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Abstract
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Electricity consumption increases continuously because of several reasons such as population growth.
Due to consumption growth of electricity it is necessary to upgrade generation, transmission and distribution
equipments. In distribution level, transformers of sub-transmission substations should be upgraded
to overcome load growth. In this paper, it is recommended to use wind generators and storage devices
instead of transformer upgrading of substations. This is significant because of environment pollution
and investment deferral of sub-transmission substations. Hence, this paper suggests a new method to determine
the optimal capacity of wind generators and energy storage system (ESS) for investment deferral
of sub-transmission substations. In this method reliability and economic aspects are considered along
with time varying loads. Furthermore, to peruse the uncertainty of wind generation an innovative point
estimate method (PEM) has been fulfilled. The main goal of the presented method is to minimize the
investment cost of the ESS units and wind generators, purchased power from upstream network and also
reliability maximization. The objective function is mathematically formulated as a mixed-integer nonlinear
programming problem and subsequently solved by genetic algorithm (GA). The proposed method
is successfully applied to a study case and obtained results show the efficiency and applicability of the
proposed approach.
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