Energy Distribution

Code:

EEC5127

Acronym:

DE2

Instance: 2006/2007 - 1S

Active?	Yes
Responsible unit:	Power Systems
Institution Responsible:	Faculty of Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
LEEC	18	Plano de estudos de transição para 2006/07	5	6	6	-
		Plano de Estudo LEEC Oficial 2000	5	6	6	-

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.