Enhancement Strategies Research Articles

Strategy for Enhancing Hosting Capacity of Distribution Lines Using a Vertical Photovoltaic System

Renewable energy sources are being increasingly deployed to achieve carbon neutrality, thereby boosting photovoltaic (PV) system adoptions. Accordingly, vertical PV systems designed for specific installations have been developed. We propose a strategy to enhance the PV hosting capacity of a connected distribution line (DL) by combining vertical installations with modules facing east-west and conventional PV systems with modules facing south at an installation angle of approximately 30°. The data were obtained from a real testbed located in South Korea, which is situated in a mid-latitude region. We analyzed the generation patterns of vertical and combined PV systems (vertical and conventional) to enhance the hosting capacity. The results showed that vertical PV combination ratios of 40–60% effectively flattened the peak generation curve. Additionally, the DL hosting capacity improved by 40% under real-world conditions. In an actual industrial scenario, the system feasibility was validated to be within the voltage maintenance range and thermal capacity of lines in South Korea, indicating that this approach can mitigate the need for additional line installations and renewable energy curtailments. Furthermore, the issue of Duck Curves in the power grid can be addressed by smoothing the power production of the PV systems, particularly during low-demand periods.

Enhancing Strategy of the Small-Polaron Conductivity in LaCrO3: First-Principles Calculations and Experimental Validation.

LaCrO3 (LCO) has promising applications as a p-type conductive material in the fields of transparent conducting oxes, high-temperature sensors, and magnetohydrodynamic power generators. However, the easy volatility of the Cr element, along with the issues of low electrical conductivity caused by the small-polaron conduction mechanism and wide band gap, has hindered the widespread application of LCO. In this work, based on band engineering and defect engineering, we screened doping schemes through first-principles calculations that can reduce Cr volatility by enhancing the Cr-O bond energy. We also aimed to promote small-polaron hopping and improve the electrical conductivity by introducing impurity levels. Additionally, we conducted a thorough analysis of the small-polaron conductivity mechanism. Through the solid-state method, we successfully prepared codoped LCO with Ca and Zn. The Zn dopants effectively enhanced the Cr-O bond strength, suppressed the Cr volatility, and improved high-temperature stability. The Zn dopants introduced additional impurity energy levels within the band gap, significantly changing the mobility of small polarons. Through optimal doping concentration, the La0.7Ca0.3Cr0.95Zn0.05O3 sample demonstrated a significant enhancement in electrical conductivity compared to La0.7Ca0.3CrO3, increasing from 7 to 60 at 1000 K. Additionally, the impurity energy levels enhanced the asymmetry near the Fermi level, resulting in an increased Seebeck coefficient (S). This is beneficial for the production of high-temperature sensors. The output voltage of an LCO thermocouple module reaches up to 58 mV at 2170 K, indicating that the performance optimization strategy employed in this work has significant implications for the regulation and application of oxide electrical materials.

Permeability and selectivity synergistically enhanced nanofluidic membrane for osmotic energy harvesting

AbstractFor the porous‐membrane‐based osmotic energy generator, the potential synergistic enhancement mechanism of various key parameters is still controversial, especially because optimizing the trade‐off between permeability and selectivity is still a challenge. Here, to construct a permeability and selectivity synergistically enhanced osmotic energy generator, the two‐dimensional porous membranes with tunable charge density are prepared by inserting sulfonated polyether sulfone into graphene oxide. Influences of charge density and pore size on the ion transport are explored, and the ionic behaviors in the channel are calculated by numerical simulations. The mechanism of ion transport in the process is studied in depth, and the fundamental principles of energy conversion are revealed. The results demonstrate that charge density and pore size should be matched to construct the optimal ion channel. This collaborative enhancement strategy of permeability and selectivity has significantly improved the output power in osmotic energy generation; compared to the pure graphene oxide membrane, the composite membrane presents almost 20 times improvement.

