Optimization of Generation Cost, Environmental Impact, and Reliability of a Microgrid Using Non-dominated Sorting Genetic Algorithm-II
نویسندگان
چکیده
منابع مشابه
Multi-objective optimization of discrete time–cost tradeoff problem in project networks using non-dominated sorting genetic algorithm
The time–cost tradeoff problem is one of the most important and applicable problems in project scheduling area. There are many factors that force the mangers to crash the time. This factor could be early utilization, early commissioning and operation, improving the project cash flow, avoiding unfavorable weather conditions, compensating the delays, and so on. Since there is a need to allocate e...
متن کاملOptimal Distribution System Reconfiguration Using Non-dominated Sorting Genetic Algorithm (NSGA-II)
In this paper, a Non-dominated Sorting Genetic Algorithm-II (NSGA-II) based approach is presented for distribution system reconfiguration. In contrast to the conventional GA based methods, the proposed approach does not require weighting factors for conversion of multi-objective function into an equivalent single objective function. In order to illustrate the performance of the proposed method,...
متن کاملNon-dominated Sorting Genetic Algorithm-ii Based Route Optimization
NSGA methodology discussed in Section 3.1 suffers from three weaknesses: computational complexity, non-elitist approach and the need to specify a sharing parameter. An improved version of NSGA known as NSGA-II, which resolved the above problems and uses elitism to create a diverse Pareto-optimal front, has been subsequently presented (Deb et al 2002). The main features of NSGA-II are low comput...
متن کاملOptimal Placement of Phasor Measurement Units to Maintain CompleteObservability Considering Maximum Reliability by Non-dominated Sorting Genetic Algorithm-II (NSGA-II)
Ever-increasing energy demand has led to geographic expansion of transmission lines and their complexity. In addition, higher reliability is expected in the transmission systemsdue to their vital role in power systems. It is very difficult to realize this goal by conventional monitoring and control methods. Thus, phasor measurement units (PMUs) are used to measure system parameters. Although in...
متن کاملoptimal distribution system reconfiguration using non-dominated sorting genetic algorithm (nsga-ii)
in this paper, a non-dominated sorting genetic algorithm-ii (nsga-ii) based approach is presented for distribution system reconfiguration. in contrast to the conventional ga based methods, the proposed approach does not require weighting factors for conversion of multi-objective function into an equivalent single objective function. in order to illustrate the performance of the proposed method,...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Sustainable Development and Planning
سال: 2020
ISSN: 1743-7601,1743-761X
DOI: 10.18280/ijsdp.150814