Customer-Side SCADA-Assisted Large Battery Operation Optimization for Distribution Feeder Peak Load Shaving

Taylor, Zachariah David; Akhavan-Hejazi, Hossein; Cortez, Ed; Alvarez, Lilliana; Ula, Sadrul; Barth, Matthew; Mohsenian‐Rad, Hamed

doi:10.1109/tsg.2017.2757007

Cited by 40 publications

(21 citation statements)

References 35 publications

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“…In this respect, the authors of References [177][178][179][180][181][182][183] have thoroughly reviewed the role of storage systems in modern smart grids in terms of applications, costs, characteristics, optimal operation, sizing, and hybridization of storage technologies. For instance, the applications may include, but not limited to, energy arbitrage [184][185][186][187][188][189], peak shaving [190][191][192], frequency regulation [193][194][195][196] and [197], spinning reserves [198], voltage support [199][200][201], black start capabilities [202], intermittency smoothing [203], congestion mitigation [204], system expansion deferrals [205], multi-agent grid services [206][207][208][209], and load-following applications [210]; Tables 7 and 8 highlight the most recent characteristics of storage technologies.…”

Section: Energy Storage Technologiesmentioning

confidence: 99%

A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources

et al. 2020

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The smart grid is an unprecedented opportunity to shift the current energy industry into a new era of a modernized network where the power generation, transmission, and distribution are intelligently, responsively, and cooperatively managed through a bi-directional automation system. Although the domains of smart grid applications and technologies vary in functions and forms, they generally share common potentials such as intelligent energy curtailment, efficient integration of Demand Response, Distributed Renewable Generation, and Energy Storage. This paper presents a comprehensive review categorically on the recent advances and previous research developments of the smart grid paradigm over the last two decades. The main intent of the study is to provide an application-focused survey where every category and sub-category herein are thoroughly and independently investigated. The preamble of the paper highlights the concept and the structure of the smart grids. The work presented intensively and extensively reviews the recent advances on the energy data management in smart grids, pricing modalities in a modernized power grid, and the predominant components of the smart grid. The paper thoroughly enumerates the recent advances in the area of network reliability. On the other hand, the reliance on smart cities on advanced communication infrastructure promotes more concerns regarding data integrity. Therefore, the paper dedicates a sub-section to highlight the challenges and the state-of-the-art of cybersecurity. Furthermore, highlighting the emerging developments in the pricing mechanisms concludes the review.

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Section: Energy Storage Technologiesmentioning

confidence: 99%

A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources

et al. 2020

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“…Regarding the former issue, the optimized operation of BESS is based mainly on the load forecast [7]- [10], and the effectiveness of peak-load shaving is also investigated. For the latter issue, the real-world implementation is built upon the utility's SCADA system in [9] and a powerline-based communication protocol from a vender is used in [10]. The platforms presented in [9], [10] are proprietary with closed protocols and might not support the open access to device and system-level data.…”

Section: B Related Work On Using Bess For Peak-load Shavingmentioning

confidence: 99%

“…For the latter issue, the real-world implementation is built upon the utility's SCADA system in [9] and a powerline-based communication protocol from a vender is used in [10]. The platforms presented in [9], [10] are proprietary with closed protocols and might not support the open access to device and system-level data.…”

Section: B Related Work On Using Bess For Peak-load Shavingmentioning

confidence: 99%

An Interoperable Building Energy Management System With IEEE1888 Open Protocol for Peak-Load Shaving

Saatwong

Suwankawin

2020

IEEE Open J. Ind. Applicat.

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A peak-load shaving application is implemented for a Building Energy Management System (BEMS). The IEEE1888 open protocol is adopted to facilitate interoperability capability through the TCP/IP network. The data structure is determined by the Facility Information Access Protocol (FIAP). The operation of equipped Battery Energy Storage System (BESS) is optimized from the analytical load-forecast model and also takes the power and energy ratings of the battery into consideration. The peak-load-shaving application is developed with 15-minute on-line processing. The real-world BEMS is demonstrated by a test-bed building at university. Thanks to the IEEE1888 open protocol, the common interface for the gateway, data storage, and peak-shaving application can be achieved. Experimental results are gathered from 2-week testing and the feasibility of IEEE1888-based interoperable BEMS is validated. The optimized control of a 5.76 kW/11.52 kWh BESS is examined accordingly, and up to 6.99% of peak demand is successfully deducted. Parameters c 1 , c 2 , c 3 , c 4 , c 5 Members of set C. f 1 , f 2 , f 3 , f 4 , f 5 Members of set F. p 1 , p 2 , p 3 Members of set P. m Order of Auto-Regressive (AR) model.

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“…It was emphasized that battery energy storage would be a suitable tool for peak load shifting. Therefore, in the literature, there are many studies in order to determine the effect of battery energy storage system on peak load shifting . These studies show that battery energy storage systems have also great potential for reducing electricity peak load.…”

Section: Introductionmentioning

confidence: 99%

Potential use of thermal energy storage for shifting cooling and heating load to off‐peak load: A case study for residential building in Canada

Erdemir

Dinçer

2020

Energy Storage

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This study presents an investigation of the potential use of thermal energy storage for shifting cooling and heating loads to off-peak hours in order to balance the electricity production and demand periods. In Canada, the main energy source for cooling and heating applications is generally electricity. Therefore, cooling and heating devices have a great impact on the electricity peak load. In this study, it is considered that heating and cooling loads on the electricity peak load periods are shifted to off-peak hours by thermal energy storage systems. At the end of this study, it is observed that the thermal energy storage has great potential for shifting electricity peak load depending on cooling and heating load to off-peak periods. The electricity peak loads can be reduced by 25% and 45% by shifting heating and cooling loads to off-peak hours and doing storage. Furthermore, the thermal energy storage systems can help reduce both cooling and heating costs in Canadian dwellings by 20% and 18%, respectively. K E Y W O R D Scooling, cost assessment, heating, thermal energy storage

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Customer-Side SCADA-Assisted Large Battery Operation Optimization for Distribution Feeder Peak Load Shaving

Cited by 40 publications

References 35 publications

A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources

A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources

An Interoperable Building Energy Management System With IEEE1888 Open Protocol for Peak-Load Shaving

Potential use of thermal energy storage for shifting cooling and heating load to off‐peak load: A case study for residential building in Canada

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