Determination method for reserve capacity of power system accessed with wind power generation

Abstract

The invention provides a determination method for reserve capacity of a power system accessed with wind power generation. According to the method, total load forecast error distribution of a system of each control region is obtained by a mode of a correlation coefficient between forecast error random time sequences of a wind power-load node, and the reserve capacity required for configuration is obtained according to a total error distribution curve. With the method provided by the invention, the changing condition of a region boundary can be effectively handled, a standby calculation result can be rapidly and accurately acquired, and the accuracy and the reliability of the reserve capacity after wind power is accessed are ensured; and meanwhile, the dual requirements of reliability and economy are considered, a flexible load is used for participating in reserve capacity allocation, the standby cost is reduced, and the purpose of economic optimality is achieved.

Description

technical field [0001] The invention relates to the field of application of wind power generation in power systems, in particular to a method for determining the reserve capacity of a power system connected to wind power generation. Background technique [0002] Wind power, as the representative of renewable energy power generation with the most developed scale, has gradually received more and more attention. The power grid should adopt various effective methods to fully accept wind power into the grid so as to make full use of clean energy. [0003] Wind power has the characteristics of randomness, intermittence and volatility, so its large-scale access will lead to an increase in system backup power, peak-shaving capacity and system operating costs. According to traditional policies, new energy power is consumed in the province in principle, but if wind power is consumed locally in a control area, its reserve capacity will be insufficient and there will be potential safet...

AI Technical Summary

Problems solved by technology

However, when the cross-regional consumption of wind power leads to changes in the boundary of the generalized control area, the above methods all need to re-determine the system parameters, establish an optimization model, and iteratively solve the optimal value. Every time the boundary changes, this process must be repeated. The process is quite cumbersome, therefore, the current method cannot be effectively applied to the power grid under the dynamic change of the regional boundary

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