Node standby capacity rapid evaluation method based on invariable node power failure risk

Abstract

The invention discloses a node standby capacity rapid evaluation method based on invariable node power failure risk, and the method comprises the steps: calculating the difference between the connectivity of each load node and the critical connectivity of each load node, and evaluating the node power failure risk in a normal operation state; evaluating a node power failure risk in each anticipatedoperation scene; screening out a scene combination having an influence on the power failure risk of the target load node, and screening out a scene with the maximum node connectivity reduction amplitude; and recovering the node power failure risk to the node power failure risk in a normal operation state through a means of reducing the node equivalent load by load response, thereby determining the standby capacity required to be provided by the node load response. According to the node standby capacity rapid evaluation method based on the invariable node power failure risk, the accident standby capacity of each load node can be rapidly calculated under the condition that the node power failure risk is invariable, and the feasibility that the node takes the load response as the accident standby to participate in the standby service is improved.

Description

Technical field [0001] The present invention relates to a power outage spare capacity calculating system technologies, and particularly to a power failure risk node based on the node spare capacity unchanged rapid assessment methods. Background technique [0002] In order to protect the power system is sufficiently safe and stable operation and reliability of power supply, generally need to leave a certain operating reserve capacity to respond to load fluctuations and possible failure of the system, this part referred to as load reserve spare capacity (to cope with load fluctuations spare capacity) and the emergency reserve (spare response systems for specimens of fault condition). [0003] Based on the response of spare capacity load with the large-scale renewable energy generating capacity network, volatility greatly enhanced the system is running, brings new challenges for the safe and stable operation of the system. However, with the development of technology and ideas, also ...

AI Technical Summary

Problems solved by technology

The existing technology regards the entire system as a research object, and the calculation methods are all model-based methods. The calculation accuracy is affected by the model accuracy, and the calculation efficiency is limited by the system scale, and it is impossible to directly provide the spare capacity required by each node.

At present, no research has directly focused on each load node. From the perspective of preventive control, in order to maintain the risk of power outage at a load node at a certain level, from the perspective of real-time operation, it is necessary to predict the backup capacity that the node needs to provide in a load response manner. value of

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