Optimal Scheduling of a Battery Energy Storage System with Electric Vehicles’ Auxiliary for a Distribution Network with Renewable Energy Integration

Yang, Yuqing; Zhang, Weige; Jiang, Jiuchun; Huang, Mengxing; Niu, Linkai

doi:10.3390/en81010718

Cited by 21 publications

(12 citation statements)

References 11 publications

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“…The result justified that BESS can be applied to a wind farm with less investment cost. For the concern of the depletion of global conventional energy and the fluctuation in distributed energy, [11] researched on how BESS can mitigate the bad effect of distributed energy generation using optimal scheduling. Using Lagrangian relaxation, [9] recommend an additional method for solving short-term generation scheduling problems.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact Optimization of Battery Energy Storage System in Microgrid Operation

Adjei

Donkoh²,

Otoo³

et al. 2020

Eur. J. Pure Appl. Math.

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In microgrid operation, one of the most vital tasks of the system control is to wisely decide between selling excess power to the local grid or charge the Battery Energy Storage System (BESS). Our study uses Mixed-Integer Linear Programming (MILP) to investigate the impact of storage system on the operational cost of a microgrid. The results suggested that, the presence of BESS would relieve the pressure on the utility grid but not the cost of electricity due to the expensive nature of the storage plant. In view of this, it will be more beneficial to sell excess renewable generated power to the utility grid than to invest in a storage system for larger microgrids 2020 Mathematics Subject Classifications: 90C06

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Section: Literature Reviewmentioning

confidence: 99%

Impact Optimization of Battery Energy Storage System in Microgrid Operation

Adjei

Donkoh²,

Otoo³

et al. 2020

Eur. J. Pure Appl. Math.

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“…The selected algorithm for this optimization is the PSO, which is typical and efficient for this type of problem according to [15]. If the priorities of the E-Broker auction, which only consider relative order, needed to be optimized, then the genetic algorithm (GA) would be suitable.…”

Section: Optimizationmentioning

confidence: 99%

Optimal Scheduling of Energy Storage Using A New Priority-Based Smart Grid Control Method

et al. 2019

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This paper presents a method to optimally use an energy storage system (such as a battery) on a microgrid with load and photovoltaic generation. The purpose of the method is to employ the photovoltaic generation and energy storage systems to reduce the main grid bill, which includes an energy cost and a power peak cost. The method predicts the loads and generation power of each day, and then searches for an optimal storage behavior plan for the energy storage system according to these predictions. However, this plan is not followed in an open-loop control structure as in previous publications, but provided to a real-time decision algorithm, which also considers real power measures. This algorithm considers a series of device priorities in addition to the storage plan, which makes it robust enough to comply with unpredicted situations. The whole proposed method is implemented on a real-hardware test bench, with its different steps being distributed between a personal computer and a programmable logic controller according to their time scale. When compared to a different state-of-the-art method, the proposed method is concluded to better adjust the energy storage system usage to the photovoltaic generation and general consumption.

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“…Simulated Annealing (SA) is another popular method that can be adapted to the electrical system optimization problems as well [13] There are several works using Genetic Algorithm (GA), such as [14] that is a comprehensive work on optimal sizing and siting the ESS in the LV grid. Other works shown the scheduling of ESS via GA optimization, such as in [15] to handle peak demand, in [16] to reduce energy cost and in [17] to integrate plug-in EV fleet in the grid.…”

Section: Introductionmentioning

confidence: 99%

Optimal Planning and Operation Scheduling of Battery Storage Units in Distribution Systems

Mirtaheri

Bortoletto

Fantino

et al. 2019

2019 IEEE Milan PowerTech

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In the last years, the electricity system has been subject to a paradigm change, due to increasing share of installed renewable energy sources-based power plants. This fact is leading electrical system-which proper operation was however affected by the intermittent nature of renewables-to become more "green". The union of energy chain de-carbonization with service reliability opens new opportunities for storage systems, although their relatively high cost highlighted the importance of optimal decisions in sizing, placing and operation of such systems. For addressing these aspects, appropriate mathematical models and optimization methods are needed: in this paper, a novel and efficient hybrid optimization algorithm is introduced, to solve i) sizing, ii) placement and iii) operation of arbitrary storage systems. This method is then applied to a low voltage grid, to demonstrate the effectiveness of the proposed methodology.

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Optimal Scheduling of a Battery Energy Storage System with Electric Vehicles’ Auxiliary for a Distribution Network with Renewable Energy Integration

Cited by 21 publications

References 11 publications

Impact Optimization of Battery Energy Storage System in Microgrid Operation

Impact Optimization of Battery Energy Storage System in Microgrid Operation

Optimal Scheduling of Energy Storage Using A New Priority-Based Smart Grid Control Method

Optimal Planning and Operation Scheduling of Battery Storage Units in Distribution Systems

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