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Systems with Renewables

Code: PDEEC0012     Acronym: SR

Classification Keyword
OFICIAL Electrical and Computer Engineering

Instance: 2019/2020 - 2S

Active? Yes
Responsible unit: Department of Electrical and Computer Engineering
Course/CS Responsible: Doctoral Program in Electrical and Computer Engineering

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
PDEEC 3 Syllabus since 2015/16 1 - 7,5 70 202,5

Teaching Staff - Responsibilities

Teacher Responsibility
João Abel Peças Lopes

Teaching - Hours

Recitations: 3,00
Type Teacher Classes Hour
Recitations Totals 1 3,00
Carlos Coelho Leal Monteiro Moreira 1,50
João Abel Peças Lopes 1,50

Teaching language



Be familiar with different energy conversion systems that exploit renewable power sources (hydro, PV, wind, wave energies). Be familiar with the control techniques used namely in PV and wind generation. Obtain a deep view of the existing control techniques used in wind energy conversion systems. Be capable of identifying the main problems for operation and expansion of electric power systems resulting from a large scale integration of renewable power sources.
Be familiar with the different storage technologies e understand approaches for combined operation of storage systems with renewable power generations units.
Become familiar with the technical requests imposed to generation units when connected to electrical girds - Grid Codes.
Be familiar with technologies for DC transmission systems connected with off-shore wind farms, including their forms of control and operation.

Learning outcomes and competences

Be familiar with the main energy conversion systems, capable to transform primary renewable energy into electric energy. 

Be capable to understand the main problems for the operation of the electric power system resulting from a large scale integration of variable renewable power sources using electronic grid interfaced generation units.

Make acquaintance with the computational simulation tools that allow to evaluate impacts resulting from the presence of these new generation facilites on the system, including all the problems related with the shift of paradigm towards distributed generation.

Working method


Pre-requirements (prior knowledge) and co-requirements (common knowledge)

To have basic knowledge regarding steady state operation and dynamic behaviour of electric power systems.


Detailed modeling of different types of renewable energy conversion systems. Brief description of wind energy conversion technologies: Asynchronous generators, double fed induction machines, variable speed electronically interfaced units. Impacts of renewable energy conversion systems on power quality (Voltage deeps, Harmonic, Flicker); Definition wind power integration limits in order to keep power quality levels. Impacts of wind power on grid voltage stability and system dynamic behaviour; Ride through faults requirements (the grid perspective and manufacturers solutions); New control solutions to improve system behaviour in scenarios with large scale integration of wind generation (use of external solutions - FACTS, participation of wind generators in voltage and frequency control). Use of wind generators to damp system electromechanical oscillations. Overview of PV systems, describing the current developments. Photovoltaic electric principles, describing the fundamentals of photovoltaic physics, equivalents electric circuit of PV cell, determination of operation point of PV cell and panel. Influence of electrical characteristics, radiance and temperature in the cell performance. Sizing PV systems, including solar resource evaluation, optimal sizing of PV system components (PV generators, inverters, batteries, system wiring, protections and metering systems). Connecting PV systems to the electric grid. Wide scale planning of PV systems integration, definition of incentives and feed in tariffs. Grid code requirements and new hierarchical managing control structures. Presentation of different energy storage technologies. Combined wind generation / storage operation (optimizing wind – hydro pumping operation).
Identification of technical requests and ancillary services to be provided to the networks from electrical conversion units, considering different operation regimes: voltage and reactive power control, fault ride through, response to frequency variations.
Technologies of conversion for DC power systems: LCC and VSC converters. Systems for point to point connection e multiport. Voltage and active power control. Participation in ancillary services.

Mandatory literature

edited by Tom Markvart and Luis Castaner.; Practical handbook of photovoltaics :. ISBN: 1856173909
J. F. Manwell, J. G. McGowan and A. L. Rogers; Wind energy explained. ISBN: 0-471-49972-2

Teaching methods and learning activities

Classes will include lectures, labs (exploiting simulation software) and oral presentations from students reporting conclusions from their oriented study and research in specific domains.

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation Weight (%)
Exame 50,00
Trabalho escrito 50,00
Total: 100,00

Amount of time allocated to each course unit

Designation Time (hours)
Estudo autónomo 105,00
Frequência das aulas 42,00
Trabalho de investigação 53,00
Total: 200,00

Eligibility for exams

Development and presentation of the proposed assignments and obtain a minimum grade of 40 %. 

Calculation formula of final grade

The components for student evaluation are: the Assignments and the final Exam. Each component will receive a grading in percentage. The final score will be calculated according to the following rule: 0,5 * Exam + 0,5 Assignments

It is necessary to achieve a minimum grade of 40 % in each component of the evaluation. 

Examinations or Special Assignments

At least two assignments will be asked: one related with distributed generation integration in eletric power systems and other involving a short paper on important issues related with the development of the electrical grids of the future namely when dealing with the integration of renewable energy sources.

Classification improvement

General rules of FEUP will be followed.

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