On the problem of controlling shiftable prosumer devices with price signals

Ruthe, Sebastian; Rehtanz, Christian; Lehnhoff, Sebastian

doi:10.1016/j.ijepes.2015.02.014

Cited by 11 publications

(3 citation statements)

References 15 publications

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“…On the other hand, a "smart prosumer" possesses the capability to generate surplus energy using resources like photovoltaic (PV) systems or energy storage batteries. This surplus energy can be intelligently managed and, when necessary, sold back to the grid to generate revenue [14]. This paradigm shift from the traditional passive home model, where households were primarily consumers of electricity, has introduced a new level of complexity.…”

Section: Integration Of Iot Technologies and Modern Energy Management...mentioning

confidence: 99%

Determining the Factors Affecting Solar Energy Utilization in Saudi Housing: A Case Study in Makkah

Barnawi,

Zohdy,

Hawsawi

2023

Energies

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This research paper examines the adoption of solar energy in residential buildings throughout Saudi Arabia, with a specific emphasis on Makkah. Despite the immense global demand for energy and growing environmental concerns, the adoption of solar energy in Saudi housing remains relatively low. While previous studies have examined the potential, feasibility, and policy support for solar energy, this research uniquely approaches the issue from the perspective of customers on a national scale. The study aims to identify the factors that influence customers’ intentions to use solar energy in Saudi Arabia, contributing to the development of a sustainable circular supply chain for renewable energy. To achieve this, the research integrates the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). An online questionnaire was distributed, garnering responses from a total of 250 participants. A regression analysis was employed to analyze the data and examine the relationships between the proposed hypotheses. The study’s findings reveal that four critical factors wield significant influence over consumer behavior and their decisions regarding the adoption of solar PV technology. These factors are: Social Influence (SI), Performance Expectancy (PE), Effort Expectancy (EE), and Facilitating Conditions (FC).

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Section: Integration Of Iot Technologies and Modern Energy Management...mentioning

confidence: 99%

Determining the Factors Affecting Solar Energy Utilization in Saudi Housing: A Case Study in Makkah

Barnawi,

Zohdy,

Hawsawi

2023

Energies

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“…To fully achieve these benefits, it is crucial to devise control schemes that coordinate the operation of flexible devices, possibly aligning the objectives of individual users with the global welfare of the system [2]. Given the reduced scalability of centralized control approaches, a wide array of distributed techniques have been proposed for large populations of agents, such as adaptive strategies [3] or stochastic pricing [4]. Following the seminal papers [5], [6], [7], the flexible demand coordination problem has been tackled with game-theory tools, modelling the single loads as self-interested agents that compete for power consumption at cheapest prices.…”

Section: Introductionmentioning

confidence: 99%

Distributed Coordination of Price-Responsive Electric Loads: A Receding Horizon Approach

Paola

Fele

Angeli

et al. 2018

2018 IEEE Conference on Decision and Control (CDC)

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This paper presents a novel receding horizon framework for the power scheduling of flexible electric loads performing heterogeneous periodic tasks. The loads are characterized as price-responsive agents and their interactions are modelled through an infinite-time horizon aggregative game. A distributed control strategy based on iterative better-response updates is proposed to coordinate the loads, proving its convergence and global optimality with Lyapunov stability tools. Robustness with respect to variations in the number and tasks of players is also ensured. Finally, the performance of the control scheme is evaluated in simulation, coordinating the daily battery charging of a large fleet of electric vehicles.

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“…Their operation strategies will increase aggregate power demand and electricity prices at those times, resulting in suboptimality of their original power scheduling. Different schemes have been devised to avoid synchronisation: (Ruthe, Rehtanz, & Lehnhoff, 2015) proposes to broadcast a randomised price to each appliance whereas (Boait, Ardestani, & Snape, 2013) introduces randomness on the controllers of the individual devices, considering an intermediate entity (aggregator) between the energy market and the individual customer. This paper follows an approach similar to (Papadaskalopoulos & Strbac, 2013), which introduces a proportional constraint on the power rate of the devices in order to saturate flexible demand at certain time instants and avoid rebound peaks.…”

Section: Introductionmentioning

confidence: 99%

Distributed schemes for efficient deployment of price-responsive demand with partial flexibility

Paola

Angeli

Štrbac

2017

Journal of Control and Decision

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This paper presents novel methodologies for efficient deployment of flexible demand. Large populations of price-responsive loads are coordinated through a price signal and a power constraint broadcast by a central entity. Such quantities are designed in order to minimise a global objective function (e.g. total generation costs) and ensure a one-step convergence to a stable solution, characterised as a Nash equilibrium. Conditions for the sought equilibrium are preliminarily expressed as monotonicity of demand profiles under reordered coordinates and then they are imposed as constraints of a global optimisation, whose solution is calculated numerically. To reduce the computational complexity of the problem in scenarios with high penetration of flexible demand, clustering of the appliances is introduced. The global properties of the final stable solution and its optimality with respect to the task times of the appliances are analysed both theoretically and through simulation results.

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On the problem of controlling shiftable prosumer devices with price signals

Cited by 11 publications

References 15 publications

Determining the Factors Affecting Solar Energy Utilization in Saudi Housing: A Case Study in Makkah

Determining the Factors Affecting Solar Energy Utilization in Saudi Housing: A Case Study in Makkah

Distributed Coordination of Price-Responsive Electric Loads: A Receding Horizon Approach

Distributed schemes for efficient deployment of price-responsive demand with partial flexibility

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