Dual-mode luminescence light intensity modulation characteristics and optical radiation dependence of stannate photochromic ceramics

Alkaline earth stannate is characterized by good physicochemical stability. It has been applied in the field of optical information storage by coupling photoluminescence intensity modulation and photochromic performance, which has attracted the attention of researchers. The development of alkaline earth stannate ceramics with high light intensity modulation properties and non-destructive reading of optical information is of great research value. In this study, Er3+-doped Ca2SnO4 photochromic ceramics were prepared by high-temperature solid-phase reaction method. Alternating UV light irradiation and thermal stimulation, the ceramics achieve a reversible transition between light and dark gray. Er3+ doping gives the ceramics dual-mode luminescence light intensity modulation performance. When the doping amount of Er3+ is 0.01 mol, there is a maximum down-conversion luminous intensity modulation ratio of 93%, which is higher than most of the same type of photochromic materials. The photochromic behavior is explained using the capture-release model of traps for carriers, and the dual-mode luminescence light-intensity modulation behavior is analyzed through the energy transfer mechanism. The optical radiation response properties were investigated and the optimum light response wavelength is found to be 290 nm, which is related to the optical band gap Eg. And the selection of the optimal light response wavelength can effectively improve the performance of photochromic and light intensity modulation. This study provides a promising strategy for performance enhancement of photochromic materials.

Site-specific wake steering strategy for combined power enhancement and fatigue mitigation within wind farms

Wind energy plays a crucial role in the quest for sustainable energy solutions. However, optimizing the efficiency of wind energy utilization remains a significant challenge. Wake steering, a key strategy in the field, offers the potential to address this challenge. This study introduces an innovative site-specific wake steering framework that incorporates a wake superposition model for wake steering, a machine-learning based fatigue and power predictor and a multi-objective optimizer to both enhance total power generation and mitigate fatigue loads within wind farms. The wake superposition model, developed and validated here, successfully replicates secondary wake steering effects and provides a new solution for calculating superimposed transverse velocity. The study comprehensively considers and implements constraints based on physical laws. Analysis of inflow speed and turbulence levels reveals that wake steering can continue to enhance total power output. Power enhancement can reach up to 18% at lower turbulence levels and still achieve significant increases even when inflow speeds exceed rated values, with only marginal increases in fatigue loads. Lower turbulence levels improve optimization results at the expense of heightened structural loads, while higher turbulence levels lead to diminishing power enhancement and additional fatigue loads. Examination of wind turbine spacing shows that smaller intervals yield substantial power enhancement, with improvements of up to 51.7%, although the effect diminishes as intervals increase and wake recovery takes place. In conclusion, the proposed site-specific wake steering framework offers an efficient means of balancing enhanced wind farm power output and structural integrity, representing a significant advancement in wind energy optimization.

The impact of intellectual capital on company financial performance: Evidence from the Omani industrial sector

The article aims to investigate, using the VAIC and MVAIC models, the impact of intellectual capital on the financial performance of Omani companies listed on the Muscat Stock Exchange from 2017 to 2021. Regression analysis revealed a significant positive influence of VAIC and MVAIC only on the Asset Turnover Ratio at a 10% significance level. This suggests that an increase in VAIC or MVAIC by one unit could lead to a respective increase in earnings for Omani listed industrial companies by 0.0017 and 0.0016. However, the overall impact of VAIC and MVAIC on financial performance appears limited, necessitating measures for enhanced efficacy. Moreover, company size and leverage were found to significantly influence EBITDA and Return on Assets, suggesting the positive effect of increased activity and resource utilization. Conversely, Return on Customer Equity negatively affected only Asset Turnover Ratio, implying that investments in marketing and advertising may not significantly enhance financial performance. Human Capital Efficiency showed no significant impact on financial performance measures, highlighting the necessity for Omani industrial enterprises to focus on enhancing employee skills and experience for improved value-creation processes. These findings underscore the intricate relationship between intellectual, physical, and financial capital in shaping financial performance, necessitating targeted strategies for enhancement. Further analysis of suggested models indicated the significance of company size on EBITDA, highlighting the importance of scaling activities for performance improvement. VAIC and MVAIC structural elements showed mixed results, while Capital Employed Efficiency negatively affected Return on Equity, Structural Capital Efficiency positively impacted EBITDA and Asset Turnover Ratio.

