ECE 476 Power System Analysis Lecture 15: Power Flow Sensitivities, Economic Dispatch Prof. Tom Overbye Dept. of Electrical and Computer Engineering University.

Slides:



Advertisements
Similar presentations
Electrical and Computer Engineering Mississippi State University
Advertisements

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 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 6: Power System Operations Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois.
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.
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 369 POWER SYSTEM ANALYSIS
Lecture 16 Economic Dispatch Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS.
ECE 333 Renewable Energy Systems Lecture 2: Introduction, Power Grid Components Prof. Tom Overbye Dept. of Electrical and Computer Engineering University.
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.
ECE 333 Renewable Energy Systems Lecture 7: Power System Operations, Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering.
System Planning & Operations Spring 2010
Introduction to Optimization (Part 1)
EE 369 POWER SYSTEM ANALYSIS
1 Least Cost System Operation: Economic Dispatch 2 Smith College, EGR 325 March 10, 2006.
Least Cost System Operation: Economic Dispatch 1
National Renewable Energy Laboratory Innovation for Our Energy Future * NREL July 5, 2011 Tradeoffs and Synergies between CSP and PV at High Grid Penetration.
Costs of Ancillary Services & Congestion Management Fedor Opadchiy Deputy Chairman of the Board.
ECE 476 Power System Analysis Lecture 6: Power System Operations, Transmission Line Parameters Prof. Tom Overbye Dept. of Electrical and Computer Engineering.
ECE 576 – Power System Dynamics and Stability
Announcements Please read Chapter 4 HW 1 is due now
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.
Mechanical Engineering Department ME 332 Operation and Management of Power Plants Prof. Osama A El Masry Power Plant Selection & Economics Prof. Osama.
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.
Announcements Read Chapters 8 and 9
October 29, Organizational role of Short-Term Planning and Hydro Duty Scheduling Relationship to other groups in BPA Planning and analysis job.
Announcements Read Chapters 8 and 9 HW 9 quiz today
Lecture 17 Optimal Power Flow, LMPs Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS.
ECE 476 Power System Analysis Lecture 12: Power Flow Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at Urbana-Champaign.
ECE 476 Power System Analysis Lecture 14: 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. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois.
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 576 – Power System Dynamics and Stability Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at Urbana-Champaign.
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.
ECE 530 – Analysis Techniques for Large-Scale Electrical Systems Prof. Hao Zhu Special thanks to Dr. Kai Van Horn Dept. of Electrical and Computer Engineering.
ECE 576 – Power System Dynamics and Stability Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at Urbana-Champaign.
Lecture 15 Economic Dispatch Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS.
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.
Lecture 14 Power Flow Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS.
Announcements Please read Chapter 7 HW 6 is due today
Announcements Please read Chapter 6
Reading and Homework For lecture 3 please be reading Chapters 1 and 2
Announcements Homework 7 is 6.46, 6.49, 6.52, 11.19, 11.21, 11.27; due date is October 30 Potential spring courses: ECE 431 and ECE 398RES (Renewable Electric.
Announcements Homework 7 is due now.
ECE 476 Power System Analysis
ECEN 460 Power System Operation and Control
ME 312 PPE POWER SYSTEM ANALYSIS
Economic Operation of Power Systems
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
EE 369 POWER SYSTEM ANALYSIS Lecture 15 Economic Dispatch Tom Overbye and Ross Baldick 1.
LMP calculations Congestion evaluation
ECE 333 Renewable Energy Systems
ECEN 460 Power System Operation and Control
ECEN 460 Power System Operation and Control
ECEN 460 Power System Operation and Control
ECEN 615 Methods of Electric Power Systems Analysis
ECEN 460 Power System Operation and Control
Solar Energy Commercialization
Presentation transcript:

ECE 476 Power System Analysis Lecture 15: Power Flow Sensitivities, Economic Dispatch Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at Urbana-Champaign

Announcements Read Chapter 6, Chapter 12.4 and 12.5 HW 7 is 6.50, 6.52, 6.59, 12.20, 12.26; due October 22 in class (no quiz) 1

Balancing Authority Areas An balancing authority area (use to be called operating areas) has traditionally represented the portion of the interconnected electric grid operated by a single utility Transmission lines that join two areas are known as tie-lines. The net power out of an area is the sum of the flow on its tie-lines. The flow out of an area is equal to total gen - total load - total losses = tie-flow 2

Area Control Error (ACE) The area control error (ace) is the difference between the actual flow out of an area and the scheduled flow, plus a frequency component Ideally the ACE should always be zero. Because the load is constantly changing, each utility must constantly change its generation to “chase” the ACE. 3

Automatic Generation Control Most utilities use automatic generation control (AGC) to automatically change their generation to keep their ACE close to zero. Usually the utility control center calculates ACE based upon tie-line flows; then the AGC module sends control signals out to the generators every couple seconds. 4

Power Transactions Power transactions are contracts between generators and loads to do power transactions. Contracts can be for any amount of time at any price for any amount of power. Scheduled power transactions are implemented by modifying the value of P sched used in the ACE calculation 5

PTDFs Power transfer distribution factors (PTDFs) show the linear impact of a transfer of power. PTDFs calculated using the fast decoupled power flow B matrix 6

