Energy management algorithm for smart home with renewable energy sources

Boynueğri, Ali Rıfat; Yağcıtekin, Bünyamin; Baysal, Mustafa; Karakaş, Arif; Uzunoğlu, Mehmet

doi:10.1109/powereng.2013.6635883

Cited by 55 publications

(20 citation statements)

References 6 publications

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“…Boynuegri et al [21] defined a load-shifting algorithm for home energy management (HEM) whereby the centre of control is dependent on the SOC of the batteries. By introducing these peak-shaving and load-shifting techniques, a 25% saving was evident from these simulation results.…”

Section: Energy Management Systems and Methodsmentioning

confidence: 99%

Development of an Energy Management System Control Algorithm for a Remote Community Microgrid System

Vosloo¹,

Raji²

2016

Energy Management of Distributed Generation Systems

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Section: Energy Management Systems and Methodsmentioning

confidence: 99%

Development of an Energy Management System Control Algorithm for a Remote Community Microgrid System

Vosloo¹,

Raji²

2016

Energy Management of Distributed Generation Systems

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“…Boynuegri et al [26] developed a load management mechanism based on a DR event model and multirate tariffs to respond to utility peaks and decrease energy bills for consumers by shifting loads to cheap tariff periods. Chavali et al [27] adopted an algorithm that schedules the appliance operation as per the price signal.…”

Section: Hems Algorithms Based On Load Power Shiftingmentioning

confidence: 99%

Unified Algorithm for Demand-Side Appliance Commitment

et al. 2018

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Recent energy efficiency and conservation programs have created an unprecedented demand for home energy management systems (HEMS) in the residential sector aimed at reducing electricity consumption and saving on electricity bills. This paper gives a brief review of the basic algorithms found in the literature for HEMS that target optimum scheduling for home appliances participating in demand response (DR) programs. The working principles, as well as the pros and the cons, of these algorithms are explained and analyzed. Then, a unified algorithm to manage the hourly power consumption of home appliances on a daily basis is suggested using two scenarios. The first scenario aims to simultaneously achieve dual utility/customer benefits while avoiding the individual drawbacks of each presented algorithm. The second scenario aims to actively involve DR customers in making the optimum decision regarding their appliances in the face of their dynamic desires. The proposed algorithm is generic in the sense that it has the ability to achieve three different objectives for dual utility/customer benefits. Moreover, the paper takes into consideration a range of constraints, such as load priority, customer preferences, utility request, and electricity dynamic pricing scheme. The essential goal of this algorithm is not only to curtail or control the power consumption of appliances but to also shift it to a better price period based on different tariff rates. The results reflect the effectiveness of the proposed algorithm, which extends the previous findings in the literature by considering a wider range of limitations applied on HEMS.

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“…al [9], a system was proposed for a house equipped with solar PV panels, wind turbines and battery banks along with all electric inhome appliances and a power grid connection. An algorithm is suggested that monitors the state of charge (SoC) of the batteries which were charged from renewable energy sources only.…”

Section: Review Of Existing De-centralised Dsm Unitsmentioning

confidence: 99%

Design of an Appliance Switch Responding to Solar Energy

Koshti¹,

Williams²

2017

REPQJ

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Abstract:Knowing the ill effects of dependence upon conventional resources for generation of energy, the world is already making an effort to harness energy from renewable energy sources. However, the use of conventional resources is not fully eliminated from daily lives of people as the renewable energy sources are limited due to their intermittent nature.The paper presents a unique technique of Demand Side Management (DSM) for a domestic consumer whose house is equipped with on-grid solar PV panel system. DSM is the management of energy needs according to its availability. The paper deals with designing of an automated switch which is an adapter and can be inserted into standard 13amp socket. The adapter is equipped with a sensor that transmits data to it. The smart solar switch can detect surplus power generated by the PV system and it controls non-priority loads in the house depending upon the amount of surplus power. The designed switch provides an automatic, fast, easy to install and safe option for customers who want to increase their use of solar energy. Its performance was tested in a lab setup as well as in real time scenario in a home.

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Energy management algorithm for smart home with renewable energy sources

Cited by 55 publications

References 6 publications

Development of an Energy Management System Control Algorithm for a Remote Community Microgrid System

Development of an Energy Management System Control Algorithm for a Remote Community Microgrid System

Unified Algorithm for Demand-Side Appliance Commitment

Design of an Appliance Switch Responding to Solar Energy

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