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    A heuristic trade off model for integration of distributed generations in deregulated power systems considering technical, economical and environmental issues

    , Article 2008 IEEE 2nd International Power and Energy Conference, PECon 2008, Johor Baharu, 1 December 2008 through 3 December 2008 ; 2008 , Pages 1275-1279 ; 9781424424054 (ISBN) Hekmati, A ; Nasiri, R ; Bagheri, M ; Tehrani, A. A ; Sharif University of Technology
    2008
    Abstract
    With the introduction of restructuring concepts to traditional power systems, a great deal of attention is given to the utilization of distributed generation. Since the integration of DG units has been known as an alternative for main grid as a resource for energy supply, the determination of optimal sizing and sitting is an important issue in the planning procedure of DG. This work presents a comprehensive multi-objective model for integration of distributed generations into a distribution network, regarding various technical, economical and environmental issues such as reduction of carbon dioxide emissions and investment & running costs while the bus voltages shall be kept within... 

    Multi objective distributed generation planning using NSGA-II

    , Article 2008 13th International Power Electronics and Motion Control Conference, EPE-PEMC 2008, Poznan, 1 September 2008 through 3 September 2008 ; 2008 , Pages 1847-1851 ; 9781424417421 (ISBN) Ahmadi, M ; Yousefi, A ; Soroudi, A ; Ehsan, M ; Sharif University of Technology
    2008
    Abstract
    With the increasing share of distributed generation in electrical energy supply, the proper planning procedure for using these units, has become more vital for power system planners. In this paper, the application of multi-objective optimization techniques for siting, sizing and determination of the proper technology to be used, has been investigated in such a way that, the load demand during the planning horizon is met and the technical and environmental constraints are satisfied. Unlike the traditional optimization methods used in power system optimization, NSGA-II multi-objective optimization algorithm does not consider techno-economical and environmental parameters in the constraints of...