EE 369 POWER SYSTEM ANALYSIS

Slides:



Advertisements
Similar presentations
EE 369 POWER SYSTEM ANALYSIS
Advertisements

Announcements Homework 6 is due on Thursday (Oct 18)
The Competitive Effects of Ownership of Financial Transmission Rights in a Deregulated Electricity Industry Manho Joung and Ross Baldick Electrical and.
EE 369 POWER SYSTEM ANALYSIS
Ramping and CMSC (Congestion Management Settlement Credit) payments.
EE 369 POWER SYSTEM ANALYSIS
MISO’s Midwest Market Initiative APEX Ron McNamara October 31, 2005.
EE 369 POWER SYSTEM ANALYSIS
Announcements Be reading Chapter 6, also Chapter 2.4 (Network Equations). HW 5 is 2.38, 6.9, 6.18, 6.30, 6.34, 6.38; do by October 6 but does not need.
ECE 333 Renewable Energy Systems Lecture 14: Power Flow Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at Urbana-Champaign.
ECE 333 Renewable Energy Systems Lecture 13: Per Unit, Power Flow Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois.
I/O Curve The IO curve plots fuel input (in MBtu/hr) versus net MW output.
ECE 530 – Analysis Techniques for Large-Scale Electrical Systems Prof. Hao Zhu Dept. of Electrical and Computer Engineering University of Illinois at Urbana-Champaign.
EE 553 LPOPF J. McCalley 1. LPOPF The linear program optimal power flow (LPOPF) is functionally equivalent to the SCED, except whereas LPOPF implements.
EE 369 POWER SYSTEM ANALYSIS
Lecture 16 Economic Dispatch Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS.
Announcements Be reading Chapter 7
Lecture 5 Power System Operation, Transmission Lines Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS.
Effects of the Transmission Network on Electricity Markets © 2011 D. Kirschen and the University of Washington 1.
EE 369 POWER SYSTEM ANALYSIS
EE369 POWER SYSTEM ANALYSIS
IMO Market Evolution Program Drew Phillips Market Evolution Program
©2003 PJM Factors Contributing to Wholesale Electricity Prices Howard J. Haas Market Monitoring Unit November 30, 2006.
Optimization for Operation of Power Systems with Performance Guarantee
ECE 476 Power System Analysis Lecture 6: Power System Operations, Transmission Line Parameters Prof. Tom Overbye Dept. of Electrical and Computer Engineering.
Announcements Please read Chapter 4 HW 1 is due now
April, 2008 Maximum Shadow Price. April, 2008 Protocol Requirement: Transmission Constraint Management (2)ERCOT shall establish a maximum Shadow.
Market Evolution Program Day Ahead Market Project How the DSO Calculates Nodal Prices DAMWG October 20, 2003.
Announcements Homework 7 is 6.46, 6.49, 6.52, 11.19, 11.21, 11.27; due date is Thursday October 30 Potential spring courses: ECE 431 and ECE 398RES (Renewable.
Announcements Please read Chapter 3; start on Chapter 6
Announcements Homework #4 is due now Homework 5 is due on Oct 4
1 Electricity System and Energy Market Basics David J. Lawrence Manager, Auxiliary Market Products Prepared for: RGGI I&L Workshop June 15, 2006.
January 21, 2010 Security Constrained Economic Dispatch Resmi Surendran.
PJM©2013www.pjm.com Economic DR participation in energy market ERCOT April 14, 2014 Pete Langbein.
Lecture 18 Fault Analysis Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS.
ECE 476 Power System Analysis Lecture 11: Ybus, Power Flow Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at Urbana-Champaign.
Lecture 13 Newton-Raphson Power Flow Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS.
ECE 476 Power System Analysis Lecture 17: OPF, Symmetrical Faults Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois.
Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS.
Lecture 11 Power Flow Professor Tom Overbye Special Guest Appearance by Professor Sauer! Department of Electrical and Computer Engineering ECE 476 POWER.
ECE 476 Power System Analysis Lecture 14: Power Flow Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at Urbana-Champaign.
Illinois Wholesale Market Update December 10, 2003.
Lecture 16 Economic Dispatch Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS.
Announcements Homework 8 is 11.19, 11.21, 11.26, 11.27, due now
ECE 476 Power System Analysis Lecture 18: LMP Markets, Symmetrical Faults and Components Prof. Tom Overbye Dept. of Electrical and Computer Engineering.
ECE 476 Power System Analysis Lecture 13: Power Flow Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at Urbana-Champaign.
ECE 530 – Analysis Techniques for Large-Scale Electrical Systems Prof. Hao Zhu Dept. of Electrical and Computer Engineering University of Illinois at Urbana-Champaign.
0 Balanced 3 Phase (  ) Systems A balanced 3 phase (  ) system has three voltage sources with equal magnitude, but with an angle shift of 120  equal.
Announcements Please read Chapter 7 HW 6 is due today
Announcements Please read Chapters 7 and 8
Announcements Please read Chapter 6
Reading and Homework For lecture 3 please be reading Chapters 1 and 2
Announcements Homework 7 is due now.
EE/Econ 458 LPOPF J. McCalley.
ECE 476 POWER SYSTEM ANALYSIS
ECE 476 POWER SYSTEM ANALYSIS
ECEN 460 Power System Operation and Control
ECE 476 POWER SYSTEM ANALYSIS
ECEN 460 Power System Operation and Control
ECE 476 POWER SYSTEM ANALYSIS
ECE 476 POWER SYSTEM ANALYSIS
ECEN 460 Power System Operation and Control
ECE 476 POWER SYSTEM ANALYSIS
ECEN 460 Power System Operation and Control
ECEN 460 Power System Operation and Control
PJM & Midwest ISO Market-to-Market Coordination (APEx Conference 2007)
ECEN 460 Power System Operation and Control
ECEN 460 Power System Operation and Control
ECEN 460 Power System Operation and Control
Presentation transcript:

