Power system stabilization by direct load control based on strategy-proofness and individual rationality

Sato, Ryutaro; Namerikawa, Toru

doi:10.1109/acc.2015.7172267

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…The algorithm works with all equipment that can shift, and simulation outcomes indicate that the approach rooted in the utility and consumer's target curve is more effective in reducing load peak and saving costs. a29 260 b2, b91 e63 NM d106 f1 2015 Iran NM NM [190] This paper suggests a load control method for frequency stabilization in micro-grids that prioritizes strategy proofness and individual rationality. The method uses a frequency control system with controllable loads and an electricity charge that satisfies these priorities.…”

Section: Republic Of Koreamentioning

confidence: 99%

A Survey on Direct Load Control Technologies in the Smart Grid

Ozkop

2024

IEEE Access

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The purpose of this paper is to review the scientific literature on direct load control (DLC) technology in the context of a smart grid (SG). This study synthesized and compared various articles from the literature with the aim of conducting a comprehensive analysis. This study aims to provide a detailed understanding of the landscape, recent advancements, and the relationships among various aspects within this field. The evaluation is conducted through a systematic literature review, examining recent advancements in the field. A survey of over 200 papers published between 1983 and 2022 is classified based on appliance information, aim/objective, constraint, management method and tool, implementation, and publication status. In the DLC application, the study identifies the type and population of appliances used in and the aim/objective and constraint considered. It also determines whether forecast, prediction, and estimation structures, optimization and control algorithms, and specific structures are employed. The practical aspect of the study examines various perspectives, including the modeling and presentation of the research. This involves identifying the validation methods, time period for implementation, solver, program, software, toolbox, and platform structures used during validation. Additionally, the characteristics of the database used for implementation and the location of the implementation are detailed. The publication year and the countries of the authors are also provided. Comparative relationships between these elements are presented based on the aforementioned information.

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Section: Republic Of Koreamentioning

confidence: 99%

A Survey on Direct Load Control Technologies in the Smart Grid

Ozkop

2024

IEEE Access

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Comparative Double Auction Approach for Peer-to-Peer Energy Trading on Multiple microgrids

Malik,

Thakur,

Duffy

et al. 2023

Smart Grids and Energy

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Peer-to-peer (P2P) energy trading is one of the most effective methods to increase the usage of Renewable Energy (RE) resources in the distribution network and reduce losses by eliminating long transmission and distribution lines. This research aims to enhance the efficiency of P2P energy trading by examining the suitability of four distinct double auction mechanisms: Average, McAfee, Trade Reduction and Vickrey-Clarke-Groves (VCG). We conducted a systematic evaluation of these mechanisms across various microgrid (MG) types. The study algorithm integrates user preferences, bidding strategies and time-of-use tariffs, allowing participants to indicate their willingness to pay for different energy qualities and specific time periods. Notably, both the Average and VCG mechanisms emerged as the most effective across a majority of MG setups. Specifically, the average mechanism was found to be optimal for a consumer-centric MG, while the VCG mechanism was predominantly advantageous during non-peak hours trading. However, it was observed that P2P energy trading from MG to MG was inefficient due to the lesser number of peers. In conclusion, this work offers a comprehensive solution that adeptly identifies and recommends the most fitting auction mechanisms for diverse MG configurations and usage timings, paving the way for more efficient P2P energy trading.

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Optimal Power Demand Management by Aggregator Using Mechanism Design Based on Matching Theory

Ikegami¹,

Nagami²,

Namerikawa³

2016

Transactions of the Society of Instrument and Control Engineers

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This paper deals with optimal power demand management in electricity market. First, we model the behavior of players, consumers, an aggregator, and the market. Each consumer acts to maximize his own profit. Aggregator decides how much power demand each consumer reduces if total power demand exceeds power generation constraint. We propose the way an aggregator decides it using mechanism design and matching theory. Finally, simulation results show that the algorithm can manage power demand and improve consumers' profit.

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Power system stabilization by direct load control based on strategy-proofness and individual rationality

Cited by 3 publications

References 11 publications

A Survey on Direct Load Control Technologies in the Smart Grid

A Survey on Direct Load Control Technologies in the Smart Grid

Comparative Double Auction Approach for Peer-to-Peer Energy Trading on Multiple microgrids

Optimal Power Demand Management by Aggregator Using Mechanism Design Based on Matching Theory

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