Engineering a hyaluronic acid-encapsulated tumor-targeted nanoplatform with sensitized chemotherapy and a photothermal effect for enhancing tumor therapy

Chemotherapy remains one of the most widely used cancer treatment modalities in clinical practice. However, the characteristic microenvironment of solid tumors severely limits the anticancer efficacy of chemotherapy. In addition, a single treatment modality or one death pathway reduces the antitumor outcome. Herein, tumor-targeting O2 self-supplied nanomodules (CuS@DOX/CaO2-HA) are proposed that not only alleviate tumor microenvironmental hypoxia to promote the accumulation of chemotherapeutic drugs in tumors but also exert photothermal effects to boost drug release, penetration and combination therapy. CuS@DOX/CaO2-HA consists of copper sulfide (CuS)-loaded calcium peroxide (CaO2) and doxorubicin (DOX), and its surface is further modified with HA. CuS@DOX/CaO2-HA underwent photothermal treatment to release DOX and CaO2. Hyperthermia accelerates drug penetration to enhance chemotherapeutic efficacy. The exposed CaO2 reacts with water to produce Ca2+, H2O2 and O2, which sensitizes cells to chemotherapy through mitochondrial damage caused by calcium overload and a reduction in drug efflux via the alleviation of hypoxia. Moreover, under near infrared (NIR) irradiation, CuS@DOX/CaO2-HA initiates a pyroptosis-like cell death process in addition to apoptosis. In vivo, CuS@DOX/CaO2-HA demonstrated high-performance antitumor effects. This study provides a new strategy for synergistic enhancement of chemotherapy in hypoxic tumor therapy via combination therapy and multiple death pathways.

DeepAEG: a model for predicting cancer drug response based on data enhancement and edge-collaborative update strategies

MotivationThe prediction of cancer drug response is a challenging subject in modern personalized cancer therapy due to the uncertainty of drug efficacy and the heterogeneity of patients. It has been shown that the characteristics of the drug itself and the genomic characteristics of the patient can greatly influence the results of cancer drug response. Therefore, accurate, efficient, and comprehensive methods for drug feature extraction and genomics integration are crucial to improve the prediction accuracy.ResultsAccurate prediction of cancer drug response is vital for guiding the design of anticancer drugs. In this study, we propose an end-to-end deep learning model named DeepAEG which is based on a complete-graph update mode to predict IC50. Specifically, we integrate an edge update mechanism on the basis of a hybrid graph convolutional network to comprehensively learn the potential high-dimensional representation of topological structures in drugs, including atomic characteristics and chemical bond information. Additionally, we present a novel approach for enhancing simplified molecular input line entry specification data by employing sequence recombination to eliminate the defect of single sequence representation of drug molecules. Our extensive experiments show that DeepAEG outperforms other existing methods across multiple evaluation parameters in multiple test sets. Furthermore, we identify several potential anticancer agents, including bortezomib, which has proven to be an effective clinical treatment option. Our results highlight the potential value of DeepAEG in guiding the design of specific cancer treatment regimens.

Muscle biopsy long-chain omega-3 polyunsaturated fatty acid compositions, IMF and FMP in Australian pasture-based Bowen Genetics Forest Pastoral Angus, Hereford, and Wagyu Beef Cattle

BackgroundWe investigated breed and gender variations in the compositions of long-chain (≥ C20) omega-3 polyunsaturated fatty acids (LC omega-3 PUFA), fat melting point (FMP) and intramuscular fat (IMF) contents in biopsy samples of the M. longissimus dorsi muscle of grazing beef cattle. The hypothesis that biopsy compositions of health-beneficial LC omega-3 PUFA, FMP and IMF in a pasture-based production system will vary with breed, was tested. Muscle biopsies were taken from 127 yearling pasture-based Angus, Hereford, and Wagyu heifers and young bulls exclusive to the Australian Bowen Genetics Forest Pastoral breeding stud averaging 12 ± 2.43 months of age and under the same management routine.ResultsBreed had a significant influence on IMF, FMP, and the compositions of oleic acid, α-linolenic acid (ALA), eicosapentaenoic (EPA), docosahexaenoic (DHA), docosapentaenoic (DPA), and total EPA + DHA + DPA in the M. longissimus dorsi muscle biopsies (P ≤ 0.03). The Wagyu breed had the highest (11.1%) and Hereford the lowest (5.9%) IMF (P = 0.03). The reverse trend was observed in FMP values where the Hereford breed had the highest (55 °C), Angus intermediate (46.5 °C), and Wagyu the lowest (33 °C) FMP. The Wagyu and Angus breeds had similar oleic fatty acid (18:1n-9) content, while the Hereford breed had the lowest (P < 0.01). The highest ALA, DPA, total EPA + DHA, total EPA + DHA + DPA and total ALA + EPA + DHA + DPA contents were detected in the Wagyu breed (P ≤ 0.03). The Hereford had similar EPA and DPA contents to the Angus (P ≥ 0.46). Total EPA + DHA + DPA contents in Wagyu, Angus, and Hereford were 28.8, 21.5, and 22.1 mg/100g tissue (P = 0.01), respectively. Sex was an important source of variation that influenced LC omega-3 PUFA composition, FMP and IMF, where yearling heifers had higher IMF (11.9% vs 5.3%), lower FMP (33°C vs 37°C), and higher LC omega-3 PUFA than bulls.ConclusionAll the results taken together indicate that the Wagyu breed at 28.8 mg/100g tissue, was the closest to meeting the Australia and New Zealand recommended source level threshold of 30 mg/100g tissue of health-beneficial ≥ C20 omega-3 FA content. Since gender was a significant determinant of LC omega-3 PUFA composition, IMF content and FMP, it should be factored into enhancement strategies of healthy meat eating quality traits in grazing cattle. These findings also suggest that the Bowen Genetics Forest Pastoral beef cattle studs are important sources of LC omega-3 PUFA that can be used to cover the deficit in these health claimable fatty acids in Western diets.

