Analysis Of Distribution Networks Research Articles

Adoption of the OMOP CDM for Cancer Research using Real-world Data: Current Status and Opportunities.

The Observational Medical Outcomes Partnership (OMOP) common data model (CDM) that is developed and maintained by the Observational Health Data Sciences and Informatics (OHDSI) community supports large scale cancer research by enabling distributed network analysis. As the number of studies using the OMOP CDM for cancer research increases, there is a growing need for an overview of the scope of cancer research that relies on the OMOP CDM ecosystem. In this study, we present a comprehensive review of the adoption of the OMOP CDM for cancer research and offer some insights on opportunities in leveraging the OMOP CDM ecosystem for advancing cancer research. Published literature databases were searched to retrieve OMOP CDM and cancer-related English language articles published between January 2010 and December 2023. A charting form was developed for two main themes, i.e., clinically focused data analysis studies and infrastructure development studies in the cancer domain. In total, 50 unique articles were included, with 30 for the data analysis theme and 23 for the infrastructure theme, with 3 articles belonging to both themes. The topics covered by the existing body of research was depicted. Through depicting the status quo of research efforts to improve or leverage the potential of the OMOP CDM ecosystem for advancing cancer research, we identify challenges and opportunities surrounding data analysis and infrastructure including data quality, advanced analytics methodology adoption, in-depth phenotypic data inclusion through NLP, and multisite evaluation.

Closure to “Analysis of Intermittent Water Distribution Networks Using a Dummy Emitter Device at Each Demand Node”

Closure to “Analysis of Intermittent Water Distribution Networks Using a Dummy Emitter Device at Each Demand Node”

Modeling chlorine residuals in urban water distribution networks (Al-Ashrafieh – Homs)

Maintaining water quality in the water distribution networks has become a prominent issue. Chlorine Residual is an indicator to ensure water quality in the network A hydraulic analysis of the water distribution network in the Al-Ashrafieh city in Homs governorate was used to determine the chlorine residual concentration in the network. Samples were collected from the network to determine the percentage of free residual chlorine at three points and to compare with the program results. The results of the program represent a good simulation of field values, with an error less than 5%, RMSE = 0.02, 0.1, 0.02 for nodes 14, 11, and 3 respectively. The simulation showed that chlorine values in the network were within the permissible values in more than 95% of the network pipes, where Chlorine values decrease at peak times and at high-pressure values. Available data indicate a decrease in the percentage of free residual chlorine at some points. Three support point scenarios were studied, where the UCC (Uniform Chlorine Coefficients) increases when the support is used by using number of points of support near the pipes that has the low levels of chlorine from a value of 0.84 to 0.9.

Analyzing impact of network constraints on feasible operation region of the radial distribution networks

Recently, there has been lot of research on finding the feasible operating region (FOR) of the active distribution network (ADN) to provide ancillary services to the transmission grid. The current focus of research is on finding methods that can accurately determine the shape of the FOR and have fast computation time. However, there is little focus on analyzing how network constraints impact the shape of the FOR. This paper attempts to address this issue and provides a mathematical derivation of how network constraints, such as cable loading and voltage limits, would influence FOR. The approach is based on a linear distflow mathematical analysis. The relations derived in the analysis are verified with numerical simulation on radial low-voltage (LV) and medium-voltage (MV) networks. The results show that cable loading constraints cut the FOR in a circular way and voltage constraints cut the FOR with a straight line of slope −ϵ, which is the ratio Rn/Xn of the path from root node to the node under analysis of the radial distribution network.

Heterotrophic plate counts (HPCs) in drinking water distribution systems: A comprehensive review and meta-analysis

ABSTRACT Heterotrophic plate count (HPC) is widely assessed in drinking water distribution systems. However, methodological standards and guidelines on the use of HPC are not clearly defined. This comprehensive review and meta-analysis aim to evaluate HPC concentration and how they relate to the characteristics and operational conditions of systems. The size of the distribution system, use of chlorine or chloramine as secondary disinfection and the carbon content of the water were considered. Among 839 MEDLINE® records, 39 met our criteria and were included in the meta-analysis. Overall, wide ranges of HPC levels were observed in drinking water distribution systems. Results from the meta-analysis show a significant difference in concentrations between systems using chlorine or chloramine as secondary disinfectant and those that are not using any form of secondary disinfection. Similarly, results demonstrate a positive correlation between HPC levels and assimilable organic carbon. Assessing the spatial and temporal variations of HPC can provide useful information about the biological stability of the water and allow for routine analyses within individual drinking water systems. Due to its limitations as a global and unique indicator of water quality, HPC should be applied as part of a multi-parameter approach for microbial growth analysis in distribution networks.

