437 / 2024-03-17 21:29:04

Determination of scheduling plan for hydropower station adapting to the load demands of multiple power grids

multiple power grids; load curves; output allocation scheme

Subtheme 6: Smart Water > Topic 2: Intelligent Scheduling of Water Engineering

Hydropower is a high quality peak shaving power supply because of its rapid load response and flexibility of regulation. In China, relying on long-distance large-scale high-voltage AC/DC transmission technology for large-scale cross provincial electricity consumption, the transmitting end hydropower stations need to transmit electricity to multiple power grids. Due to the differences in factors such as loads and power consumption of different power grids, it is difficult to timely make operational scheduling plans that can simultaneously respond to the load regulation demands of multiple power grids. This article applies the dimensionality reduction approach based on the characteristics of load curves to make a relatively reasonable hydropower operational scheduling plan and output allocation scheme that can meet multigrid demands. It can be divided into two steps: firstly, the division of time periods based on load characteristic curves can be achieved through an improved division method, which reduces the impact of compute scale, to improve errors caused by subjective human experience. Secondly, the optimal proportional relationship between output at different time periods is determined through optimization algorithms. For multiple power grids, the load curves can be processed through the standardized curve based on certain proportions before dividing into different time periods. Alternatively, a multi-objective function can be used to determine the optimal output allocation scheme between power grids after dividing into different time periods. The aforementioned method can quickly develop a feasible scheduling plan, which can balance the load demands of different power grids and the benefits of hydropower stations.