and real-time).

Electricity (MWh) is now being treated as a commodity (like corn, coffee, natural gas) with the size of the market transmission system dependent.

Tools of commodity trading are being widely adopted (options, forwards, hedges, swaps).

Page 9: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

9

Electricity Futures Example

Source: Wall Street Journal Online, 10/30/08

Page 10: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

10

“Ideal” Power Market

Ideal power market is analogous to a lake. Generators supply energy to lake and loads remove energy.

Ideal power market has no transmission constraints Single marginal cost associated with enforcing constraint

that supply = demand– buy from the least cost unit that is not at a limit– this price is the marginal cost

This solution is identical to the economic dispatch problem solution

Page 11: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

11

Two Bus ED Example

Total Hourly Cost :

Bus A Bus B

300.0 MWMW

199.6 MWMW 400.4 MWMW300.0 MWMW

8459 $/hr Area Lambda : 13.02

AGC ON AGC ON

Page 12: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

12

Market Marginal (Incremental) Cost

0 175 350 525 700Generator Power (MW)

12.00

13.00

14.00

15.00

16.00

Below are some graphs associated with this two bus system. The graph on left shows the marginal cost for each of the generators. The graph on the right shows the system supply curve, assuming the system is optimally dispatched.

Current generator operating point

0 350 700 1050 1400Total Area Generation (MW)

12.00

13.00

14.00

15.00

16.00

Page 13: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

13

Real Power Markets

Different operating regions impose constraints -- total demand in region must equal total supply

Transmission system imposes constraints on the market

Marginal costs become localized Requires solution by an optimal power flow

Page 14: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

14

Optimal Power Flow (OPF)

OPF functionally combines the power flow with economic dispatch

Minimize cost function, such as operating cost, taking into account realistic equality and inequality constraints

Equality constraints– bus real and reactive power balance– generator voltage setpoints– area MW interchange

Page 15: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

15

OPF, cont’d

Inequality constraints– transmission line/transformer/interface flow limits– generator MW limits– generator reactive power capability curves– bus voltage magnitudes (not yet implemented in

Simulator OPF)

Available Controls– generator MW outputs– transformer taps and phase angles

Page 16: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

16

OPF Solution Methods

Non-linear approach using Newton’s method– handles marginal losses well, but is relatively slow and

has problems determining binding constraints

Linear Programming – fast and efficient in determining binding constraints, but

can have difficulty with marginal losses.– used in PowerWorld Simulator

Page 17: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

17

LP OPF Solution Method

Solution iterates between– solving a full ac power flow solution

enforces real/reactive power balance at each busenforces generator reactive limitssystem controls are assumed fixed takes into account non-linearities

– solving a primal LPchanges system controls to enforce linearized

constraints while minimizing cost

Page 18: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

18

Two Bus with Unconstrained Line

Total Hourly Cost :

Bus A Bus B

300.0 MWMW

197.0 MWMW 403.0 MWMW300.0 MWMW

8459 $/hr Area Lambda : 13.01

AGC ON AGC ON

13.01 $/MWh 13.01 $/MWh

Transmission line is not overloaded

With no overloads theOPF matchesthe economicdispatch

Marginal cost of supplyingpower to each bus (locational marginal costs)

Page 19: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

19

Two Bus with Constrained Line

Total Hourly Cost :

Bus A Bus B

380.0 MWMW

260.9 MWMW 419.1 MWMW300.0 MWMW

9513 $/hr Area Lambda : 13.26

AGC ON AGC ON

13.43 $/MWh 13.08 $/MWh

With the line loaded to its limit, additional load at Bus A must be supplied locally, causing the marginal costs to diverge.

Page 20: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

20

Three Bus (B3) Example

Consider a three bus case (bus 1 is system slack), with all buses connected through 0.1 pu reactance lines, each with a 100 MVA limit

Let the generator marginal costs be – Bus 1: 10 $ / MWhr; Range = 0 to 400 MW– Bus 2: 12 $ / MWhr; Range = 0 to 400 MW– Bus 3: 20 $ / MWhr; Range = 0 to 400 MW

Assume a single 180 MW load at bus 2

Page 21: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

21

Bus 2 Bus 1

Bus 3

Total Cost

0.0 MW

0 MW

180 MW

10.00 $/MWh

60 MW 60 MW

60 MW

60 MW120 MW

120 MW

10.00 $/MWh

10.00 $/MWh

180.0 MW

0 MW

1800 $/hr

120%

120%

B3 with Line Limits NOT Enforced

Line from Bus 1to Bus 3 is over-loaded; all buseshave same marginal cost

Page 22: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

22

B3 with Line Limits Enforced

Bus 2 Bus 1

Bus 3

Total Cost

60.0 MW

0 MW

180 MW

12.00 $/MWh

20 MW 20 MW

80 MW

80 MW100 MW

100 MW

10.00 $/MWh

14.00 $/MWh

120.0 MW

0 MW

1920 $/hr

100%

100%

LP OPF redispatchesto remove violation.Bus marginalcosts are nowdifferent.

