Academic literature on the topic 'Wind based microgrid'

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Journal articles on the topic "Wind based microgrid"

1

Huang, Jing, and Kui Wu. "Energy Optimal Scheduling Method of Microgrid with Wind and Solar Storage Based on Demand Response." Journal of Physics: Conference Series 2503, no. 1 (2023): 012017. http://dx.doi.org/10.1088/1742-6596/2503/1/012017.

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Abstract In the operation of a microgrid with wind and light storage, energy dispatching will directly affect its operating cost, which is a core technology of microgrid operation. This paper designs an energy optimization method for a microgrid with wind and solar storage based on demand response to realizing more scientific micro-power energy scheduling. Considering the wind-solar storage microgrid’s lowest demand response cost and other comprehensive costs, an energy-optimal scheduling model of the wind-solar storage microgrid is constructed. The model sets the constraints of energy storage
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2

Hou, YiSen, and Yan Yan. "Optimized wind-light-storage configuration based on Homer pro." Journal of Physics: Conference Series 2303, no. 1 (2022): 012037. http://dx.doi.org/10.1088/1742-6596/2303/1/012037.

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Abstract With the increasing shortage of energy and increasing demand for electricity, renewable energy microgrids have become the future trend of power grids. However, due to the strong uncertainty of its power generation, improving the stability of power system operation and reducing the cost of microgrid configuration have become important issues for the optimization of microgrid configuration. To address the above problems, this paper proposes a wind-light storage system, and establishes a model for optimal allocation of microgrid capacity with the minimum net present value of this system
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3

Bayasgalan, Zagdkhorol, and Munkhtuya Erdenebat. "Realization of Fuzzy Logic Controller in Microgrid for Mongolian case." Embedded Selforganising Systems 9, no. 1 (2022): 15–19. http://dx.doi.org/10.14464/ess.v9i1.511.

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 This paper presents the development and simulation of photovoltaic (PV), wind turbine and battery energy storage system (BESS) based microgrid in a Mongolian case. Although many standalone solar and wind microgrids are installed in Mongolia, they are not operating at total capacity and reliably due to a lack of control and proper use. The microgrid system operates in autonomous mode to serve the loads. To effectively control the microgrid voltage and frequency and achieve smoother power flow control between the generation and consumption, voltage–frequency (V/F) control ba
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4

Yu, Changle, Shuo Zhang, Yanchen Ji, and Peng Xu. "Research on the construction of new energy microgrids for wind power generation based on green and low carbon." Journal of Physics: Conference Series 2427, no. 1 (2023): 012013. http://dx.doi.org/10.1088/1742-6596/2427/1/012013.

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Abstract At present, the supply mode of fossil fuel as energy in China has caused more and more damage to the environment. In order to meet the demand for sustainable development, research on the construction of new energy microgrids for wind power generation based on green and low-carbon is proposed. Firstly, the equivalent model of the wind power generation system is established, and then the wind power generation new energy microgrid with a wind turbine as the core is built based on the specific value calculated by the model. Finally, the conventional new energy microgrid construction schem
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5

Ghorbani, Sajad, Rainer Unland, Hassan Shokouhandeh, and Ryszard Kowalczyk. "An Innovative Stochastic Multi-Agent-Based Energy Management Approach for Microgrids Considering Uncertainties." Inventions 4, no. 3 (2019): 37. http://dx.doi.org/10.3390/inventions4030037.

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In microgrids a major share of the energy production comes from renewable energy sources such as photovoltaic panels or wind turbines. The intermittent nature of these types of producers along with the fluctuation in energy demand can destabilize the grid if not dealt with properly. This paper presents a multi-agent-based energy management approach for a non-isolated microgrid with solar and wind units and in the presence of demand response, considering uncertainty in generation and load. More specifically, a modified version of the lightning search algorithm, along with the weighted objective
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6

Hang, Zhao Zi. "Optimal Scheduling of DC Microgrids based on MOPSO Algorithm." Scholars Journal of Engineering and Technology 11, no. 03 (2023): 45–52. http://dx.doi.org/10.36347/sjet.2023.v11i03.005.

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The DC microgrid system contains a variety of distributed power sources, but the distributed power sources are uncertain and intermittent. In order to improve the economy of DC microgrid operation, mainly to reduce the microgrid operation cost and environmental management cost, and at the same time the largest proportion of scenery consumption, the optimization algorithm is effective for microgrid for optimal scheduling. A multi-objective optimal scheduling model for microgrids is established. A microgrid model with wind, photovoltaic, micro gas turbine and energy storage is constructed and so
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7

Nazia, S. B., and A. Satish Babu. "An Advanced Control and Stability Analysis of Wind Solar Integrated Microgrid." Journal of Energy Engineering and Thermodynamics, no. 32 (February 2, 2023): 1–11. http://dx.doi.org/10.55529/jeet32.1.11.

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In this article, we suggest a micro-grid methodology based on renewable energy sources (RES) in order to make more efficient use of renewable energy sources and use less energy from the traditional power grid. Off-grid, RES likes solar (generated by a photovoltaic panel) and wind can be stored in a battery and utilised to power loads. As an additional measure, a Fuzzy logic-based energy-saving method has been applied. Microgrids are used to integrate these systems in a decentralised fashion, and they provide a suite of technology solutions that facilitate communication between end users and di
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8

Nazia, S. B., and A. Satish Babu. "An Advanced Control and Stability Analysis of Wind Solar Integrated Microgrid." Journal of Energy Engineering and Thermodynamics, no. 32 (February 2, 2023): 1–11. http://dx.doi.org/10.55529/jeet.32.1.11.

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Abstract:
In this article, we suggest a micro-grid methodology based on renewable energy sources (RES) in order to make more efficient use of renewable energy sources and use less energy from the traditional power grid. Off-grid, RES likes solar (generated by a photovoltaic panel) and wind can be stored in a battery and utilised to power loads. As an additional measure, a Fuzzy logic-based energy-saving method has been applied. Microgrids are used to integrate these systems in a decentralised fashion, and they provide a suite of technology solutions that facilitate communication between end users and di
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9

Lakshmi, Dr G. V. Naga, and A. Srinika. "Grid Sychronization of Wind Based Microgrid." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 4869–80. http://dx.doi.org/10.22214/ijraset.2023.51877.

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Abstract: This paper presents the methods for synchronization of a wind based micro grid with main grid. The wind power is generated using the permanent magnet brushless DC generator (PMBLDCG) and the MPPT (Maximum Power Point Tracking) is executed with P&O (Perturb & Observe) approach to extract the maximum power from the wind generation. This power is fed to the AC load using a voltage source inverter (VSI) through the battery bank (BSS) at DC link. The control algorithm operates in standalone mode and grid connected mode. It can switch between islanded and grid connected modes seaml
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10

Zhong, Xianjing, Xianbo Sun та Yuhan Wu. "A Capacity Optimization Method for a Hybrid Energy Storage Microgrid System Based on an Augmented ε-Constraint Method". Energies 15, № 20 (2022): 7593. http://dx.doi.org/10.3390/en15207593.

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In general, microgrids have a high renewable energy abandonment rate and high grid construction and operation costs. To improve the microgrid renewable energy utilization rate, the economic advantages, and environmental safety of power grid operation, we propose a hybrid energy storage capacity optimization method for a wind–solar–diesel grid-connected microgrid system, based on an augmented ε- constraint method. First, the battery is coupled with a seasonal hydrogen energy storage system to establish a hybrid energy storage model that avoids the shortcomings of traditional microgrid systems,
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