Optimal placement of energy storage devices for loss reduction in distribution networks

2013 ◽  
Author(s):  
M. Farrokhifar ◽  
S. Grillo ◽  
E. Tironi
Keyword(s):  
Energy Storage ◽  
Distribution Networks ◽  
Optimal Placement ◽  
Loss Reduction ◽  
Energy Storage Devices ◽  
Storage Devices

scholarly journals Optimal Energy Storage System Positioning and Sizing with Robust Optimization

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 512 ◽  
Author(s):  
Nayeem Chowdhury ◽  
Fabrizio Pilo ◽  
Giuditta Pisano
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Robust Optimization ◽  
Distribution Systems ◽  
Optimal Power Flow ◽  
Distributed Storage ◽  
Distribution Networks ◽  
Fine Tuning ◽  
Optimal Placement ◽  
Storage Devices

Energy storage systems can improve the uncertainty and variability related to renewable energy sources such as wind and solar create in power systems. Aside from applications such as frequency regulation, time-based arbitrage, or the provision of the reserve, where the placement of storage devices is not particularly significant, distributed storage could also be used to improve congestions in the distribution networks. In such cases, the optimal placement of this distributed storage is vital for making a cost-effective investment. Furthermore, the now reached massive spread of distributed renewable energy resources in distribution systems, intrinsically uncertain and non-programmable, together with the new trends in the electric demand, often unpredictable, require a paradigm change in grid planning for properly lead with the uncertainty sources and the distribution system operators (DSO) should learn to support such change. This paper considers the DSO perspective by proposing a methodology for energy storage placement in the distribution networks in which robust optimization accommodates system uncertainty. The proposed method calls for the use of a multi-period convex AC-optimal power flow (AC-OPF), ensuring a reliable planning solution. Wind, photovoltaic (PV), and load uncertainties are modeled as symmetric and bounded variables with the flexibility to modulate the robustness of the model. A case study based on real distribution network information allows the illustration and discussion of the properties of the model. An important observation is that the method enables the system operator to integrate energy storage devices by fine-tuning the level of robustness it willing to consider, and that is incremental with the level of protection. However, the algorithm grows more complex as the system robustness increases and, thus, it requires higher computational effort.

scholarly journals Optimal Operation of Distribution Networks Considering Energy Storage Devices

2015 ◽  
Vol 6 (6) ◽  
pp. 2825-2836 ◽  
Author(s):  
Leonardo H. Macedo ◽  
John F. Franco ◽  
Marcos J. Rider ◽  
Ruben Romero
Keyword(s):  
Energy Storage ◽  
Distribution Networks ◽  
Optimal Operation ◽  
Energy Storage Devices ◽  
Storage Devices

An aqueous hybrid electrolyte for low-temperature zinc-based energy storage devices

2020 ◽  
Vol 13 (10) ◽  
pp. 3527-3535 ◽  
Author(s):  
Nana Chang ◽  
Tianyu Li ◽  
Rui Li ◽  
Shengnan Wang ◽  
Yanbin Yin ◽  
...  
Keyword(s):  
Energy Storage ◽  
Low Temperature ◽  
Energy Storage Devices ◽  
Storage Devices

A frigostable aqueous hybrid electrolyte enabled by the solvation interaction of Zn2+–EG is proposed for low-temperature zinc-based energy storage devices.

Ultrathin Carbon Nanosheets for Highly-efficient Capacitive K-ion and Zn-ion Storage

2020 ◽  
Author(s):  
Yamin Zhang ◽  
Zhongpu Wang ◽  
Deping Li ◽  
Qing Sun ◽  
Kangrong Lai ◽  
...  
Keyword(s):  
Energy Storage ◽  
Porous Carbon ◽  
Metal Ion ◽  
Rate Capability ◽  
Energy Storage Devices ◽  
Capacity Retention ◽  
Carbon Nanosheets ◽  
Storage Devices ◽  
High Efficient ◽  
Ion Storage

<p></p><p>Porous carbon has attracted extensive attentions as the electrode material for various energy storage devices considering its advantages like high theoretical capacitance/capacity, high conductivity, low cost and earth abundant inherence. However, there still exists some disadvantages limiting its further applications, such as the tedious fabrication process, limited metal-ion transport kinetics and undesired structure deformation at harsh electrochemical conditions. Herein, we report a facile strategy, with calcium gluconate firstly reported as the carbon source, to fabricate ultrathin porous carbon nanosheets. <a>The as-prepared Ca-900 electrode delivers excellent K-ion storage performance including high reversible capacity (430.7 mAh g<sup>-1</sup>), superior rate capability (154.8 mAh g<sup>-1</sup> at an ultrahigh current density of 5.0 A g<sup>-1</sup>) and ultra-stable long-term cycling stability (a high capacity retention ratio of ~81.2% after 4000 cycles at 1.0 A g<sup>-1</sup>). </a>Similarly, when being applied in Zn-ion capacitors, the Ca-900 electrode also exhibits an ultra-stable cycling performance with ~90.9% capacity retention after 4000 cycles at 1.0 A g<sup>-1</sup>, illuminating the applicable potentials. Moreover, the origin of the fast and smooth metal-ion storage is also revealed by carefully designed consecutive CV measurements. Overall, considering the facile preparation strategy, unique structure, application flexibility and in-depth mechanism investigations, this work will deepen the fundamental understandings and boost the commercialization of high-efficient energy storage devices like potassium-ion/sodium-ion batteries, zinc-ion batteries/capacitors and aluminum-ion batteries.</p><br><p></p>

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