EE 369 POWER SYSTEM ANALYSIS Lecture 17 Optimal Power Flow, LMPs Tom Overbye and Ross Baldick

Announcements Read Chapter 7. Homework 12 is 6.43, 6.48, 6.59, 6.61, 12.19, 12.22, 12.20, 12.24, 12.26, 12.28, 12.29; due Tuesday Nov. 25. Homework 13 is 12.21, 12.25, 12.27, 7.1, 7.3, 7.4, 7.5, 7.6, 7.9, 7.12, 7.16; due Thursday, December 4.

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). OPF is used as basis for real-time pricing in major US electricity markets such as MISO, PJM, CA, and ERCOT (from December 2010).

Electricity Markets 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 have been widely adopted (options, forwards, hedges, swaps).

Electricity Futures Example Source: Wall Street Journal Online, 10/30/08

“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.

Two Bus ED Example

Market Marginal (Incremental) Cost 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

Real Power Markets Different operating regions impose constraints – may limit ability to achieve economic dispatch “globally.” Transmission system imposes constraints on the market: Marginal costs differ at different buses. Optimal dispatch solution requires solution by an optimal power flow Charging for energy based on marginal costs at different buses is called “locational marginal pricing” (LMP) or “nodal” pricing.

Pricing Electricity LMP indicates the additional cost to supply an additional amount of electricity to bus. Some electric markets price wholesale energy at LMP: ERCOT began this in December 2010. In there were no transmission limitations then the LMPs would be the same at all buses: Equal to value of lambda from economic dispatch. Transmission constraints result in differing LMPs at buses. Determination of LMPs requires the solution of an “Optimal Power Flow” (OPF).

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

OPF, cont’d Inequality constraints: Available Controls: 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

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 (LP): fast and efficient in determining binding constraints, but can have difficulty with marginal losses. used in PowerWorld Simulator

LP OPF Solution Method Solution iterates between: solving a full ac power flow solution enforces real/reactive power balance at each bus enforces generator reactive limits system controls are assumed fixed takes into account non-linearities solving an LP changes system controls to enforce linearized constraints while minimizing cost

Two Bus with Unconstrained Line With no overloads the OPF matches the economic dispatch Transmission line is not overloaded Marginal cost of supplying power to each bus (locational marginal costs) This would be price paid by load and paid to the generators.

Two Bus with Constrained Line With the line loaded to its limit, additional load at Bus A must be supplied locally, causing the marginal costs to diverge. Similarly, prices paid by load and paid to generators will differ bus by bus.

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.

B3 with Line Limits NOT Enforced Line from Bus 1 to Bus 3 is over- loaded; all buses have same marginal cost (but not allowed to dispatch to overload line!)

B3 with Line Limits Enforced LP OPF redispatches to remove violation. Bus marginal costs are now different. Prices will be different at each bus.

Verify Bus 3 Marginal Cost One additional MW of load at bus 3 raised total cost by 14 $/hr, as G2 went up by 2 MW and G1 went down by 1MW.

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.

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: Extra production of 1MW: Pg1 + Pg2 = 1 MW No more flow on line 1 to 3: 2/3 Pg1 + 1/3 Pg2 = 0; Solving requires we increase Pg2 by 2 MW and decrease Pg1 by 1 MW – for a net increase of $14/h for the 1 MW increase. That is, the marginal cost of delivering power to bus 3 is $14/MWh.

Both lines into Bus 3 Congested For bus 3 loads above 200 MW, the load must be supplied locally. Then what if the bus 3 generator breaker opens?

Typical Electricity Markets Electricity markets trade various 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 (offer roughly represents marginal costs); OPF is used to determine who gets dispatched based upon forecasted conditions. Results are “financially” binding: either generate or pay for someone else. Real-time: Modifies the conditions from the day ahead market based upon real-time conditions.

Payment Generators are not paid their offer, rather they are paid the LMP at their bus, while the loads pay the LMP: In most systems, loads are charged based on a zonal weighted average of LMPs. At the residential/small commercial level the LMP costs are usually not passed on directly to the end consumer. Rather, these consumers typically pay a fixed rate that reflects time average of LMPs. LMPs differ across the system due to transmission system “congestion.”

LMPs at 8:55 AM on one day in Midwest. Source: www.midwestmarket.org

LMPs at 9:30 AM on same day

MISO LMP Contours – 10/30/08

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 involves setting a price and emitter of CO2 pays based upon how much CO2 is emitted. 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.