A Privacy-Preserving Online Learning Approach for Incentive-Based Demand Response in Smart Grid

Chen, Wenbo; Zhou, Anni; Zhou, Pan; Gao, Liang; Ji, Shouling; Wu, Dapeng

doi:10.1109/jsyst.2018.2883448

Cited by 26 publications

(9 citation statements)

References 24 publications

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“…VPPs can coordinate and orchestrate responsive demands to integrate them in the two-sided market, and provide new value streams to customers and other stakeholders. By being aggregated Australia DR program [68] [8], [9], [10], [11], [12], [13], [14], [15] , [16], [17], [55], [57], [60], [61], [62], [63], [64], [65], [66] VPP [6], [18], [19], [20], [21], [22], [70], [71], [72], [74], [75], [76], [ [23], [24], [25], [26], [27], [40], [85], [86], [88], [89], [90], [91], [92], [93] , [94], [95], [96], [97],…”

Section: Discussionmentioning

confidence: 99%

“…In [63], an incentive mechanism is proposed, which uses differentiated revenue price that is influenced by the response of each end-user. An online privacy-preserving incentivebased approach is proposed in [64], in which a recommender system is used to select the optimal customers for demand reduction offer. A blockchain-based negawatt trading platform is proposed in [65], in which buildings can offer their demand reduction to a DR aggregator.…”

Section: ) Overviewmentioning

confidence: 99%

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Paving the Path for Two-Sided Energy Markets: An Overview of Different Approaches

et al. 2020

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The transition in the energy sector, initiated by increasing uptake of distributed energy resources (DER) and grid digitization, provides opportunities to improve energy efficiency through electricity market reformation. The development of a two-sided market allows delivering benefits of improved efficiency to energy customers. This paper discusses the opportunities and challenges related to transitioning to a two-sided energy market. The drivers to move toward a two-sided market, the benefits that this market can provide for different stakeholders, and enabling technologies for this transition are studied. An overview of different approaches that lay the groundwork for two-sided markets, including demand response (DR), virtual power plants (VPPs), peer-to-peer (P2P) trading, and transactive energy (TE) is provided. A classification of different approaches, along with examples of academic and industrial works, are presented to give some insights on the way each approach can pave the path to the market reformation. Finally, different approaches are compared and some of the challenges that need to be addressed in future works are identified. INDEX TERMS Demand response, distributed energy resources (DER), negawatt trading, peer-to-peer (P2P) trading, transactive energy (TE), two-sided market, virtual power plant (VPP).

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Section: Discussionmentioning

confidence: 99%

Section: ) Overviewmentioning

confidence: 99%

Paving the Path for Two-Sided Energy Markets: An Overview of Different Approaches

et al. 2020

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“…In [29], a fog computing-based smartgrid security and privacy protection data aggregation scheme using a multilayer aggregation model of cloud-fog cooperation and a homomorphic encryption algorithm was proposed for multilayer privacy protection of the real-time data of smart meters. Chen et al [30] proposed a differential private optimal customer recommendation (DP-OCR) algorithm that guaranteed the differential privacy of sensitive customer information extracted from smart meters. To ensure the security of user identity authentication, Guo et al [31] proposed dynamic cryptographic technology based on OpenID to authenticate DR power suppliers and power consumers, in which role-based access control (RBAC) assigned roles and corresponding permissions according to identity authentication results to prevent fake users and malicious users from disrupting normal operation of DR services.…”

Section: Privacy Protection Technology For Secure Vpp Communicationmentioning

confidence: 99%

Overview and prospect of information and communication technology development in virtual power plants

Wang

Bai

et al. 2022

Energy Conversion and Econom

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As a new energy‐supply service solution to address massive, distributed energy access to the power system, a virtual power plant has higher transmission reliability and real‐time communication requirements. To achieve collaborative optimisation, distributed load and energy resources must be aggregated using new information and communication technology. This study analyses underlying communication technologies for virtual power plant interaction from the perspective of standardisation, efficiency, reliability, and security, summarises the application of blockchain, cloud‐edge collaboration, machine learning, and other new information and communication technologies in virtual power plant energy trading, interaction, and scheduling, and proposes ideas for addressing shortcomings in interaction. To improve virtual power plant interaction, performance parameter mapping between communication and business technology, and multilevel virtual power plant interaction technology are proposed.

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“…In general, incentive-based demand response can be considered as a programme that requests consumers to hand in the load control rights to utilities with some contracted limits and incentives [26]. This category requires more effort from the utility side to take into consideration the system reliability, economic dispatch, consumer comfort, and so on.…”

Section: B Drm Optionsmentioning

confidence: 99%

A Review on Communication Aspects of Demand Response Management for Future 5G IoT- Based Smart Grids

2021

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In recent power grids, the need for having a two-way flow of information and electricity is crucial. This provides the opportunity for suppliers and customers to better communicate with each other by shifting traditional power grids to smart grids (SGs). In this paper, demand response management (DRM) is investigated as it plays an important role in SGs to prevent blackouts and provide economic and environmental benefits for both end-users and energy providers. In modern power grids, the development of communication networks has enhanced DRM programmes and made the grid smarter. In particular, with progresses in the 5G Internet of Things (IoT), the infrastructure for DRM programmes is improved with fast data transfer, higher reliability, increased security, lower power consumption, and a massive number of connections. Therefore, this paper provides a comprehensive review of potential applications of 5G IoT technologies as well as the computational and analytical algorithms applied for DRM programmes in SGs. The review holistically brings together sensing, communication, and computing (optimization, prediction), areas usually studied in a scattered way. A broad discussion on various DRM programmes in different layers of enhanced 5G IoT based SGs is given, paying particular attention to advances in machine learning (ML) and deep learning (DL) algorithms alongside challenges in security, reliability, and other factors that have a role in SGs' performance.INDEX TERMS Smart grid, demand response management, 5G , Internet of Things

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A Privacy-Preserving Online Learning Approach for Incentive-Based Demand Response in Smart Grid

Cited by 26 publications

References 24 publications

Paving the Path for Two-Sided Energy Markets: An Overview of Different Approaches

Paving the Path for Two-Sided Energy Markets: An Overview of Different Approaches

Overview and prospect of information and communication technology development in virtual power plants

A Review on Communication Aspects of Demand Response Management for Future 5G IoT- Based Smart Grids

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