Fair Billing Mechanism for Energy Consumption Scheduling with User Deviation in the Smart Grid

Charoen, Prasertsak; Sioutis, Marios; Javaid, Saher; Lim, Yuto; Tan, Yasuo

doi:10.1109/sege.2018.8499487

Cited by 4 publications

(9 citation statements)

References 11 publications

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“…Finally, a fair billing mechanism is introduced and integrated into the DSM program. As an extension of our previous work in [19], we proposed rescheduling compensation bill and consumption deviation bill which accounts for rescheduling and consumption deviating users respectively. Any cost differences (i.e., differences between hourly scheduled and actual consumption) are distributed among the members of the community based on their individual actions and contributions.…”

Section: Addressing Limitations: Our Approachmentioning

confidence: 99%

“…, ∀h ∈ H (19) where x −n denotes the energy consumption scheduling vectors of all users other than user n.…”

Section: Day-ahead Consumption Schedulingmentioning

confidence: 99%

“…For simplicity, a round-robin scenario is used. Once, the user receives execution command allow for scheduling, the user's HEMS locally solves the optimization problem in Equation (19). That is, each user tries to minimize its utility function assuming that energy consumption of all other users is fixed.…”

Section: Day-ahead Consumption Schedulingmentioning

confidence: 99%

“…In this section, the details of the proposed fair billing mechanism are explained. As mentioned before, an optimal consumption schedule for each user is computed using Equation (19). Equations (11) and (13) are used to determine the user's electricity bill which is proportional to the amount of energy consumed.…”

Section: User Billing Mechanismmentioning

confidence: 99%

“…After the bill compensation is determined, all user will be billed based on a billing mechanism extended from our work in [19] which takes into account any cost differences between actual and assigned consumption schedules. The proposed consumption deviation bill aims to fairly determine the user's electricity bill based on the following fairness criteria:…”

Section: Consumption Deviation Billmentioning

confidence: 99%

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User-Centric Consumption Scheduling and Fair Billing Mechanism in Demand-Side Management

et al. 2019

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In the smart grid, residential consumption scheduling in demand-side management (DSM) is one of the key technologies to facilitate utility companies and users in order to achieve systems optimality such as minimizing energy cost and demand peak. The success of DSM implementation depends on the level of user participation. While most of the prior works on DSM have reported good optimal results, they show a lack of focus towards user-centric issues such as user preferences, consumption deviation, and system fairness. Failure to account for such issues may lead to lower user participation in DSM programs. To address this problem, we propose user-centric consumption scheduling and fair billing mechanism for DSM program which consider economic as well as comfort aspects. First, a user’s discomfort cost is integrated into price incentives for determining consumption schedules. Second, consumption rescheduling mechanism is designed to allow users to change their preferences if necessary, and request new schedules. Finally, to improve the level of system fairness and avoid strategic players who try to manipulate the consumption profile for their benefit, a fair billing mechanism is proposed at the end of the scheduling period which takes into account both rescheduling users and user’s consumption deviation level. Simulation results show the effectiveness of the proposed method in terms of energy cost saving and improving fairness in the user’s billing.

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Section: Addressing Limitations: Our Approachmentioning

confidence: 99%

“…, ∀h ∈ H (19) where x −n denotes the energy consumption scheduling vectors of all users other than user n.…”

Section: Day-ahead Consumption Schedulingmentioning

confidence: 99%

Section: Day-ahead Consumption Schedulingmentioning

confidence: 99%

Section: User Billing Mechanismmentioning

confidence: 99%

Section: Consumption Deviation Billmentioning

confidence: 99%

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User-Centric Consumption Scheduling and Fair Billing Mechanism in Demand-Side Management

et al. 2019

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BillingOpsSC: Smart Contract-based Service Billing Management Method for Consortium Blockchain-based Systems

Sato,

Shimosawa,

Yamai

2024

Journal of Information Processing

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Hierarchical Blockchain Energy Trading Platform and Microgrid Management Optimization

Košt’ál,

Khilenko,

Hunák

2024

Energies

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In this paper, we describe a solution that has been developed to create an intelligent software platform for the optimal management of energy trade (specifically a P2P trade) in microgrids. Furthermore, the choice of a solution based on the architecture of two-level hierarchical systems using the restrictions and recommendations of the control center is substantiated. A general functional design of the platform is proposed using blockchain technology and cyber security solutions. The proposed solution includes the technical specification of the presented platform using the game theory model as a special case without loss of generality. The enhanced learning method was used to simulate customer behavior. Simulation of the platform operation was carried out using the example of optimizing the peak-to-average network load by users making individual decisions using game theory algorithms. The simulation results of the implementation of scenarios with and without recommendations confirmed that the proposed model provides a better peak-to-average ratio (PAR) in the network.

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Fair Billing Mechanism for Energy Consumption Scheduling with User Deviation in the Smart Grid

Cited by 4 publications

References 11 publications

User-Centric Consumption Scheduling and Fair Billing Mechanism in Demand-Side Management

User-Centric Consumption Scheduling and Fair Billing Mechanism in Demand-Side Management

BillingOpsSC: Smart Contract-based Service Billing Management Method for Consortium Blockchain-based Systems

Hierarchical Blockchain Energy Trading Platform and Microgrid Management Optimization

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