Conference paper Open Access

Aggregation model for curtailable generation and sheddable loads

Marthinsen, Håkon; Z. Morch, Andrei; Plećaš, Milana; Kockar, Ivana; Džamarija, Mario

DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="" xmlns="" xsi:schemaLocation="">
  <identifier identifierType="URL"></identifier>
      <creatorName>Marthinsen, Håkon</creatorName>
      <creatorName>Z. Morch, Andrei</creatorName>
      <familyName>Z. Morch</familyName>
      <creatorName>Plećaš, Milana</creatorName>
      <affiliation>University of Strathclyde</affiliation>
      <creatorName>Kockar, Ivana</creatorName>
      <affiliation>University of Strathclyde</affiliation>
      <creatorName>Džamarija, Mario</creatorName>
    <title>Aggregation model for curtailable generation and sheddable loads</title>
    <subject>load management; load shedding; power markets; power generation economics</subject>
    <date dateType="Issued">2017-10-01</date>
  <resourceType resourceTypeGeneral="ConferencePaper"/>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1049/oap-cired.2017.0994</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf"></relatedIdentifier>
    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;This study shows modelling developed during the first year of the SmartNet project. In particular, it presents a mathematical model for aggregation of curtailable generation and sheddable loads. The model determines the quantity and the cost of the flexibility provided by the flexible resources based on their physical and dynamic behaviours. The model also proposes a bidding strategy in order to translate the aggregated behaviour into market bids.&lt;/p&gt;</description>
    <description descriptionType="Other">{"references": ["G. Migliavacca , M. Rossi , D. Six . Migliavacca, G., Rossi, M., Six, D., et al: 'SmartNet: a H2020 project analysing TSO-DSO interaction to enable ancillary services provision from distribution networks'. CIRED, Glasgow, 2017. CIRED", "H.K. Jacobsen , S.T. Schr\u00f6der . Jacobsen, H.K., Schr\u00f6der, S.T.: 'Curtailment of renewable generation: economic optimality and incentives', Energy Policy, 2012, 49, pp. 663\u2013675 (doi: 10.1016/j.enpol.2012.07.004). . Energy Policy , 663 - 675", "EWEA Large-Scale Integration Working Group: 'EWEA position paper on priority dispatch of wind power', 2014.", "M. Juelsgaard , J. Bendtsen , R. Wisniewski . Juelsgaard, M., Bendtsen, J., Wisniewski, R.: 'Utilization of wind turbines for upregulation of power grids', IEEE Trans. Ind. Electron., 2013, 60, (7), pp. 2851\u20132863 (doi: 10.1109/TIE.2012.2225395). . IEEE Trans. Ind. Electron. , 7 , 2851 - 2863", "A. Fontaine , B. Caetano . Fontaine, A., Caetano, B., et al: 'Developments affecting the design of long-term markets', Market4RES Project, Deliverable D3.1, 2015.", "B. Le , J. Andrews . Le, B., Andrews, J.: 'Modelling wind turbine degradation and maintenance', Wind Energy, 2016, 19, pp. 571\u2013591 (doi: 10.1002/we.1851). . Wind Energy , 571 - 591", "Gonzalez Vaya M. . Vaya M., Gonzalez: 'Optimizing the electricity demand of electric vehicles: creating value through flexibility'. PhD thesis, ETH Zurich, 2015."]}</description>
Views 171
Downloads 145
Data volume 32.1 MB
Unique views 164
Unique downloads 136


Cite as