利用能量分解监测对能源、热能和储存负荷进行近乎最优控制:一个老年人住宅管理案例

IF 2.1 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Christos Tsaknakis, Christos Korkas, Kalliopi Pippi, Christos Athanasiadis, Vasiliki Alexopoulou, Elias Kosmatopoulos, Vassilis C. Nikolaidis, Theofilos Papadopoulos
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引用次数: 0

摘要

随着人口老龄化的加剧,需要先进的监测和驱动系统来智能控制和管理老年家庭,这些系统应该能够优化多目标控制问题。本研究提出了一种基于近似动态规划的最先进的方法,该方法解决了多种挑战,旨在最大限度地提高能源效率、降低电力成本、用户舒适度和典型希腊住宅的负荷监测(在EnergyPlus中模拟),包括可控和不可控负荷、储能系统和发电单元。本文介绍了各种模拟负载,希腊法规下的定价方案和各种控制策略,这些策略与当前最先进的方法相比,协调使用以最小化定义的目标函数。后者要么专注于单一目标问题,要么使用更简单的迭代,通常仅限于特定变量,多目标控制方法。最后,本文的研究结果为优化和安全的住宅管理提供了见解,并与其他需求响应策略进行了比较,验证了所提出的控制策略的性能,在能源效率、成本降低和热舒适方面提高了20%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Nearly-optimal control for energy, thermal, and storage loads with energy disaggregation monitoring: A case of residential management for the elderly

Nearly-optimal control for energy, thermal, and storage loads with energy disaggregation monitoring: A case of residential management for the elderly

The increase in the ageing of the population calls for advanced monitoring and actuation systems for the smart control and management of elderly households that should manage to optimise multi-objective control problems. This study proposes a state-of-art approach, based on Approximate Dynamic Programming, that tackles multiple challenges, aiming to maximise the energy efficiency, the electricity cost reduction, the user comfort, and the load monitoring of a typical Greek residency (simulated in EnergyPlus), including both controllable and uncontrollable loads, an energy storage system, and power generation units. The article presents the various simulated loads, pricing schemes under Greek regulations and variety of control strategies that are co-ordinately used to minimise the defined objective functions in contrast to the current state-of-the-art approaches. The latter either focus on single objective problems or use simpler iterative and often limited to specific variables, approaches for multi-objective control. Finally, the presented results provide insights for the optimal and safe residential management and validate the performance of the proposed control strategy in comparison with alternative demand response strategies, offering improved performance by 20% in terms of energy efficiency, cost reduction, and thermal comfort.

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来源期刊
IET Smart Cities
IET Smart Cities Social Sciences-Urban Studies
CiteScore
7.70
自引率
3.20%
发文量
25
审稿时长
21 weeks
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