Comparison of Different Approaches of Analysis of Water Distribution Network

Comparison of Different Approaches of Analysis of Water Distribution Network

Distributed photovoltaic hosting capacity assessment technology considering stable operation of distribution network

Abstract The rise of distributed photovoltaic (PV) in recent years has enhanced the sustainability, reliability, and flexibility of power systems. However, excessive PV access beyond the distribution network’s hosting capacity can jeopardize grid security and stability. This paper proposes a data-driven assessment method for PV carrying capacity, ensuring optimal integration while considering operational stability. Detailed analysis of a specific distribution network validates the method’s efficacy, leveraging network data for accurate evaluation. The approach holds promise for widespread adoption and large-scale application.

Analysis and Design of Water Distribution Network for Jabalpur Cantonment Board Area

In this research paper focuses on studying and improving the water distribution network in the Jabalpur Cantonment Board Area. Water distribution networks are crucial infrastructures for ensuring reliable water supply to communities. However, many areas, including Jabalpur Cantonment, face challenges related to water distribution efficiency, reliability, and equitable access. The study begins with a comprehensive analysis of the existing water distribution network in the Jabalpur Cantonment Board Area. Factors such as network layout, pipe material, age of infrastructure, and water demand patterns are thoroughly examined to identify existing inefficiencies and areas for improvement. Using advanced engineering tools such as WaterGems and methodologies, an optimized design for the water distribution network is proposed. This design considers factors such as hydraulic efficiency, pressure management, and resilience to minimize water losses and ensure consistent water supply to consumers. Furthermore, the study incorporates considerations for future growth and development in the Jabalpur Cantonment Board Area. By employing sustainable design practices and incorporating modern technologies, the proposed water distribution network aims to meet the present and future water needs of the community while minimizing environmental impact. By implementing the proposed design improvements, the Jabalpur Cantonment Board can achieve a more sustainable, efficient, and reliable water supply network, ultimately improving the quality of life for its residents.

Multi-Function Collaborative Flexible Source-Load Intelligent Interactive Operation Control Technology for Industrial Communities

Different from the traditional power supply mode of only distribution network, the new energy distribution network gradually presents a strong coupling and strong correlation between the "source - network - load - energy storage" multi-energy system structure. Its various types of resources have the characteristics of wide regional distribution of "multiple points and wide areas". According to the characteristics of distribution network, this project studies the voltage self-optimizing control strategy in a wide range of distribution network with multi-source coordination. Through the coordinated regulation of multiple decentralized systems such as new energy power generation, energy storage and flexible load, the voltage quality in a large range is improved under the premise of guaranteeing energy storage capacity. Through the analysis of an urban distribution network, the results show that the proposed algorithm is feasible and advanced. Compared with the conventional regulation mode, this mode is more suitable for the regulation requirements of distribution network.

Upstream land use with microbial downstream consequences: Iron and humic substances link to Legionella spp.

Intensified land use can disturb water quality, potentially increasing the abundance of bacterial pathogens, threatening public access to clean water. This threat involves both direct contamination of faecal bacteria as well as indirect factors, such as disturbed water chemistry and microbiota, which can lead to contamination. While direct contamination has been well described, the impact of indirect factors is less explored, despite the potential of severe downstream consequences on water supply. To assess direct and indirect downstream effects of buildings, farms, pastures and fields on potential water sources, we studied five Swedish lakes and their inflows. We analysed a total of 160 samples in a gradient of anthropogenic activity spanning four time points, including faecal and water-quality indicators. Through species distribution modelling, Random Forest and network analysis using 16S rRNA amplicon sequencing data, our findings highlight that land use indirectly impacts lakes via inflows. Land use impacted approximately one third of inflow microbiota taxa, in turn impacting ∼20–50 % of lake taxa. Indirect effects via inflows were also suggested by causal links between e.g. water colour and lake bacterial taxa, where this influenced the abundance of several freshwater bacteria, such as Polynucleobacter and Limnohabitans. However, it was not possible to identify direct effects on the lakes based on analysis of physiochemical- or microbial parameters. To avoid potential downstream consequences on water supply, it is thus important to consider possible indirect effects from upstream land use and inflows, even when no direct effects can be observed on lakes. Legionella (a genus containing bacterial pathogens) illustrated potential consequences, since the genus was particularly abundant in inflows and was shown to increase by the presence of pastures, fields, and farms. The approach presented here could be used to assess the suitability of lakes as alternative raw water sources or help to mitigate contaminations in important water catchments. Continued broad investigations of stressors on the microbial network can identify indirect effects, avoid enrichment of pathogens, and help secure water accessibility.

