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Details

  • Name

    Paulo Moisés
  • Cluster

    Power and Energy
  • Role

    External Research Collaborator
  • Since

    01st October 2009
Publications

2018

Solving security constrained optimal power flow problems: a hybrid evolutionary approach

Authors
Marcelino, CG; Almeida, PEM; Wanner, EF; Baumann, M; Weil, M; Carvalho, LM; Miranda, V;

Publication
APPLIED INTELLIGENCE

Abstract
A hybrid population-based metaheuristic, Hybrid Canonical Differential Evolutionary Particle Swarm Optimization (hC-DEEPSO), is applied to solve Security Constrained Optimal Power Flow (SCOPF) problems. Despite the inherent difficulties of tackling these real-world problems, they must be solved several times a day taking into account operation and security conditions. A combination of the C-DEEPSO metaheuristic coupled with a multipoint search operator is proposed to better exploit the search space in the vicinity of the best solution found so far by the current population in the first stages of the search process. A simple diversity mechanism is also applied to avoid premature convergence and to escape from local optima. A experimental design is devised to fine-tune the parameters of the proposed algorithm for each instance of the SCOPF problem. The effectiveness of the proposed hC-DEEPSO is tested on the IEEE 57-bus, IEEE 118-bus and IEEE 300-bus standard systems. The numerical results obtained by hC-DEEPSO are compared with other evolutionary methods reported in the literature to prove the potential and capability of the proposed hC-DEEPSO for solving the SCOPF at acceptable economical and technical levels.

2017

DC constrained fuzzy power flow for transmission expansion planning studies

Authors
Gouveia, EM; Costa, PM; Soroudi, A; Keane, A;

Publication
International Transactions on Electrical Energy Systems

Abstract
In restructured power systems, the adequacy of the transmission network may be defined as the ability to meet reasonable demands by transmission of electricity (as stated by the Directive 2009/72/EC). The symmetric/constrained fuzzy power flow (CFPF) was recently proposed as a suitable tool to quantify that adequacy. In this paper, the use of the symmetric fuzzy power flow/CFPF is extended to support the decision process of investment in network components to accomplish a specific adequacy criteria. A technique based on dual variables, obtained from the linear formulation of the CFPF, is used. The importance of the duality information concerning the adequacy indices is explained. The proposed methodology is applied on IEEE 14 bus reliability test system to demonstrate its applicability. Copyright © 2017 John Wiley & Sons, Ltd.

2017

Operational issues in symmetric fuzzy power flow

Authors
Gouveia, EM; Costa, PM; Soroudi, A;

Publication
International Review on Modelling and Simulations

Abstract
The symmetric/constrained fuzzy power flow (SFPF/CFPF) models are suitable to quantify the adequacy of transmission network in satisfying “reasonable demands for the transmission of electricity” as defined, in the European Directive 2009/72/EC. In this paper, SFPF/CFPF is mainly used to identify the basic repressions (inappropriate definition of reasonable demands) of fuzzy data (generation or load) when the adequacy of a transmission system is assessed. This situation arises essentially in cases where the network configuration does not fully support the requested power specifications. It means that these requests are inadequately formulated and lead to the creation of artificial repression in the results (artificial inadequacy of the transmission system). In this article, it is intended to show how these cases can be identified. For this purpose, the SFPF will be used, which does not consider branch limits. With this study, it is also shown how the reference power flows of the system are obtained in order to identify the congested branches.

2017

The Impact of Regulation on a Firm's Incentives to Invest in Emergent Smart Grid Technologies

Authors
Costa, PM; Bento, N; Marques, V;

Publication
ENERGY JOURNAL

Abstract
This paper analyzes the implementation of new technologies in network industries through the development of a suitable regulatory scheme. The analysis focuses on Smart Grid (SG) technologies which, among others benefits, could save operational costs and reduce the need for further conventional investments in the grid. In spite of the benefits that may result from their implementation, the adoption of SGs by network operators can be hampered by the uncertainties surrounding actual performances. A decision model has been developed to assess the firms' incentives to invest in "smart" technologies under different regulatory schemes. The model also enables testing the impact of uncertainties on the reduction of operational costs, and of conventional investments. Under certain circumstances, it may be justified to support the development and early deployment of emerging innovations that have a high potential to ameliorate the efficiency of the electricity system, but whose adoption faces many uncertainties.

2016

Constrained fuzzy power flow models with correlation between nodal injections

Authors
Gouveia, EM; Costa, PM;

Publication
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS

Abstract
This paper extends the symmetric/constrained fuzzy power flow models by including the potential correlations between nodal injections. Therefore, the extension of the model allows the specification of fuzzy generation and load values and of potential correlations between nodal injections. The enhanced version of the symmetric/constrained fuzzy power flow model is applied to the 30-bus IEEE test system. The results prove the importance of the inclusion of data correlations in the analysis of transmission system adequacy. Copyright (c) 2015 John Wiley & Sons, Ltd.