Energy Distribution
Instance: 2006/2007 - 1S
Cycles of Study/Courses
Teaching language
Portuguese
Objectives
The successful student wiil be:
TOPIC 1 - Electrical consumption
a) be able to identify load models and their characteristics for several uses and types of loads in distribution networks
b) be able to know and follow procedures to build a conssumption information data base
c) be able to know the basis of DSM (demand side management) and telemetering norms and technologies
d) be able to build a long term load forecasting model using regression models for distribution planning
e) be able to build a short term load predictin model with neural networks for operation of distribution systems.
TOPIC 2 - Computing tools used in distribution
a) have knowledge on a diversity of software tools used in planning and operation of distribution systems
b) be familiar with functionalities of some modern software used by the industry
TOPIC 3 - Reliability and quality of service in distribution systems
a) know the main reliability indices and indicators and have the concept of quality of service
b) be able to evaluate the quality of service of a distribution system
c) be able to apply in real cases methods for the definition of the inclusion of switching devices and establishing open loops, in a trade-off between investment and reliability
TOPIC 4 - Voltage/var control in distribuiton networks
a) know the main techniques of voltage/var control in distribution system
b) be able to, in real worl problems, define a policy for sizing and locating capacitor banks in distribution networks.
Program
TOPIC 1a - Electrical consumption
Theory: Models for consumption in distribution. Identificatin and aggregation of typical load curves. Demand Side Management. Telemetering.
Assignment T1a - Identification of the load curve of a service area, given teh commercial characteristics of consumers and a set of measurements. Use of clustering and data analysis techniques (including MATLAB, Excal and SPSS)
TOPIC T1b - Load forecasting
Theory: Forecassting models and application. Medium/long term forecasting using regression. Spatial load forecasting. Short term prediction with neural networks.
Assignment T1b - Produce a forecasting model using regression over a given set of data
Assignment T1c - Prediction next day peak load using neural Networks.
TOPIC 3 - Reliability and quality of service in distribution neetworks
Theory: Revision of basic reliability concepts. Reliability indices and indicators for distribution networks. Energy quality. Adequate selection and location of switching devices in distribution netwroks.
Assignment T3 - for a given distribution system: calculate reliability and quality indices. Sensitivity studies to change of location of devices.
TOPIC 4 - Energy management at distribution level;.
Voltage control, minimization of losses. Locating and sizing of capacitor banks.
Assignment T4 - for a given distribution system: optimizing the location of capacitor banks as weel as their sizing and fixed/switching capacity relation; optimizing voltage profiles.
Teaching methods and learning activities
Classes will be theoretical and practical without formal distinction. Use of projection techniques will be frequent. The assignment works will benefit from the allocation of part of the class time to them.
Software
Fuzzy Logic Toolbox - Release 11
SPSS 9.0
Matlab 6
Neural Network Tlbx
keywords
Technological sciences > Technology > Electrical technology
Evaluation Type
Distributed evaluation with final exam
Assessment Components
Description |
Type |
Time (hours) |
Weight (%) |
End date |
Subject Classes |
Participação presencial |
56,00 |
|
|
|
Total: |
- |
0,00 |
|
Eligibility for exams
classification of 25% minimum in each evaluation component.
Calculation formula of final grade
Final grade will be calculated by adding exam to assignments, in equal proportion (50% each).
The assignment evaluation will follow the formula:
CP = (0,2xT1a)+(0,2xT1b)+(0,2xT1c)+(0,2xT3)+(0,2xT4)
where T1a, T1b, T1c, T2 e T3 are the individual evaluations of the assignments in a scale [0,20]
Examinations or Special Assignments
The assignments must be done and delivered in the same period by all students under any circumstances.
A special exam may be arranged.
Special assessment (TE, DA, ...)
The assignments must be done and delivered in the same period by all students under any circumstances.
A special exam may be arranged.
Classification improvement
The assignments must be done and delivered in the same period by all students under any circumstances.
A special exam may be arranged.