Definition and application of the Péclet number threshold for water quality analysis in water distribution networks

ABSTRACT To assess the water quality within the distribution networks, simplified models are used, which adopt an advective–reactive approach and neglect diffusion–dispersion phenomena. Although such simplifications can be sufficiently accurate in complete turbulent uniform flow regimes, literature works demonstrated that they could produce wrong results in laminar and transitional regimes that are relevant when analysing low flows, dead-end pipes in looped distribution networks or service connections. On the other hand, advective simplification allows for considerable computational savings during the simulation of large networks. Therefore, a criterion is needed for better discriminate pipes in which the advective approach is sufficient or the diffusive approach is required. The present study aims to investigate the use of the Péclet number to discriminate the use of advective simplification both adopting the two-dimensional (2D) advection–dispersion equation and the one-dimensional (1D) cross-section averaged advection–dispersion equation. The numerical analysis was applied to a linear pipeline using the EPANET, 1D advective–dispersive–reactive, and EPANET-DD (Dynamic–Dispersion) models. The results showed the inadequacy of the Péclet number in discriminating the dominance of the advective–dispersive process in real systems, as it is linked to the pipe's length, regardless of the flow regime occurring on the pipeline.

Multiple-node model of wind turbine generating system for unbalanced distribution system load flow analysis

This paper discusses a method to integrate a wind turbine generating system (WTGS) into a three-phase unbalanced distribution system load flow (DSLF) analysis. The proposed method is based on the single-phase multiple-node model. In the present work, the single-phase multiple-node model is extended to a three-phase multiple-node model to facilitate the load flow analysis of a three-phase unbalanced power system network. The multiple-node model (i.e., three-node model) will only modify the load flow analysis by introducing two lines and two load buses to the distribution system network where the WTGS is installed. Thus, a standard three-phase load flow program can be employed to compute the unknown quantities in the DSLF problem formulation. The proposed method is verified by incorporating the model into the load flow analysis of three-phase distribution networks. The investigation uses two representative distribution networks (i.e., 19-bus and 25-bus networks). The results of the study confirm the validity of the proposed method.

Modeling and analysis of distribution network with photovoltaic cells based on Markov global sensitivity

When multiple distributed PV (photovoltaic) systems are integrated into multiple nodes of the distribution network, this will lead to the significant influence of the grid-tied node voltage of the power distribution network resulting from the uncertainty of PV power. Therefore, this aspect needs to be further studied in terms of how to effectively characterize the uncertainty of the voltage influence in a grid-tied multi-PV system distribution network. Focusing on this problem, a modeling and analysis method for distribution networks with PV cells based on Markov global sensitivity is proposed in this paper. Firstly, a global Markov chain is constructed using the Markov chain and the power flow equation to model the uncertainty of PV power. Furthermore, a Markov global sensitivity function is proposed to characterize the influence degree of the voltage on the distribution network nodes while multi-point PV system are grid-tied to system. The case study results show that the uncertainty model of multi-point PV grid-connection can be effectively constructed using the proposed method in this paper, and the uncertainty influence analysis is accurate. This is of great significance for grid connection planning and the optimization control of new energy systems, as well as for the new energy consumption increase.

