| abstract |
The invention relates to a method for optimizing the power supply structure of a sending-end power grid considering channel constraints, comprising the following steps: acquiring unit data, load-related data and price information data; establishing a power supply structure optimization model considering channel constraints; The output of wind farms and solar power stations equipped with energy storage, the local load peak regulation capacity and the transmission capacity of key sections are used to simulate the random production of wind, solar energy, water, fire and pumped storage power generation; the hybrid particle swarm algorithm is used to solve the power supply structure. Optimize the model to obtain the optimal power structure optimization scheme. Compared with the prior art, the present invention considers the conveying capacity constraints of key sections, ensures that the newly put into operation units do not limit the output due to insufficient section conveying capacity, and guarantees the economy and rationality of the planning scheme. |