MV Substations Optimal Robust Allocation Under Uncertainty
سال انتشار: 1391
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 336
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شناسه ملی سند علمی:
ICOPTICP19_248
تاریخ نمایه سازی: 26 مرداد 1397
چکیده مقاله:
Uncertainty of the forecasted load is a key issue in the distribution network planning problem that can change the planning output pattern. This paper presents probabilistic MV (Medium Voltage) distribution substation placement problem under load uncertainty. Imperialist Competitive Algorithm (ICA) is adapted for the optimal planning procedure to optimal siting and sizing of MV substations. Monte Carlo Simulation is applied to simulate the load forecast uncertainty. The results are illustrated and compared with deterministic substation placement outputs. Base on the results by considering of the load uncertainty it is possible to design the distribution network configuration more flexible, robust and realistic with respect to deterministic approaches. The results are also indicated the efficiency and capability of the proposed method that has been tested on a real size distribution network.
کلیدواژه ها:
Probabilistic Distribution System Planning (PDSP) ، MV Substation ، Monte Carlo Simulation ، Imperialist Competitive Algorithm (ICA) ، Uncertainty
نویسندگان
Mohamad Reza Jannati Oskouei
Smart Distribution Grid Research Lab, E. E. Department ۱,۴Smart Distribution Grid Research Lab, E. E. Department Tabriz, Iran
Babak Adham
East Azarbaijan Electric Power Distribution Company Tabriz, Iran
Karim Roshan Milani
East Azarbaijan Electric Power Distribution Company Tabriz, Iran
Sajad Najafi Ravadanegh
Smart Distribution Grid Research Lab, E. E. Department ۱,۴Smart Distribution Grid Research Lab, E. E. Department Tabriz, Iran