Energy management and optimized operation of renewable sources and electric vehicles based on microgrid using hybrid gravitational search and pattern search algorithm

Li, Ning; Su, Zhanguo; Jerbi, Houssem; Abbassi, Rabeh; Latifi, Mohsen; Furukawa, Noritoshi

doi:10.1016/j.scs.2021.103279

Cited by 36 publications

(8 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These problems can be easily handled and managed by meta-heuristic methods. The commonly used meta-heuristic methods are particle swarm optimization (PSO), 31,32 BPSO, 8,33,34 GA, 8 gray wolf optimization (GWO), 9,35 gravitational search algorithm (GSO) 36 etc.…”

Section: Literature Reviewmentioning

confidence: 99%

An optimal home energy management system with integration of renewable energy and energy storage with home to grid capability

Mohammad

Zuhaib

Ashraf

2022

Intl J of Energy Research

View full text Add to dashboard Cite

Summary Residential building consumes a significant amount of energy. To address the issue, these structures have been supplied with renewable energy sources (RES), an energy storage system (ESS), and an electric vehicle (EV). In a home, a home energy management system (HEMS) has been implemented to schedule and regulate domestic appliances. Many studies in HEMS have been conducted in order to reduce the cost of power and the peak to average ratio (PAR). However, there is insufficient use of RES, ESS, EV, and excess domestic energy. As a result, this research presents a HEMS architecture that is integrated with RES and ESS and includes home‐to‐grid (H2G) power flow functionality. The RES electricity is initially utilized to power domestic appliances and charge ESS before being transferred back into the main grid to reap economic rewards. During the low‐price period, the ESS and EV are charged and discharged during the high‐price period. The paper built a multi‐objective optimization problem using the provided approach that integrates electricity cost and system PAR. The grey wolf optimization algorithm is used to tackle the multi‐objective optimization problem. The results clearly show that the proposed technique decreases expenditures by 45.80% and PAR by 28.44%, compared to the baseline timetable in 24 h. The H2G power flow feature allows the home to send back excess energy to the grid, cutting electricity expenditures by 70% and achieving additional economic benefits.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

An optimal home energy management system with integration of renewable energy and energy storage with home to grid capability

Mohammad

Zuhaib

Ashraf

2022

Intl J of Energy Research

View full text Add to dashboard Cite

show abstract

“…In Ref. 13, optimal operation of microgrid with renewable energy sources and plug‐in electric vehicles is studied using Monte Carlo simulation and compared with conventional schemes. System optimization and operating strategy of a distributed energy system combined with hybrid energy storage for a net zero community is presented in Ref.…”

Section: Introductionmentioning

confidence: 99%

Feasibility of integrated solar photovoltaic pico‐pumped storage self‐sustained system for multi‐storey building in India

Balachandran,

Ponnusamy

2024

Energy Storage

View full text Add to dashboard Cite

This study explores the potential of utilizing a pico‐pumped storage system (PPSH) as an energy storage solution to enhance the integration of renewable energy sources in a multi‐story building. The study seeks to evaluate the system's ability to fulfil the energy requirements of a part of a multi‐storey building, considering factors such as cost‐effectiveness, longevity, and environmental impact. Basic relationships are used to model both floating solar PV systems and pumped storage systems in MATLAB. An algorithm based on linear programming is used to generate the optimal schedule, while a particle swarm optimization‐based algorithm is employed for the optimal design of the proposed system. In order to analyze the economic feasibility, the levelized cost of solar energy and the levelized cost of stored energy are estimated. An optimally sized floating solar PV integrated pico pumped storage system with an optimal operating strategy can perform technically. However, due to practical limitations, the system's dimensions cannot accommodate real‐world storage requirements. When levelized costs are considered, a pico‐pumped storage system becomes less appealing than battery storage systems, particularly if a new storage tank is to be constructed. Compared to battery storage systems, pumped storage systems have a lower energy density, which requires more space and height, especially in buildings. Pumped storage systems, on the other hand, have a longer lifespan and a lower environmental impact. Overall, the proposed system, along with an optimal scheduling algorithm, provides a long‐term solution for energy storage, aligning with the growing global emphasis on lowering carbon emissions and embracing renewable energy sources. Although there may be a high initial investment requirement and a restricted storage capacity, the sustained advantages of energy independence and a diminished carbon footprint render it an appealing option for environmentally conscious communities and green buildings.

show abstract

“…Knowing that the global dependence on fossil fuels will not break immediately, so integration of renewable energy systems will minimize the environmental impacts of fossil fuels and achieve the desired goals of renewable energy, strategic plans for RE integration should be conducted (Li et al, 2021). In line with the Saudi Vision 2030, a lot of work is being done to find alternatives to fossil fuels and generate electricity using renewable energy (Yin et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Control and performance analysis of a grid-tied solar PV system

al.¹

2022

Int. j. adv. appl. sci.

View full text Add to dashboard Cite

Considering the environmental, economic, and political context, the integration of renewable energies in electricity production has become essential. Due to its many advantages, solar photovoltaic (PV) energy is one of the most promising solutions. However, the overvoltage of the distribution line network during high power periods and the mismatch between the moments of photovoltaic production and the moments of load consumption impose limits on the integration of photovoltaic systems. This paper proposes a new method to control the integration of photovoltaic systems connected to the grid. This paper proposes a new method of control of the boost chopper for the extraction of the maximum available power (MPPT) and an adequate control system of the inverter interfacing with the grid to solve the problems related to the power quality standards. Indeed, a Modified shuffled frog leaping algorithm (MSFLA) is used to efficiently determine the values of the sliding mode controller (SMC) parameters performing the MPPT task. In addition, the power flow direction is taken into account according to the system architecture to satisfy the grid connection through the coordinated active and reactive power control of the grid side inverter. The found simulation results validate the performance of the proposed control system.

show abstract

Energy management and optimized operation of renewable sources and electric vehicles based on microgrid using hybrid gravitational search and pattern search algorithm

Cited by 36 publications

References 26 publications

An optimal home energy management system with integration of renewable energy and energy storage with home to grid capability

An optimal home energy management system with integration of renewable energy and energy storage with home to grid capability

Feasibility of integrated solar photovoltaic pico‐pumped storage self‐sustained system for multi‐storey building in India

Control and performance analysis of a grid-tied solar PV system

Contact Info

Product

Resources

About