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Impact of the penetration of distributed generation on optimal reactive power dispatch

Protection and Control of Modern Power Systems 2020年第1期5卷 352-377页

作者： Tanmay Das ranjit roy Kamal Krishna Mandal Department of Power Engineering Jadavpur UniversityKolkataIndia Department of Electrical Engineering Chaibasa Engineering CollegeChaibasaJharkhandIndia

Optimal reactive power dispatch(ORPD)is a complex and non-linear problem,and is one of the sub-problems of optimal power flow(OPF)in a power *** is formulated as a single-objective problem to minimize the active power loss in a transmission *** this work,power from distributed generation(DG)is integrated into a conventional power system and the ORPD problem is solved to minimize transmission line power *** proves that the application of DG not only contributes to power loss minimization and improvement of system stability but also reduces energy consumption from the conventional sources.A recently proposed meta-heuristic algorithm known as the JAYA algorithm is applied to the standard IEEE 14,30,57 and 118 bus systems to solve the newly developed ORPD problem with the incorporation of *** simulation results prove the superiority of the JAYA algorithm over *** respective optimal values of DG power that should be injected into the four IEEE test systems to obtain the minimum transmission line power losses are also provided.

关键词： Active power loss Distributed generation DG penetration JAYA algorithm Optimization problem ORPD Particle swarm optimization Variants of PSO Transmission line losses

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Assessment of SNP and InDel Variations Among Rice Lines of Tulaipanji x ranjit

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Rice science 2017年第6期24卷 336-348页

作者： Subhas Chandra roy Vijaya Bhasker REDDY LACHAGARI Plant Genetics & Molecular Breeding Laboratory Department of Botany University of North Bengal Siliguri 734013 India AgriGenome Labs Private Limited Hyderabad 500078 India

Genotyping by sequencing(GBS) is the recent approach of next-generation sequencing technique for discovering and genotyping single nucleotide polymorphisms(SNPs) in crop species. Genotypic variation studies(SNPs and insertion-deletions/In Dels) were performed using four rice lines based on GBS data by aligning to the reference genome Nipponbare. Local aromatic rice landrace Tulaipanji was crossed with ranjit, and two distinct lines were identified from the progenies: one line with awns and aroma traits and the other without awns and aroma. Total number of SNPs and In Dels identified were 52 810 and 4 327 at read depth 10, respectively. Out of the total polymorphic SNPs/In Dels, 16 490 were intergeneric, 7 812 were inside gene, and 4 435 were intronic. Phylogenetically, Tulaipanji was closer to the reference genome nipponbare. Based on recurrent parent genome analysis, out of 10 013 alleles, 92.52% was introgressed into progeny-awn from Tulaipanji and 7.48% from ranjit, whereas progeny-awnless carried 89.19% alleles from ranjit and only 10.81% alleles from Tulaipanji. In addition, progeny-awn was the highest heterozygous(83.88%) and progeny-awnless was the least(2.24%) at this fifth generation of recombinant inbred lines. These SNP variations may be linked to the phenotypic traits and can be utilized in crop improvement through linkage mapping. These results suggest that adding a high density of SNP markers to a mapping or breeding population through GBS has a great value for numerous applications in rice breeding and genetics research.

关键词： rice genotyping by sequencing insertion-deletion genomic introgression single nucleotide polymorphism awn aroma heterozygous

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