2003
Autores
de Leao, MTP; Saraiva, JT;
Publicação
IEEE TRANSACTIONS ON POWER SYSTEMS
Abstract
In this paper, we describe an integrated methodology to compute long-term marginal prices in distribution networks. Long-term marginal prices are considered the most interesting and economically sound way of allocating network costs to users. Additionally, they inherently deal with the revenue reconciliation problem, as they generally do not require other large supplementary tariff terms. The proposed methodology uses fuzzy sets to model uncertainties in load forecasts and considers several criteria to guide the identification of solutions. At the end, there is a final decision-making step to select the most adequate expansion plan according to the preferences of the decision maker.
2003
Autores
Braga, AS; Saraiva, JT;
Publicação
2003 IEEE Bologna PowerTech - Conference Proceedings
Abstract
This paper addresses the problem of transmission expansion-planning in the context of the re-regulation and liberalization of power systems. The transmission expansion-planning problem is formulated as an integer problem and it is solved keeping that characteristic using Simulated Annealing. In the scope of the access to the transmission networks and the corresponding payments for Use of Networks, the paper discusses the advantages and drawbacks from adopting several cost methods and, more specifically, short-term and long-term nodal marginal prices. Long-term marginal prices are computed in the framework of the Simulated Annealing algorithm and led to the calculation of the Marginal Based Remuneration to the transmission company. The paper includes case studies based on the Portuguese 400/220/150 kV network and on a didactic 6-bus system. © 2003 IEEE.
2003
Autores
Figueiredo, L; Machado, JAT; Ferreira, JR;
Publicação
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Abstract
This paper presents the Simulator of Intelligent Transportation Systems (SITS). The SITS is based on a microscopic simulation approach to reproduce real traffic conditions in an urban or non-urban network and considers different types of vehicles, drivers and roads. A dynamical analysis of several traffic phenomena is then addressed. The results of using classical system theory tools point out that it is possible to study traffic systems, taking advantage on the knowledge gathered with automatic control algorithms. In this line of thought, it was also presented a new modelling formalism based on the embedding of statistics and Fourier transform. © 2003 IEEE.
2003
Autores
Figueiredo, L; Machado, JAT; Ferreira, JR;
Publicação
2003 IEEE INTELLIGENT TRANSPORTATION SYSTEMS PROCEEDINGS, VOLS. 1 & 2
Abstract
This paper presents the Simulator of Intelligent Transportation Systems (SITS). The SITS is based on 2 microscopic simulation approach to reproduce real traffic conditions in an urban or non-urban network and considers, different types of vehicles, drivers and roads. A dynamical analysis of several traffic phenomena is then addressed.-The results of using classical system theory tools point out that it is possible to study traffic systems, taking advantage on the knowledge gathered with automatic control algorithms. In, this line of thought, it was also presented a new modelling formalism based on the embedding of statistics and Fourier transform.
2003
Autores
Figueiredo, L; Machado, JAT; Ferreira, JR;
Publicação
2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS
Abstract
This paper discusses the problem of modelling and simulation of traffic systems, and presents the traffic simulator SITS (Simulator of Intelligent Transportation Systems). The SITS is based on a microscopic simulation approach considering different types of vehicles, drivers and roads. A dynamical analysis of several traffic phenomena is then addressed.
2003
Autores
Resende, FO; Lopes, JAP; Teiga, FJ;
Publicação
Informacion Tecnologica
Abstract
The aim of this work was the development of a new approach to find an optimal solution for the internal electrical network configuration of a wind park. The new approach, described in this paper, allows solving the electrical design problem of a wind park, trying to find simultaneously the best topology for the network and for the cable speciifciations. The problem is considered as a global optimization problem (minimisation of the investments and operation costs), in which reliability is also taken into account. For that purpose, an evolutionary approach based on nitching type methods was used to develop a design tool able to find a reduced set of good solutions to be presented to the design engineers for further decision. This approach was tested with success in the project of a real wind park and the results proved to be satisfactory.
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