Distributed new energy full-observation modeling method and system based on topology automatic aggregation

Abstract

A distributed new energy full-observation modeling method and system based on topology automatic aggregation of the present invention extracts new energy grid-connected information based on distributed new energy grid-connected ledgers, and builds a distributed energy grid-connected database; based on the obtained The topology model of the main distribution network establishes the mapping relationship of the main distribution network and fits the integrated grid topology model of the main distribution network; through grid-connected information and sites or distribution transformers of the integrated grid topology model, one-to-one or many-to-one Mapping; based on the connection relationship between the built new energy and the main distribution network integration model, build a topological connectivity map of power grid equipment; set the observation points of the full observation model, and build a new energy automatic aggregation full observation that reflects the mapping relationship between each observation point and new energy Model. A distributed new energy full-observation modeling method based on topology automatic aggregation of the present invention realizes aggregation observation of connected new energy by power grid operating equipment at all levels, and effectively solves the defect that distributed new energy cannot be observed and managed in time.

Description

technical field [0001] The invention relates to the field of intelligent management of power grids, in particular to a distributed new energy full-observation modeling method and system based on topology automatic aggregation. Background technique [0002] At present, the construction of new energy power generation projects in my country presents new characteristics of distribution. The large-scale distributed grid connection of new energy sources such as photovoltaics brings pressure on the safe operation of the power grid. , Small scale, large differences and other reasons make it difficult to conduct unified management, resulting in relatively lagging business such as data monitoring and operation management. [0003] According to statistics, 75% of the new energy projects that have been put into operation in my country are connected to the distribution network of 10 kV and below. In the power system, the new energy power stations connected to the grid of 35 kV and above h...

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Problems solved by technology

[0002] At present, the construction of new energy power generation projects in my country presents new characteristics of distribution. The large-scale distributed grid connection of new energy sources such as photovoltaics brings pressure on the safe operation of the power grid. , small scale, large differences and other reasons make it difficult to conduct unified management, resulting in relatively lagging business such as data monitoring and operation management

[0003] According to statistics, 75% of the new energy projects that have been put into operation in my country are connected to the distribution network of 10 kV and below. In the power system, the new energy power stations connected to the grid of 35 kV and above have achieved real-time monitoring and management. The construction of distribution network automation is in its infancy in my country, and it is determined to build a "world-class" distribution network development strategy in 2020. However, considering the cost of construction revenue, it is difficult to effectively cover all points even after it is completed.

Therefore, for a long period of time in the future, my country's power dispatching control center will not be able to grasp the power generation and operation of new energy sources such as low-voltage photovoltaics and wind power in a timely manner, which will bring great hidden dangers to the safe and stable operation of the power grid.

[0004] The problem of the high proportion of new energy in the operation and management of my country's provincial and prefecture-level power grids has become prominent. A series of problems such as inaccurate grid operating load statistics caused by grid load reversal, frequent heavy and overloaded transmission sections of the grid, and reduced accuracy of grid load forecasting There is an urgent need to grasp the characteristics of new energy power generation, and it is necessary to build a full observation model for new energy to solve the above problems

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