As one falls, another rises? Residential peak load reduction through electricity rate structures

Bandyopadhyay, Arkasama; Leibowicz, Benjamin D.; Beagle, Emily; Webber, Michael E.

doi:10.1016/j.scs.2020.102191

Cited by 13 publications

(4 citation statements)

References 38 publications

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“…where 𝑆𝑂𝐶 and 𝑆𝑂𝐶 are the minimum and maximum SOC value of the i-th EV for all time intervals, respectively. To maintain the efficient operation and prevent the aging of EV battery, the operating range of SOC is set as 20%~80%, as presented in (13). The EV battery can be protected from overcharging and deep discharging issues.…”

Section: Constraintsmentioning

confidence: 99%

“…EV charging stations generally produce high charging load in the distribution network when added to the local power systems. Several studies have been implemented, which are relevant to quantifying the variation of peak load [13,14]. With an uncoordinated charging scheme for PHEVs located in the metropolitan distribution network of Australia, peak load shifting was required to make the stable operation of the distribution network [15].…”

Section: Introductionmentioning

confidence: 99%

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Development of Charging/Discharging Scheduling Algorithm for Economical and Energy-Efficient Operation of Multi-EV Charging Station

et al. 2022

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As the number of electric vehicles (EVs) significantly increases, the excessive charging demand of parked EVs in the charging station may incur an instability problem to the electricity network during peak hours. For the charging station to take a microgrid (MG) structure, an economical and energy-efficient power management scheme is required for the power provision of EVs while considering the local load demand of the MG. For these purposes, this study presents the power management scheme of interdependent MG and EV fleets aided by a novel EV charging/discharging scheduling algorithm. In this algorithm, the maximum amount of discharging power from parked EVs is determined based on the difference between local load demand and photovoltaic (PV) power production to alleviate imbalances occurred between them. For the power management of the MG with charging/discharging scheduling of parked EVs in the PV-based charging station, multi-objective optimization is performed to minimize the operating cost and grid dependency. In addition, the proposed scheme maximizes the utilization of EV charging/discharging while satisfying the charging requirements of parked EVs. Moreover, a more economical and energy-efficient PV-based charging station is established using the future trends of local load demand and PV power production predicted by a gated recurrent unit (GRU) network. With the proposed EV charging/discharging scheduling algorithm, the operating cost of PV-based charging station is decreased by 167.71% and 28.85% compared with the EV charging scheduling algorithm and the conventional EV charging/discharging scheduling algorithm, respectively. It is obvious that the economical and energy-efficient operation of PV-based charging station can be accomplished by applying the power management scheme with the proposed EV charging/discharging scheduling strategy.

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Section: Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of Charging/Discharging Scheduling Algorithm for Economical and Energy-Efficient Operation of Multi-EV Charging Station

et al. 2022

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“…One load-management strategy in DSM is load-shifting (Figure 1), a technique to shift peakhour demand to off-peak hours by reallocating the load demand [6] without changing the total energy consumption [7]. This can also reduce the cost [1,6,[8][9][10][11][12][13][14][15] as well as the capacity of the electricity grid. In practice, Yilmaz et al (2019), quoted in [16], defined load-shifting as a "process where consumers time-shift demand, either through behaviour change or automation, in response to particular conditions within the electricity system, and [it] is therefore a potential solution to equilibrate the network".…”

Section: Introductionmentioning

confidence: 99%

A Systematicity Review on Residential Electricity Load-Shifting at the Appliance Level

Manembu,

Kewo,

Bramstoft

et al. 2023

Energies

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Load-shifting is a demand-side management (DSM) strategy to support the efficiency of the electricity grid during hours of peak demand. Load-shifting at the appliance level is an interesting topic to review, since appliance usage is one of the main inputs of the load-profile analysis. More literature reviews on load-shifting at the appliance level are required, as this is a specific issue in the body of literature on load-profile research, though only a limited number of studies are available at this time. It is also essential to focus on appliance usage patterns to improve our understanding of the impacts and characteristics of different appliances. Existing studies on load-shifting have used commonly structured literature reviews; our work addresses the transparency of each stage and substage in the selection of the final list of studies. The findings show that efficiency has been achieved in installed-capacity reductions; costs, including those of emission reductions; and peak consumption reductions. The most frequently used method in load-shifting at the appliance level is to develop load-shifting optimization algorithms. This work contributes by providing a transparent process of drawing up a systematicity literature review as a source of knowledge and grounded theory. It also contributes to specific research on load-shifting at the appliance level by highlighting and discussing the key findings for the reader. In particular, it contributes to improving energy efficiency by describing load-shifting methods at the appliance level and identifying both controllable and uncontrollable appliances. This detailed literature review at the appliance level can make valuable contributions in support of decision- and policymaking by illuminating new dynamic systems specifically in load-shifting and in demand-side management in general for energy efficiency purposes.

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“…To increase the potential for demand side flexibility, a deeper understanding of domestic electricity load profiles is needed [8], [9]. As results of [10] show, the household electricity sector is changing with increasing integration of PV, smart meters, two-way communication between the customer and the utility, dynamic pricing, and can effectively shift the residential peak away from the time of overall electricity system peak load. However, the research of new decentralized energy production systems (PV, micro wind turbines etc.…”

Section: Introductionmentioning

confidence: 99%

Potential of End-User Electricity Peak Load Shift in Latvia

Ļebedeva

Borodiņecs

Krumins³

et al. 2021

Latvian Journal of Physics and Technical Sciences

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One of the main challenges in the world as well as in Latvia is the reduction of the fossil fuel consumption. Electricity generation, which is still mainly produced by fossil fuel or nuclear power, is one of the largest shares. Nowadays end-users can efficiently control their electricity consumption by shifting electrical loads and taking into account fluctuating electricity price at Nord Pool. The smart metering systems have been expanding, but for the time being, end-users do not use this possibility efficiently. This study provides an analysis of Latvian electricity consumption specifics and evaluates a potential to shift electricity peak loads. The study includes households, industry and commercial/public sector. Based on the questionnaire distributed among end-users, the initial data on equipment and usage profile were collected. The most essential equipment was reviewed to estimate the potential for load shift. The obtained results show that that there is a positive effect of the load shift. In the household sector, the average electrical load shift can be 6 % (95 GWh/ year) during a period at a cheaper price; in the industry sector on average 37 % (36.58 GWh/ year) and in the commercial/public sector there is no potential due to its specifics (working hours, constant use of refrigerators, etc.).

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As one falls, another rises? Residential peak load reduction through electricity rate structures

Cited by 13 publications

References 38 publications

Development of Charging/Discharging Scheduling Algorithm for Economical and Energy-Efficient Operation of Multi-EV Charging Station

Development of Charging/Discharging Scheduling Algorithm for Economical and Energy-Efficient Operation of Multi-EV Charging Station

A Systematicity Review on Residential Electricity Load-Shifting at the Appliance Level

Potential of End-User Electricity Peak Load Shift in Latvia

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