Impact of Operational Decisions and Size of Battery Energy Storage Systems on Demand Charge Reduction

Karandeh, Roozbeh; Lawanson, Tumininu; Cecchi, Valentina

doi:10.1109/ptc.2019.8810754

Cited by 14 publications

(5 citation statements)

References 13 publications

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“…Improving the reliability of DSM is among the major research focus areas in SG deployments. An optimization problem regarding the energy storage system that analyzed the impact of battery size and operational decisions on peak shaving technique was presented in [45]. Peak shaving involves the flexibility of consumers in the daily operational grid, by allowing customers to purchase from and sell electricity to the grids.…”

Section: Traditional Architecturesmentioning

confidence: 99%

A Review of Cognitive Radio Smart Grid Communication Infrastructure Systems

2020

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The cognitive smart grid (SG) communication paradigm aims to mitigate quality of service (QoS) issues in obsolete communication architecture associated with the conventional electrical grid. This paradigm entails the integration of advanced information and communication technologies (ICTs) into power grids, enabling a two-way flow of information. However, due to the exponential increase in wireless applications and services, also driven by the deployment of the Internet of Things (IoT) smart devices, SG communication systems are expected to handle large volumes of data. As a result, the operation of SG networks is confronted with the major challenge of managing and processing data in a reliable and secure manner. The existing works in the literature proposed architectures with the objective to mitigate the underlying QoS issues such as latency, bandwidth, data congestion, energy efficiency, etc. In addition, a variety of communication technologies have been analyzed for their capacity to support stringent QoS requirements for diverse SGs environments. This notwithstanding, a standard architecture designed to mitigate the aforementioned issues for SG networks remains a work-in-progress. The main objective of this paper is to investigate the emerging technologies such as cognitive radio networks (CRNs) as part of the Fifth-Generation (5G) mobile technology for reliable communication in SG networks. Furthermore, a hybrid architecture based on the combination of fog computing and cloud computing is proposed. In this architecture, real-time latency-sensitive information is given high priority, with fog edge based servers deployed in close proximity to home area networks (HANs) for preprocessing and analyzing of information collected from smart IoT devices. In comparison to the recent works in the literature, which are mainly based on CRNs and 5G separately, the proposed architecture in this paper incorporates the combination of CRNs and 5G for reliable and efficient communication in SG networks.

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Section: Traditional Architecturesmentioning

confidence: 99%

A Review of Cognitive Radio Smart Grid Communication Infrastructure Systems

2020

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“…Enrique Lobato et al developed an algorithm for peak shaving using energy storage for isolated networks in [18]. Roozbeh Karandeh et al [19] investigated peak shaving through BESS for charging applications. They demonstrate the impact of the storage to the capability of a complete system to provide smooth load profiles even under intense operation periods.…”

Section: Introductionmentioning

confidence: 99%

Battery Storage at the Secondary Distribution Electricity Grid by Investigating End-Users Load Demand Measurements

Theocharis

Hamanee

2022

Energies

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Energy storage systems is expected to be utilized to cover the increased electrification of energy demands and to alleviate the electrical energy production from intermittent energy sources such as solar and wind. Aggregated and distributed battery energy storage systems may improve electricity grids operability and security by providing smart energy management options and efficient resources allocation. In this paper, battery storage at the secondary distribution level is explored. The investigation is based on the end-user energy demand behavior. As such, the electrical energy consumption patterns are measured and analyzed in a residential area. Measurements were collected and analyzed in order to record the customers’ behaviors aiming to reveal their differences and similarities. Following this, aggregated and distributed battery energy storage systems are computed based on the features of the measured electrical power consumption patterns aiming to estimate the factors that could potentially incentivize the installation of a battery system either as aggregated at the low voltage transformer side or as distributed system at the load side. The parameters that affect the economic viability of the system are qualitatively evaluated with regard to the profitability of the system.

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“…The grid integration of battery energy storage systems (BESSs) is expanding rapidly, thanks to the BESS's desirable characteristics of being a fast, efficient, and flexible generating resource with the capability of multiple services provision [1]. BESSs are capable of providing a wide range of grid services including energy arbitrage, frequency regulation, reserve provision, resiliency enhancement, and renewable firming [2], [3].…”

Section: Introductionmentioning

confidence: 99%

Impact of Battery Degradation on Market Participation of Utility-Scale Batteries: Case Studies

Khalilisenobari

2021

2020 52nd North American Power Symposium (NAPS)

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The recent decrease in battery manufacturing costs stimulates the market participation of utility-scale battery energy storage systems (BESSs). However, battery degradation remains a major concern for BESS owners while determining their BESS investment and operation strategies. This paper studies the impact of battery degradation on BESS's operation and revenue/cost in real-time energy, reserve, and pay as performance regulation markets. Comparative case studies are performed on two optimization frameworks which model the participation of a price-maker BESS in energy and ancillary services markets with and without considering battery degradation cost. A synthetic test system built upon real-world data is adopted in the case studies. Analyses reveal that degradation cost plays an important role in the scheduling of BESSs and should not be neglected. Several potential enhancements to the optimization frameworks are discussed based on the performed analyses.

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Impact of Operational Decisions and Size of Battery Energy Storage Systems on Demand Charge Reduction

Cited by 14 publications

References 13 publications

A Review of Cognitive Radio Smart Grid Communication Infrastructure Systems

A Review of Cognitive Radio Smart Grid Communication Infrastructure Systems

Battery Storage at the Secondary Distribution Electricity Grid by Investigating End-Users Load Demand Measurements

Impact of Battery Degradation on Market Participation of Utility-Scale Batteries: Case Studies

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