Low complexity approach for energy management in residential buildings

Ahmad, Sadiq; Naeem, Muhammad; Ahmad, Ayaz

doi:10.1002/etep.2680

Cited by 43 publications

(36 citation statements)

References 36 publications

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“…Such representations, however, lead to a larger number of variables, increasing the corresponding computational burden. In such cases, the underlying problems should be reformulated to reduce the number of variables and constraints [87]. Continuous time domain representations can also be considered (see e.g.…”

Section: A Techniquesmentioning

confidence: 99%

A Survey on Home Energy Management

et al. 2020

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Energy is a vital resource for human activities and lifestyle, powering important everyday infrastructures and services. Currently, pollutant and non-renewable sources, such as fossil fuels, remain the main source of worldwide consumed energy. The environmental impact of their exploitation has boosted research and investments in alternative, clean and renewable sources, including photovoltaic and windbased systems. As a whole, buildings are one of the major energy consumption sectors. Hence, improving energy efficiency in buildings will result in economical and environmental gains. In the case of households, home energy management systems are mainly used for monitoring real-time consumption and to schedule appliance operations so that the energy bill could be minimised, or according to another specific criterion. This work aims to survey the most recent literature on home energy management systems, providing an aggregated and unified perspective in the context of residential buildings. In addition, an updated literature list regarding commonly managed household appliances and scheduling objectives are included. Physical and operational constraints, and how they are addressed by home energy management systems along with security issues are also discussed. INDEX TERMS Energy efficiency, home energy management systems, household appliance models, load management, optimal scheduling, smart homes, security.

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Section: A Techniquesmentioning

confidence: 99%

A Survey on Home Energy Management

et al. 2020

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“…Also, the reactive power of each load node is obtained according to the power factor and the active power of the load. Moreover, constraints (36) to (41) enforce allowable bounds of players during an operation horizon time. Constraints (42) and (43) show the ramp-up/down constraints of GENCOs and also (44) and (45) represent the total powers of DISCOs and GENCOs.…”

Section: Formulationmentioning

confidence: 99%

“…However, within the electricity markets, the ISO can benefit from other options such as DSM schemes to manage the security and stability of the market. 36 The main problem is that the WPP intermittent happens during the peak load hours and therefore, the DSM technologies can be considered to reduce the consumption in such hours. 37 For this reason, this article proposes a collaborative FACTS and DR program to alleviate the congestion of wind integrated transmission networks under the liberalized electricity market.…”

Section: Data and Case Studymentioning

confidence: 99%

InteractiveFACTSand demand response program as an incremental welfare consensus for maximizing wind power penetration

Gazijahani

Ghaemi

Farrokhifar

et al. 2020

Int Trans Electr Energ Syst

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This article deals with congestion management of transmission networks to maximize the penetration of wind power by proposing an incremental welfare consensus algorithm based on flexible alternating current transmission systems (FACTS) and demand response (DR) program. The proposed model takes the locational marginal prices as an input to manage both FACTS device and DR resources. To this end, an innovative two-stage market-clearing procedure is developed. Where in the first stage, the players bid to the market aimed at maximizing their profit, and the independent system operator clears the market based on social welfare maximization. In the second stage, a generation redispatch problem is executed in which FACTS device controllers and incentivebased DR are optimally coordinated to minimize the rescheduling costs of generation companies. Two distinct types of FACTS devices consisting of thyristor controlled series capacitor and static synchronous compensator are utilized here. Finally, a case study is accomplished on the modified IEEE one-area 24-bus reliability test system. The results achieved from simulations confirm that the proposed interactive DR and FACTS model not only alleviates the congestion of the system, but also increases the flexibility of the system to harvest the wind power as much as possible.

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“…Various DSM schemes have been utilized to manage consumer load. A dynamic programming based DSM scheme was suggested by the authors of [89,109]. In this algorithm, the consumer's profit is maximized and the overall cost of production by using the smart distributed network is minimized.…”

Section: Load Schedulingmentioning

confidence: 99%

A Compendium of Performance Metrics, Pricing Schemes, Optimization Objectives, and Solution Methodologies of Demand Side Management for the Smart Grid

Ahmad

Naeem

et al. 2018

Energies

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The curtailing of consumers’ peak hours demands and filling the gap caused by the mismatch between generation and utilization in power systems is a challenging task and also a very hot topic in the current research era. Researchers of the conventional power grid in the traditional power setup are confronting difficulties to figure out the above problem. Smart grid technology can handle these issues efficiently. In the smart grid, consumer demand can be efficiently managed and handled by employing demand-side management (DSM) algorithms. In general, DSM is an important element of smart grid technology. It can shape the consumers’ electricity demand curve according to the given load curve provided by the utilities/supplier. In this survey, we focused on DSM and potential applications of DSM in the smart grid. The review in this paper focuses on the research done over the last decade, to discuss the key concepts of DSM schemes employed for consumers’ demand management. We review DSM schemes under various categories, i.e., direct load reduction, load scheduling, DSM based on various pricing schemes, DSM based on optimization types, DSM based on various solution approaches, and home energy management based DSM. A comprehensive review of DSM performance metrics, optimization objectives, and solution methodologies is’ also provided in this survey. The role of distributed renewable energy resources (DERs) in achieving the optimization objectives and performance metrics is also revealed. The unpredictable nature of DERs and their impact on DSM are also exposed. The motivation of this paper is to contribute by providing a better understanding of DSM and the usage of DERs that can satisfy consumers’ electricity demand with efficient scheduling to achieve the performance metrics and optimization objectives.

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Low complexity approach for energy management in residential buildings

Cited by 43 publications

References 36 publications

A Survey on Home Energy Management

A Survey on Home Energy Management

InteractiveFACTSand demand response program as an incremental welfare consensus for maximizing wind power penetration

A Compendium of Performance Metrics, Pricing Schemes, Optimization Objectives, and Solution Methodologies of Demand Side Management for the Smart Grid

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