Energy consumption calculation and energy-saving measures of substation based on Multi-objective artificial bee colony algorithm
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Na Zhao
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Yuxian Ding
Abstract
Electric energy is the most commonly used energy in people’s daily life. In the process of use, how to improve the utilization rate of resources, so as to achieve the purpose of energy saving and environmental protection of power resources is a very significant work. The power grid is crucial in the transmission of electricity, and the energy consumption of substations is a major factor affecting the operation cost. Therefore, it is a key condition to ensure the stable operation of the power grid to scientifically calculate its energy consumption and formulate appropriate energy-saving measures. After consulting a large number of relevant documents and data, it has been found that many researchers have provided new ideas for the calculation of energy consumption and the study of energy-saving measures in substations. This article was adding its own understanding and taking it as the direction and basis. In the introduction, the research significance of substation energy consumption calculation was introduced, and then the academic research and analysis were carried out on the two key sentences of substation energy consumption calculation and analysis and the research of multi-objective artificial bee colony (ABC) algorithm in substation. In the method part, a constructive algorithm theory was proposed, and the application of the algorithm in substation energy consumption was proposed to provide a theoretical basis for the energy consumption calculation and energy conservation measures research of substations based on multi-objective ABC algorithm. At the end of the article, a simulation comparison experiment was carried out and the experiment was summarized and discussed. Firstly, the performance of the two algorithms was analyzed. Then, through the first selection of power plant T and Y, it was concluded that the resistivity of the cable in the distribution room in power plant Y was much higher than the average value based on the experimental results. Therefore, it was taken as the sample subject of the following experiments and analyzed again. For the second time, the analysis of district power plant Y showed that through simple calculation, the average energy efficiency difference of the distribution room before and after use was 3.1. Finally, it was analyzed that the ABC algorithm could not only improve the energy efficiency of the distribution room in the power plant, but also improve the effective efficiency of its power station. It shows that this kind of algorithm is effective and worthy of further study.
Funding source: Fundamental Research Funds for Inner Mongolia University of Science & Technology
Award Identifier / Grant number: 2022139
Funding source: Project of Inner Mongolia Natural Science Foundation
Award Identifier / Grant number: 2022MS05005
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Research ethics: This article is ethical, and this research has been agreed.
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Author contributions: Na Zhao-Writing; Jicheng Wang and Yuxian Ding-Editing; Yifeng Li-Data analysis.
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Conflict of interest statement: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Research funding: This work was supported by Project of Inner Mongolia Natural Science Foundation (2022MS05005) and Research Funds for Inner Mongolia University of Science & Technology (2022139).
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Data availability: No data were used to support this study.
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© 2023 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Special Issue on Smart Energy Infrastructures for Smart Cities
- Clearing method of regional power spot market based on blockchain and distributed data security reading algorithm
- Investigation on the supporting role of intelligent power system based on low carbon and environmental protection
- Energy consumption calculation and energy-saving measures of substation based on Multi-objective artificial bee colony algorithm
- Evaluation on the method of restoring the complex communication environment in the field based on the complex low pressure platform simulation platform
- Investigation for size and location of electric vehicle charging station accompanying VRP index and commissioning cost
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- Prediction of rotor slot width in induction motor using Dyadic wavelet transform and softmax regression
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Artikel in diesem Heft
- Frontmatter
- Special Issue on Smart Energy Infrastructures for Smart Cities
- Clearing method of regional power spot market based on blockchain and distributed data security reading algorithm
- Investigation on the supporting role of intelligent power system based on low carbon and environmental protection
- Energy consumption calculation and energy-saving measures of substation based on Multi-objective artificial bee colony algorithm
- Evaluation on the method of restoring the complex communication environment in the field based on the complex low pressure platform simulation platform
- Investigation for size and location of electric vehicle charging station accompanying VRP index and commissioning cost
- Research Articles
- Modeling of bidirectional electric vehicle charger for grid ancillary services
- Parameter identification of electric power remote telemetering system based on real-time section data and error-preventing topology analysis
- Prediction of rotor slot width in induction motor using Dyadic wavelet transform and softmax regression
- A novel ultra-high step-up interleaved DC–DC converter based on the three-winding coupled inductor for distributed generation power system
- Estimating and minimizing the eddy current loss in a permanent magnetic fault current limiter
- Cost-effective process experimental studies on stator inter-turn faults detection in induction motor using harmonic RPVM and decomposition wavelet transform
