2008
Authors
Pecas Lopes, JA; Matos, MA; Gomes Cabral, PH; Sampaio Ferreira, MP; Fidalgo Martins, NM; Artaiz Wert, CJ; Soto Martos, F; Lopdez Sanz, R; Rosa, M; Ferreira, R; Leite Da Silva, AM; Sales, W; Resende, L; Manso, L;
Publication
42nd International Conference on Large High Voltage Electric Systems 2008, CIGRE 2008
Abstract
Even in a liberalized environment, managing the security of supply associated to the generating system continues to be a major task of the System Operators. The increased use of renewable energy, in particular wind power, adds new challenges to the process, namely in countries like Portugal and Spain, where strong investments in wind power have been done and are foreseen for the next years. In order to tackle this issue, REN (the Portuguese TSO), REE (the Spanish TSO) and INESC Porto (a RandD institute) joined together to develop a project where Monte Carlo simulation is used to evaluate the risk associated with specific future configurations of the generating system, until the horizon of 2025, in the framework of medium and long term generation planning of MIBEL (the Iberian electricity market). Probabilistic simulation was chosen because deterministic approaches to this problem, although simple to understand and easy to implement, are unable to tackle the complex relations between different uncertain variables. In this project, simulation is organized chronologically, in order to preserve the relations between load and the different variables associated to generation and produce meaningful risk indices of generation adequacy. A new feature is the analysis of the operational reserve, through a process that estimates, in each simulated state, the unforeseen change in load and wind generation. These unexpected changes are then compared with the total available operational reserve, defined by the secondary reserve plus the tertiary reserve units with lead time up to one hour. It is important to point out that the proposed simulation is a tool that is able to quantify the adequacy of different reserve requirements, solutions for reserve enhancement, etc. , in order to support the decision making process. This paper describes the concepts and assumptions of the simulation model and presents results and conclusions of some of the case studies carried out in the project.
1999
Authors
Matos, M; Hatziargyriou, N; Pecas Lopes, J;
Publication
IEEE Power Engineering Review
Abstract
This paper provides a description of a new approach for steady-state security evaluation, using fuzzy nearest prototype classifiers. The basic method has an offline training phase, used to design the fast classifiers for online purposes, allowing more than the two traditional security classes. A battery of these fuzzy classifiers, valid for a specific configuration of the network, is adopted to produce a global evaluation for all relevant single contingencies. An important feature of this approach is that it selects automatically the most appropriate number of security clusters for each selected contingency. Natural language labeling is also used to produce standardized sentences about the security level of the system, improving in this way the communication process between the system and the operator. The paper is completed by an example on a realistic model of the Hellenic Interconnected power system, where seven contingencies were simulated.
2002
Authors
Hatziargyriou, N; Contaxis, G; Matos, M; Pecas Lopes, JA; Kariniotakis, G; Mayer, D; Halliday, J; Dutton, G; Dokopoulos, P; Bakirtzis, A; Stefanakis, J; Gigantidou, A; O'Donnell, P; McCoy, D; Fernandes, MJ; Cotrim, JMS; Figueira, AP;
Publication
Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference
Abstract
Penetration of renewable energy sources in isolated and weakly interconnected power systems can be increased in a secure and reliable way, if advanced control tools are available to the operators of these systems. In this paper the functions of MORE CARE are described. This is an advanced control software system aiming to optimize the operation of isolated and weakly interconnected systems by increasing the share of wind energy and other renewable forms, taking into account pumped hydro storage facilities and providing advanced on-line security functions, both in preventive and corrective mode. The main features of the control system comprise advanced software modules for load and wind power forecasting, unit commitment and economic dispatch of the conventional and renewable units and on-line security assessment capabilities integrated in a friendly Man-Machine environment. In this way, penetration of renewable energy sources in isolated systems can be increased in a secure and reliable way. Pilot installations of advanced control functions are foreseen on the islands of Crete, Ireland and Madeira.
2001
Authors
Pecas Lopes, JA; Matos, MA;
Publication
IEEE Power Engineering Review
Abstract
The 2001 PowerTech Conference held in Porto, Portugal from 10 to 13 September, provided an international forum for participants to share knowledge, experiences, and new ideas about the changes in the electronic power sector. The Conference was attended by more than 450 delegates from 50 countries.
1999
Authors
Hatziargyriou, N; Contaxis, G; Papadopoulos, M; Papadias, B; Pecas Lopes, JA; Matos, M; Kariniotakis, G; Nogaret, E; Halliday, J; Dutton, G; Dokopoulos, P; Bakirtzis, A; Androutsos, A; Stefanakis, J; Gigantidou, A;
Publication
Wind Engineering
Abstract
In this paper, CARE an advanced control system for the optimal operation and management of isolated power systems with increased wind power integration, is presented. This control system minimises the production costs through an on-line optimal scheduling of the power units, which takes into account the technical constraints of the thermal units, as well as short-term forecasts of the load and the renewable resources. The power system security is maximised through on-line security assessment modules, which predict the power system capacity to withstand pre-selected disturbances caused by power variations from both the renewable and thermal power sources or from faults.In this paper, CARE an advanced control system for the optimal operation and management of isolated power systems with increased wind power integration, is presented. This control system minimizes the production costs through an on-line optimal scheduling of the power units, which takes into account the technical constraints of the thermal units, as well as short-term forecasts of the load and the renewable resources. The power system security is maximized through on-line security assessment modules, which predict the power system capacity to withstand pre-selected disturbances caused by power variations from both the renewable and thermal power sources or from faults.
2007
Authors
Leite da Silva, AML; Manso, LAF; Sales, WS; Resende, LC; Aguiar, MJQ; Matos, MA; Pecas Lopes, JAP; Miranda, V;
Publication
EUROPEAN TRANSACTIONS ON ELECTRICAL POWER
Abstract
This paper presents an application of Monte Carlo chronological simulation to evaluate the reserve requirements of generating systems, considering renewable energy sources. The idea is to investigate the behavior of reliability indices, including those from the well-being analysis, when the major portion of the energy sources is renewable. Renewable in this work comprises hydroelectric, mini-hydroelectric, and wind power sources. Case studies on a configuration of the Portuguese Generating System are presented and discussed. Copyright (c) 2007 John Wiley & Sons, Ltd.
The access to the final selection minute is only available to applicants.
Please check the confirmation e-mail of your application to obtain the access code.