Energy management integrated volt var optimization for distribution systems with SVR, PV inverter, and BESS: a case study in distribution system of Elazığ/Turkey

Bektaş E., BAYINDIR K. Ç., Terciyanlı A., Aydın R. A., Baykal Ş., Yılmaz H.

Electrical Engineering, vol.105, no.2, pp.663-680, 2023 (SCI-Expanded, Scopus) identifier identifier

  • Publication Type: Article / Article
  • Volume: 105 Issue: 2
  • Publication Date: 2023
  • Doi Number: 10.1007/s00202-022-01690-6
  • Journal Name: Electrical Engineering
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Compendex, INSPEC, DIALNET
  • Page Numbers: pp.663-680
  • Keywords: Energy management system (EMS), MATPOWER, Microgrid (MG), Mixed integer linear programming (MILP), Optimum power flow, Volt-var optimization (VVO)
  • Ankara Yıldırım Beyazıt University Affiliated: Yes

Abstract

© 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.Recently, many technical challenges, such as overvoltage problems, reverse power flow, and grid instability, have occurred in Distribution Networks (DNs) because of the rising penetration of photovoltaic (PV) plants on the rooftop of houses. This study focuses on (1) the development of volt–var control methods employing static voltage regulator (SVR) and PV inverter combinations, (2) the development of Energy Management integrated volt–var optimization (VVO) employing SVR, PV inverter, and Battery Energy Storage System (BESS) as a solution to mentioned problems. Elazığ DN is selected for the comprehensive analysis of the problems. Elazığ DN is modeled in MATPOWER, and the over-voltage problem is demonstrated using field measurements. Specific VVO algorithms are developed and implemented in MATPOWER. Performances are evaluated as Case studies. Results have demonstrated that only SVR can regulate the voltage of Buses at the LV level. However, line losses improvement is not satisfactory. Only PV inverter has a disadvantage on active line losses improvement. SVR + PV has improved performance with the proposed VVO method. However, SVR + PV + BESS offers self-sufficient microgrid (MG). Moreover, the proposed Energy Management integrated VVO algorithm with hourly updated daily data is given in detail. A comparison of all cases is realized by considering voltage regulation, line losses minimization, system stability, and costs.