Active Management

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Robert C Cantu - One of the best experts on this subject based on the ideXlab platform.

  • statements of agreement from the targeted evaluation and Active Management team approaches to treating concussion meeting held in pittsburgh october 15 16 2015
    Neurosurgery, 2016
    Co-Authors: Michael W Collins, Anthony P Kontos, David O Okonkwo, Jon L Almquist, Julian E Bailes, Mark T Barisa, Jeffrey J Bazarian, Josh O Bloom, David L Brody, Robert C Cantu
    Abstract:

    Background Conventional Management for concussion involves prescribed rest and progressive return to activity. Recent evidence challenges this notion and suggests that Active approaches may be effective for some patients. Previous concussion consensus statements provide limited guidance regarding Active treatment. Objective To describe the current landscape of treatment for concussion and to provide summary agreements related to treatment to assist clinicians in the treatment of concussion. Methods On October 14 to 16, 2015, the Targeted Evaluation and Active Management (TEAM) Approaches to Treating Concussion meeting was convened in Pittsburgh, Pennsylvania. Thirty-seven concussion experts from neuropsychology, neurology, neurosurgery, sports medicine, physical medicine and rehabilitation, physical therapy, athletic training, and research and 12 individuals representing sport, military, and public health organizations attended the meeting. The 37 experts indicated their agreement on a series of statements using an audience response system clicker device. Results A total of 16 statements of agreement were supported covering (1) Summary of the Current Approach to Treating Concussion, (2) Heterogeneity and Evolving Clinical Profiles of Concussion, (3) TEAM Approach to Concussion Treatment: Specific Strategies, and (4) Future Directions: A Call to Research. Support (ie, response of agree or somewhat agree) for the statements ranged from to 97% to 100%. Conclusion Concussions are characterized by diverse symptoms and impairments and evolving clinical profiles; recovery varies on the basis of modifying factors, injury severity, and treatments. Active and targeted treatments may enhance recovery after concussion. Research is needed on concussion clinical profiles, biomarkers, and the effectiveness and timing of treatments. Abbreviations ARS, audience response systemCDC, Centers for Disease Control and PreventionDoD, Department of DefensemTBI, mild traumatic brain injuryNCAA, National Collegiate Athletic AssociationNFL, National Football LeagueNIH, National Institutes of HealthRCT, randomized controlled trialRTP, return to playSRC, sport- and recreation-related concussionTBI, traumatic brain injuryTEAM, Targeted Evaluation and Active Management.

D Wilson - One of the best experts on this subject based on the ideXlab platform.

  • pmu based angle constraint Active Management on 33kv distribution network
    22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013), 2013
    Co-Authors: D Wang, D Wilson, S Venkata, G Murphy
    Abstract:

    Active Network Management (ANM) is an effective approach to release more distribution network capacity for connecting renewable generation without expensive network reinforcements. A pilot project is being carried out by ScottishPower Energy Networks in collaboration with Psymetrix new ANM approach on the 33kV distribution network on Isle of Anglesey, North Wales. The new approach is known as Angle Constraint Active Management (ACAM), where a renewable generation is constrained based on voltage angle difference signals produced by Phasor Measurement Units, and a set of angle constraints derived through offline network simulations. ACAM requires fewer measuring devices and simpler control logic than existing ANM solutions, and in this case, 19 potential constraints are managed by 4 angle difference measurements. The paper describes the concept of ACAM, and the progress of the pilot project, including hardware installation and communication set-up. The results of angle constraints threshold studies using the network model for controlling future wind capacity addition at selected locations are presented. Based on the results, the benefits of ACAM and potential challenges of implementing PMU-based applications in distribution systems are outlined. (4 pages)

  • angle constraint Active Management of distribution networks with wind power
    IEEE PES Innovative Smart Grid Technologies Conference, 2010
    Co-Authors: Luis F Ochoa, D Wilson
    Abstract:

    Large volumes of wind generation capacity are expected to connect to distribution networks in the coming years. The traditional ‘fit and forget’ approach where all technical limitations are satisfied in any credible operational scenario has significantly reduced the ability of certain networks to integrate more generation capacity as the extra costs are not viable for most wind farm developers. In this context, it is envisaged that the true potential of distribution networks to accommodate large renewable generation capacities will only be realised by applying Active network Management schemes. Here, it is proposed the innovative use of synchrophasor technology to Actively manage wind power generation output in congested distribution networks, resulting in the connection of more capacity and, hence, the delivery of more energy as opposed to the 'fit and forget' approach. This is achieved by applying an angle-based constraint that is determined according to the network characteristics (i.e., a proxy for thermal limits, voltage limits, etc.) and using minimal communication. Results from a radial test feeder considering two wind farms demonstrate the effectiveness of the technique in exporting more energy, although at expense of smaller capacity factors, whilst keeping the system secure.

Michael W Collins - One of the best experts on this subject based on the ideXlab platform.

