Next Article in Journal
Risk-Based Bi-Level Model for Simultaneous Profit Maximization of a Smart Distribution Company and Electric Vehicle Parking Lot Owner
Next Article in Special Issue
Grid-Tied Photovoltaic and Battery Storage Systems with Malaysian Electricity Tariff—A Review on Maximum Demand Shaving
Previous Article in Journal
Human Thermal Comfort and Heat Removal Efficiency for Ventilation Variants in Passenger Cars
Previous Article in Special Issue
Constant Power Loads (CPL) with Microgrids: Problem Definition, Stability Analysis and Compensation Techniques
Article Menu
Issue 11 (November) cover image

Export Article

Open AccessReview
Energies 2017, 10(11), 1715; doi:10.3390/en10111715

A Review of Optimal Planning Active Distribution System: Models, Methods, and Future Researches

1,2,* , 1,2
,
3
,
1,2
and
1,2
1
National Active Distribution Network Technology Research Center (NANTEC), Beijing JiaoTong University, Beijing 100044, China
2
Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing 100081, China
3
Department of Energy Technology, Aalborg University, DK9220 Aalborg, Denmark
*
Author to whom correspondence should be addressed.
Received: 24 August 2017 / Revised: 23 October 2017 / Accepted: 24 October 2017 / Published: 26 October 2017
(This article belongs to the Special Issue Innovative Methods for Smart Grids Planning and Management)
View Full-Text   |   Download PDF [4473 KB, uploaded 27 October 2017]   |  

Abstract

Due to the widespread deployment of distributed energy resources (DERs) and the liberalization of electricity market, traditional distribution networks are undergoing a transition to active distribution systems (ADSs), and the traditional deterministic planning methods have become unsuitable under the high penetration of DERs. Aiming to develop appropriate models and methodologies for the planning of ADSs, the key features of ADS planning problem are analyzed from the different perspectives, such as the allocation of DGs and ESS, coupling of operation and planning, and high-level uncertainties. Based on these analyses, this comprehensive literature review summarizes the latest research and development associated with ADS planning. The planning models and methods proposed in these research works are analyzed and categorized from different perspectives including objectives, decision variables, constraint conditions, and solving algorithms. The key theoretical issues and challenges of ADS planning are extracted and discussed. Meanwhile, emphasis is also given to the suitable suggestions to deal with these abovementioned issues based on the available literature and comparisons between them. Finally, several important research prospects are recommended for further research in ADS planning field, such as planning with multiple micro-grids (MGs), collaborative planning between ADSs and information communication system (ICS), and planning from different perspectives of multi-stakeholders. View Full-Text
Keywords: distributed energy resources; planning model; active distribution system; distribution network planning; optimization program distributed energy resources; planning model; active distribution system; distribution network planning; optimization program
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Li, R.; Wang, W.; Chen, Z.; Jiang, J.; Zhang, W. A Review of Optimal Planning Active Distribution System: Models, Methods, and Future Researches. Energies 2017, 10, 1715.

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.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top