Dynamic electricity tariffs: Designing reasonable pricing schemes for private households

Freier, Julia; Loessl, Victor von

doi:10.1016/j.eneco.2022.106146

Cited by 21 publications

(6 citation statements)

References 41 publications

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“…This implies that greater potential savings increase the likelihood of choice of a dynamic tariff. Sufficient savings potential is not only discussed as requirement for a tariffs uptake (e.g., Freier and von Loessl, 2022;Pebéreau and Remmy, 2022) but also as perquisite for actual load shifts of households using a RTP tariff (e.g., Fabra et al, 2021). In this respect, also, the mean estimated parameter for the attribute 'necessary shift of consumption' is statistically negative at the 1% level for all four groups, which implies that greater required load shifts reduce the likelihood that respondents chose a particular tariff.…”

Section: Preferences For Dynamic Electricity Tariffsmentioning

confidence: 99%

Preferences for dynamic electricity tariffs: A comparison of households in Germany and Japan

Nakai,

von Loessl,

Wetzel

2024

Ecological Economics

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Section: Preferences For Dynamic Electricity Tariffsmentioning

confidence: 99%

Preferences for dynamic electricity tariffs: A comparison of households in Germany and Japan

Nakai,

von Loessl,

Wetzel

2024

Ecological Economics

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“…The daily power consumed by all the fixed loads, all the interruptible loads, and all the uninterruptable loads are given by Equations ( 5), (6), and (7), respectively.…”

Section: Residential Loads In a Typical Smart Homementioning

confidence: 99%

“…These electricity tariffs offer different time-based pricing rates e.g. Time-of-Use (ToU) pricing, Real-Time Pricing (RTP), Critical Peak Pricing (CPP), and Day-Ahead Pricing (DAP), [6]- [7]. In ToU pricing scheme, the price rate varies related to the time in the day, whereas, the rate in DAP pricing is provided by utilities depending on deals for setting supply-demand balance in hourly intervals.…”

Section: Introductionmentioning

confidence: 99%

Effective Hybrid Search Technique Based Constraint Mixed-Integer Programming for Smart Home Residential Load Scheduling

Abdelhameed,

Abdelraheem,

Mohamed

et al. 2023

Preprint

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In this study, the problem of scheduling smart homes (SHs) residential loads is considered aiming at minimizing the electricity bills and enhancing the user comfort. The problem is addressed as a multi-objective constraint mixed-integer optimization problem (CP-MIP) to model the constrained load operation. As the CP-MIP optimization problem is non-convex, a novel hybrid search technique, that combines Relaxation and Rounding (RnR) approach and metaheuristic algorithms to enhance the accuracy and relevance of decision variables, is proposed. This search technique is implemented through two stages: relaxation stage in which a metaheuristic technique is applied to get the optimal rational solution of the problem. Whereas, the second stage is the rounding process which is applied via stochastic rounding approach to provide a good-enough feasible solution. The scheduling process has been done under time-of-use (ToU) dynamic electricity pricing scheme and two powering modes (i.e. powering from the main grid only or powering from grid-tied photovoltaic (PV) residential power system), in addition, four metaheuristics (i.e. Binary Particle Swarm Optimization (BPSO), Self-Organizing Hierarchical PSO (SOH-PSO), JAYA algorithm, and Comprehensive Learning JAYA algorithm (CL-JAYA)) have been utilized. The results reported in this study verify the effectiveness of the proposed technique.

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“…Consumer demand for electricity varies daily, weekly, monthly, quarterly and annually. At the same time, one of the factors that negatively affect the performance of the system is the ruggedness of the daily "peak" period in electricity consumption [4,5,6]. In addition, in the period from the beginning of 2020 to October 1, the indicator of electricity delivery to consumers was 44.9 billion.…”

Section: Introductionmentioning

confidence: 99%

Possibilities of applying time-classified tariffs in “smoothing” the loading graph of the electric energy system

Muratov,

Kаdirov,

Kushev

2023

E3S Web Conf.

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In this paper, the impact of the use of time-classified tariffs on the electricity system is considered. That is, the possibility of adjusting the loads on the existing substation in the morning and evening “peak” periods was assessed. In exchange for using the results of the energy audit and applying the system of time-classified tariffs, it will be possible to achieve smoothing of the load schedule of the electric power system during “peak” periods. Consumers’ use of the time-classified tariff system will reduce the loading period of the electric power system and change its regimes.

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Dynamic electricity tariffs: Designing reasonable pricing schemes for private households

Cited by 21 publications

References 41 publications

Preferences for dynamic electricity tariffs: A comparison of households in Germany and Japan

Preferences for dynamic electricity tariffs: A comparison of households in Germany and Japan

Effective Hybrid Search Technique Based Constraint Mixed-Integer Programming for Smart Home Residential Load Scheduling

Possibilities of applying time-classified tariffs in “smoothing” the loading graph of the electric energy system

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