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220  Decision Making Applications in Modern Power Systems


               As presented by the results, the proposed methodology can provide multi-
            ple benefits to the grid even with events in the same day period. Between the
            implemented features, the controlled charging process of flexible loads
            ensured the grid operation within satisfactory limits. Further, the coordina-
            tion of local generation and flexible resources with local controls provided
            the distribution system islanding capacity, avoiding outages due to failures in
            the bulk system. As well, the use of flexible resources for grid assistance
            applications fulfilled upcoming necessities for peak shaving and mitigation
            of transmission lines congestion.
               Taking advantage of these features gives a significant improvement of
            the distribution system service capacity, great deferral of investments,
            enhancement of quality indexes, and better social welfare. Finally, it is possi-
            ble to conclude that this chapter provided a coordinated operation of DGs,
            renewables, and flexible resources, allowing the distribution system islanded
            operation and the application of flexible resources to the grid assistance.
            This provides a better overall planning of the distribution system due to the
            smart coordination and multiple applications of the available resources.



            Acknowledgments
            This work was partially supported by CAPES, CNPq, FAPEMIG, and INERGE. The
            author Yuri R. Rodrigues especially thanks CAPES Notice No. 18/2016 of the Full
            Doctoral Program Abroad/Process No. 88881.128399/2016-01.

            References
            [1] A. Keane, L.F. Ochoa, C.L.T. Borges, G.W. Ault, A.D. Alarcon-Rodriguez, R.A.F. Currie,
                et al., State-of-the-art techniques and challenges ahead for distributed generation planning
                and optimization, IEEE Trans. Power Syst. 28 (2013) 1493 1502.
            [2] P.S. Georgilakis, N.D. Hatziargyriou, Optimal distributed generation placement in power
                distribution networks: models, methods, and future research, IEEE Trans. Power Syst. 28
                (2013) 3420 3428.
            [3] G. Celli, E. Ghiani, S. Mocci, F. Pilo, A multiobjective evolutionary algorithm for the
                sizing and siting of distributed generation, IEEE Trans. Power Syst. 20 (2005) 750 757.
            [4] P.H. Nguyen, W.L. Kling, I.G. Kamphuis, P.F. Ribeiro, Integration of agent-based func-
                tions to facilitate operation of Smart Distribution Networks, Innovative Smart Grid
                Technologies (ISGT Europe) (2011) 1 5.
            [5] J.M. Guerrero, J.C. Vasquez, J. Matas, L.G. de Vicuna, M. Castilla, Hierarchical control of
                droop-controlled AC and DC microgrids—a general approach toward standardization, IEEE
                Trans. Ind. Electron. 58 (2011) 158 172.
            [6] B.N. Eghtedarpour, E. Farjah, Power control and management in a hybrid AC/DC micro-
                grid, IEEE Trans. Smart Grid 28 (2014) 1494 1505.
            [7] A.B. Almeida, E.V. De Lorenci, R.C. Leme, A.C. Zambroni De Souza, B.I.L. Lopes, K.
                Lo, Probabilistic voltage stability assessment considering renewable sources with the help
                of the PV and QV curves, IET Renew. Power Gener. 7 (2013) 521 530.
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