Comprehensive confidence capacity evaluation method for offshore wind plant group with complex topological structure

Abstract

The invention provides a comprehensive confidence capacity assessment method for an offshore wind power plant group with a complex topological structure, and the method comprises the steps: collecting exploration or meteorological wind speed data, carrying out the analysis of the total output of a wind power plant, and obtaining a Copula joint distribution function; according to main scenes of fan output in each wind power plant, enumerating element outage events, performing correction calculation on output distribution in each wind power plant through a linear optimal power flow model, and obtaining total correction output distribution of a wind power plant group by using a Copula joint distribution function; and obtaining the comprehensive confidence capacity of the system according to the total corrected output distribution of the wind power plant group and the outage table of the sending-out system, thereby evaluating the continuity and sufficiency of the supply load of the offshore wind power plant group. According to the method, a topological net rack and a circuit breaker in the wind power plant, a sending-out system of the wind power plant group and the fault process and common cause outage of all elements are considered, the precision and the efficiency are both considered, and a new technical support can be provided for planning and development of offshore wind energy resources.

Description

technical field [0001] The invention relates to a wind power confidence capacity assessment method, in particular to a comprehensive confidence capacity assessment method for complex topology offshore wind farm groups. Background technique [0002] With the continuous advancement of offshore wind power planning and construction, in order to ensure the smooth progress of large-scale offshore wind power grid-connected planning, it is necessary to evaluate its actual operating equivalent capacity under the consideration of random wind speed and reliability issues, that is, to evaluate its confidence capacity. effective calculation. At the same time, with the continuous development of offshore wind power in the direction of large-scale and deep sea, there are a large number of wind turbines in wind farms, and the topological structure of its power collection system is complex, and it is likely to have a large number of ring network structures. Due to the complex topological str...

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Problems solved by technology

At the same time, with the continuous development of offshore wind power in the direction of large-scale and deep sea, the number of wind turbines in wind farms is large, and the topology of its power collection system is complex, and it is likely to have a large number of ring network structures.

Due to the complex topological structure and flexible switch configuration of the internal power collection system of offshore wind farms, the reliability assessment of power collection systems often uses analytical methods. However, due to the possible existence of ring networks in the topological structure of power collection systems, the structure and constraints are more complex , the failure consequence analysis after component outage, topology reconstruction, fan removal and other problems are special problems that do not exist in traditional radial topology, and cannot be solved by existing reliability evaluation methods

In addition, the reliability assessment of power collection systems in multiple wind farms needs to consider the dimensionally reduced wind speed distribution, while the reliability assessment of the wind farm group as a whole needs to consider the joint distribution of multiple variables. If wind speed data processing and wind farm level The correlation analysis of data will take a lot of time, and the calculation efficiency cannot be guaranteed

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