Multiple target voltage reactive rolling optimization method based on prediction and particle swarm optimization

Abstract

The present invention discloses a multiple target voltage reactive rolling optimization method based on prediction and a particle swarm optimization, the method includes the steps as follows: setting a time set of a rolling optimizing calculation; collecting and processing load prediction data and real-time wind power prediction data of a regional power grid in the time set, and simultaneously, acquiring basic load flow calculation data of the regional power grid; constructing an objective function and a constraint condition of regional voltage reactive optimization, and further solving; and checking the optimized result, and then entering into the voltage reactive optimization calculating process of next rolling period. The method realizes the voltage reactive rolling optimization of the regional power grid by employing the particle swarm optimization, provides an effective reference for the voltage / reactive control of the regional power grid in the electrical power system, and has an obvious guidance and reference for system scheduling and operating. The method is suitable for the power grid region with many distributive type wind power places, applies advantages of the particle swarm optimization to the rolling optimization of the regional power grid, and provides a decision support for the power grid scheduling.

Description

technical field [0001] The invention relates to the electrical field, in particular to a multi-objective rolling optimization method for voltage and reactive power based on prediction and particle swarm algorithm. Background technique [0002] Since the 1970s, countries around the world have begun to study wind power generation technology. Especially in recent years, people have paid more and more attention to the large amount of carbon dioxide emissions caused by the extensive use of fossil energy and climate change. Renewable energy sources such as wind power, solar power, and geothermal power that have significant emission reduction effects have developed rapidly. Among them, wind power generation technology is the most mature, and its production cost is already close to that of conventional power sources, so it has developed rapidly. However, due to the fluctuating wind speed in the natural environment, which has random and intermittent characteristics, the output of wi...

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Problems solved by technology

However, due to the fluctuating wind speed in the natural environment, which is random and intermittent, the output of the wind farm fluctuates greatly, and the wind farm cannot be dispatched, which is very different from conventional thermal power and hydropower units.

Especially when the fast wind speed (wind power) fluctuates, the system voltage, frequency, power flow, etc. will fluctuate rapidly, which will affect the safe and stable operation of the system

In addition, many wind turbines are not equipped with active power-frequency control functions. In order to adapt to wind power fluctuations, the system often needs to arrange additional backups, resulting in reduced system efficiency.

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