Hybrid Renewable Energy System Utilizing Hybrid Particle Swarm Optimization and Cuckoo Search
سه سال پیش منتشر شده
تعداد بازدید: 478
کد پروژه: 244992
شرح پروژه
The main objective:
To develop a software that optimize the Hybrid Renewable Energy Systems that will reduce the Levelized Cost of Energy to 0.15$/kwhr or less using Hybrid PSO and Cuckoo Search Algorithm.
Specific objective:
(1) to develop a system design that will reduce the Total Present Cost (TPC)
(2) to evaluate the output of Optimization Method of Hybrid Renewable Energy Resources Utilizing Hybrid Particle Swarm Optimization and Cuckoo Search Algorithm.
Actually it is hybrid - solar, wind turbine, battery and diesel gen
the related paper as as:
R. C. C. Castro, "Hybrid Particle Swarm Optimization and Gravitational Search Algorithm for Optimal Sizing of Hybrid Renewable Energy Systems," 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2019, pp. 1-6, doi: 10.1109/APPEEC45492.2019.8994699.
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مهارت ها و تخصص های مورد نیاز
بودجه
300,000 تومان تا 750,000 تومان
مهلت برای انجام
7روز
وضعیت مناقصه
انجام شده
درباره کارفرما
عضویت پنج سال پیش