Recent advances in microbial fuel cell-based self-powered biosensors: a comprehensive exploration of sensing strategies in both anode and cathode modes.

With the rapid development of society, it is of paramount importance to expeditiously assess environmental pollution and provide early warning of toxicity risks. Microbial fuel cell-based self-powered biosensors (MFC-SPBs) have emerged as a pivotal technology, obviating the necessity for external power sources and aligning with the prevailing trends toward miniaturization and simplification in biosensor development. In this case, vigorous advancements in MFC-SPBs have been acquired in past years, irrespective of whether the target identification event transpires at the anode or cathode. The present article undertakes a comprehensive review of developed MFC-SPBs, categorizing them into substrate effect and microbial activity effect based on the nature of the target identification event. Furthermore, various enhancement strategies to improve the analytical performance like accuracy and sensitivity are also outlined, along with a discussion of future research trends and application prospects of MFC-SPBs for their better developments.

Optimizing release strategies for red king crab stock enhancement: Effects of release timing

Red king crab, Paralithodes camtschaticus, was commercially important around Kodiak, Alaska, USA, in the 1960s and 1970s; however, the stock crashed in the late 1970 s and has remained closed since 1983. The lack of recovery inspired consideration of stock enhancement through the release of hatchery-reared juveniles as a means to bolster the wild population. We examined the effects of release timing on in situ survival of hatchery-reared red king crab by releasing juveniles in June, August, and September 2015 in Trident Basin, Kodiak. We monitored densities inside and outside of release plots for six months using quadrat counts to determine loss and emigration rates. Relative predation risk was determined using tethering experiments performed after each release, and predator densities were quantified using quadrat counts and predator transect counts. Initial mortality over the first 24 h was approximately 53%, and subsequent mortality rates decreased with month-of-release, likely due to a combination of larger size-at-release and seasonal changes in predation. Although predator density was consistent over time, relative predation risk of tethered crabs decreased with season, suggesting later releases may be beneficial. However, the extended hatchery rearing period needed for later releases presents other challenges, including cannibalism, and the potential for developing maladaptive traits. Stock enhancement programs must balance these trade-offs to maximize overall success. Early releases of small juveniles immediately after settlement may be optimal if large-scale hatchery communal rearing results in significant juvenile production loss and/or hatchery conditioning is impractical.

Assessment of Mentoring/Experiential Learning Instructional Delivery Enhancement Strategies for Teaching Entrepreneurship Education in Business Education Programme in Tertiary Institutions in Bayelsa State

