An Intelligent Power Management Investigation for Stand-alone Hybrid System Using Short-time Energy Storage

Sami, Ben Slama

doi:10.11591/ijpeds.v8.i1.pp367-375

Cited by 9 publications

(3 citation statements)

References 28 publications

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“…Investments and participation in complementary, clean, and renewable sources, such as wind and solar systems, have grown in tandem with their environmental consequences [ 1 ]. However, present usage surpasses natural regeneration, resulting in resource depletion unless more resources or alternatives are utilized [ 2 ]. To address these problems, it is critical to understand clean, alternative, and renewable energy sources and energy efficiency and sustainability.…”

Section: Introductionmentioning

confidence: 99%

Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid

Binyamin

Slama

2022

Sensors

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Multi-Agent Systems (MAS) have been seen as an attractive area of research for civil engineering professionals to subdivide complex issues. Based on the assignment’s history, nearby agents, and objective, the agent intended to take the appropriate action to complete the task. MAS models complex systems, smart grids, and computer networks. MAS has problems with agent coordination, security, and work distribution despite its use. This paper reviews MAS definitions, attributes, applications, issues, and communications. For this reason, MASs have drawn interest from computer science and civil engineering experts to solve complex difficulties by subdividing them into smaller assignments. Agents have individual responsibilities. Each agent selects the best action based on its activity history, interactions with neighbors, and purpose. MAS uses the modeling of complex systems, smart grids, and computer networks. Despite their extensive use, MAS still confronts agent coordination, security, and work distribution challenges. This study examines MAS’s definitions, characteristics, applications, issues, communications, and evaluation, as well as the classification of MAS applications and difficulties, plus research references. This paper should be a helpful resource for MAS researchers and practitioners. MAS in controlling smart grids, including energy management, energy marketing, pricing, energy scheduling, reliability, network security, fault handling capability, agent-to-agent communication, SG-electrical cars, SG-building energy systems, and soft grids, have been examined. More than 100 MAS-based smart grid control publications have been reviewed, categorized, and compiled.

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Section: Introductionmentioning

confidence: 99%

Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid

Binyamin

Slama

2022

Sensors

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“…Home Energy Management (HEM) was seen as a potential solution due to its ability to manage appliances and control energy demand in a smart home. HEM refers to using energy management systems to monitor and collect data that includes generation, distribution, and transmission of electricity [23]. HEM is a monitoring and data collection application for energy management systems, covering power grid production and delivery, i.e.…”

Section: Introductionmentioning

confidence: 99%

Smart Home Energy Management System

Sultan¹,

Salma²,

Bassam³

2021

IJACSA

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Home energy management system has been selected as an attractive research issue due to its ability to enhance energy security by including devices, entertainment systems, security systems, environmental controls, etc. Home automation is incorporated as a potential technology to ensure efficient electricity performance without interruption, solve power demand problems and coordinate devices with innovative technologies. In this context, our proposal seeks to implement an accurate home energy management system. The proposed approach aims to improve uninterrupted electricity production and provide comfortable services to families. To implement correct system operations and meet each device's power demand, a Reel Time Energy Management System (RT-EMS) will be implemented and discussed through some required tasks using the Multi-Agent System (MAS). Each agent will be determined according to some criteria to implement the appropriate design and meet each device's power demand. The obtained results will show that the proposed system meets the general objectives of RT-EMS.

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“…Due to the fast variations of power, ESSs must contain a high power density as well as high energy density. So, it is required to keep more than one storage system for a hybrid energy storage system (HESS) [5]- [7]. The ESSs and battery banks (BBs) are efficiently used in hybrid energy systems (HESs).…”

Section: Introductionmentioning

confidence: 99%

Modeling, Control and Power Management Strategy of a Grid connected Hybrid Energy System

Bhuyan¹,

Hota²,

Panda³

2018

IJECE

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This paper presents the detailed modeling of various components of a grid connected hybrid energy system (HES) consisting of a photovoltaic (PV) system, a solid oxide fuel cell (SOFC), an electrolyzer and a hydrogen storage tank with a power flow controller. Also, a valve controlled by the proposed controller decides how much amount of fuel is consumed by fuel cell according to the load demand. In this paper fuel cell is used instead of battery bank because fuel cell is free from pollution. The control and power management strategies are also developed. When the PV power is sufficient then it can fulfill the load demand as well as feeds the extra power to the electrolyzer. By using the electrolyzer, the hydrogen is generated from the water and stored in storage tank and this hydrogen act as a fuel to SOFC. If the availability of the power from the PV system cannot fulfill the load demand, then the fuel cell fulfills the required load demand. The SOFC takes required amount of hydrogen as fuel, which is controlled by the PID controller through a valve. Effectiveness of this technology is verified by the help of computer simulations in MATLAB/SIMULINK environment under various loading conditions and promising results are obtained.

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An Intelligent Power Management Investigation for Stand-alone Hybrid System Using Short-time Energy Storage

Cited by 9 publications

References 28 publications

Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid

Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid

Smart Home Energy Management System

Modeling, Control and Power Management Strategy of a Grid connected Hybrid Energy System

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