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Optimal siting and sizing of distributed generations in radial and networked systems considering different voltage dependent static load models

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2 Author(s)
Singh, R.K. ; Dept. of Electr. Eng., Jadavpur Univ., Kolkata ; Goswami, S.K.

This paper presents a methodology using genetic algorithm for optimally allocating distributed generations (DGs) in radial as well as networked distribution systems so as to minimize the average of locational charges for unit active power at buses. The loads of the system are uncontrolled and depend on voltage and frequency of the system. Therefore, analysis assuming constant loads will give misleading and inaccurate results. The frequency is a pan system phenomenon that cannot be controlled locally or affected by the presence of DG. Therefore, this paper only addresses the voltage sensitiveness of the loads by incorporating voltage dependent load models in the analysis. The proposed method is tested on the standard test systems and results of simulation are presented in tabular and graphical form.

Published in:
Power and Energy Conference, 2008. PECon 2008. IEEE 2nd International

Date of Conference: 1-3 Dec. 2008

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