  • statements of agreement from the targeted evaluation and Active Management team approaches to treating concussion meeting held in pittsburgh october 15 16 2015
    Neurosurgery, 2016
    Co-Authors: Michael W Collins, Anthony P Kontos, David O Okonkwo, Jon L Almquist, Julian E Bailes, Mark T Barisa, Jeffrey J Bazarian, Josh O Bloom, David L Brody, Robert C Cantu
    Abstract:

    Background Conventional Management for concussion involves prescribed rest and progressive return to activity. Recent evidence challenges this notion and suggests that Active approaches may be effective for some patients. Previous concussion consensus statements provide limited guidance regarding Active treatment. Objective To describe the current landscape of treatment for concussion and to provide summary agreements related to treatment to assist clinicians in the treatment of concussion. Methods On October 14 to 16, 2015, the Targeted Evaluation and Active Management (TEAM) Approaches to Treating Concussion meeting was convened in Pittsburgh, Pennsylvania. Thirty-seven concussion experts from neuropsychology, neurology, neurosurgery, sports medicine, physical medicine and rehabilitation, physical therapy, athletic training, and research and 12 individuals representing sport, military, and public health organizations attended the meeting. The 37 experts indicated their agreement on a series of statements using an audience response system clicker device. Results A total of 16 statements of agreement were supported covering (1) Summary of the Current Approach to Treating Concussion, (2) Heterogeneity and Evolving Clinical Profiles of Concussion, (3) TEAM Approach to Concussion Treatment: Specific Strategies, and (4) Future Directions: A Call to Research. Support (ie, response of agree or somewhat agree) for the statements ranged from to 97% to 100%. Conclusion Concussions are characterized by diverse symptoms and impairments and evolving clinical profiles; recovery varies on the basis of modifying factors, injury severity, and treatments. Active and targeted treatments may enhance recovery after concussion. Research is needed on concussion clinical profiles, biomarkers, and the effectiveness and timing of treatments. Abbreviations ARS, audience response systemCDC, Centers for Disease Control and PreventionDoD, Department of DefensemTBI, mild traumatic brain injuryNCAA, National Collegiate Athletic AssociationNFL, National Football LeagueNIH, National Institutes of HealthRCT, randomized controlled trialRTP, return to playSRC, sport- and recreation-related concussionTBI, traumatic brain injuryTEAM, Targeted Evaluation and Active Management.

David Infield - One of the best experts on this subject based on the ideXlab platform.

  • maximising revenue for non firm distributed wind generation with energy storage in an Active Management scheme
    Iet Renewable Power Generation, 2013
    Co-Authors: Simon Gill, Edward Barbour, I Grant A Wilson, David Infield
    Abstract:

    The connection of high penetrations of renewable generation such as wind to distribution networks requires new Active Management techniques. Curtailing distributed generation during periods of network congestion allows for a higher penetration of distributed wind to connect, however, it reduces the potential revenue from these wind turbines. Energy storage can be used to alleviate this and the store can also be used to carry out other tasks such as trading on an electricity spot market, a mode of operation known as arbitrage. The combination of available revenue streams is crucial in the financial viability of energy storage. This study presents a heuristic algorithm for the optimisation of revenue generated by an energy storage unit working with two revenue streams: generation-curtailment reduction and arbitrage. The algorithm is used to demonstrate the ability of storage to generate revenue and to reduce generation curtailment for two case study networks. Studies carried out include a single wind farm and multiple wind farms connected under a ‘last-in-first-out’ principle of access. The results clearly show that storage using both operating modes increases revenue over either mode individually. Moreover, energy storage is shown to be effective at reducing curtailment while increasing the utilisation of circuits linking the distribution and transmission networks. Finally, renewable subsidies are considered as a potential third revenue stream. It is interesting to note that under current market agreements such subsidies have the potential to perversely encourage the installation of inefficient storage technologies, because of increased losses facilitating greater “utilisation” of renewable generation.

Jietan Zhang - One of the best experts on this subject based on the ideXlab platform.

  • planning for distributed wind generation under Active Management mode
    International Journal of Electrical Power & Energy Systems, 2013
    Co-Authors: Jietan Zhang, Hong Fan, Wenting Tang, Maochun Wang, Haozhong Cheng, Liangzhong Yao
    Abstract:

    Abstract In the smart grid (SG), the Active Management (AM) mode will be applied for the connection and operation of distributed generation (DG), which means real time control and Management of DG units and distribution network devices based on real time measurements of primary system parameters. In this paper, a novel bi-level programming model for distributed wind generation (DWG) planning under AM mode is put forward. The model takes the maximum expectation of net benefit of DWG as the upper level program objective, and takes the minimum expectation of generation curtailment as the lower level program objective. The impact of Active Management algorithm on improvement of branch power flow and node voltage is taken into account. A hybrid algorithm combining the plant growth simulation algorithm (PGSA) with probabilistic optimal power flow (POPF) algorithm is presented to solve the optimal planning of DWG under AM mode. The case studies have been carried out on a 33-node distribution network, and the results verify the rationality of the planning model and the effectiveness of the proposed method.

  • technical and economic impacts of Active Management on distribution network
    International Journal of Electrical Power & Energy Systems, 2009
    Co-Authors: Jietan Zhang, Haozhong Cheng, Chun Wang
    Abstract:

    Abstract With the deregulation of energy market and the appeal for environment protection, more and more distributed generation (DG) is embedded in the distribution network. However the approach of connecting DG in most cases is based on a so-called “fit and forget” policy and the capacity of DG is limited rigidly by distribution network operator (DNO) to avoid the negative effects of high level penetration. Therefore Active Management (AM) is put forward as an effective method to network reinforcement for the connection and operation of DG. In this paper, the concept and principle of AM are introduced, and several indices are proposed to evaluate both technical and economic impacts of AM on distribution network with DG. To simplify the simulation fuzzy C-means clustering (FCM) algorithm is introduced. The test results on a sample system represent that AM will lead to decrease of power generation of DG, but it can reduce energy losses and improve voltage profile effectively. Furthermore, AM will take great economic incentives to DG developer as well as DNO with reasonable policy.