Optimal Allocation of Battery in Electrical Distribution Systems with Distributed Resources

Oliveira, Leonardo W. de; Oliveira, Janaína Gonçalves de; Dias, Bruno H.; Sena, Celia; Santos, André Lopes Marinho dos

doi:10.1007/s40313-021-00732-x

Cited by 3 publications

(1 citation statement)

References 43 publications

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“…In reference [5], a renewable energy consumption method based on variational mode decomposition and combined regulation of thermal power and storage system is presented, which increases wind power absorption and reduces carbon costs. In reference [6], a battery-pack-based energy storage system is planned in a distribution system with distributed resources, especially considering the operating conditions of wind power generation and investment and operating costs. A three-stage approach is proposed to reduce the total planning and operating cost considering grid reliability; In reference [7], a master-slave game optimization model is developed for the joint dispatch of wind power with hydrogen storage and step hydro power, and a two-way tariff compensation policy is proposed to motivate the participation of hydro power in wind power consumption; In reference [8], this paper proposes a new strategy for demand response optimization scheduling based on blockchain and high-capacity enterprise priorities, and establish an optimization model of load aggregator participation in scheduling.…”

Section: Introductionmentioning

confidence: 99%

Optimal Scheduling Strategy of Source-Load-Storage Based on Wind Power Absorption Benefit

Ma,

Yue,

et al. 2024

ENERGY

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In recent years, the proportion of installed wind power in the three north regions where wind power bases are concentrated is increasing, but the peak regulation capacity of the power grid in the three north regions of China is limited, resulting in insufficient local wind power consumption capacity. Therefore, this paper proposes a two-layer optimal scheduling strategy based on wind power consumption benefits to improve the power grid's wind power consumption capacity. The objective of the upper model is to minimize the peak-valley difference of the system load, which is mainly to optimize the system load by using the demand response resources, and to reduce the peak-valley difference of the system load to improve the peak load regulation capacity of the grid. The lower scheduling model is aimed at maximizing the system operation benefit, and the scheduling model is selected based on the rolling scheduling method. The load-side scheduling model needs to reallocate the absorbed wind power according to the response speed, absorption benefit, and curtailment penalty cost of the two DR dispatching resources. Finally, the measured data of a power grid are simulated by MATLAB, and the results show that: the proposed strategy can improve the power grid's wind power consumption capacity and get a large wind power consumption benefit. KEYWORDSWind power consumption; two-layer optimal; demand response; rolling scheduling; wind curtailment penalty Nomenclature DR Demand response PDR Price-based demand response IDR Incentive-based demand response SOC State of charge P wind,av Average annual wind curtailment power of wind farms P z (t) Wind farm group t wind power at time t P windx (t)The power grid can absorb the wind abandon power of the wind farm group at time t P z,max (t) The scheduling model has the maximum operational power at time t μ qfWind curtailment penalty coefficient

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Section: Introductionmentioning

confidence: 99%

Optimal Scheduling Strategy of Source-Load-Storage Based on Wind Power Absorption Benefit

Ma,

Yue,

et al. 2024

ENERGY

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Sodium sulfur batteries allocation in high renewable penetration microgrids using coronavirus herd immunity optimization

Alqarni

2022

Ain Shams Engineering Journal

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Energy storage batteries have been described as an ideal way to solve renewable energy problems, improve self-consumption rate (ScR), and pave the way for further growth in renewables penetration. In this work, an optimization framework is proposed to enhance a grid-connected microgrid performance in three stages. The first stage epitomizes maximization of the ScR of the highly-penetrated renewables hosted in the microgrid considered via sodium sulfur batteries allocation. The second stage epitomizes the minimization of the active power losses. The third stage epitomizes the calculation of the optimal energy management relying on diminishing the overall microgrid’s cost of operation depending on the optimal findings of the earlier two stages. The coronavirus herd immunity optimization algorithm is applied on MATLAB’s platform to solve the engineering problem formulated. Numerous linear and nonlinear constraints have been taken into account. The results have gotten validate the usefulness of the developed solutions and algorithm application.

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Arrangement for reliable power supply to emergency commercial customers with techno-economic performance improvement of PV enhanced distribution systems

Samantaray,

Kayal

2024

Renewable Energy Focus

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Optimal Allocation of Battery in Electrical Distribution Systems with Distributed Resources

Cited by 3 publications

References 43 publications

Optimal Scheduling Strategy of Source-Load-Storage Based on Wind Power Absorption Benefit

Optimal Scheduling Strategy of Source-Load-Storage Based on Wind Power Absorption Benefit

Sodium sulfur batteries allocation in high renewable penetration microgrids using coronavirus herd immunity optimization

Arrangement for reliable power supply to emergency commercial customers with techno-economic performance improvement of PV enhanced distribution systems

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