Active consumer: Optimization problems of power consumption and self-generation

Volkova, Irina; Gubko, M. V.; Salnikova, Ekaterina

doi:10.1134/s0005117914030114

Cited by 9 publications

(5 citation statements)

References 6 publications

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“…Некоторые разработчики к генераторам электрической энергии добавляют еще децентрализованные аккумуляторные батареи, которые обеспечивают накопление электроэнергии в определенные промежутки времени [8]. Другие -к уже перечисленным элементам добавляют активные потребители, которые могут быть включены или отключены по команде из единого информационного центра [9,10]. Основная особенность VPP заключается в возможности осуществлять дистанционное управление энергопотоками с помощью современных программных систем, предоставляющих конечному пользователю данные, необходимые для принятия решения, а также возможность быстро реагировать на постоянно меняющуюся нагрузку [11,12].…”

Section: назначение состав и особенности виртуальной электростанцииunclassified

Improving the Efficiency of a Hybrid Electric Power Plant by Means of a Virtual Power Plant

2019

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Рис. 8. График работы двух дизельгенераторов при использовании активных потребителей в режиме задержки повышения мощности Новых А.В., Свириденко И.И., Повышение эффективности гибридной электростанции Гоголев Г.В. с помощью виртуальной электростанции

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Section: назначение состав и особенности виртуальной электростанцииunclassified

Improving the Efficiency of a Hybrid Electric Power Plant by Means of a Virtual Power Plant

2019

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“…Two sorts of optimization criteria are met in the literature on automatic scheduling of home appliances: in Conejo et al (2010), Ferreira et al (2012), Lujano-Rojas et al (2012), Volkova et al (2014) user preferences over home appliance use schedules are represented with a utility function, while in Bradac et al (2014), Mohsenian-Rad and Leon-Garcia (2010), and in Sou et al (2011) electricity bill is minimized while user preferences impose constraints on feasible schedules. Most papers assume a priori knowledge of the utility function, whereas in the present paper it is learned from consumer's actions.…”

Section: Automatic Control Of Home Appliancesmentioning

confidence: 99%

Bayesian Learning of Consumer Preferences for Residential Demand Response

et al. 2016

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Abstract:In coming years residential consumers will face real-time electricity tariffs with energy prices varying day to day, and effective energy saving will require automation -a recommender system, which learns consumer's preferences from her actions. A consumer chooses a scenario of home appliance use to balance her comfort level and the energy bill. We propose a Bayesian learning algorithm to estimate the comfort level function from the history of appliance use. In numeric experiments with datasets generated from a simulation model of a consumer interacting with small home appliances the algorithm outperforms popular regression analysis tools. Our approach can be extended to control an air heating and conditioning system, which is responsible for up to half of a household's energy bill.

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“…power supply company, as well. The company becomes capable of encouraging consumers to actively manage their electricity consumption [3][4][5][6][7][8] by establishing price options in real time. The interaction between the power supply company and consumers requires coordination of their operating conditions.…”

Section: Introductionmentioning

confidence: 99%

“…In some statements of the problem, consumers are allowed to supply any electricity surplus back to the network [16]. There are statements dealing with an additional generation of electricity, when consumers can only shift load from the peak time via changing their production process, in particular, by using electricity storage systems or by automating the production process [4].…”

Section: Introductionmentioning

confidence: 99%

A mechanism for encouraging active consumers to optimize the operations of power supply systems

2017

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Abstract. We propose to analyze an interaction of power supply company and consumers as a game in which the retailer's goal is to maximize its profit, and the consumer's goal is to maximize its utility. The utility function of each consumer is described proceeding from the form of the loss function of the consumer, and one of our goals in the submitted paper is to find how to describe this load function mathematically. We want to develop an economic mechanism that help the power retailer to find an optimal strategy on the set of possible loads and tariffs. They should satisfy a set of constraints binding these two variables by natural requirements imposed on the values of the consumer utility functions.

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Active consumer: Optimization problems of power consumption and self-generation

Cited by 9 publications

References 6 publications

Improving the Efficiency of a Hybrid Electric Power Plant by Means of a Virtual Power Plant

Improving the Efficiency of a Hybrid Electric Power Plant by Means of a Virtual Power Plant

Bayesian Learning of Consumer Preferences for Residential Demand Response

A mechanism for encouraging active consumers to optimize the operations of power supply systems

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