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Modelling and simulation of a predictive BESS controller based on load forecasting in a South European island power system

Chapaloglou, Spyridon; Nesiadis, Athanasios; Atsonios, Konstantinos; Nikolopoulos, Nikos; Grammelis, Panagiotis; Kakaras, Emmanuel


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  <identifier identifierType="DOI">10.5281/zenodo.2552035</identifier>
  <creators>
    <creator>
      <creatorName>Chapaloglou, Spyridon</creatorName>
      <givenName>Spyridon</givenName>
      <familyName>Chapaloglou</familyName>
      <affiliation>Centre for Research &amp; Technology Hellas /Chemical Process and Energy Resources Institute, 6th km. Charilaou-Thermis, GR 57001 Thermi, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>Nesiadis, Athanasios</creatorName>
      <givenName>Athanasios</givenName>
      <familyName>Nesiadis</familyName>
      <affiliation>Centre for Research &amp; Technology Hellas /Chemical Process and Energy Resources Institute, 6th km. Charilaou-Thermis, GR 57001 Thermi, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>Atsonios, Konstantinos</creatorName>
      <givenName>Konstantinos</givenName>
      <familyName>Atsonios</familyName>
      <affiliation>Centre for Research &amp; Technology Hellas /Chemical Process and Energy Resources Institute, 6th km. Charilaou-Thermis, GR 57001 Thermi, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>Nikolopoulos, Nikos</creatorName>
      <givenName>Nikos</givenName>
      <familyName>Nikolopoulos</familyName>
      <affiliation>Centre for Research &amp; Technology Hellas /Chemical Process and Energy Resources Institute, 6th km. Charilaou-Thermis, GR 57001 Thermi, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>Grammelis, Panagiotis</creatorName>
      <givenName>Panagiotis</givenName>
      <familyName>Grammelis</familyName>
      <affiliation>Centre for Research &amp; Technology Hellas /Chemical Process and Energy Resources Institute, 6th km. Charilaou-Thermis, GR 57001 Thermi, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>Kakaras, Emmanuel</creatorName>
      <givenName>Emmanuel</givenName>
      <familyName>Kakaras</familyName>
      <affiliation>Centre for Research &amp; Technology Hellas /Chemical Process and Energy Resources Institute, 6th km. Charilaou-Thermis, GR 57001 Thermi, Greece</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Modelling and simulation of a predictive BESS controller based on load forecasting in a South European island power system</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <subjects>
    <subject>Artificial Neural Networks</subject>
    <subject>Battery Energy Storage System</subject>
    <subject>Energy Management System</subject>
    <subject>Load Forecast</subject>
    <subject>Peak Shaving</subject>
    <subject>Renewable Energy</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2018-06-20</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2552035</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2552034</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Modern isolated power grids are constantly evolving to adopt smart grid concepts that can permit higher&lt;br&gt;
renewable energy penetration and energy management optimization, in the view of a sustainable RES based&lt;br&gt;
energy production EU policy with reduced pollutant emissions. Nevertheless, many islandic power systems&lt;br&gt;
like the islands in Southern Europe are still depending on oil-fired diesel engines, while the renewable energy&lt;br&gt;
production is limited due to financial, technical and environmental reasons. In this study, the power system of&lt;br&gt;
a typical non-interconnected South European island consisting of diesel generators and a PV farm is modelled&lt;br&gt;
and simulated. Scope of this paper is to examine the ability of a Battery Energy Storage System (BESS) to&lt;br&gt;
achieve load peak shaving combined with maximization of the PV power penetration into the grid leading to&lt;br&gt;
pre-planned zero curtailment. For this purpose, a novel peak shaving algorithm is developed and implemented&lt;br&gt;
into an Energy Management System (EMS), for optimal scheduling of the diesel engines. Thereinafter,&lt;br&gt;
dynamic simulations of the island&amp;rsquo;s power system are carried out employing a predictive control strategy for&lt;br&gt;
different time scales, ranging from a supervisor BESS controller based on load forecasting, to a real-time&lt;br&gt;
battery power regulation. The predictive BESS controller is based on future consumption values forecasting,&lt;br&gt;
which in turn result from an Artificial Neural Network (ANN) and an optimization procedure taking into account&lt;br&gt;
PV power generation and a peak shaving threshold. Thus, a new diesel engine scheduling is obtained capable&lt;br&gt;
of replacing the maximum peak power demand with renewable power while at the same time load curve&lt;br&gt;
smoothening and reduced diesel generators ramps-up are achieved. The simulations are executed in APROS&lt;br&gt;
(Advanced Process Simulator) dynamic simulation platform, using built-in components for the BESS modelling,&lt;br&gt;
an external model for load forecasting and a user-developed EMS structure.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/731249/">731249</awardNumber>
      <awardTitle>SMart IsLand Energy systems</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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