Wind-photovoltaic power generation cluster active power real-time optimal control method based on predicted output successive approximation

Abstract

The invention discloses a wind-photovoltaic power generation cluster active power real-time optimal control method based on predicted output successive approximation, which belongs to the technical field of power systems and automation thereof. The predicted output of a wind-photovoltaic power station is gradually corrected according to the change trend of the difference between the actual outputof the wind-photovoltaic power station and an instruction in the execution period of the instruction. Based on a linear programming algorithm, optimal allocation of the power generation instructions of the wind-photovoltaic power station based on the principle of openness, fairness and justice is realized by taking the corrected predicted output value as an allocation basis, considering the indexes and factors affecting the instruction allocation prediction accuracy and control performance, taking the minimum cost of wind and photovoltaic energy curtailment as an objective and taking the safety and stability constraint, the overall peak shaving constraint and the wind-photovoltaic independence constraint into account. The power generation capacity of the wind-photovoltaic power station andthe reception capacity of the grid are fully utilized. The ubiquitous problems in wind-photovoltaic power generation cluster grid-connection control, such as low prediction precision and insufficientutilization of the wind-photovoltaic power generation capacity and the reception capacity of the grid, are solved.

Description

technical field [0001] The invention belongs to the technical field of electric power systems and automation thereof, and in particular relates to a real-time optimization control method for active power of wind and solar power generation clusters based on successive approximation of predicted output. Background technique [0002] The power generation characteristics of new energy power plants such as wind power and photovoltaic power plants are volatile, random and intermittent. In order to fully absorb the power of wind power plants under the premise of ensuring the safety and stability of the power grid, the power grid control center not only needs to master the grid-connected power forecast of wind power plants information, and it is necessary to be able to control the grid-connected power of the wind power plant in real time. GB / T 19963-2011 "Technical Regulations for Wind Farm Connected to Power System" promulgated by the National Standardization Management Committee c...

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Problems solved by technology

[0006] However, the existing technical achievements have not corrected the output prediction value according to the difference between the actual output of wind and solar power plants connected to the grid during the instruction execution period and the instruction, nor have they comprehensively considered the grid security and stability constraints, wind and solar independent constraints, and peak shaving constraints to achieve wind and solar curtailment. Optimal allocation of active power commands for wind and solar power plants with the goal of minimum

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