Strategic Deployment of Distributed Generators Considering Feeders’ Failure Rate and Customers’ Load Type
This paper presents an optimal planning scheme
toward the design of distributed generation (DG) integrated
distribution network. The Greedy Search based approach aims to
determine the optimal size and location of DG units in order to
achieve designated cost curtailment. The cost curtailment
includes considerations for investment and maintenance cost of
the DGs, active power loss cost and reliability level cost of the
distribution network. The deployment strategy consists of adding
suitable size of DGs at appropriate site while considering feeders’
failure rate and customer load type. Economic factors specifically
inflation rate and interest rate are taken into account for present
worth evaluation. Also, yearly load growth and hourly and daily
variations of the load are considered while planning.
Additionally, power losses, risk level and voltage profile are also
computed to attest the efficacy of the proposed approach.
Furthermore, computations are done to calculate amounts of the
detriment due to unreal modeling of the feeders’ failure rate and
customers’ load type. It is proved that the unreal modeling can
notably impact the results of the problem as well as the optimal
locations of the DGs.
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