Multiple distributed generation units allocation in distribution network for loss reduction based on a combination of analytical and genetic algorithm methods

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Vatani, Mohammadreza
Alkaran, Davood Solati
Sanjari, Mohammad Javad
Gharehpetian, Gevork B
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2016
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Abstract

Many methods have been proposed to determine the optimal location and capacities of distributed generation (DG) units to reach the lowest value for system losses. In this study, the combination of analytical and genetic algorithm methods is used for optimal allocation of multiple DGs in a distribution network to minimise the system losses. This combination guarantees the convergence accuracy and speed in multiple DG units allocation. In this study, the DGs active power, power factor, and location are simultaneously considered during distribution network losses minimisation. The utility will dictate only the maximum DG power generation if the DG is installed by DG owner. However, both of the size and the location of DG will be determined by the utility if the DG is installed by it. The proposed method is applied to 33-bus and 69-bus test distribution systems. Simulation results show that the proposed method results in lower losses compared with the other methods.

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IET Generation, Transmission & Distribution

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10

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1

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Electrical engineering

Electronics, sensors and digital hardware

Science & Technology

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Engineering, Electrical & Electronic

Engineering

distributed power generation

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Vatani, M; Alkaran, DS; Sanjari, MJ; Gharehpetian, GB, Multiple distributed generation units allocation in distribution network for loss reduction based on a combination of analytical and genetic algorithm methods, IET Generation, Transmission & Distribution, 2016, 10 (1), pp. 66-72

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