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Disciplines of Smart Grid
Intelligent Measurements
Intelligent Decision and Control Systems
Environment - Renewables & EVs
Intelligent Power Electronics
Computational Intelligence
Cyber Security
Visual & Data Analytics
Intelligent Communications
What does AGC do
Adjusts real power outputs to maintain system frequency and scheduled tie-line power flows across interconnected areas
What is AGC
Automatic Generation Control
What does AGC correct in real-time
The Area Control Error (ACE)
What are the roles of the control layers
Primary: local governor droop -> stabilizes frequency immediately
Secondary: AGC -> restores frequency to nominal and balances tie-lines
Tertiary: Economic dispatch/OPF -> slower
Equation for Wind turbine generation
Pm = 0.5 Cp(λ
What is Pm in the Wind turbine equation
Mechanical power output of the turbine in Watts
What is Type A wind turbine?
Constant Speed Wind Turbine (WT)
What is Type B wind turbine?
Variable Speed Wind Turbine (WT)
What is Type C wind turbine?
Variable Speed Wind Turbine with partial-scale frequency converter
What is Type D wind turbine?
Variable Speed Wind Turbine with full-scale frequency converter
Advantage of DFIG or Type C wind turbine
Variable speed operation with a partial-rated converter
Advantage of Type D turbine
Full control of P and Q and no Gearbox but has larger power electronic converters (PECs) and higher costs.
What is the generator type used in Type D wind turbines?
SG: Synchronous Generator
What is a maintenance characteristic of Type D wind turbines?
Type D requires less maintenance but costs more.
What is a key feature of Type C wind turbines?
The PEC has a rating of only ~1/3 of the nominal power of the turbine.
What is the generator type used in Type C wind turbines?
DFIG: Double-Fed Induction Generator
V2G
Vehicle to Grid
SmartPark
EV inverter station acting as a grid resource (±25MW ≈ 1000 cars)
Disadvantages of SmartPark
Puts stress on grid capacity
Active Power control equation
P = 3/2 * (Vqs Iqs +Vds Ids)
Reactive Power control equation
Q = 3/2 * (Vqs Ids +Vds Iqs)
Something about laboratory implentation: Case studies
Fuzzy logic controller allows the wind turbine and smart park to stabilize the power output of their branch.
the controller decides to charge or discharge if the wind speed/generation increases or decreases
What is fuzzy systems
Reasoning method that allows partial truth values (between 0&1) rather than strictly binary yes/no logic
Equation of PV module equivalent circuit
Ia = Np * Isc (exp((VaIa*Rs)/(n * Ns * VT))-1)
Three types of Concentrated Solar Power (CSP)
Parabolic Trough (300 - 660F)
Tower (932 - 1832F)
Dish (480 - 1300F)
Building blocks of PVs
All in series:
Cell
Module
String
Array
MPPT
Maximum Power Point Tracking
What is Type 1 PV-System Architecture?
2 strings in parallel with 1 converter
What is Type 2 PV-System Architecture?
2 strings with dedicated converters
2 strings
2 converters
What is Type 3 PV-System Architecture?
2 strings with dedicated DC-DC converters and 1 system inverter
What is Type 4 PV-System Architecture
Modular with each panel having its own converter
What is a key advantage of Type 1 PV architecture?
Cheap
What is a key disadvantage of Type 1 PV architecture?
Very susceptible to failure
What is a key advantage of Type 2 PV architecture?
Less prone to failure
What is a key disadvantage of Type 2 PV architecture?
Slightly more expensive
What is a key disadvantage of Type 3 PV architecture?
More expensive and still prone to failure
What is a common issue with Type 3 PV architecture?
One common inverter has to fail
What is a key advantage of Type 4 PV architecture?
Modular
What is a key disadvantage of Type 4 PV architecture?
Very expensive
What has been implemented to stabilize generation from PVs
Particle Swarm Optimization (PSO)
Class definition of Smart grid
Smart grid is an advanced electrical network that uses digital communication
diagram of a smart grid
micro grids
Smart grid tech
Smart Park
Sandia model
Typical model that is used to predict PV performance
Computational Intelligence
Capable of taking large raw numerical sensory data directly
Types of Computational Intelligence
Artificial immune systems
Evolutionary computation
Fuzzy systems
Neural networks
Swarm intelligence
Hybrid systems
What is RNN
Recurrent Neural Network
Learns system behavior from data
Why is solar irradiance forecasting important
sudden irradiance changes cause fast PV output fluctuations
SAPM
Sandia Array Performance Model
Component-based and requires parameter tuning and physical modeling
Cellular Computational Network (CNN)
a distributed prediction model where each PV plant acts as a cell and shares information with its neighboring cells to improve short-term solar irradiance forecasting.
