Investigation on the supporting role of intelligent power system based on low carbon and environmental protection
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Xinqi Ding
Abstract
The development of modern society requires not only attention to development methods and efficiency, but also correct evaluation of various environmental issues that arise during development, to achieve optimal social development without damaging the ecological environment. Intelligent power systems utilize new energy technologies, energy storage technologies, and smart grid technologies. Against this development background, how to achieve sustainable, environmentally friendly, and Low Carbon (LC) development in the power system operation, which has been at the center of China’s national economic construction and development system, has become a common concern for all participants. Therefore, this paper proposed a study on supporting role of intelligent power systems based on LC and environmental protection. In the new era, the target functions to be achieved by smart grids can provide the necessary support for the construction and development of LC power systems, and its importance is self-evident. Based on this reality, this article took LC power systems as the research object and combined the analysis of the functions of smart grids to discuss clean energy power systems. The experimental results showed that the Power Generation (PG) capacity of thermal PG increased from 280.4 billion kWh to 289.7 billion kWh. The increase in wind PG from 2.5 billion kWh to 5.5 billion kWh showed that although clean energy accounted for a small proportion, the power system was still dominated by traditional PG. However, clean energy PG is increasingly being valued. At the end of this article, corresponding rectification suggestions were also proposed, with the purpose of helping to optimize the development and improvement of LC power systems.
Funding source: Zhejiang Public Welfare Technology Application Research Project
Award Identifier / Grant number: LY16G010009
Funding source: Scientific research projects of Zhejiang Provincial Department of Education
Award Identifier / Grant number: Y201840743
Funding source: Scientific research projects of Wenzhou Science and Technology Bureau
Award Identifier / Grant number: ZG2021038
Acknowledgments
none.
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Research ethics: The power system has realized the conversion of primary energy to secondary energy and has transmitted, distributed, and utilized electric energy. It has become one of the departments with the highest carbon emission levels in national production. Faced with the dual requirements of sustainable energy development and environmental protection, China’s power industry must take the path of LC and sustainable development, which is of great significance for building an ecological civilization and a beautiful China. LC development and national energy conservation and emission reduction policies pose new challenges to the power industry. In the power system, the power grid enterprise is the hub that connects the production and use of electricity. Its core business is the planning and investment of the power grid, the operation of the power system, and the supply of electricity connected to PG. In the context of the new era of LC development, the core business of planning, investment, operation, and operation of power grid enterprises would face multiple challenges and risks. In order to achieve the overall energy conservation and emission reduction goals of the power system and give full play to support role of the LC power industry for national LC production, power grid enterprises need to establish a LC effect evaluation and decision-making mechanism that matches the three core businesses of power grid companies, and continuously optimi their business strategies, to promote the LC sustainable development of the entire power system. Currently, there are still some problems with insufficient experiments in low-carbon and environmentally friendly intelligent power systems. Firstly, the cost of new energy technologies is still high, so it is necessary to further reduce costs and improve economic benefits. Secondly, the construction and operation and maintenance of intelligent power systems require a large number of technical personnel, so it is necessary to improve the cultivation and introduction of technical personnel. In addition, the security and reliability of intelligent power systems also need to be further strengthened to ensure the stable operation of the power system. Finally, the promotion and application of intelligent power systems still require policy support and promotion to promote their development.
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Author contributions: All authors have participated in conception and design, or analysis and interpretation of the data, drafting the article or revising it critically for important intellectual content. The authors read and approved the final manuscript.
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Competing interests: The authors declare that they have no conflict of interest regarding the publication of the research article.
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Research funding: This work was supported by; Zhejiang Public Welfare Technology Application Research Project (Grant No. LY16G010009); Scientifc research projects of Zhejiang Provincial Department of Education (Grant No. Y201840743); Scientifc research projects of Wenzhou Science and Technology Bureau (Grant No. ZG2021038).
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Data availability: The data underlying the results presented in the study are available within the manuscript.
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Articles in the same Issue
- 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
