Tri-level robust planning-operation co-optimization of distributed energy storage in distribution networks with high PV penetration
Bo Zhao,
Junzhi Ren,
Jian Chen,
Da Lin and
Ruwen Qin
Applied Energy, 2020, vol. 279, issue C, No S030626192031254X
Abstract:
High penetrations of photovoltaic (PV) in distributed networks lead to negative impacts such as voltage violations, which is getting worse when large-scale distributed PV systems come into picture. Due to deficiencies involved in traditional voltage regulation devices (TVRDs), energy storage systems, especially the distributed energy storage (DES) systems, are introduced to handle this problem. Majority challenges in planning and operating DES come from uncertainties involved in generation sources and loads, which dims the benefits from energy storage systems. This paper presents a novel tri-level robust planning-operation co-optimization model to determine the capacity, power, location and scheduling strategy of DES. A tri-level decomposition algorithm, which is composed of security-operation and optimal-dispatch cutting planes, is introduced to solve the non-convex min-max-min optimization problem. Case studies and sensitivity analyses further verify the proposed methodology and demonstrate its effectiveness.
Keywords: Energy storage; Uncertainty; Robust planning-operation co-optimization; Tri-level decomposition; Voltage violation (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (24)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030626192031254X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:279:y:2020:i:c:s030626192031254x
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2020.115768
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().