2020
DOI: 10.1109/access.2020.3027705
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A Multi-Source Coordinated Optimal Operation Model Considering the Risk of Nuclear Power Peak Shaving and Wind Power Consumption

Abstract: In view of the development trend of nuclear power and offshore wind power in China's coastal areas, as well as the current situation of peak shaving pressure brought by reverse peak shaving of wind power to the power grid. In this paper, according to the number of failures and power loss per year in each region, the risk of peak load regulation is calculated comprehensively and quantitatively, and the risk cost increment of nuclear power peak shaving is calculated and evaluated. Optimize and linearize the cons… Show more

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Cited by 19 publications
(7 citation statements)
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“…The NP units adopt the operational mode of replacing nuclear fuel in a fixed cycle; therefore, reducing the power during the operation cycle causes the waste of nuclear fuel and increases the cost of spent fuel processing (Zhao et al, 2020). In addition, the power regulation of nuclear reactors can lead to a substantial increase in electricity consumption within a power plant.…”
Section: ) Economicalmentioning
confidence: 99%
“…The NP units adopt the operational mode of replacing nuclear fuel in a fixed cycle; therefore, reducing the power during the operation cycle causes the waste of nuclear fuel and increases the cost of spent fuel processing (Zhao et al, 2020). In addition, the power regulation of nuclear reactors can lead to a substantial increase in electricity consumption within a power plant.…”
Section: ) Economicalmentioning
confidence: 99%
“…The data control area's optimal scheduling is achieved, including store operations, to achieve congestion relief. The distributed approach retains the responsibility of the control area [18][19][20][21]. moth flame optimization (MFO) is one of the latest optimization algorithms used for hydraulic, thermal, and natural gas hybrid power generating sets; in this article, it is used to find PID controllers' best parameters for AGC system [22][23][24].…”
Section: Literature Surveymentioning
confidence: 99%
“…The urban distribution network that is inactive generally has limited ability to regulate power flow, which results in the problem of a large difference between the daily peak and valley of the net load (Uddin et al, 2018). On the other hand, the traditional energy storage has relatively small storage capacity with a high investment cost, and hence, it is difficult to store energy effectively on a large scale and for a long time (Zhao et al, 2020). Considering the fact that the traditional urban distribution network cannot fully meet the electricity demand of new-type loads such as EVs and HVs, the development of day-ahead cooptimization of multi-energy systems is of considerable interest.…”
Section: Introduction 1motivationmentioning
confidence: 99%