Optimal Power Scheduling for a Medium Voltage AC/DC Hybrid Distribution Network

Huaiguang Jiang, Zhenshan Zhu, Dichen Liu, Qingfen Liao, Fei Tang, Jun Zhang

Research output: Contribution to journalArticlepeer-review

30 Scopus Citations

Abstract

With the great increase of renewable generation as well as the DC loads in the distribution network; DC distribution technology is receiving more attention; since the DC distribution network can improve operating efficiency and power quality by reducing the energy conversion stages. This paper presents a new architecture for the medium voltage AC/DC hybrid distribution network; where the AC and DC subgrids are looped by normally closed AC soft open point (ACSOP) and DC soft open point (DCSOP); respectively. The proposed AC/DC hybrid distribution systems contain renewable generation (i.e., wind power and photovoltaic (PV) generation); energy storage systems (ESSs); soft open points (SOPs); and both AC and DC flexible demands. An energy management strategy for the hybrid system is presented based on the dynamic optimal power flow (DOPF) method. The main objective of the proposed power scheduling strategy is to minimize the operating cost and reduce the curtailment of renewable generation while meeting operational and technical constraints. The proposed approach is verified in five scenarios. The five scenarios are classified as pure AC system; hybrid AC/DC system; hybrid system with interlinking converter; hybrid system with DC flexible demand; and hybrid system with SOPs. Results show that the proposed scheduling method can successfully dispatch the controllable elements; and that the presented architecture for the AC/DC hybrid distribution system is beneficial for reducing operating cost and renewable generation curtailment.
Original languageAmerican English
Number of pages22
JournalSustainability
Volume10
Issue number2
DOIs
StatePublished - 2018

NREL Publication Number

  • NREL/JA-5D00-71008

Keywords

  • distribution network
  • dynamic optimal power flow
  • flexible demand
  • renewable energy
  • soft open point

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