Cooperation of electric vehicle and energy storage in reactive power compensation: An optimal home energy management system considering PV presence

Golshannavaz, Sajjad

doi:10.1016/j.scs.2018.02.018

Cited by 55 publications

(37 citation statements)

References 17 publications

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“…However, they didn't consider PAR and carbon emissions in their work. In [14], the authors proposed a twostage home energy management (HEM) strategy equipped with RESs. The operational cost of homes was minimized in the one stage, while in the second stage, PF was improved.…”

Section: Related Workmentioning

confidence: 99%

Heuristic-Based Programable Controller for Efficient Energy Management Under Renewable Energy Sources and Energy Storage System in Smart Grid

Imran¹,

Hafeez²,

Khan³

et al. 2020

IEEE Access

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An operative and versatile household energy management system is proposed to develop and implement demand response (DR) projects. These are under the hybrid generation of the energy storage system (ESS), photovoltaic (PV), and electric vehicles (EVs) in the smart grid (SG). Existing household energy management systems cannot offer its users a choice to ensure user comfort (UC) and not provide a sustainable solution in terms of reduced carbon emission. To tackle these problems, this research work proposes a heuristic-based programmable energy management controller (HPEMC) to manage the energy consumption in residential buildings to minimize electricity bills, reduce carbon emissions, maximize UC and reduce the peak-to-average ratio (PAR). We used our proposed hybrid genetic particle swarm optimization (HGPO) algorithm and existing algorithms like a genetic algorithm (GA), binary particle swarm optimization algorithm (BPSO), ant colony optimization (ACO), wind-driven optimization algorithm (WDO), bacterial foraging algorithm (BFA) to schedule smart appliances optimally to attain our desired objectives. In the proposed model, consumers use solar panels to produce their energy from microgrids. We also perform MATLAB simulations to validate our proposed HGPO-HPEMC (HHPEMC), and results confirm the efficiency and productivity of our proposed HPEMC based strategy. The proposed algorithm reduced the electricity cost by 25.55%, PAR by 36.98%, and carbon emission by 24.02% as compared to the case of without scheduling.

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Section: Related Workmentioning

confidence: 99%

Heuristic-Based Programable Controller for Efficient Energy Management Under Renewable Energy Sources and Energy Storage System in Smart Grid

Imran¹,

Hafeez²,

Khan³

et al. 2020

IEEE Access

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“…[22]. In [20], mixed-integer linear programming (MILP) was used for HEMS optimization, with an additional feature of power factor maximization. In [21], the optimization was completed using a MILP solver and a heuristic technique separately.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Scheduling of Home Energy Management System With Plug-In Electric Vehicles Using Model Predictive Control

Zhao

Chen

Keel³

2018

Volume 2: Control and Optimization of Connected and Automated Ground Vehicles; Dynamic Systems and Control Education; Dynamics

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For a household microgrid with renewable photovoltaic (PV) panel and plug-in electric vehicles (PEVs), a home energy management system (HEMS) using model predictive control (MPC) is designed to achieve optimal PEV charging and energy flow scheduling. Soft electric loads and an energy storage system (ESS) are also considered in the optimization of PEV charging in the MPC framework. The MPC is solved through a mixed-integer linear programming (MILP) by considering the relationship of energy flows in the optimization problem. Through the simulation results, the performance of optimization results under various electricity price plans is evaluated. The influences of PV capacities on the optimization results of electricity cost are also discussed.

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“…As reactive power is a local product its value to system security and voltage control very much depends on the location in the system and the type of providers. On the other hand, with the widespread presence of photovoltaic sources in distribution networks, the issue of grid voltage control faces a new challenge called overvoltage during peak hours of solar generation 1,2 . Therefore, voltage control methods should be reviewed.…”

Section: Introductionmentioning

confidence: 99%

Valuation of reactive power support provided by photovoltaic systems in distribution networks

Yousefi

Gholamian

Zakariazadeh

2020

Int Trans Electr Energ Syst

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Cooperation of electric vehicle and energy storage in reactive power compensation: An optimal home energy management system considering PV presence

Cited by 55 publications

References 17 publications

Heuristic-Based Programable Controller for Efficient Energy Management Under Renewable Energy Sources and Energy Storage System in Smart Grid

Heuristic-Based Programable Controller for Efficient Energy Management Under Renewable Energy Sources and Energy Storage System in Smart Grid

Optimal Scheduling of Home Energy Management System With Plug-In Electric Vehicles Using Model Predictive Control

Valuation of reactive power support provided by photovoltaic systems in distribution networks

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