A real-time optimal control method for active power of wind and solar power generation clusters based on successive approximation of predicted output

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 present invention belongs to the field of electricity system and its automation technology, and more particularly to a high-efficient implementation control method of a scenery-based cluster based on predictive projections. Background technique [0002] The power generation characteristics of wind power and photovoltaic power plant have fluctuations, randomness, and intermittent features. In order to sufficiently absorb the power of the scenery power station under the premise of ensuring the safety and stability of the grid, the grid control center not only needs to master the grid power prediction of the scenery. Information, and can be able to perform real-time control on the grid power of the scenery. GB / T 19963-2011, the national standardization management committee, "Wind Power Field Access Power System Technical Regulations" clear requirements "Wind farm should configure active power control system, have active power regulation capabilities, rec...

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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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