Nine Bus PTDF Example Figure shows initial flows for a nine bus power system 7

Nine Bus PTDF Example, cont'd Figure now shows percentage PTDF flows from A to I 8

Nine Bus PTDF Example, cont'd Figure now shows percentage PTDF flows from G to F 9

WE to TVA PTDFs 10

Line Outage Distribution Factors (LODFS) LODFs are used to approximate the change in the flow on one line caused by the outage of a second line – typically they are only used to determine the change in the MW flow – LODFs are used extensively in real-time operations – LODFs are state-independent but do dependent on the assumed network topology 11

Flowgates The real-time loading of the power grid is accessed via “flowgates” A flowgate “flow” is the real power flow on one or more transmission element for either base case conditions or a single contingency – contingent flows are determined using LODFs Flowgates are used as proxies for other types of limits, such as voltage or stability limits 12

NERC Regional Reliability Councils NERC is the North American Electric Reliability Council Image: 13

NERC Reliability Coordinators Image: 14

Generation Dispatch Since the load is variable and there must be enough generation to meet the load, almost always there is more generation capacity available than load Optimally determining which generators to use can be a complicated task due to many different constraints – For generators with low or no cost fuel (e.g., wind and solar PV) it is “use it or lose it” – For others like hydro there may be limited energy for the year – Some fossil has shut down and start times of many hours Economic dispatch looks at the best way to instantaneously dispatch the generation 15

Generator types Traditionally utilities have had three broad groups of generators – baseload units: large coal/nuclear; always on at max. – midload units: smaller coal that cycle on/off daily – peaker units: combustion turbines used only for several hours during periods of high demand Wind and solar PV can be quite variable; usually they are operated at max. available power 16

Example California Wind Output Source: 17 Image shows wind output for a month by hour and day

Thermal versus Hydro Generation The two main types of generating units are thermal and hydro, with wind rapidly growing For hydro the fuel (water) is free but there may be many constraints on operation – fixed amounts of water available – reservoir levels must be managed and coordinated – downstream flow rates for fish and navigation Hydro optimization is typically longer term (many months or years) In 476 we will concentrate on thermal units and some wind, looking at short-term optimization 18

Block Diagram of Thermal Unit To optimize generation costs we need to develop cost relationships between net power out and operating costs. Between 2-6% of power is used within the generating plant; this is known as the auxiliary power 19

Modern Coal Plant Source: Masters, Renewable and Efficient Electric Power Systems,

Turbine for Nuclear Power Plant Source: 21

Basic Gas Turbine Brayton Cycle: Working fluid is always a gas Most common fuel is natural gas Typical efficiency is around 30 to 35% 22

Combined Cycle Power Plant Efficiencies of up to 60% can be achieved, with even higher values when the steam is used for heating. Fuel is usually natural gas 23

Generator Cost Curves Generator costs are typically represented by up to four different curves – input/output (I/O) curve – fuel-cost curve – heat-rate curve – incremental cost curve For reference – 1 Btu (British thermal unit) = 1054 J – 1 MBtu = 1x10 6 Btu – 1 MBtu = MWh – 3.41 Mbtu = 1 MWh 24

I/O Curve The IO curve plots fuel input (in MBtu/hr) versus net MW output. 25

Fuel-cost Curve The fuel-cost curve is the I/O curve scaled by fuel cost. A typical cost for coal is $ 1.70/Mbtu. 26

Heat-rate Curve Plots the average number of MBtu/hr of fuel input needed per MW of output. Heat-rate curve is the I/O curve scaled by MW Best for most efficient units are around

Incremental (Marginal) cost Curve Plots the incremental $/MWh as a function of MW. Found by differentiating the cost curve 28

Mathematical Formulation of Costs Generator cost curves are usually not smooth. However the curves can usually be adequately approximated using piece-wise smooth, functions. Two representations predominate – quadratic or cubic functions – piecewise linear functions In 476 we'll assume a quadratic presentation 29

Coal Usage Example 1 A 500 MW (net) generator is 35% efficient. It is being supplied with Western grade coal, which costs $1.70 per MBtu and has 9000 Btu per pound. What is the coal usage in lbs/hr? What is the cost? 30

Coal Usage Example 2 Assume a 100W lamp is left on by mistake for 8 hours, and that the electricity is supplied by the previous coal plant and that transmission/distribution losses are 20%. How coal has been used? 31

Incremental Cost Example 32

Incremental Cost Example, cont'd 33

Economic Dispatch: Formulation The goal of economic dispatch is to determine the generation dispatch that minimizes the instantaneous operating cost, subject to the constraint that total generation = total load + losses Initially we'll ignore generator limits and the losses 34

Unconstrained Minimization This is a minimization problem with a single inequality constraint For an unconstrained minimization a necessary (but not sufficient) condition for a minimum is the gradient of the function must be zero, The gradient generalizes the first derivative for multi-variable problems: 35

Minimization with Equality Constraint When the minimization is constrained with an equality constraint we can solve the problem using the method of Lagrange Multipliers Key idea is to modify a constrained minimization problem to be an unconstrained problem 36

Economic Dispatch Lagrangian 37

Economic Dispatch Example 38

Economic Dispatch Example, cont’d 39