Real time optimal schedule controller for home energy management system using new binary backtracking search algorithm

Ahmed, Maytham S.; Mohamed, Azah; Khatib, Tamer; Shareef, Hussain; Homod, Raad Z.; Ali, Jamal Abd

doi:10.1016/j.enbuild.2016.12.052

Cited by 174 publications

(90 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Control factor of the population to the equation of variation A solution for improvement in the algorithm in terms of convergence speed and precision was obtained. BBSA [36], M.S. Ahmed et al…”

Section: Convergence Precision and Speedmentioning

confidence: 99%

“…In [36], a new algorithm, binary BSA (BBSA), which is based on BSA was proposed for home energy consumption management. The proposed algorithm used an optimal real-time schedule controller for managing the energy consumption at home.…”

Section: Bbsamentioning

confidence: 99%

“…BBSA shows promising results to solve the binary problem because it reduces the cost of power generation, minimises the loss of power, delivers high-quality and reliable power to the loads, and has priority-based sustainable microgrids in the grid. In another piece of research, BBSA was used to solve the optimal scheduling and control problem to manage home energy systems [36]. The BBSA scheduling controller showed improved performance compared to the scheduling controller of BPSO to minimise energy use, electricity bill, and energy expenditure.…”

Section: Binary Optimisationmentioning

confidence: 99%

See 2 more Smart Citations

Operational framework for recent advances in backtracking search optimisation algorithm: A systematic review and performance evaluation

Hassan

Rashid

2020

Applied Mathematics and Computation

View full text Add to dashboard Cite

Backtracking search optimisation algorithm (BSA) is a commonly used meta-heuristic optimisation algorithm and was proposed by Civicioglu in 2013. When it was first used, it exhibited its strong potential for solving numerical optimisation problems. Additionally, the experiments conducted in previous studies demonstrated the successful performance of BSA and its non-sensitivity toward the several types of optimisation problems.This success of BSA motivated researchers to work on expanding it, e.g., developing its improved versions or employing it for different applications and problem domains. However, there is a lack of literature review on BSA; therefore, reviewing the aforementioned modifications and applications systematically will aid further development of the algorithm. This paper provides a systematic review and meta-analysis that emphasise on reviewing the related studies and recent developments on BSA. Hence, the objectives of this work are twofold: (i) First, two frameworks for depicting the main extensions and the uses of BSA are proposed. The first framework is a general framework to depict the main extensions of BSA, whereas the second is an operational framework to present the expansion procedures of BSA to guide the researchers who are working on improving it. (ii) Second, the experiments conducted in this study fairly compare the analytical performance of BSA with four other competitive algorithms: differential evolution (DE), particle swarm optimisation (PSO), artificial bee colony (ABC), and firefly (FF) on 16 different hardness scores of the benchmark functions with different initial control parameters such as problem dimensions and search space. The experimental results indicate that BSA is statistically superior than the aforementioned algorithms in solving different cohorts of numerical optimisation problems such as problems with different levels of hardness score, problem dimensions, and search spaces. This study can act as a systematic and meta-analysis guide for the scholars who are working on improving BSA.In artificial intelligence (AI), besides the existing traditional symbolic and statistical methods [1], computational intelligence (CI) has emerged as a recent research area [2]. According to [3], CI deals with collections of nature-inspired algorithms and approaches that in turn have been used to deal with complex practical problems that cannot be feasibly or effectively solved by traditional methods. CI comprises three subfields: fuzzy logic, evolutionary computation, and neural network.The concept of swarm intelligence (SI) is a part of evolutionary computation. It deals with artificial and natural systems that comprise several individuals and possess the ability of self-organisation and decentralised control.This concept, which was primarily initiated by Gerardo Beni and Jing Wang in 1989 in the context of cellular robotic systems, is used in AI [4]. Typically, the SI system comprises a collection of agents. The agents interact with their own environment or with each other. SI syst...

show abstract

Section: Convergence Precision and Speedmentioning

confidence: 99%

Section: Bbsamentioning

confidence: 99%

Section: Binary Optimisationmentioning

confidence: 99%

See 1 more Smart Citation

Operational framework for recent advances in backtracking search optimisation algorithm: A systematic review and performance evaluation

Hassan

Rashid

2020

Applied Mathematics and Computation

View full text Add to dashboard Cite

show abstract

“…• (REFFPP06): Advanced network decisions and predictions [41], control algorithms and concatenated coding (for communication purposes with a typical of 20% lower power dissipation) [42] [43] [44] should be used for the optimal management of energy systems producing the lowest possible carbon footprint [45].…”

Section: Key Protocol Points Of Reduced Ecological Footprints Of Facimentioning

confidence: 99%

Reduced Ecological Footprints of Modern Facilities Introducing the Implementation of Advanced Wireless Technologies, and Human Resources’ Benefits

