Optimal Allocation Method for Microgrid System Capacity with Electrical Vehicles

Lin, Yanlong; Wang, Kai; Quan, Mingjing; Zhang, Zhifeng; Dong, Xingliang

doi:10.1109/icpre52634.2021.9635343

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…an independent microgrid with solar-water-diesel-storage was established, considering economics, environmental friendliness, supply reliability and created optimization models with different objectives. In [9][10], independent water-solar-diesel-storage microgrids were established, proposing a multiobjective optimization configuration model and using a particle swarm optimization algorithm under certain control strategies. In [11], a typical daily load analysis was conducted for islanded state microgrids and optimized capacity allocation of photovoltaic cells and energy storage sources.…”

Section: Introductionmentioning

confidence: 99%

Optimization of economic and technical aspects in solar-biogas hybrid rural microgrids based on multiple energy storage methods

Tan,

Su,

Zhang

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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This paper tackled the issue of identifying the most suitable capacity setup for multi-energy complementary microgrids in rural regions. The microgrid model integrated solar and biogas storage within an AC/DC hybrid system. The use of biogas and solar power generation could meet the electricity load demand of users, as well as the waste heat generated by biogas power generation be used to meet the heat load demand. By integrating the two energy storage methods of electricity and heat storage, the synergistic utilization of electricity and heat energy was achieved to improve the flexibility and energy efficiency of the microgrid system. Through multi-objective optimization, the study aimed to maximize renewable energy utilization, minimize costs and reduce carbon emissions while ensuring power supply reliability. The results suggested that the optimal configuration for this rural microgrid includes a 2.6 kW biogas generator, 30.0 kW photovoltaic panels, a 2.6 kW battery pack and a 10.00 kW bidirectional inverter. This configuration minimized the total net cost and yielded favorable outcomes in terms of various evaluation indicators.

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Section: Introductionmentioning

confidence: 99%

Optimization of economic and technical aspects in solar-biogas hybrid rural microgrids based on multiple energy storage methods

Tan,

Su,

Zhang

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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Design and Economic Analysis of a Grid-Tied Microgrid Using Homer Software

DAYIOĞLU,

ÜNAL

2024

IJCESEN

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The demand for electrical energy is increasing due to reasons such as economic growth, industrialization and electrification. The world responds to a large part of this electricity demand with fossil fuel-based production. However, the constraints on the sustainability of fossil resources and the negative effects of fossil-based production on nature have made renewable energy one of the most talked about concepts in the energy sector in recent years. After Russian – Ukrainian conflict, the effects of political crises between countries were seen in the field of energy, and many countries faced the risk of energy supply and high pricing policies. With its easy integration of renewable energy and its structure that reduces dependency in energy, Microgrids (MGs) are important for the energy systems of the future. However, the environmental dependence of renewable energy prevents it from being used as an absolute energy source in systems. In this study, a microgrid design for the city of Duquesne, USA whose main sources of electricity generation are solar and wind, has been realized and electrical and economic analyzes have been made over different scenarios as grid-tied, limited grid activation and standalone. Scenarios are evaluated on Net Present Value (NPV), Levelized Cost of Energy (LCOE), installation cost and renewable penetration. The grid-tied scenario, which reduces the LCOE by around 33% compared to the existing grid has been determined as the most economic option.

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Capacity Optimization of Independent Microgrid with Electric Vehicles Based on Improved Pelican Optimization Algorithm

Chen

Liu

et al. 2023

Energies

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In order to reduce the comprehensive power cost of the independent microgrid and to improve environmental protection and power supply reliability, a two-layer power capacity optimization model of a microgrid with electric vehicles (EVs) was established that considered uncertainty and demand response. Based on the load and energy storage characteristics of electric vehicles, the classification of electric vehicles was proposed, and their mathematical models were established. The idea of robust optimization was adopted to construct the uncertain scenario set. Considering the incentive demand response, a two-layer power capacity optimization model of a microgrid was constructed. The improved pelican optimization algorithm (IPOA) was proposed as the two-layer model. In view of the slow convergence rate of the pelican optimization algorithm (POA) and its tendency to fall into the local optimum, methods such as elite reverse learning were proposed to generate the initial population, set disturbance inhibitors, and introduce Lévy flight to improve the initial population of the algorithm and enhance its global search ability. Finally, an independent microgrid was used as an example to verify the effectiveness of the proposed model and the improved algorithm. Considering that the total power capacity optimization cost of the microgrid after addition of electric vehicles was reduced by CNY 139,600, the total power capacity optimization cost of the microgrid after IOPA optimization was reduced by CNY 49,600 compared with that after POA optimization.

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Optimal Allocation Method for Microgrid System Capacity with Electrical Vehicles

Cited by 3 publications

References 11 publications

Optimization of economic and technical aspects in solar-biogas hybrid rural microgrids based on multiple energy storage methods

Optimization of economic and technical aspects in solar-biogas hybrid rural microgrids based on multiple energy storage methods

Design and Economic Analysis of a Grid-Tied Microgrid Using Homer Software

Capacity Optimization of Independent Microgrid with Electric Vehicles Based on Improved Pelican Optimization Algorithm

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