Page 23: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

23

Bus 2 Bus 1

Bus 3

Total Cost

62.0 MW

0 MW

181 MW

12.00 $/MWh

19 MW 19 MW

81 MW

81 MW100 MW

100 MW

10.00 $/MWh

14.00 $/MWh

119.0 MW

0 MW

1934 $/hr

81%

81%

100%

100%

Verify Bus 3 Marginal Cost

One additional MWof load at bus 3 raised total cost by14 $/hr, as G2 wentup by 2 MW and G1went down by 1MW

Page 24: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

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Why is bus 3 LMP = $14 /MWh

All lines have equal impedance. Power flow in a simple network distributes inversely to impedance of path. – For bus 1 to supply 1 MW to bus 3, 2/3 MW would take

direct path from 1 to 3, while 1/3 MW would “loop around” from 1 to 2 to 3.

– Likewise, for bus 2 to supply 1 MW to bus 3, 2/3MW would go from 2 to 3, while 1/3 MW would go from 2 to 1to 3.

Page 25: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

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Why is bus 3 LMP $ 14 / MWh, cont’d

With the line from 1 to 3 limited, no additional power flows are allowed on it.

To supply 1 more MW to bus 3 we need – Pg1 + Pg2 = 1 MW– 2/3 Pg1 + 1/3 Pg2 = 0; (no more flow on 1-3)

Solving requires we up Pg2 by 2 MW and drop Pg1 by 1 MW -- a net increase of $14.

Page 26: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

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Both lines into Bus 3 Congested

Bus 2 Bus 1

Bus 3

Total Cost

100.0 MW

4 MW

204 MW

12.00 $/MWh

0 MW 0 MW

100 MW

100 MW100 MW

100 MW

10.00 $/MWh

20.00 $/MWh

100.0 MW

0 MW

2280 $/hr

100% 100%

100% 100%For bus 3 loadsabove 200 MW,the load must besupplied locally.Then what if thebus 3 generator opens?

Page 27: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

27

Profit Maximization: 30 Bus Example

1.000

slack

Gen 13 LMP3

1

4

2

576

28

10

119

8

22 2125

26

27

24

15

14

16

12

17

18

19

13

20

23

29 30

16 MW

11 MW

21 MW

2 MW

11 MW

19 MW

10 MW

A

MVA

A

MVA

A

MVA

A

MVA

66%A

MVA

A

MVA

A

MVA

A

MVA

A

MVA

68%A

MVA

67%A

MVA

52%A

MVA

A

MVA

A

MVA

A

MVA

52%A

MVA

73%A

MVA

A

MVA

A

MVAA

MVA

A

MVA

A

MVA

A

MVA

A

MVA

56%A

MVA

62%A

MVA

A

MVA

A

MVA

A

MVA

A

MVA

A

MVA

A

MVA

33.46 $/MWh

52.45 MW 69.58 MW

16.00 MW

35.00 MW

40.00 MW

24.00 MW

82%A

MVA

84%A

MVA

87%A

MVA

Page 28: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

28

Typical Electricity Markets

Electricity markets trade a number of different commodities, with MWh being the most important

A typical market has two settlement periods: day ahead and real-time

– Day Ahead: Generators (and possibly loads) submit offers for the next day; OPF is used to determine who gets dispatched based upon forecasted conditions. Results are financially binding

– Real-time: Modifies the day ahead market based upon real-time conditions.

Page 29: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

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Payment

Generators are not paid their offer, rather they are paid the LMP at their bus, the loads pay the LMP.

At the residential/commercial level the LMP costs are usually not passed on directly to the end consumer. Rather, they these consumers typically pay a fixed rate.

LMPs may differ across a system due to transmission system “congestion.”

Page 30: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

30

MISO LMP Contours – 10/30/08

Page 31: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

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Why not pay as bid?

Two options for paying market participants– Pay as bid– Pay last accepted offer

What would be potential advantages/disadvantages of both?

Talk about supply and demand curves, scarcity, withholding, market power

Page 32: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

32

Market Experiments

Page 33: Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS

33

Limiting Carbon Dioxide Emissions

• There is growing concern about the need to limit carbon dioxide emissions.

• The two main approaches are 1) a carbon tax, or 2) a cap-and-trade system (emissions trading)• The tax approach is straightforward – pay a fixed rate

based upon how the amount of CO2 is emitted. But there is a need to differentiate between carbon and CO2 (related by 12/44).

• A cap-and-trade system limits emissions by requiring permits (allowances) to emit CO2. The government sets the number of allowances, allocates them initially, and then private markets set their prices and allow trade.