The research examined methods for enhancing the delivery of instruction in entrepreneurship education in the Business Education curriculum at tertiary institutions in Bayelsa State, Nigeria, by means of mentorship and experiential learning. The study investigated two hypotheses at the 0.05 level of significance and addressed two research questions using a descriptive survey research design. The population was made up of 89 lecturers in business education from Isaac Jasper Boro College of Education in Sagbama Bayelsa, Niger Delta University Wilberforce Island Bayelsa, and Federal University Otuoke, Bayelsa. All 89 academics were included as responders due to the manageable population size, hence removing the necessity of sampling. Utilizing a 5-point rating scale from Very High Extent (VHE) to Very Low Extent (VLE), with corresponding values of 5, 4, 3, 2, and 1, a structured, closed-ended questionnaire consisting of 26 items was utilized to gather data. Three experts validated the instrument, and the Chrobach Alpha reliability technique was used to certify its reliability. The device's reliability coefficient was found to be 0.783. Through in-person encounters with the respondents, data was collected, and all 89 questionnaires were totally completed, yielding a 100% return rate. The study issues were addressed through the use of mean and standard deviation in the data analysis, and the hypotheses were tested using t-test statistics. With a 5-point rating scale, mean values above 3.00 designated as "high extent" and those below 3.00 as "low extent," a cut-off point value of 3.00 was employed to interpret the results for the research topics. With regard to hypotheses, where the t-calculated (t-cal) value was less than the t-table (t-tab) value of 1.96 at a 0.05 level of significance and 87 degrees of freedom, the null hypothesis of no significant difference was considered. On the other hand, when the t-calculated (t-cal) value was greater than the t-table (t-tab) value of 1.96 at a 0.05 level of significance and 87 degrees of freedom, the null hypothesis was rejected. The results of the study lead to the conclusion that strategies for enhancing the delivery of experiential learning and mentoring interactions are useful for teaching entrepreneurship education in tertiary institutions' business education programs. The National Commission for Colleges of Education (NCCE), the Nigerian Educational Research and Development Council (NERDC), the National Teachers Institute (NTI), and the National University Commission (NUC) are among the organizations that are encouraged to become more involved in education reform and development. They should also be encouraged to support modern, student-centered instructional strategies in the implementation of entrepreneurship education curriculum in business education programs at the nation's postsecondary institutions.

Utilizing the oxygen-atom trapping effect of Co3O4 with oxygen vacancies to promote chlorite activation for water decontamination

Heterogeneous high-valent cobalt-oxo [≡Co(IV)=O] is a widely focused reactive species in oxidant activation; however, the relationship between the catalyst interfacial defects and ≡Co(IV)=O formation remains poorly understood. Herein, photoexcited oxygen vacancies (OVs) were introduced into Co3O4 (OV-Co3O4) by a UV-induced modification method to facilitate chlorite (ClO2-) activation. Density functional theory calculations indicate that OVs result in low-coordinated Co atom, which can directionally anchor chlorite under the oxygen-atom trapping effect. Chlorite first undergoes homolytic O-Cl cleavage and transfers the dissociated O atom to the low-coordinated Co atom to form reactive ≡Co(IV)=O with a higher spin state. The reactive ≡Co(IV)=O rapidly extracts one electron from ClO2- to form chlorine dioxide (ClO2), accompanied by the Co atom returning a lower spin state. As a result of the oxygen-atom trapping effect, the OV-Co3O4/chlorite system achieved a 3.5 times higher efficiency of sulfamethoxazole degradation (~0.1331 min-1) than the pristine Co3O4/chlorite system. Besides, the refiled OVs can be easily restored by re-exposure to UV light, indicating the sustainability of the oxygen atom trap. The OV-Co3O4 was further fabricated on a polyacrylonitrile membrane for back-end water purification, achieving continuous flow degradation of pollutants with low cobalt leakage. This work presents an enhancement strategy for constructing OV as an oxygen-atom trapping site in heterogeneous advanced oxidation processes and provides insight into modulating the formation of ≡Co(IV)=O via defect engineering.

