Next Article in Journal
Performance Study of a Cylindrical Parabolic Concentrating Solar Water Heater with Nail Type Twisted Tape Inserts in the Copper Absorber Tube
Previous Article in Journal
Steam Gasification of Sawdust Biochar Influenced by Chemical Speciation of Alkali and Alkaline Earth Metallic Species
Open AccessArticle

Robust Power Supply Restoration for Self-Healing Active Distribution Networks Considering the Availability of Distributed Generation

1
College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
2
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Baoding 071003, China
*
Author to whom correspondence should be addressed.
Energies 2018, 11(1), 210; https://doi.org/10.3390/en11010210
Received: 5 December 2017 / Revised: 20 December 2017 / Accepted: 15 January 2018 / Published: 15 January 2018
(This article belongs to the Section Electrical Power and Energy System)
The increasing penetration of distributed generations (DGs) with intermittent and stochastic characteristics into current power distribution networks can lead to increased fault levels and degradation in network protection. As one of the key requirements of active network management (ANM), efficient power supply restoration solution to guarantee network self-healing capability with full consideration of DG uncertainties is demanded. This paper presents a joint power supply restoration through combining the DG local restoration and switcher operation-based restoration to enhance the self-healing capability in active distribution networks considering the availability of distributed generation. The restoration algorithmic solution is designed to be able to carry out power restoration in parallel upon multiple simultaneous faults to maximize the load restoration while additionally minimizing power loss, topology variation and power flow changes due to switcher operations. The performance of the proposed solution is validated based on a 53-bus distribution network with wind power generators through extensive simulation experiments for a range of fault cases and DG scenarios generated based on Heuristic Moment Matching (HMM) method to fully consider the DG randomness. The numerical result in comparison with the existing solutions demonstrates the effectiveness of the proposed power supply restoration solution. View Full-Text
Keywords: DG local restoration; parallel restoration; power loss; adverse impact; robustness; Heuristic Moment Matching (HMM) DG local restoration; parallel restoration; power loss; adverse impact; robustness; Heuristic Moment Matching (HMM)
Show Figures

Figure 1

MDPI and ACS Style

Yang, Q.; Jiang, L.; Ehsan, A.; Gao, Y.; Guo, S. Robust Power Supply Restoration for Self-Healing Active Distribution Networks Considering the Availability of Distributed Generation. Energies 2018, 11, 210.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map

1
Back to TopTop