What makes the smart grid a "system of systems"
integrates computations
August 14
2003 blackout cause
What does DEMS stand for?
Dynamic Energy Management System
What is the goal of the Dynamic Energy Management System?
To have the grid be self-sustainable
What is the difference between D-Dems and I-Dems
D-Dems uses rule-based decisions
I-DEMS uses adaptive critic learning to make optimal real-time decisions.
How does DEMS provide stable/reliable power
Generation and storage must meet the load requirement.
What does DEMS aim to maximize in energy usage?
Renewable usage
How does DEMS aim to increase battery life?
By maximizing cycling times.
What is the potential of Adaptive Critic Designs?
Replicating brain-like intelligence
What are Adaptive Critic Designs created from?
Approximate dynamic programming
What are the two networks in an ACD
Action network and Critic Network
What is role of the Action Network in ACD
Dispenses control signals aka the actor
What is the role of the Critic Network in ACD
Learns the desired performance index
What does the Action and Critic network in ACD approximate?
The Hamilton-Jacobi-Bellman equation for optimization
What does I-DEMS stand for?
Intelligent DEMS
What two methods does I-DEMS combine?
Adaptive dynamic programming and reinforcement learning
What is the benefit of putting I-DEMS in parallel?
Improves convergence speed and near-optimal controls
What does LVQ stand for?
Learning Vector Quantization
What types of learning does Learning Vector Quantization use?
Unsupervised and supervised learning
In Learning Vector Quantization
what is assigned to each neuron in the first layer?
In Learning Vector Quantization
how is each class represented in the second layer?
Equation for LVQ network
W1i(q) = W1i(q-1) + a(p(q) - W1i(q-1))
What is the purpose of the LVQ second layer?
Used to combine subclasses into a single class.
LVQ is used for what in smart grids
Fault Classification and transmission line identification using PMU voltage-change patterns
How does the first layer of LVQ classify inputs
The neuron whose weight is closest to the input vector becomes the winner
In the LVQ second layer
what do the columns of w^2 represent?
In the LVQ second layer
what do the rows of w^2 represent?
What is a characteristic of each column in w^2 of the LVQ second layer?
Each column has a single 1 and all other values in the same column are 0.
Why are multiple neurons assigned to the same class in LVQ
to allow for complex
Wide Area Protection System (WAPS)
An LVQ network used to detect and isolate faults using wide-area voltage phasor data (PMU measurements)
What was the limitation of LVQ in WAPS
Difficultly distinguishing single-phase-to-ground faults -> required additional system features
tie lines definition
transmission lines that connect between areas
equations for a 12 bus system
What does DSOPF stand for?
Dynamic Security Optimal Power Flow.
It is a MIMO nonlinear optimal controller that replaces Automatic Generation and Regional voltage control
DSOPF is considered a MIMO controller because
it simultaneously adjusts multiple generator active power outputs
DSOPF uses what data
PMU and supervisory control and data acquisition (SCADA) wide-area measurement snapshots
Difference between SCADA and PMUs
SCADA samples in seconds and measures power flows & switch status
PMUs provide high-speed synchronized phasor measurements (30-120 samples/sec) for real-time grid monitoring
what does MIMO mean
Multiple input
What optimization does DSOPF provide?
Cost and loss optimization
How does DSOPF handle renewable energy variations?
By optimally rerouting the system's active and reactive power flow
What does DSOPF regulate
Frequency regulation
What are the special features of the smart grid compared to the legacy system
Bidirectional power flow.
Variability because of renewables.
Distributed generation
Why are traditional load flow techniques insufficient for smart grids
They assume centralized generation
different states of the power grid and what E and I are
E = equality Constraints
I = Inequality Constraints
Normal: E = satisfied
Disturbance sequence:
Normal->Alert->In-Extremis
or Normal->Alert->Emergency-> In-Extremis
Control Action Sequence:
Emergency->Alert->Normal
Restorative procedures sequence:
In-Extremis-> Restorative->Normal
or In-Extremis-> Restorative - > Alert