Scalable/Secure Cooperative Algorithms and Framework for Extremely-high Penetration Solar Integration (SolarExPert)

Smartphone-based messaging applications have shown phenomenal growth with the proliferation of the internet coupled with the high penetration of smartphones into masses. The current study is an attempt to understand the relationship between the individuals personality and their use of WhatsApp, a popular smartphone-based messaging application in Indian context. For personality assessment the study takes Big Five Inventory. A questionnaire consisting items on individual WhatsApp use and Big Five Inventory was administered to students in an Indian University. Multiple regression and logistic regression revealed significant relationships between personality and WhatsApp usage and use of its different inbuilt functions.

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A Game-Theoretic Loss Allocation Approach in Power Distribution Systems with High Penetration of Distributed Generations

Mathematics ◽

10.3390/math6090158 ◽

2018 ◽

Vol 6 (9) ◽

pp. 158

Author(s):

Farzaneh Pourahmadi ◽

Payman Dehghanian

Keyword(s):

Power Systems ◽

Power Distribution ◽

Distribution System ◽

Distribution Systems ◽

Power Distribution Systems ◽

Loss Allocation ◽

Distributed Generators ◽

High Penetration ◽

Game Theoretic ◽

Allocation Approach

Allocation of the power losses to distributed generators and consumers has been a challenging concern for decades in restructured power systems. This paper proposes a promising approach for loss allocation in power distribution systems based on a cooperative concept of game-theory, named Shapley Value allocation. The proposed solution is a generic approach, applicable to both radial and meshed distribution systems as well as those with high penetration of renewables and DG units. With several different methods for distribution system loss allocation, the suggested method has been shown to be a straight-forward and efficient criterion for performance comparisons. The suggested loss allocation approach is numerically investigated, the results of which are presented for two distribution systems and its performance is compared with those obtained by other methodologies.

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Persistent luminescence nanoparticles for cancer theranostics application

Journal of Nanobiotechnology ◽

10.1186/s12951-021-00862-z ◽

2021 ◽

Vol 19 (1) ◽

Author(s):

Nian Liu ◽

Xiao Chen ◽

Xia Sun ◽

Xiaolian Sun ◽

Junpeng Shi

Keyword(s):

Uv Light ◽

Combined Therapy ◽

Tumor Therapy ◽

High Sensitivity ◽

Persistent Luminescence ◽

Therapeutic Drugs ◽

High Penetration ◽

Recent Developments ◽

Cancer Theranostics

AbstractPersistent luminescence nanoparticles (PLNPs) are unique optical materials that emit afterglow luminescence after ceasing excitation. They exhibit unexpected advantages for in vivo optical imaging of tumors, such as autofluorescence-free, high sensitivity, high penetration depth, and multiple excitation sources (UV light, LED, NIR laser, X-ray, and radiopharmaceuticals). Besides, by incorporating other functional molecules, such as photosensitizers, photothermal agents, or therapeutic drugs, PLNPs are also widely used in persistent luminescence (PersL) imaging-guided tumor therapy. In this review, we first summarize the recent developments in the synthesis and surface functionalization of PLNPs, as well as their toxicity studies. We then discuss the in vivo PersL imaging and multimodal imaging from different excitation sources. Furthermore, we highlight PLNPs-based cancer theranostics applications, such as fluorescence-guided surgery, photothermal therapy, photodynamic therapy, drug/gene delivery and combined therapy. Finally, future prospects and challenges of PLNPs in the research of translational medicine are also discussed.

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Impact of High Penetration Renewable Energy Systems on Low-Frequency Oscillations

2021 International Conference on Electric Power Engineering – Palestine (ICEPE- P) ◽

10.1109/icepe-p51568.2021.9423472 ◽

2021 ◽

Author(s):

Hasan Ali Abumeteir ◽

Ahmet Mete Vural

Keyword(s):

Renewable Energy ◽

Low Frequency ◽

Energy Systems ◽

Renewable Energy Systems ◽

Low Frequency Oscillations ◽

High Penetration

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Research on Multi-Timescale Coordinated Method for Source-Grid-Load with Uncertain Renewable Energy Considering Demand Response

Sustainability ◽

10.3390/su13063400 ◽

2021 ◽

Vol 13 (6) ◽

pp. 3400

Author(s):

Jia Ning ◽

Sipeng Hao ◽

Aidong Zeng ◽

Bin Chen ◽

Yi Tang

Keyword(s):

Renewable Energy ◽

Real Time ◽

Demand Response ◽

System Operation ◽

Real Time Scheduling ◽

High Penetration ◽

Time Scheduling ◽

Grid Load ◽

Grid Side ◽

Scheduling Models

The high penetration of renewable energy brings great challenges to power system operation and scheduling. In this paper, a multi-timescale coordinated method for source-grid-load is proposed. First, the multi-timescale characteristics of wind forecasting power and demand response (DR) resources are described, and the coordinated framework of source-grid-load is presented under multi-timescale. Next, economic scheduling models of source-grid-load based on multi-timescale DR under network constraints are established in the process of day-ahead scheduling, intraday scheduling, and real-time scheduling. The loads are classified into three types in terms of different timescale. The security constraints of grid side and time-varying DR potential are considered. Three-stage stochastic programming is employed to schedule resources of source side and load side in day-ahead, intraday, and real-time markets. The simulations are performed in a modified Institute of Electrical and Electronics Engineers (IEEE) 24-node system, which shows a notable reduction in total cost of source-grid-load scheduling and an increase in wind accommodation, and their results are proposed and discussed against under merely two timescales, which demonstrates the superiority of the proposed multi-timescale models in terms of cost and demand response quantity reduction.

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