This invention belongs to the field of photovoltaic power generation control technology and discloses a method for partitioning distributed photovoltaic clusters in a regional distribution network. It calculates the electrical distance between nodes based on a frequency-active power sensitivity matrix and obtains the electrical distance matrix. An optimized initial centroid is obtained using the PSO algorithm. Based on the initial centroid, the K-means algorithm is applied to perform cluster analysis on the nodes of the distribution network, completing the cluster partitioning of energy storage nodes. Using energy storage nodes as centroids, the remaining photovoltaic nodes without energy storage and load nodes are further partitioned into clusters. A comprehensive performance index is obtained by weighting three indicators: active power balance, energy storage balance, and modularity. The partitioning scheme with the highest comprehensive performance index is considered the optimal cluster partitioning. This invention uses the energy storage area as the center to partition distribution areas containing distributed photovoltaics into clusters, providing necessary inertia and frequency support for the power grid.
This invention discloses an adaptive differential evolutionalgorithm for optimizing passive radarstation deployment, comprising the following steps: establishing a passive time differencestation deployment simulationscenario; step 2: population initialization; step 3: fitness value calculation; step 4: genetic operation. On the one hand, this invention addresses the problem of numerous variable parameters and complex parameter settings in particle swarm optimization (PSO) algorithms by incorporating iteration counts, fitness values, and weights into parameter generation, making the algorithm's search and convergence more reasonable. On the other hand, this invention considers the impact of station location error, time difference error, and communication distance between observation stations on the deployment results during experimental simulation, making the modeling process more realistic.
The invention relates to a photovoltaic cell alkaline polishing method capable of improving a liquid carrying phenomenon, which comprises a step of carrying out alkaline polishing on a siliconwafer, and in the alkaline polishing step, the alkaline polishing temperature is 55-60 DEG C, and the alkaline polishing time is 150-200s. The alkaline polishing temperature and time are adjusted, so that the corrosion amount of the siliconwafer is reduced, the thickness of the siliconwafer is ensured, the risk that the bending degree is too large due to the fact that the silicon wafer is too thin is reduced, and the silicon wafer is prevented from being attached and carrying liquid; meanwhile, the reaction intensity of the tank body is reduced, the integrity of the silicon wafer in the basket is improved, and the tooth staggering risk is reduced, so that the liquid carrying phenomenon is reduced.