DG grid connection optimization configuration method based on improved genetic algorithm

Abstract

The invention discloses a DG grid connection optimization configuration method based on the improved genetic algorithm. The method comprises the following steps: Step 1, establishing an objective function based on system losses, voltage deviations and economical performances; Step 2, establishing equality constraints according to the objective function; Step 3, establishing inequality constraints;and Step 4, using the reciprocal of the objective function as a fitness function, and calculating the optimal solutions through the genetic algorithm to obtain an installation position and an installed capacity of a DG. The method disclosed by the invention has the advantages that the problem in the prior art that voltages of nodes in a power distribution system cannot be effectively improved after adoption of an installation position and an installed capacity of the DG because the installation position and the installed capacity of the DG are determined mostly based on empirical equations and human judgments is solved, the system losses are reduced, and the system operation stability and the power supply safety are improved.

Description

Technical field: [0001] The invention belongs to the technical field of power grid system optimal configuration, and in particular relates to a DG grid-connected optimal configuration method based on an improved genetic algorithm. Background technique [0002] With the rapid development of our country's economy and social progress, the demand for electric power is further expanded, fossil energy is gradually exhausted, and environmental pressure is increasing year by year. Environmental pollution has always been a global problem. Facing environmental problems and energy depletion, new energy has become increasingly popular. Much attention. The proposal of distributed power has broken the original power system. The access of this efficient, clean and flexible distributed power will have an impact on node voltage, line current, power distribution, power flow distribution, etc. It has an inseparable relationship with the location and capacity of the distributed power supply. ...

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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a DG grid-connected optimization configuration method based on an improved genetic algorithm, so as to solve the problem that most of the determination of the installation position and installed capacity of the DG in the prior art is based on empirical formulas and artificial determination. As a result, the installation position and installed capacity of DG cannot effectively improve the voltage of each node in the power distribution system, reduce the system network loss, and improve the stability of system operation and the security of power supply.

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