A reactive power optimization method for photovoltaic system based on quantum particle swarm optimization algorithm

A technology of quantum particle swarm and photovoltaic system, applied in the field of reactive power optimization of photovoltaic system based on quantum particle swarm algorithm

CN109274136AInactive Publication Date: 2019-01-25NANJING UNIV OF POSTS & TELECOMM
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2019-01-25
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to a reactive power optimization method of a photovoltaic system based on a quantum particle swarm algorithm, belonging to the technical field of reactive power regulation of a photovoltaic power station. The method of the invention comprises the following steps: (1) analyzing the influence of grid-connected photovoltaic power station on the voltage of the distribution network system; 2, establishing a mathematical model for optimizing that reactive power compensation of a distribution network of a photovoltaic power station; Step 3, solving the reactive power optimization model of the photovoltaic system by using the quantum particle swarm optimization algorithm. The reactive power optimization method of the photovoltaic system based on the quantum particle swarm algorithm provided by the invention can effectively reduce the active power network loss, obviously increase the voltage value of each node, and enable the distribution network system to run more economically and stably.
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Description

technical field

[0001] The invention belongs to the technical field of reactive power optimization of photovoltaic power stations, and in particular relates to a reactive power optimization method of a photovoltaic system based on a quantum particle swarm algorithm. Background technique

[0002] Due to the limited reserves of fossil energy, non-renewable and highly polluting traditional fossil energy, more and more scholars are devoted to the research of green and pollution-free renewable energy. As a renewable energy source, solar energy resources are widely distributed and inexhaustible, so photovoltaic power generation has received more and more attention and research. The power generation of photovoltaic power generation systems is affected by factors such as climate and seasons, so photovoltaic power generation is unstable. When photovoltaic power generation is integrated into the distribution network, its high penetration rate will lead to an increase in the voltage o...

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Embodiment Construction

[0083] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0084] A method for reactive power optimization of photovoltaic systems based on quantum particle swarm algorithm provided by the present invention, such as figure 1 with Figure 4 As shown, it specifically includes the following steps:

[0085] S1 analyzes the impact of grid-connected photovoltaic power plants on the voltage of the distribution network system, including the impact of active power and reactive power of photovoltaic power plants on grid voltage.

[0086] The voltage level of each node in the power grid is determined by the power flow distribution of the power grid. When the system is connected to a photovoltaic power station, it will affect the power flow distribution and cause the voltage of each node to change. The simple circuit of grid-connected photovoltaic power station is as follows: figure 2 shown. figure 2 P i...