(206) Strategies of Nitric Oxide Augmentation for PDE5 Inhibitors

Abstract Introduction Erectile function and endothelial functions are closely related entities. Nitric oxide NO regulates circulation and microcirculation involved in erection.NO concentration is reduced with aging, diabetes, environment pollution smoking, obesity, inflammation, high prolactin, low testosterone oxidative stress and atherosclerosis. Many of erectile dysfunction patients are PDE5 inhibitor resistant. Strategies to enhance NO expression, can be employed to convert treatment resistant patient into responder. Objective Employ every possible mechanism to augment nitric oxide expression. Greater base line nitric oxide better would be PDE5 inhibitor respose. Methods Internet search was made on various website including pub med, science direct, google scholars using key words like erection, erectile dysfunction, nitric oxide, l arginine, oxidative stress, antioxidant, NOS, endothelial dysfunction, atherosclerosis and etc. This was followed by literature study on given topic. Results Efficacy of PDE 5 inhibitor in ED treatment is 70%. NO concentration decline to 50% by age of 40 and is only 15% at age 60. Humming can increase nasal NO level up to 15 time. Conclusions NO regulates endothelial function, vasodilatation, platelet aggregation inhibition, free radical scavenging, testosterone synthesis and neuronal protection. Study of mechanism of NO production provides, strategies for its enhancement. L arginine, L citrulline, serve as substrate and vitamin C, tetrahydrobiopterin (BH4) act as co factors in production of NO. Endothelial nitric oxide synthase e NOS, neuronal nitric oxide synthase n NOS are major enzymes act involved in synthesis. Oxygen is required for NO synthesis process. Supplementation of substrate and cofactors help increase NO levels. Oxygen availability can be increased through exercise and raising hemoglobin level. Reactive oxygen species ROS convert NO into bioinactive peroxynitrite which itself is ROS. Oxidative stress can cause endothelial nitric oxide synthase uncoupling. Consequently eNOS start producing ROS. This causes oxidation of NOS and as well as of cofactor like BH4 and vitamin C. ROS also increase level of methylarginines. Antioxidant used to neutralize ROS include Co Q10, alpha lipoic acid, flavonoids, bioflavonoids poly phenols, pycnogenol, resveterol, fulvic acid and etc. Second mechanism NO production is from dietary nitrates. Nutritional nitrates are converted into nitrite by oral anaerobic bacteria’s. Nitrate rich foods like beet root or spinach are added to enhance nitrate based NO. Nitric oxide thus produced is used for vasodilatation of penile vessels as well sinuses of corpus cavernousm. Apart from that it inhibits uncoupling of NOS. This support L arginine based mechanism of NO production. Nitroglycerin or minoxidal act as NO donors. These agents can be used locally at glans penis to augment NO availability. Bee breathing is maneuver in which humming sound vibrates nasal sinus increasing NO production up to 15 folds. Inhaled NO act as bronchodilator which increase lung capacity leading to higher blood oxygen concentration. Various NO enhancement strategies thus applied, may convert non responder PDE5 inhibitor to responders. Disclosure No.

Evaluation of the Residency of Black Rockfish (Sebastes schlegelii) in Artificial Reef Areas Based on Stable Carbon Isotopes

Evaluation of the Residency of Black Rockfish (Sebastes schlegelii) in Artificial Reef Areas Based on Stable Carbon Isotopes

A Framework to Design Consumer-Centric Operational Strategies for Resilience Enhancement

A Framework to Design Consumer-Centric Operational Strategies for Resilience Enhancement

A Robust Microgrid Formation Strategy for Resilience Enhancement of Hydrogen Penetrated Active Distribution Networks

A Robust Microgrid Formation Strategy for Resilience Enhancement of Hydrogen Penetrated Active Distribution Networks

Robust Substation Enhancement Strategy for Allocating the Defensive Resource Against the Cyber-Attacks on IEDs

Robust Substation Enhancement Strategy for Allocating the Defensive Resource Against the Cyber-Attacks on IEDs

Detection of Covid-19 based on convolutional neural networks using pre-processed chest X-ray images

The global catastrophe known as COVID-19 has shattered the world’s socioeconomic structure. Effective and affordable diagnosis techniques are crucial for better COVID-19 therapy and the eradication of bogus cases. Due to the daily upsurge in cases, hospitals only have a small supply of COVID-19 test kits. The study describes a deep Convolutional Neural Network (CNN) design for categorizing chest x-ray images in the diagnosis of COVID-19. The lack of a substantial, high-quality chest x-ray picture collection made efficient and exact CNN categorization problematic. The dataset has been pre-processed using an image enhancement strategy to provide an effective training dataset for the proposed CNN model to achieve performance. The proposed model achieves 99.73% of accuracy, 98.95% of specificity, 99.47% of precision, 99.62% of sensitivity, and 98.71% of F1 score. A comparative study between the proposed model and numerous CNN-based COVID-19 detection algorithms is carried out to demonstrate that it outperforms other models. When evaluated on a separate dataset, the suggested model excelled over all other models, generally and explicitly.

Power Sharing Enhancement Strategies for Parallel-Connected Voltage Source Inverters With Common dc and ac Buses in Islanded Microgrids: Two New Control Schemes

Power Sharing Enhancement Strategies for Parallel-Connected Voltage Source Inverters With Common dc and ac Buses in Islanded Microgrids: Two New Control Schemes