Upper control limit calculation for bad data detection in spatiotemporal power quality massive data and its application to harmonic load flow study

The current monitoring of modern distribution networks by operators with the aim to improve the network visibility and thus detect and mitigate challenges such as power quality issues has resulted in massive data generation. Such data need to be analysed and technical observations realised. Thus, this paper presents bad data detection for spatiotemporal harmonic power quality field measurements obtained from six power quality analysers (installed at the connection points of customer-owned photovoltaic and small-scale energy storage and the mains units) with high level of granularity (1s interval). A total of 4.1 billion measured values have been evaluated in the bad data detection. Multivariate statistical methods (principal component analysis and Hotelling’s T2 statistic) have been combined with Bag of Little Bootstrap (BLB) to analyse the massive data. Specifically, the BLB technique has been deployed for calculating the upper control limit for the bad data detection, thus, the spatiotemporal nature of the data has been fully captured. The method has been applied to harmonic load flow analysis of a practical distribution network. The findings reveal how the neglect of spatiotemporality could conceal the actual harmonic penetration levels in a data-driven harmonic load flow analysis. Other interesting technical findings are presented.

Analysis of large scale distribution network using Whale Optimization Algorithm

In this study, we use a loop matrix to describe the reorganisation of the RDN's formulation. Calculation time is increased when an optimum reorganisation is determined analytically. More network buses means more time to calculate. Therefore, a technique of optimisation is required to determine the best reorganisation of the radial distribution system. The optimum reorganisation aims to reduce network losses to a minimum and the voltage profile is enhanced. Loop matrices are used to describe the re-formulation of the radial distribution system. The analytical technique of identifying optimum reconfiguration involves additional calculation time. The computational complexity grows as the system's bus count rises. Therefore, a search for the best possible radial distribution system reconfiguration necessitates an optimization technique. The ideal reconfiguration focuses mostly on reducing the system's overall loss. The genetic algorithm (GA), particle swarm optimization (PSO), and whale optimization algorithm (WOA) are the optimization methods used in this paper. Two test systems consisting of 119 buses, and 135 buses are used to evaluate the effectiveness of various optimization strategies. The outcomes are then compared with one another.

Advancing high impedance fault localization via adaptive transient process calibration and multiscale correlation analysis in active distribution networks

Fault localization is crucial for ensuring stability, particularly in high impedance faults (HIF) characterized by low current levels and prolonged transient processes (TP). Existing methods predominantly analyze differences in the fixed-length transient waveform, potentially causing delays in triggering or failure in HIF scenarios. To address these challenges, a novel AI application paradigm for HIF localization was introduced, incorporating both adaptive TP calibration and multiscale correlation analysis. Based on 1D-Unet, the TP of the zero-sequence voltage (ZSV) can be adaptively calibrated to maximize the utilization of transient information. Subsequently, the differential zero-sequence voltage (DZSV) and transient zero-sequence current (TZSC) can be acquired to facilitate multiscale correlation analysis. Combined with a sliding window strategy, the micro correlation between DZSV and TZSC is articulated through the local correlation degree (LCD). The comprehensive correlation degree (CCD) between DZSV and TZSC is then formulated to realize fault feeder/ section localization at the macro level. The 1D-Unet model achieved a classification accuracy of 99.2 % for sample points in test datasets and showed robustness with an accuracy exceeding 93.5 % in the presence of 20 dB noise interference. When integrated with the well-trained 1D-Unet, the proposed approach underwent further validation using simulation data and field recordings. These tests confirmed the model's resilience to noise interference up to 20 dB and its efficacy across networks of diverse topologies, such as the IEEE-13 and 34-node distribution networks. Additionally, an industrial prototype applying this framework identified all fault conditions without false positives or omissions, outperforming existing methods under various fault scenarios, including those involving high impedance materials and different resistance levels across multiple feeders.

Identification of Distribution Network Topology and Line Parameter Based on Smart Meter Measurements

Accurate line parameters are the basis for the optimal control and safety analysis of distribution networks. The lack of real-time monitoring equipment in grids has meant that data-driven identification methods have become the main tool to estimate line parameters. However, frequent network reconfigurations increase the uncertainty of distribution network topologies, creating challenges in the data-driven identification of line parameters. In this paper, a line parameter identification method compatible with an uncertain topology is proposed, which simplifies the model complexity of the joint identification of topology and line parameters by removing the unconnected branches through noise reduction. In order to improve the solving accuracy and efficiency of the identification model, a two-stage identification method is proposed. First, the initial values of the topology and line parameters are quickly obtained using a linear power flow model. Then, the identification results are modified iteratively based on the classical power flow model to achieve a more accurate estimation of the grid topology and line parameters. Finally, a simulation analysis based on IEEE 33- and 118-bus distribution systems demonstrated that the proposed method can effectively realize the estimation of topology and line parameters, and is robust with regard to both measurement errors and grid structures.