Chronopoulos¹,

Kosma²,

Tafiadis³

et al. 2018

View full text Add to dashboard Cite

The necessity of lowering the mean power consumption of various facilities, due to the lack of their enormous future energy needs, led to an ongoing advance of various technologies. These technologies have been oriented towards the concept of a Reduced Ecological Footprint. Massive structures (such as building complexes and hospitals) have been redesigned and upgraded; many interior designs have been dramatically altered while new electronic devices are constantly being produced in order to revolutionize a long term perspective towards a "Green Planet" while they exhibit astonishing signal processing. Consequently, an enormous technology already exists which needs to be properly combined to a proposed methodology and to new ideas relevant to systems' administration through automatic wireless control. This paper intends to reduce the gap between design and realization of the aforementioned research. Consequently, the primary contribution of this research is the proposal of a complete design protocol with minimized defects relevant to Reduced Ecological Footprints of Facilities (REFF) along with its beneficial advantages relevant to providing a healthy and productive work environment. This protocol consists of four main parts which are 1) the main key points-guidelines, 2) its objectives, 3) the know-how methodology for implementation in existing installa-

show abstract

“…The deeper the discharge of a battery, the shorter it's life. The importance of load management in power system and home electric automation is great.Load management can be simply referred to as the way of changing load profile by the action of the customer in her usage or application of some techniques in order to gain from reduced total system peak load, raise load factor and improved utilization of valuable resources like generation, transmission, and distribution capacity [4].In residential energy, a lot of methods and designs have been applied to control and save energy consumption.Demand side management was applied by [5] [6] in order to manage appliance energy consumption.Likewise [7] used automation system to reschedule the appliance to save consumption and optimise the cost as well.Also, many machine learning approach where use like neural network as in [8], Particle swarm optimization as in [9] in order to schedule appliances demand in automation . Instability occurs as a result of big demand and the number of the appliances on the system.…”

mentioning

confidence: 99%

Investigation on the Needs of Photovoltaic System in Rural Area in Ibadan Nigeria

L.O.A¹

2018

IJRASET

View full text Add to dashboard Cite

Whenever the system is operating higher than its limit ,can decrease its lifespan and lead to failure.With this, assessments and calculations on standalone PV-system component based on the field assessment and performances in an area in Ibadan, Nigeria. Using relevant formulae to calculate the requirement for each component that constitutes the stand-alone PV-system. The battery as an essential component of the micro grid, its life depends on both depth and rate of discharge. And the result we got shows the abused of components involves the installation especially the battery.The paper suggest an intelligent system to take care of the excess load at a particular time which also will take into account priority of the appliances at the time in relation to the capacity and charge of the battery to control the appliances. Keynote: PV-system, intelligent system, load, battery. I.INTRODUCTION In most of developing country today there is a persistent problem of inefficient use of electrical power generation and transmission assets. With a lot of energy resources in Nigeria, more than 40 % does not have access to the national grid [1]. Apart from this, the use of hydrocarbon has caused a lot of health problem from a byproduct of this energy generation. The next solution to solve this problem is embracement of renewable energy. And most of the areas normally rich in renewable energy especially Africa, which makes it promising to solve power supply problems by using renewable energy and establishing island microgrid systems. Solar energy is one of the endless unsoiled and prospective energy as a gift from nature among all other nonconventional energy options. Since now most developments are concentrated and focus on the development of renewable energy worldwide. To give room for sustainability of it is necessary to do the technical assessment of the resources for those using it and get discouraged due to the unbalanced installment and calculation[2] [3]. There are many factors that lead to challenges facing by quality and efficiency of renewable energy apart from variation in temperature as we want to observe. The battery is very important in renewable energy due to intermittent nature of the sun. We have various types of storage element but in most of the residential use of the renewable energy, they are using Pb-acid batteries. Charge and discharge of this battery are important. The lifespan of the battery depending on the average Depth of Discharge (DOD) which is the percentage of the rated capacity which utilized per circle. The deeper the discharge of a battery, the shorter it's life. The importance of load management in power system and home electric automation is great.Load management can be simply referred to as the way of changing load profile by the action of the customer in her usage or application of some techniques in order to gain from reduced total system peak load, raise load factor and improved utilization of valuable resources like generation, transmission, and distribution capacity [4].In resi...

show abstract

Real time optimal schedule controller for home energy management system using new binary backtracking search algorithm

Cited by 174 publications

References 45 publications

Operational framework for recent advances in backtracking search optimisation algorithm: A systematic review and performance evaluation

Operational framework for recent advances in backtracking search optimisation algorithm: A systematic review and performance evaluation

Reduced Ecological Footprints of Modern Facilities Introducing the Implementation of Advanced Wireless Technologies, and Human Resources’ Benefits

Investigation on the Needs of Photovoltaic System in Rural Area in Ibadan Nigeria

Contact Info

Product

Resources

About