Model for Generating Typical Scenarios of Electricity Load for Self-Supply Power Plant Enterprises

The selection of appropriate load scenarios for self-power plant enterprises to evaluate the energy consumption economy and select the optimal power consumption strategy has a significant impact on the enterprises' ability to improve their competitiveness. Considering the characteristics of the enterprise's own load, the kernel density estimation method is utilized to calculate the probability density function of the load. This is combined with the Latin hypercube scenario generation method and the Synchronized back generation scenario reduction method to select a typical load scenario for the enterprise of a self-provided power plant. The results demonstrate that the proposed method accurately describes the enterprise's own load characteristics and can serve as a basis for the enterprise's electricity strategy decision-making. This enables the enterprise to gain a better understanding of the characteristics of the self-consumption load.