A Review Article on Analysis and Design of Water Distribution Network for Jabalpur Cantonment Board Area

The Jal Jeevan Mission (JJM) stands as a transformative initiative aimed at ensuring accessible and potable water supply to every rural household across India. This review article delves into assessing the comprehensive impact of the JJM on rural water supply systems, with a primary focus on evaluating its assessment methodologies, distribution network designs, and analytical aspects.The assessment section scrutinizes the strategies employed under the JJM for gauging the water needs of rural communities. It examines the mission's effectiveness in identifying and addressing the diverse and dynamic requirements of different regions, considering factors such as population density, topography, and water quality.Furthermore, the design of the distribution network within the JJM framework is critically analyzed. This includes an exploration of the planning, engineering, and implementation methodologies used to establish robust and efficient water supply networks in rural areas. The article delves into the technological innovations, if any, adopted for optimizing water distribution, storage, and management.

A Review Article on Analysis and Design of Water Distribution Network for Jabalpur antonment Board Area

The provision of a reliable and efficient water distribution system is fundamental for ensuring adequate water supply to urban areas. This review article aims to analyze and evaluate the design aspects, hydraulic performance, and challenges related to the water distribution network in the Jabalpur Cantonment Board Area. The study comprehensively examines the current state of the water distribution system, evaluates its operational efficiency, and proposes recommendations for enhancing its performance and sustainability.The review commences by providing an overview of the Jabalpur Cantonment Board Area, highlighting the demographic, geographic, and infrastructural aspects relevant to the water distribution network. It delves into the existing system layout, network configuration, pumping stations, reservoirs, pipe materials, and other infrastructure components contributing to the distribution of potable water to the residents.Furthermore, the review article conducts a detailed analysis of hydraulic modeling techniques and software applications utilized in assessing the performance and optimization of the water distribution network. It scrutinizes factors influencing network efficiency, including water demand patterns, pressure management, leakage detection, and water loss reduction strategies.Through a critical evaluation of the existing challenges faced by the water distribution network in Jabalpur Cantonment, the review identifies issues such as aging infrastructure, inadequate maintenance, uneven distribution, non-revenue water, and insufficient pressure management.

Power Loss Minimization and Voltage Profile Improvement of Radial Distribution Network Through the Installation of Capacitor and Distributed Generation (DG)

The growing demand for electricity has raised concerns about power dissipation in distribution systems. To mitigate these losses, capacitors and distributed generator (DGs), particularly solar PV are strategically placed within the system. This project is committed to reducing power losses and improving the voltage profile through an in-depth analysis, optimizing the placement of capacitor and DG along the distribution feeder. The application of forward and backward sweep (FBS) algorithms assists load flow analysis in distribution networks with high R/X ratios, while the incorporation of the Genetic Algorithm (GA) within MATLAB identifies optimal locations & size for capacitors and DGs inside the large solution space of this complex, nonlinear optimization problem. Test outcomes, conducted on an IEEE 33-bus test system as its convincing representation of medium sized distribution network providing a versatile platform for evaluating proposed methodologies with practical implementation, showcase load flow examination, improvements in voltage profiles and minimized energy dissipation. The methodology is further applied to the real distribution network of the Sallaghari-Thimi 11 kV feeder in Bhaktapur, Nepal, sustaining the approach's effectiveness in mitigating power losses and increasing voltage profiles. Distributed generation with capacitor outperforms capacitors, and DG integration in the power system results in significant reductions of 72.91% in real power loss and 63.45% in reactive power loss, with a notable 6.542% increase in voltage magnitude. Application of these strategies in the Thimi Sallaghari 11 kV feeder demonstrates significant power loss saving (up to 82.72%) and worthy improvements in voltage profiles (up to 5.32%), focusing on their effectiveness in enhancing operational efficiency. This approach provides a practical solution for optimizing capacitor and solar PV distributed generator placement in distribution networks considering various case scenarios.