Conference paper Open Access

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


JSON Export

{
  "files": [
    {
      "links": {
        "self": "https://zenodo.org/api/files/7c7b87a1-a4cf-4dd8-be48-25a170837082/paper_ECOS_CERTH_preprints.pdf"
      }, 
      "checksum": "md5:b5253fd2eda667651e72c248dd67b93a", 
      "bucket": "7c7b87a1-a4cf-4dd8-be48-25a170837082", 
      "key": "paper_ECOS_CERTH_preprints.pdf", 
      "type": "pdf", 
      "size": 765882
    }
  ], 
  "owners": [
    59429
  ], 
  "doi": "10.5281/zenodo.2552035", 
  "stats": {
    "version_unique_downloads": 62.0, 
    "unique_views": 66.0, 
    "views": 85.0, 
    "version_views": 85.0, 
    "unique_downloads": 62.0, 
    "version_unique_views": 66.0, 
    "volume": 54377622.0, 
    "version_downloads": 71.0, 
    "downloads": 71.0, 
    "version_volume": 54377622.0
  }, 
  "links": {
    "doi": "https://doi.org/10.5281/zenodo.2552035", 
    "conceptdoi": "https://doi.org/10.5281/zenodo.2552034", 
    "bucket": "https://zenodo.org/api/files/7c7b87a1-a4cf-4dd8-be48-25a170837082", 
    "conceptbadge": "https://zenodo.org/badge/doi/10.5281/zenodo.2552034.svg", 
    "html": "https://zenodo.org/record/2552035", 
    "latest_html": "https://zenodo.org/record/2552035", 
    "badge": "https://zenodo.org/badge/doi/10.5281/zenodo.2552035.svg", 
    "latest": "https://zenodo.org/api/records/2552035"
  }, 
  "conceptdoi": "10.5281/zenodo.2552034", 
  "created": "2019-01-29T08:20:05.221304+00:00", 
  "updated": "2020-01-20T16:57:55.723984+00:00", 
  "conceptrecid": "2552034", 
  "revision": 4, 
  "id": 2552035, 
  "metadata": {
    "access_right_category": "success", 
    "doi": "10.5281/zenodo.2552035", 
    "description": "<p>Modern isolated power grids are constantly evolving to adopt smart grid concepts that can permit higher<br>\nrenewable energy penetration and energy management optimization, in the view of a sustainable RES based<br>\nenergy production EU policy with reduced pollutant emissions. Nevertheless, many islandic power systems<br>\nlike the islands in Southern Europe are still depending on oil-fired diesel engines, while the renewable energy<br>\nproduction is limited due to financial, technical and environmental reasons. In this study, the power system of<br>\na typical non-interconnected South European island consisting of diesel generators and a PV farm is modelled<br>\nand simulated. Scope of this paper is to examine the ability of a Battery Energy Storage System (BESS) to<br>\nachieve load peak shaving combined with maximization of the PV power penetration into the grid leading to<br>\npre-planned zero curtailment. For this purpose, a novel peak shaving algorithm is developed and implemented<br>\ninto an Energy Management System (EMS), for optimal scheduling of the diesel engines. Thereinafter,<br>\ndynamic simulations of the island&rsquo;s power system are carried out employing a predictive control strategy for<br>\ndifferent time scales, ranging from a supervisor BESS controller based on load forecasting, to a real-time<br>\nbattery power regulation. The predictive BESS controller is based on future consumption values forecasting,<br>\nwhich in turn result from an Artificial Neural Network (ANN) and an optimization procedure taking into account<br>\nPV power generation and a peak shaving threshold. Thus, a new diesel engine scheduling is obtained capable<br>\nof replacing the maximum peak power demand with renewable power while at the same time load curve<br>\nsmoothening and reduced diesel generators ramps-up are achieved. The simulations are executed in APROS<br>\n(Advanced Process Simulator) dynamic simulation platform, using built-in components for the BESS modelling,<br>\nan external model for load forecasting and a user-developed EMS structure.</p>", 
    "language": "eng", 
    "title": "Modelling and simulation of a predictive BESS controller based on load forecasting in a South European island power system", 
    "license": {
      "id": "CC-BY-4.0"
    }, 
    "relations": {
      "version": [
        {
          "count": 1, 
          "index": 0, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "2552034"
          }, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "2552035"
          }
        }
      ]
    }, 
    "grants": [
      {
        "code": "731249", 
        "links": {
          "self": "https://zenodo.org/api/grants/10.13039/501100000780::731249"
        }, 
        "title": "SMart IsLand Energy systems", 
        "acronym": "SMILE", 
        "program": "H2020", 
        "funder": {
          "doi": "10.13039/501100000780", 
          "acronyms": [], 
          "name": "European Commission", 
          "links": {
            "self": "https://zenodo.org/api/funders/10.13039/501100000780"
          }
        }
      }
    ], 
    "keywords": [
      "Artificial Neural Networks", 
      "Battery Energy Storage System", 
      "Energy Management System", 
      "Load Forecast", 
      "Peak Shaving", 
      "Renewable Energy"
    ], 
    "publication_date": "2018-06-20", 
    "creators": [
      {
        "affiliation": "Centre for Research & Technology Hellas /Chemical Process and Energy Resources Institute, 6th km. Charilaou-Thermis, GR 57001 Thermi, Greece", 
        "name": "Chapaloglou, Spyridon"
      }, 
      {
        "affiliation": "Centre for Research & Technology Hellas /Chemical Process and Energy Resources Institute, 6th km. Charilaou-Thermis, GR 57001 Thermi, Greece", 
        "name": "Nesiadis, Athanasios"
      }, 
      {
        "affiliation": "Centre for Research & Technology Hellas /Chemical Process and Energy Resources Institute, 6th km. Charilaou-Thermis, GR 57001 Thermi, Greece", 
        "name": "Atsonios, Konstantinos"
      }, 
      {
        "affiliation": "Centre for Research & Technology Hellas /Chemical Process and Energy Resources Institute, 6th km. Charilaou-Thermis, GR 57001 Thermi, Greece", 
        "name": "Nikolopoulos, Nikos"
      }, 
      {
        "affiliation": "Centre for Research & Technology Hellas /Chemical Process and Energy Resources Institute, 6th km. Charilaou-Thermis, GR 57001 Thermi, Greece", 
        "name": "Grammelis, Panagiotis"
      }, 
      {
        "affiliation": "Centre for Research & Technology Hellas /Chemical Process and Energy Resources Institute, 6th km. Charilaou-Thermis, GR 57001 Thermi, Greece", 
        "name": "Kakaras, Emmanuel"
      }
    ], 
    "access_right": "open", 
    "resource_type": {
      "subtype": "conferencepaper", 
      "type": "publication", 
      "title": "Conference paper"
    }, 
    "related_identifiers": [
      {
        "scheme": "doi", 
        "identifier": "10.5281/zenodo.2552034", 
        "relation": "isVersionOf"
      }
    ]
  }
}
85
71
views
downloads
All versions This version
Views 8585
Downloads 7171
Data volume 54.4 MB54.4 MB
Unique views 6666
Unique downloads 6262

Share

Cite as