Multi-objective load dispatching and monitoring analysis of main pollution sources for power energy conservation and environmental protection.

At the same time as the rapid growth of the global economy, excessive production has led to serious pollution of water sources and the environment, endangering health and sustainable development of the environment. Realizing the informatization of environmental supervision and the intelligent supervision of pollution sources has become an urgent environmental challenge. In this study, in order to solve the problem of intelligent supervision of pollution sources, an energy-saving and environmentally friendly multi-objective load scheduling method was designed by using multi-objective load dispatching, incorporating environmental factors into power system operation to reduce pollution emissions. The main pollution sources were detected and analyzed. The demand analysis of pollution source online monitoring system was carried out from the perspective of software engineering. According to B/S architecture, the system was divided into corresponding functional modules with the idea of modularization. The system architecture encompassed data collection, transmission, alarm systems, data processing, and centralized control. This integrated approach aided in achieving sustainability in power system operations and environmental protection, offering an effective solution for online monitoring and pollution source management. The results showed that the power system dispatching administrator could view the historical alarm information through the alarm statistics and analysis function and carry out alarm statistics according to different needs. This study provided effective help for the analysis of power system business flow, network operation, and equipment performance. [ABSTRACT FROM AUTHOR]