Algorithms for Smart Grid management

Marah, Rim; Hibaoui, Abdelaaziz El

doi:10.1016/j.scs.2018.01.041

Cited by 23 publications

(5 citation statements)

References 10 publications

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“…The consumption peaks can be regulated, considering priorities and without exceeding the available energy, by controlling the priority of domestic appliances, spreading at best the energy. Marah and El Hibaoui [10] attempt to solve this problem by proposing an algorithm with two phases, a priority management phase, and a branch and bound phase, relevant for addressing the underlying knapsack (rucksack) problem.…”

Section: Literature Reviewmentioning

confidence: 99%

Sliding Time Window Electricity Consumption Optimization Algorithm for Communities in the Context of Big Data Processing

2019

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Big data frameworks enable companies from various fields to build models that allow them to increase profit margins by improving decision making at different levels (middle management, senior management, and board) or by attempting to boost sales by customizing consumers' experience based on their history and feedback. Institutions and other entities also use big data coming from all kinds of sensors, data that can be used to detect, in real time or in retrospect, possible problems (e.g., frauds, malfunctions, and supply shortages), or to identify patterns and trends. In this paper, we organize large volumes of community electricity consumption data coming from smart meters, smart plugs, and other sensors, but also data regarding consumers' preferences in order to assist them to dynamically optimize their electricity consumption. In this regard, we develop a novel optimization approach that reschedules every fifteen min the appliances for residential consumers to reduce both the consumption peaks and the payments at the community level. The consumers send their day-ahead schedule that is optimized and further implemented to some extent. Thus, we monitor the electricity consumption via sensors and smart meters and dynamically adjust the schedule in case the real consumption deviates from the optimized plan, considering appliances constraints and consumers' preferences. Every fifteen min, the algorithm evaluates the differences between the optimized schedule and the actual consumption and controls the operation of the interruptible appliances to stick with the day-ahead schedule as much as possible.

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Section: Literature Reviewmentioning

confidence: 99%

Sliding Time Window Electricity Consumption Optimization Algorithm for Communities in the Context of Big Data Processing

2019

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“…Knapsack problem with Branch and Bound algorithm are approached to maximize the customer with the limited power supply (Marah & El Hibaoui, 2018). To solve the routing problem and to manage the power flow Max-Flow algorithm is introduced.…”

Section: Recommended Algorithmsmentioning

confidence: 99%

“…Generation, transmission and distribution are the main subsystems in electric grid (Hamidi, Smith, & Wilson, 2010). Intelligence added to the existing electric grid is called Smart Grid (Marah & El Hibaoui, 2018). Smart Grid (SG) includes the unification of wind and solar energy which requires quality-of-supply (QoS), storage facility, power management and monitoring to empower bidirectional communication between the grid system and the customer devices (Colak, 2016) (H. Alsafasfeh, 2015).…”

Section: Introductionmentioning

confidence: 99%

Integration of 5G Technologies in Smart Grid Communication-A Short Survey

Chandrasekaran

Gunamony

Pratap

2019

Int. J. Renew. Energy Dev.

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Smart grid is an intelligent power distribution system that employs dual communication between the energy devices and the substation. Dual communication helps to overseer the internet access points, energy meters, and power demand of the entire grid. Deployment of advanced communication and control technologies makes smart grid system efficient for energy availability and low-cost maintenance. Appropriate algorithms are analyzed first for the convenient grid to have proper routing and security with a high-level of power transmission and distribution. Information and Communication Technology plays a significant role in monitoring, demand response, and control of the energy distribution. This paper presents a broad review of communication and network technologies with regard to Internet of Things, Machine to Machine Communication, and Cognitive radio terminologies which comprises 5G technology. Networks suitable for future smart-grid are compared with respect to standard protocols, data rate, throughput, delay, security, and routing. Approaches adopted for the smart-grid system has been commended based on the performance and the parameters observed. ©2019. CBIORE-IJRED. All rights reserved

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“…In addition, in order to allow a further increase in the energy production and distribution efficiency, the socalled complex energy networks (i.e. electrical, thermal and cooling distribution networks) represents a key point [4]. To this respect, it is fundamental to optimize the production mix and the operation of each system, in order to maximize the renewable energies exploitation and minimize both the economic and the environmental impacts.…”

Section: Introductionmentioning

confidence: 99%

Complex energy networks: energy-ecological efficiency based evaluations towards the sustainability in energy sector

et al. 2021

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In the last years, international programs in diverse sectors and national frameworks have been driven by the need of a sustainable growth, in a green economy perspective. In order to reduce the energy losses/dissipations, as well as the fossil fuels employment and related pollutant emissions, indeed, the spread of combined heat and power units and/or renewable sources generators is promoted into both the electrical grids and the thermal networks but are often in conflict with the economic aspects. In this context, the optimal management of complex energy networks – including, in particular, smart district heating – may lead to the achievement of important goals from the environmental and sustainability viewpoints. The aim of this paper is to develop a preliminary methodology for the complete evaluation of complex energy networks, considering energy, economic and environmental aspects. With this purpose, a case study consisting in a network for the fulfillment of electrical and thermal needs of the connected users will be analyzed, considering different scenarios in terms of energy generation mix and operation and applying different optimization software. In addition, the carried out evaluations will allow to set the basis for the discussion about the future of energy policies and possible incentives towards the sustainable development of the energy sector.

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Algorithms for Smart Grid management

Cited by 23 publications

References 10 publications

Sliding Time Window Electricity Consumption Optimization Algorithm for Communities in the Context of Big Data Processing

Sliding Time Window Electricity Consumption Optimization Algorithm for Communities in the Context of Big Data Processing

Integration of 5G Technologies in Smart Grid Communication-A Short Survey

Complex energy networks: energy-ecological efficiency based evaluations towards the sustainability in energy sector

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