Control Strategy for Power Loss Reduction considering Load Variation with Large Penetration of Distributed Generation
نویسندگان
چکیده
منابع مشابه
Analysis and Comparison of Load Flow Methods for Distribution Networks Considering Distributed Generation
Conventional passive distribution networks are changing to modern active distribution networks which are not radial. Conventional load flow methods should be modified for new distribution networks analysis. In modern distribution networks distributed generation (DG) units are embedded with conventional and/or renewable resources. DG units are generally modeled as PV or PQ nodes which inject ...
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This paper aims to design an optimal distributed multi-agent controller for load frequency control and optimal power flow purposes. The controller parameters are optimized using Grey Wolf Optimization (GWO) algorithm. The designed optimal distributed controller is employed for load frequency control in the IEEE 30-bus test system with six generators. The controller of each generator is consider...
متن کاملanalysis and comparison of load flow methods for distribution networks considering distributed generation
conventional passive distribution networks are changing to modern active distribution networks which are not radial. conventional load flow methods should be modified for new distribution networks analysis. in modern distribution networks distributed generation (dg) units are embedded with conventional and/or renewable resources. dg units are generally modeled as pv or pq nodes which inject ...
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Recent increment in carbon emission due to the dependency on fossil fuels in power generation sector is a critical issue in the last decade. The motivation to Distributed Generation (DG) in order to catch low carbon networks is rising. This research seeks to experience DG existence in local energy servicing in microgrid structure. Optimal sizing and placement of DG units is followed by this pap...
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ژورنال
عنوان ژورنال: Advances in Electrical Engineering
سال: 2017
ISSN: 2356-6655,2314-7636
DOI: 10.1155/2017/5764054