Implementation of cost benefit analysis of vehicle to grid coupled real Micro-Grid by considering battery energy wear: Practical study case

Koubaa R., Yoldas Y., GÖREN S., Krichen L., ÖNEN A.

ENERGY & ENVIRONMENT, cilt.32, sa.7, ss.1292-1314, 2021 (SSCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 32 Sayı: 7
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1177/0958305x20965158
  • Dergi Adı: ENERGY & ENVIRONMENT
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, PASCAL, Aerospace Database, Communication Abstracts, Compendex, Environment Index, Geobase, Greenfile, INSPEC, Metadex, Pollution Abstracts, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.1292-1314
  • Anahtar Kelimeler: Micro-grid, electric vehicle, operation cost, vehicle to grid, battery wear, ELECTRIC VEHICLES, PHOTOVOLTAIC POWER, STORAGE, INTEGRATION, GENERATION, SCALE, DEGRADATION, TECHNOLOGY, MANAGEMENT, OPTIMIZATION
  • Kayseri Üniversitesi Adresli: Hayır

Özet

The proposed research represents a spin-off of the Malta College of Arts, Science and Technology (MCAST) Micro-Grid (MG) project. Particularly, economic impact of Electric Vehicles (EV) integration into the MG is investigated in this paper. The MCAST MG consists of photovoltaic generation unit, a diesel generator and a battery storage system. In this paper, a Vehicle-to grid (V2G) concept is considered where utilities can profit from controlled energy trading operations according to EVs availability. EVs are categorized under different profiles considering energy and time availability of owners typical work hours. V2G energy cost is estimated based on battery energy wear due V2G extra cycling and refunded to EVs owners. As most of developed V2G studies don't consider real world input data or/and EV battery aging cost in system modeling and evaluation, the present paper presents a reliable study as it considers a real life MG with in field measurement input data and appropriate battery degradation model. The adopted model represents a linear approximation with a minimum error value to make a suitable tradeoff of computational complexity and accuracy of obtained results. Economic assessment of the system according to the proposed energy management is performed, where results indicate that the V2G system assisted the MG operation during high electricity price period and achieved economic profit to EVs owners. According to numerical results, V2G energy trading achieved 29.90 EUR of gross selling revenues with only 4.46 EUR as battery degradation cost which makes a 16.41% average cost reduction of daily MG operation cost.