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

Journal Article · · Sustainability (Basel)
DOI:https://doi.org/10.3390/su10020318· OSTI ID:1423191
ORCiD logo [1];  [1];  [1];  [1];  [2];  [3]
  1. Wuhan Univ. (China). School of Electrical Engineering
  2. Univ. of Denver, CO (United States). Dept. of Electrical and Computer Engineering
  3. National Renewable Energy Lab. (NREL), Golden, CO (United States)

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.

Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE); Natural Science Foundation of China (NSFC), Beijing (China); State Grid Corporation of China, Beijing (China)
Grant/Contract Number:
AC36-08GO28308; 51507116
OSTI ID:
1423191
Report Number(s):
NREL/JA-5D00-71008; SUSTDE
Journal Information:
Sustainability (Basel), Vol. 10, Issue 2; ISSN 2071-1050
Publisher:
MDPICopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 18 works
Citation information provided by
Web of Science

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