scholarly journals Optimal energy saving in DC railway system with on-board energy storage system by using peak demand cutting strategy

2017 ◽  
Vol 25 (4) ◽  
pp. 223-235 ◽  
Author(s):  
Chaiyut Sumpavakup ◽  
Tosaphol Ratniyomchai ◽  
Thanatchai Kulworawanichpong
Keyword(s):  
Energy Storage ◽  
Energy Saving ◽  
Storage System ◽  
Energy Storage System ◽  
Peak Demand ◽  
Optimal Energy ◽  
Railway System ◽  
Cutting Strategy

Peak Demand Cutting Strategy with an On-Board Energy Storage System in Mass Rapid Transit

2018 ◽  
Vol 42 (1) ◽  
pp. 49-62 ◽  
Author(s):  
Chaiyut Sumpavakup ◽  
Sujin Suwannakijborihan ◽  
Tosaphol Ratniyomchai ◽  
Thanatchai Kulworawanichpong
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Rapid Transit ◽  
Peak Demand ◽  
Cutting Strategy ◽  
Mass Rapid Transit

Optimal Energy Storage System-Based Virtual Inertia Placement: A Frequency Stability Point of View

2020 ◽  
Vol 35 (6) ◽  
pp. 4824-4835 ◽  
Author(s):  
Hemin Golpira ◽  
Azin Atarodi ◽  
Shiva Amini ◽  
Arturo Roman Messina ◽  
Bruno Francois ◽  
...  
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Frequency Stability ◽  
Point Of View ◽  
Optimal Energy ◽  
Stability Point ◽  
Virtual Inertia

scholarly journals Verification of the Reliability of a Superconducting Flywheel Energy Storage System and Its Application to the Railway System

2017 ◽  
Vol 58 (4) ◽  
pp. 303-310 ◽  
Author(s):  
Tomohisa YAMASHITA ◽  
Masafumi OGATA ◽  
Hitoshi MATSUE ◽  
Yoshiki MIYAZAKI ◽  
Motohiko SUGINO ◽  
...  
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Flywheel Energy Storage ◽  
Flywheel Energy Storage System ◽  
Railway System

Wind/Storage System Capacity Configuration Research Based on the Benefits of Energy Saving and Emission Reduction

2013 ◽  
Vol 291-294 ◽  
pp. 636-641
Author(s):  
Jian Lin Li ◽  
Xiong Xiong ◽  
Shui Li Yang
Keyword(s):  
Energy Storage ◽  
Energy Saving ◽  
Emission Reduction ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Utilization ◽  
System Capacity ◽  
Benefit Evaluation ◽  
System Energy ◽  
Nested Genetic Algorithm

Rational configuration of energy storage system is an effective means to improve power system energy utilization and solve the bottleneck problem of wind power. To energy saving and emission reduction as study object, analyse energy storage system energy saving and emission reduction benefit evaluation index. Establish the wind/storage system benefit evaluation model to calculate wind/storage optimum matching capacity used nested genetic algorithm. The calculated results show that the wind/storage system with reasonable configuration can improve the social benefits of energy saving and emission reduction.

scholarly journals Battery energy storage system (BESS) design for peak demand reduction, energy arbitrage and grid ancillary services

2020 ◽  
Vol 11 (1) ◽  
pp. 398
Author(s):  
Wan Syakirah Wan Abdullah ◽  
Miszaina Osman ◽  
Mohd Zainal Abidin Ab Kadir ◽  
Renuga Verayiah
Keyword(s):  
Energy Storage ◽  
Power Systems ◽  
Storage System ◽  
Energy Storage System ◽  
Battery Energy Storage System ◽  
Peak Demand ◽  
Battery Energy Storage ◽  
Demand Reduction ◽  
The Stability ◽  
Battery Energy

<span style="font-size: 9pt; font-family: 'Times New Roman', serif;">Renewable Energy (RE) penetration is a new phenomenon in power systems. In the advent of high penetration of RE in the systems, several issues have to be addressed especially when it involves the stability and flexibility of the power systems. Battery Energy Storage System (BESS) has gained popularity due to its capability to store energy and to serve multiple purposes in solving various power system concerns. Additionally, several BESS can be combined to operate as Virtual Power Plant (VPP). This study will involve the design and implementation of BESS for five potential customer sites for the demonstration project and to be possibly integrated into one VPP system. The study is expected to demonstrate bill savings to the customers with BESS due to peak demand reduction and energy arbitrage savings.</span><table class="MsoNormalTable" style="width: 444.85pt; border-collapse: collapse; border: none; mso-border-alt: solid windowtext .5pt; mso-yfti-tbllook: 1184; mso-padding-alt: 0in 5.4pt 0in 5.4pt; mso-border-insideh: .5pt solid windowtext; mso-border-insidev: .5pt solid windowtext;" width="593" border="1" cellspacing="0" cellpadding="0"><tbody><tr style="mso-yfti-irow: 0; mso-yfti-firstrow: yes; mso-yfti-lastrow: yes; height: 63.4pt;"><td style="width: 290.6pt; border: none; border-top: solid windowtext 1.0pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; height: 63.4pt;" valign="top" width="387"><p class="MsoNormal" style="margin-top: 6.0pt; text-align: justify;"><span style="font-size: 9.0pt; color: black; mso-bidi-font-style: italic;">Renewable Energy (RE) penetration is a new phenomenon in power systems. In the advent of high penetration of RE in the systems, several issues have to be addressed especially when it involves the stability and flexibility of the power systems. Battery Energy Storage System (BESS) has gained popularity due to its capability to store energy and to serve multiple purposes in solving various power system concerns. Additionally, several BESS can be combined to operate as Virtual Power Plant (VPP). This study will involve the design and implementation of BESS for five potential customer sites for the demonstration project and to be possibly integrated into one VPP system. The study is expected to demonstrate bill savings to the customers with BESS due to peak demand reduction and energy arbitrage savings.</span></p></td></tr></tbody></table>

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