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15 results for “Congestion Management”
Dataset to Study TSO-DSO Coordination Market Models for Flexibility Procurement to Balancing and Congestion Management
<p>The dataset is composed by an interconnected system consisting of the IEEE 14-bus (TN) transmission network connected to three distribution networks: the Matpower systems 18-bus (DN_18), 69-bus (DN_69), and 141-bus (DN_141). All systems topology and some parameters are based on the corresponding cases in Matpower [1]. Base demand is adapted from the case, while base generation profiles are added to all nodes. All distribution systems are balanced, and the transmission system is imbalanced. Thermal limits of the lines are adapted in order to create congestion in the systems. Each distribution system is connected to the transmission system through one line, which has capacity of 1.0. The interconnected system is fully represented in "Network.xlsx", in which:</p> <ul> <li>System: transmission (TN) or distribution (DN_18, DN_69, DN_141);</li> <li>LineID: ID of the lines;</li> <li>BusNumber: number of the nodes within the systems. This parameter is used to define the lines (from/to);</li> <li>BaseDemand and BaseSupply: base active demand and generation of each node;</li> <li>ConnectedDN: distribution system to which the transmission system node is connected to. If blank, the node is not connected to any distribution system. Only for the transmission system;</li> <li>InterfaceCapacity: thermal limit of the interface between the transmission and distribution systems;</li> <li>ThermalLimit: thermal limit of the transmission/distribution systems lines. For distribution systems, a value of 10 indicates that the line has no limit; </li> <li>SFTN: shift factor matrix of the transmission system. Capture the change in the active power flow over a line due to a change in injection or offtake at a node;</li> <li>BaseReactiveDemand and BaseReactiveSupply: base reactive demand and generation at each node. Only for distribution systems;</li> <li>VoltageLB and VoltageUB: lower and upper limits for the magnitude squared of the voltage in each distribution system node. Only for distribution systems;</li> <li>ConnectedTN: identify if the distribution node is connected or not to the transmission system. Only for distribution systems;</li> <li>ResistanceR: resistence of the distribution system lines. Only for distribution systems;</li> <li>ReactanceX: reactance of the distribution system lines. Only for distribution systems.</li> </ul> <p>Flexibility bids are randomly generated in the different nodes. For downward flexibility bids, the prices are drawn from the uniform distribution in the range 10 to 15, and for upward flexibility bids, they are drawn from the range 45 to 50. The bids maximum quantities are generated according to the base demand or supply of the node from which they are connected. A minimum value for the quantity is imposed as 0.01. The generated orderbook is presented in "OrderbookTN" (transmission system) and "OrderbookDN" (distribution systems):</p> <ul> <li>OrderID: the ID of the order, to make each order unique;</li> <li>System: the system (TN, DN_18, DN_69, DN_141) from which the order is offered;</li> <li>BusNumber: the node from which the order is offered;</li> <li>FlexibilitySense: UPWARD for increase in generation or decrease in demand; DOWNWARD for increase in demand or decrease in generation;</li> <li>Price: the submitted order price;</li> <li>Quantity: the maximum quantities of the order.</li> </ul> <p>Source of the systems' topology:</p> <p>[1] R. D. Zimmerman, C. E. Murillo-Sanchez, and R. J. Thomas, “Mat-power: Steady-state operations, planning, and analysis tools for power systems research and education,” IEEE Transactions on power systems, vol. 26, no. 1, pp. 12–19, 2010.</p> <p>Please notice that this dataset does not replace the information provided by Matpower related to the aforementioned systems. It rather uses those systems topology and some of their parameters to build a case study to investigate TSO-DSO coordination market models for the procurement of flexibility. For the full description of these systems, please visit: <a href="https://matpower.org/">MATPOWER – Free, open-source tools for electric power system simulation and optimization</a>.</p>
Dataset for the paper Congestion management via increasing integration of electric and thermal energy infrastructures
<p>Accompanying dataset for the paper <em>Congestion management via increasing integration of electric and thermal energy infrastructures</em></p>
Virtual Storage Plant (VSP) final demonstration of congestion management
<p>This the dataset of final demostration of using distributed control with consensus algorithm for congestion management using a virtual storage plant. The dataset contains raw data from 1 experiment for 1 HLU5-UC4 scenarios: TC_5.04.</p> <p>The experiments were conducted at the University of Zagreb's Smart Grid Laboratory (SGLab).</p>
Avoiding Treatment in the Hospital With Furoscix for the Management of Congestion in Heart Failure - A Pilot Study
ClinicalTrials.gov study NCT04593823. IPD Sharing: NO. Countries: 1. Publications: 1.
Atrial Fibrillation Management in Congestive Heart Failure With Ablation
ClinicalTrials.gov study NCT00652522. IPD Sharing: Not stated. Countries: 3. Publications: 1.
A Disease Management Study Targeted to Reduce Health Care Utilization for Patients With Congestive Heart Failure
ClinicalTrials.gov study NCT02251899. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Simplified Lung Ultrasound Guided Management Protocol Of Pulmonary Congestion in Hemodialysis
ClinicalTrials.gov study NCT06296160. IPD Sharing: YES. Countries: 1. Publications: 17.
Smartphone-Based Incentive Framework for Dynamic Network-Level Traffic Congestion Management Project H3
<p>Task 2 numerical experiment results</p>
Natrecor (Nesiritide) in Transplant-Eligible Management of Congestive Heart Failure-TMAC
ClinicalTrials.gov study NCT00338455. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Post-market Clinical Follow-up Study of an Isotonic Saline Solution to Manage Nasal Congestion in Case of Flu Symptoms, Colds, Allergic Rhinitis and Rhinosinusitis in Infants and Toddlers
ClinicalTrials.gov study NCT07257224. IPD Sharing: NO. Countries: 1. Publications: 0.
A Strategy of Home Telehealth for Management of Congestive Heart Failure(STARTEL)
ClinicalTrials.gov study NCT00247000. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Managing Congestion in Heart Failure: A Mechanistic Study in Patients With HFpEF
ClinicalTrials.gov study NCT06977477. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Acoustic and Volumetric Measurements in Order to Objectify Bronchial Congestion in Patients With Obstructive Respiratory Pathologies Within the Framework of Their Management in Respiratory Physiothera
ClinicalTrials.gov study NCT05480163. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Correlation of the Non-invasive Cardiopulmonary Management (CPM) Wearable Device With Measures of Congestion in Heart Failure
ClinicalTrials.gov study NCT05026034. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
A Mobile Integrated Health Intervention to Manage Congestive Health Failure and Chronic Obstructive Pulmonary Disease
ClinicalTrials.gov study NCT05540158. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
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