A Comprehensive Evaluation Method and Incentive Mechanism for Demand Response

Meng, Jinling; Huang, Xin; Feng, Yunhe; Bing, Xu; Zhao, Wei; Luo, Ming

doi:10.1109/powercon.2018.8602333

Cited by 6 publications

(3 citation statements)

References 4 publications

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“…In organizational contexts, the ranking of employees based on performance and capabilities typically hinges on a specific evaluation mechanism. When applied to the same employee cohort, varied evaluation methods and guiding principles may yield disparate results [31,32]. Selecting the most fitting evaluation method within the given theoretical framework necessitates consideration of decision makers' intentions and evaluation goals [33].…”

Section: Comprehensive Ranking Assessmentmentioning

confidence: 99%

A Method to Facilitate the Regeneration of Human Resources: A Sustainability Perspective

Chen,

Zhao,

Guo

et al. 2024

Sustainability

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Within the sustainable development framework, organizations are tasked with creating strategies that ensure the enduring provision of value through human capital for the future. Our study emphasizes employee development and training, adopting a people-centric approach aligned with sustainability principles. By leveraging techniques for the identification of Characteristics of Individual Strengths (CIS), Agent Evaluation, and composite decision making, we introduce a novel approach to formulating personalized employee training strategies. This approach is structured around three pivotal steps: identifying CIS, assessing employee roles within the organization based on CIS, and analyzing training strategies. Demonstrated through illustrative examples, our method validates its applicability in real-world settings. This research provides organizations with an innovative pathway for effectively fostering employee skills and securing a steady influx of high-quality, diverse talent.

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Section: Comprehensive Ranking Assessmentmentioning

confidence: 99%

A Method to Facilitate the Regeneration of Human Resources: A Sustainability Perspective

Chen,

Zhao,

Guo

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…Previously conducted studies have diverse views and perspectives corresponding to optimal behaviour for different parties from customers to electricity suppliers, operators, or services provider. Authors in reference [6] proposed a comprehensive evaluation method of demand response based on the optimization of subscribed load, and a mechanism of self‐subscription and difference compensation is designed. The minimum reward amount paid by the implementer of the DR event is the optimization goal.…”

Section: Introductionmentioning

confidence: 99%

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

Duc

Thanh

Van

et al. 2022

IET Generation Trans & Dist

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With the desire to improve the efficiency and the reliability of the power system as well as the advancement of smart meter and communication networks, the demand response (DR) program has been facilitated to become a key component in the smart grid. Many current researches focus on incentives‐based DR research orientation. In addition, accurately quantifying the incentive payment is also a significant challenge because of the fact that the incentive payment is currently determined depending on knowledge, experience, and experimental results. This paper presents a method of pricing incentive payments for the incentive‐based DR program through social welfare maximization framework which ensures the benefits of all participants involved. Besides, this study also proposed the quantification of incentive payments by a theoretical approach based on the satisfaction level of electricity consumers which is approximated through a fuzzy logic model. Moreover, the impact of renewable energy sources on the pricing mechanism and benefits of all parties participating in the DR program is also discussed through the calculation cost for renewable energy integration and emission cost function. The results show the validity and feasibility of the method.

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“…The systematic approach for the joint dispatch of energy and reserves incorporating demand response is proposed in (Zhang et al, 2018a), and the incentive-based demand response model is adopted to improve flexibility by its cooperation with conventional units. The maximum and minimum interruptible load and unit compensation price are considered in (Meng et al, 2018). A bonus-penalty mechanism was designed according to the actual load reduction of the contract customers to optimize the allocation of incentive funds.…”

Section: Introductionmentioning

confidence: 99%

Multi-Scenario Physical Energy Storage Planning of Integrated Energy Systems Considering Dynamic Characteristics of Heating Network and Demand Response

et al. 2021

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The configuration of energy storage in the integrated energy system (IES) can effectively improve the consumption rate of renewable energy and the flexibility of system operation. Due to the high cost and long cycle of the physical energy storage construction, the configuration of energy storage is limited. The dynamic characteristics of the heating network and the demand-side response (DR) can realize the space-time transfer of energy. Although there is no actual energy storage equipment construction, it plays a similar role to physical energy storage and can be considered as virtual energy storage in IES planning. In this paper, a multi-scenario physical energy storage planning model of IES considering the dynamic characteristics of the heating network and DR is proposed. To make full use of the energy storage potential of the proposed model, the virtual energy storage features of the dynamic heating characteristics of the heating network and DR are analyzed at first. Next, aiming at the uncertainty of wind turbine (WT) and photovoltaic (PV) output, the scenario analysis method is used to describe the wind and photovoltaic power output with different probabilities. Finally, an electrothermal IES with an IEEE 33-node network and a 26-node heating network serves as an example to verify the effectiveness of the proposed model. The case study shows that the proposed model effectively reduces the physical energy storage configuration and achieves the economic trade-off between the investment cost and the operation cost.

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A Comprehensive Evaluation Method and Incentive Mechanism for Demand Response

Cited by 6 publications

References 4 publications

A Method to Facilitate the Regeneration of Human Resources: A Sustainability Perspective

A Method to Facilitate the Regeneration of Human Resources: A Sustainability Perspective

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

Multi-Scenario Physical Energy Storage Planning of Integrated Energy Systems Considering Dynamic Characteristics of Heating Network and Demand Response

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