Optimization of charging and discharging thresholds of energy storage systems
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Efficient Management of Electric Vehicle Charging Stations:
Renewable energy sources (RESs), combined with energy storage systems (ESSs), are increasingly used in electric vehicle charging stations (EVCSs) due to their economic and
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Optimal sizing and siting of energy storage systems based on
The charging and discharging power of the energy storage station is constrained by its rated power, while the charge/discharge state''s mutual exclusion constraint ensures that
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Strategies for smoothing power fluctuations in lithium-ion battery
The hybrid energy storage system (HESS), comprising a lithium-ion battery and a supercapacitor (SC), fully uses the advantages of both the lithium-ion battery and SC with high
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Optimized Strategies for Peak Shaving and BESS Efficiency
Battery Energy Storage Systems (BESS) are essential for peak shaving, balancing power supply and demand while enhancing grid efficiency. This study proposes a cycle-based
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Multi-time scale robust optimization for integrated multi-energy system
Based on this, this study constructed an integrated multi-energy system incorporating PBSCSS, and considering the uncertainty of renewable energy, introducing two
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The real-time optimization of charge/discharge voltage threshold
In order to achieve better energy saving effect of the super-capacitor energy storage system (SC-ESS), an on-line optimization control strategy is proposed in t
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Two-stage charge and discharge optimization of battery energy storage
An important figure-of-merit for battery energy storage systems (BESSs) is their battery life, which is measured by the state of health (SOH). In this study, we.
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Development of a Charging Profitability Function for the Optimization
However, defining the thresholds for “low†and “high†energy prices re- 32nd CIRP Conference on Life Cycle Engineering (LCE 2025) Development of a Charging
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Two-stage charge and discharge optimization of battery energy storage
An important figure-of-merit for battery energy storage systems (BESSs) is their battery life, which is measured by the state of health (SOH). In this study, we propose a two-stage model to
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Charging/discharging performance examination in a finned
Charging/discharging performance examination in a finned-tube heat storage tank: Based on artificial neural network, pareto optimization, and numerical simulation
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A tri-level optimization model for the integrated energy system
Given the rapid growth of electric vehicles (EVs) ownership and the accelerated construction of novel energy systems, it is urgent to promote the integration of EVs and
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Charging–Discharging Control Strategy for a Flywheel Array
To solve the problems of over-charging, over-discharging, and overcurrent caused by traditional charging–discharging control strategies, this paper proposes a charging–discharging
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Optimization of battery charging and discharging strategies in
By realizing the intelligence and optimization of battery management, it can improve the efficiency of battery charging and discharging in DC systems of substations to
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Hybrid Energy Storage System Optimization With Battery Charging
Here we propose a hybrid energy storage system (HESS) model that flexibly coordinates both portable energy storage systems (PESSs) and stationary energy storage
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Optimized Strategies for Peak Shaving and BESS Efficiency
This study proposes a cycle-based control strategy for charging and discharging, which optimizes capture rate (CR), release rate (RR), and capacity utilization rate (CUR),
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Control strategy to smooth wind power output using battery energy
Within the variety of energy storage systems available, the battery energy storage system (BESS) is the most utilized to smooth wind power output. However, the capacity of
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Charging and Discharging of Electric Vehicles in Power Systems:
This paper aims to provide a comprehensive and updated review of control structures of EVs in charging stations, objectives of EV management in power systems, and
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Optimal operation of energy storage system in photovoltaic-storage
Optimizing the energy storage charging and discharging strategy is conducive to improving the economy of the integrated operation of photovoltaic-storage charging. The
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Smart optimization in battery energy storage systems: An overview
In this paper, we provide a comprehensive overview of BESS operation, optimization, and modeling in different applications, and how mathematical and artificial
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Two-stage charge and discharge optimization of battery energy
An important figure-of-merit for battery energy storage systems (BESSs) is their battery life, which is measured by the state of health (SOH). In this study, we.
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Battery Optimization for Power Systems: Feasibility and
The BESS models would need to characterize the charging power consumed, discharging power supplied, state of charge (SOC) and ensure that the BESS remains within its power and
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Research on Optimal Decision Method for Self Dispatching of
Abstract. This article analyzes the current situation of energy storage participating in market transactions as an independent market entity, and proposes a decision-making
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Optimal scheduling of solar powered EV charging stations in a
To address this, optimal charge/discharge scheduling of EVs becomes crucial. This paper introduces an innovative Opposition-based Competitive Swarm Optimization
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Why is optimal charge/discharge scheduling important in power distribution networks?
However, the intermittent nature of renewable energy sources poses a challenge for energy management in power distribution networks. To address this, optimal charge/discharge scheduling of EVs becomes crucial.
What are the optimization objectives of EV charging/discharging?
in the power grid. Additionally some papers have examined multiobjective optimization of EV charging/discharging. In71], the objectives of minimizing the load varance and the EV charging cost are considered. According to the abovementioned acts, the objec and environmental ssues. A classification of the optimization objectives of EV charg-
Can a two-stage model optimize battery energy storage in an industrial park microgrid?
Abstract: An important figure-of-merit for battery energy storage systems (BESSs) is their battery life, which is measured by the state of health (SOH). In this study, we propose a two-stage model to optimize the charging and discharging process of BESS in an industrial park microgrid (IPM).
How do battery energy storage systems improve battery performance?
Battery Energy Storage Systems (BESS) are essential for peak shaving, balancing power supply and demand while enhancing grid efficiency. This study proposes a cycle-based control strategy for charging and discharging, which optimizes capture rate (CR), release rate (RR), and capacity utilization rate (CUR), improving BESS performance.
How OCSO optimisation is used to reduce the cost of EV charging?
The OCSO optimization technique is used to solve the objective function given in Eq. (9) and the effect of EVs on grid system parameters is formulated after optimization with variable constraints. The ToU power tariff system has been applied in this optimisation process to reduce the cost of EV charging.
How does OCSO optimize EV charge and discharge schedules?
The OCSO algorithm is employed to derive optimal charge and discharge schedules for EVs, aiming to minimize charging costs during smart G2V and V2G modes. Simulation results reveal that, before optimization, EVs predominantly charge during high-tariff periods and peak load hours.
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