Research of time-of-use electricity pricing models in China: A survey

Shao-lun, Zeng; Li, Jun; Ren, Yulong

doi:10.1109/ieem.2008.4738260

Cited by 26 publications

(3 citation statements)

References 1 publication

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“…Furthermore, traditional time-of-use (TOU) rates are not covered in this work, since these rates only depend on time and are not dynamically adapted to changes in the operating conditions. More information on TOU rates can be found in References [26,27].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Pricing for Electric Vehicle Charging—A Literature Review

Limmer

2019

Energies

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Time-varying pricing is seen as an appropriate means for unlocking the potential flexibility from electric vehicle users. This in turn facilitates the future integration of electric vehicles and renewable energy resources into the power grid. The most complex form of time-varying pricing is dynamic pricing. Its application to electric vehicle charging is receiving growing attention and an increasing number of different approaches can be found in the literature. This work aims at providing an overview and a categorization of the existing work in this growing field of research. Furthermore, user studies and the modeling of user preferences via utility functions are discussed.

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Section: Introductionmentioning

confidence: 99%

Dynamic Pricing for Electric Vehicle Charging—A Literature Review

Limmer

2019

Energies

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“…It has the excellent benefit of being simple for customers to follow, comprehend, and arrange for their schedule demands. Countries including China (Zeng et al 2008), Ontario (Adepetu et al 2013, Italy (Torriti 2012), USA (Faruqui and Sergici 2010) and Malaysia (Hussin et al 2014) have implemented TOU after it was recommended in (Moon and Lee 2016;Vivekananthan et al 2014) to minimize costs and energy consumption patterns in residential structures.…”

Section: Demand Responsementioning

confidence: 99%

A comprehensive overview on demand side energy management towards smart grids: challenges, solutions, and future direction

et al. 2023

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Demand-side management, a new development in smart grid technology, has enabled communication between energy suppliers and consumers. Demand side energy management (DSM) reduces the cost of energy acquisition and the associated penalties by continuously monitoring energy use and managing appliance schedules. Demand response (DR), distributed energy resources (DER), and energy efficiency (EE) are three categories of DSM activities that are growing in popularity as a result of technological advancements in smart grids. During the last century, the energy demand has grown significantly in tandem with the increase in the global population. This is related to the expansion of business, industry, agriculture, and the increasing use of electric vehicles. Because of the sharp increase in global energy consumption, it is currently extremely difficult to manage problems such as the characterization of home appliances, integration of intermittent renewable energy sources, load categorization, various constraints, dynamic pricing, and consumer categorization. To address these issues, it is critical to examine demand-side management (DSM), which has the potential to be a practical solution in all energy demand sectors, including residential, commercial, industrial, and agricultural. This paper has provided a detailed analysis of the different challenges associated with DSM, including technical, economic, and regulatory challenges, and has proposed a range of potential solutions to overcome these challenges. The PRISMA reviewing methodology is adopted based on relevant literature to focus on the issues identified as barriers to improving DSM functioning. The optimization techniques used in the literature to address the problem of energy management were discussed, and the hybrid techniques have shown a better performance due to their faster convergence speed. Gaps in future research and prospective paths have been briefly discussed to provide a comprehensive understanding of the current DSM implementation and the potential benefits it can offer for an energy management system. This comprehensive review of DSM will assist all researchers in this field in improving energy management strategies and reducing the effects of system uncertainties, variances, and restrictions.

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“…Developing proper fences to avoid leakages is both challenging, and costly. Various researchers have identified the economic advantages of TOU in specific electricity markets like Brazil [5], Switzerland [6], Taiwan [7] , and Australia, etc., and have proposed two times/three time-period tariffs. Three time-period-based TOU tariff and its impact on the reliability of power system in Roy Billiton Test System (RBTS) has been addressed in [8].…”

Section: Introductionmentioning

confidence: 99%

Impact analysis of electricity pricing on the reliability of integrated Nepal power system

Suman Timilsina,

Babita Sharma,

Ram Sharan Timilsina

et al. 2023

Jnl Innov. Engin. Educ.

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Time of Use of Electricity Pricing (TOU) strategy is adopted by many countries to reduce the peak load and minimize the cost of Electricity. In this research, the effect of the TOU tariff system on the reliability of the Integrated Nepal Power System (INPS) has been investigated. Implemented TOU is based on three time periods: Peak time, Flat time, and Valley time (PFV). The moving variable method is used to find the optimal PFV period in a day. Particle swarm optimization (PSO) is used to find optimal prices corresponding to the given periods, where two objective functions are converted to a single objective function. Prices are modeled with the demand response and a new load pattern of consumers after TOU has been obtained. Power plants of INPS are modeled into four states model and the Monte-Carlo simulation is used to find the generation adequacy indices like Loss of Load Probability (LOLP), Loss of Load Expected (LOLE), and Loss of Energy Expected (LOEE) before and after the implementation of the TOU. The risk level of INPS is reduced by 37% and peak load is reduced by 4.2% after the implementation of TOU. It is found that the reliability of INPS can be improved with the help of TOU

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Research of time-of-use electricity pricing models in China: A survey

Cited by 26 publications

References 1 publication

Dynamic Pricing for Electric Vehicle Charging—A Literature Review

Dynamic Pricing for Electric Vehicle Charging—A Literature Review

A comprehensive overview on demand side energy management towards smart grids: challenges, solutions, and future direction

Impact analysis of electricity pricing on the reliability of integrated Nepal power system

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