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A platform for research: civil engineering, architecture and urbanism
Strategic Deployment of Distributed Generators Considering Feeders’ Failure Rate and Customers’ Load Type
This paper presents an optimal planning schemetoward the design of distributed generation (DG) integrateddistribution network. The Greedy Search based approach aims todetermine the optimal size and location of DG units in order toachieve designated cost curtailment. The cost curtailmentincludes considerations for investment and maintenance cost ofthe DGs, active power loss cost and reliability level cost of thedistribution network. The deployment strategy consists of addingsuitable size of DGs at appropriate site while considering feeders’failure rate and customer load type. Economic factors specificallyinflation rate and interest rate are taken into account for presentworth evaluation. Also, yearly load growth and hourly and dailyvariations of the load are considered while planning.Additionally, power losses, risk level and voltage profile are alsocomputed to attest the efficacy of the proposed approach.Furthermore, computations are done to calculate amounts of thedetriment due to unreal modeling of the feeders’ failure rate andcustomers’ load type. It is proved that the unreal modeling cannotably impact the results of the problem as well as the optimallocations of the DGs.
Strategic Deployment of Distributed Generators Considering Feeders’ Failure Rate and Customers’ Load Type
This paper presents an optimal planning schemetoward the design of distributed generation (DG) integrateddistribution network. The Greedy Search based approach aims todetermine the optimal size and location of DG units in order toachieve designated cost curtailment. The cost curtailmentincludes considerations for investment and maintenance cost ofthe DGs, active power loss cost and reliability level cost of thedistribution network. The deployment strategy consists of addingsuitable size of DGs at appropriate site while considering feeders’failure rate and customer load type. Economic factors specificallyinflation rate and interest rate are taken into account for presentworth evaluation. Also, yearly load growth and hourly and dailyvariations of the load are considered while planning.Additionally, power losses, risk level and voltage profile are alsocomputed to attest the efficacy of the proposed approach.Furthermore, computations are done to calculate amounts of thedetriment due to unreal modeling of the feeders’ failure rate andcustomers’ load type. It is proved that the unreal modeling cannotably impact the results of the problem as well as the optimallocations of the DGs.
Strategic Deployment of Distributed Generators Considering Feeders’ Failure Rate and Customers’ Load Type
Tiwari, Surabhi (author) / Jain, Naveen (author)
2019-04-12
Asian Journal For Convergence In Technology (AJCT); VOL V Issue I ; 2350-1146
Article (Journal)
Electronic Resource
English
DDC:
690
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