Enhancement of battery life in microgrid energy management using mixed integer linear programming and hybrid knapsack

Gounder, Yasoda Kailasa; Subramanian, Sowkarthika

doi:10.1002/er.7717

Cited by 6 publications

(2 citation statements)

References 32 publications

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“…Direct access to DC loads and more distributed generation (DG) can effectively improve the stability and economy of the power system. 3 However, as most DGs are applied in real life, there are problems such as rapid response to load changes and lack of synchronous power generation inertial characteristics. 4 At present, the virtual synchronous generator (VSG) technology, which is mostly concerned by scholars, can provide virtual inertia for the model when applied to distributed power control.…”

Section: Introductionmentioning

confidence: 99%

“…It can have the technical advantages of two traditional microgrids at the same time. Direct access to DC loads and more distributed generation (DG) can effectively improve the stability and economy of the power system 3 . However, as most DGs are applied in real life, there are problems such as rapid response to load changes and lack of synchronous power generation inertial characteristics 4 .…”

Section: Introductionmentioning

confidence: 99%

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Modeling and adaptive control strategy of hybrid microgrid based on virtual synchronous generator

2023

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Aiming at large system operation fluctuations caused by the technical control of virtual synchronous generators, this article studies the introduction of interface converter control power, builds a virtual synchronous generator (VSG)‐based hybrid microgrid model and adaptive control strategy. Finally it optimizes it with fuzzy logic to obtain an fuzzy logic controller (FLC) based adaptive VSG control strategy. The experimental results show that under the FLC‐based adaptive VSG control strategy, in the reverse current mode, the system regression time is 0.37 s, and the DC bus voltage is 6.5 V; In the rectification mode, the system regression time is 0.49 s, and the DC bus voltage is 2.1 V. The results obtained are faster than the traditional VSG control strategy, and the DC bus voltage is 42.48%–68.66% lower. In summary, the suggested control approach is effective and reliable under the two operation modes, which can make the system operate safely and stably.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling and adaptive control strategy of hybrid microgrid based on virtual synchronous generator

2023

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Robust optimization of community energy sharing considering source-load uncertainty and demand response

Yang,

Lv,

et al. 2024

Journal of Renewable and Sustainable Energy

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Community energy consumption is a crucial aspect of the overall societal energy consumption landscape. The allocation rate of distributed photovoltaic (PV) systems within communities is steadily increasing. However, managing and optimizing the consumption of PV resources while mitigating the impact of their inherent randomness and volatility, along with minimizing electricity costs, presents a significant challenge. This paper proposes a mechanism for community energy sharing that utilizes rooftop PV systems, energy storage systems, and bi-directional electric vehicles. To achieve the goal of finding the minimum cost of electricity in the worst scheduling scenarios, a two-stage robust optimization model is established. This model considers the two-sided uncertainty of source and load as well as flexible load demand response. The simulation outcomes prove the proposed method's efficacy in substantially mitigating residential electricity costs and enhancing PV utilization. Notably, during peak summer demand, a substantial 24.78% reduction in electricity costs was achieved, while PV utilization witnessed a significant 16.52% increase.

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Optimal planning of wind and solar complementary AC/DC microgrids under distributed power capacity constraints

Li,

Hao

et al. 2024

J. Phys.: Conf. Ser.

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The conventional AC/DC microgrid wind-solar complementary optimization planning method mainly uses the CvaR (conditional value at risk) risk value stochastic model to calculate the randomness of output electricity price, which is vulnerable to changes in load expectations, resulting in the per unit value of photovoltaic load output not meeting the actual demand of the microgrid. Therefore, under the constraints of distributed generation capacity, an optimal planning method of wind-solar complementation for AC/DC microgrids is designed. That is to say, considering the distributed generation capacity constraints, the optimal planning model of wind-solar complementation of AC and DC microgrids is constructed, and the bidirectional adjustment equation of the optimal planning of wind-solar complementation of AC and DC microgrids is generated, thus realizing the optimal planning of wind-solar complementation of AC and DC microgrids. The experimental results show that the PV output per unit value is higher and the load output per unit value is lower in the design of the wind-solar complementary optimization planning method of AC/DC microgrid considering distributed generation capacity constraints, which meets the requirements of efficient operation of the microgrid and has certain economic value.

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Enhancement of battery life in microgrid energy management using mixed integer linear programming and hybrid knapsack

Cited by 6 publications

References 32 publications

Modeling and adaptive control strategy of hybrid microgrid based on virtual synchronous generator

Modeling and adaptive control strategy of hybrid microgrid based on virtual synchronous generator

Robust optimization of community energy sharing considering source-load uncertainty and demand response

Optimal planning of wind and solar complementary AC/DC microgrids under distributed power capacity constraints

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