Impact of renewable energy integration on a novel method for pricing incentive payments of incentive‐based demand response program

Duc, Tuyen Nguyen; Thanh, Son Tran; Van, Long Do; Quoc, Ngu Tran; Takano, Hirotaka

doi:10.1049/gtd2.12391

Cited by 6 publications

(3 citation statements)

References 27 publications

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“…This type of program usually requires an initial step to establish and define the involvement of each customer, and in some cases, may require the preparation of a prior contract (e.g., in direct load control programs [52]). Nguyen et al ( 2022) propose a model for the setting of incentive-based pricing considering the maximization of the welfare of the participants with a sigmoid-curve satisfaction function with fuzzy logic to assess the costumer-side benefits [53]. A similar mechanism is proposed by Muthirayan et al (2019), using the automatic reporting of energy customers' baselines (that is, the expected consumption profile for a given period, typically calculated using historical data) [54].…”

Section: Demand Responsementioning

confidence: 99%

Assessment of Energy Customer Perception, Willingness, and Acceptance to Participate in Smart Grids—A Portuguese Survey

2022

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The adoption of smart grids is becoming a common reality worldwide. This new reality is starting to impact energy customers as they face a dynamic grid in which they can actively participate. However, if energy customers are not prepared to participate actively, they can have their energy costs increased. This paper provides a review of acceptance models and customer surveys around the world made to assess the customers’ perception and willingness to participate in smart grids. Contributing to this assessment, this paper presents a survey undertaken in Portugal. The survey results demonstrate a willingness, from the customer’s end, to actively participate in smart grid initiatives. It was found that 92.9% of participants are willing to plan their energy usage to face hourly energy prices and that 95.0% of participants are willing to accept an external control of at least one appliance, enabling direct load control demand response programs. Also, the results identified two cognitive tendencies, negativity bias, and loss aversion, which can impact how customers participate in smart grids. These cognitive tendencies and the literature acceptance models demonstrate the importance of conducting social science studies targeting smart grids to fully achieve the efficient participation of end customers.

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Section: Demand Responsementioning

confidence: 99%

Assessment of Energy Customer Perception, Willingness, and Acceptance to Participate in Smart Grids—A Portuguese Survey

2022

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“…Here, DR is understood as the change in electricity usage of end-users compared to their normal consumption according to changes in electricity prices over time (Kiliccote et al, 2006)(US Department of Energy 2006) (Ozturk et al, 2013). According to Nguyen et al (Nguyen Duc et al, 2022), the authors built a DR model based on the incentive payment pricing method. A contract would be signed between supplier and consumer to active the proposed DR project.…”

Section: Three-pricementioning

confidence: 99%

Electrical Energy Management According to Pricing Policy: A Case in Vietnam

Nguyen

Pham

Huynh

2022

Int. J. Renew. Energy Dev.

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Electrical equipment is increasingly diversified in both types and capacity to meet the maximum needs of people in the 4th industrial revolution. This development has helped people to achieve many great scientific achievements, but this development has led to a rapid increase in the demand for electric energy in recent years. The traditional electricity supply from fossil fuels is gradually depleting, which has prompted the search for clean and renewable energy sources to gradually replace the dependence on this energy source. Prosumer, HEMS (home energy management system), and other solutions have been researched and applied to optimize electrical energy sources. However, for countries that mainly use fossil energy sources like Vietnam, these solutions are not effective. Policy on the management could help to solve this problem, in particular, the price policy is the solution that Vietnam has used to effectively manage this energy source. This article analyzes the issues of applicable pricing policy in Vietnam, proposes potential policies to improve and protect the electric energy system, as well as enhances the rate of renewable energy use in the electricity system in Vietnam

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“…In [19], a two‐stage optimal dispatching scheme was proposed for the regional power grid based on the participation of EVs in peak shaving pricing. In [20], a theoretical method based on electric power consumer satisfaction was proposed to quantify incentive compensation. In [21], an orderly dispatching strategy for EVs using V2G(vehicle‐to‐grid) technology was established.…”

Section: Introductionmentioning

confidence: 99%

A three‐stage economy optimization method for the aggregator based on electric vehicle user response volumes

Lin,

Zhou,

et al. 2023

IET Generation Trans & Dist

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With the development of intelligent distribution networks and the proposal of the carbon peaking and carbon neutrality goals, the importance of demand‐side management for the improvement of flexible power operation systems is becoming increasingly prominent. To solve the problems of the excessive peak–valley load differences, the insufficient utilization of demand‐side resources, and the unreasonable pricing of aggregators, this paper proposes a three‐stage economy optimization method for the aggregator based on EV(electric vehicle) user response volumes. To gain the advantages of different types of EVs while increasing the dispatchable capacity, the contract mode between the aggregator and EVs is divided into three categories: complete dispatching, rolling reward and punishment mechanism dispatching, and free dispatching. Based on the cloud model, considering loss aversion, the user's own time flexibility, and the impact of the tariff set by the aggregator on the user's decision‐making, we introduced indicator weights to obtain the improved cloud model. Based on the improved cloud model, a user response volume model is obtained. Then, the aggregator performs a three‐stage pricing optimization operation for EVs based on the bid‐winning peak shaving capacity. In the first stage, the attraction between EVs and charging stations is determined based on the law of gravity, and the charging and discharging reward electricity price is set. In the second stage, the dynamic electricity price of three types of EVs and the charging punishment electricity prices of the rolling reward and punishment mechanism dispatching type are determined. In the third stage, the electricity price of the rolling reward and punishment dispatching EVs is further optimized based on their lack of peak shaving capacity. The method proposed in the paper has been verified to be effective in increasing aggregator profits, increasing EV dispatch capacity, and reducing EV charging costs through the example analysis.

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Impact of renewable energy integration on a novel method for pricing incentive payments of incentive‐based demand response program

Cited by 6 publications

References 27 publications

Assessment of Energy Customer Perception, Willingness, and Acceptance to Participate in Smart Grids—A Portuguese Survey

Assessment of Energy Customer Perception, Willingness, and Acceptance to Participate in Smart Grids—A Portuguese Survey

Electrical Energy Management According to Pricing Policy: A Case in Vietnam

A three‐stage economy optimization method for the aggregator based on electric vehicle user response volumes

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