Coal resource utilization system, based on circular economy, is an opening, complex and time-varying system. It composes of subsystems such as industry, population, economy and environment etc. Taking the industry subsystem as prime object, this paper builds its system dynamics model adopting the system dynamics method based on full life cycle. The adjustment parameters such as utilization rate of by-product of mining, the proportion of coal use in each industry and waste recycling rate etc. were confirmed. As a case of coal utilization system being designed, thirteen development projects belong to two types of scenarios were run on the model. The efficacy coefficient method was applied to analyze the simulation results and determine the comparatively best project of coal resource utilization system for the first time. The results indicate that the C4 among them are the best project comparatively, its waste emission is the least, and the benefits of economy, environment and society are the maximum. Research shows that extending industrial chain, increasing production proportion of high added-value product and raising waste recycling rate are beneficial to decrease coal-mining quantity for unit output value, protect coal resource and achieve sustainable development, namely that adopting circular economy development pattern is undoubtedly worthy of advocating for sustainable development of economy, environment and society.
Transmission lines is an important part of the power system. Transmission line condition monitoring system can enhance the operational reliability of the grid line level of safety, at the same time lay the foundation for intelligent transmission line. Insulator contamination monitoring , lightning monitoring, environmental monitoring, wire breeze vibration monitoring online monitoring technology on the existing transmission line condition monitoring technologies , including comparative analysis of the far-reaching. It can reduce the workload of the artificial line inspection , to reduce the occurrence of pollution flashover to improve power supply reliability. To reduce the pollution flashover occurred to improve the reliability of power supply. Condition based maintenance decision support and sharing of information with other systems. HOMER and MATLAB simulation software , simulation , historical data analysis . Export real - time wind speed data, provide data to support the conductor galloping and aeolian vibration of monitoring and environmental monitoring.
The substation electric power equipment condition monitoring is the basis of intelligent substation. This paper analyzes the composition of the substation electric power equipment condition monitoring system and monitoring parameters, and with the transformer condition monitoring as an example, this paper proposes fault diagnosis methods of electric power equipment using artificial neural network(ANN).
Intelligentialize of distribution networking technology will become an important trend as the development of the electric power industry in future. In order to build the integration platform of intelligent power grid, the SCADA technology of distribution grid, the advancing technical method of condition monitoring are introduced into the distribution grid monitoring system. Meanwhile, the autocorrelation function is introduced into load forecasting and established the power load forecasting model which is examined based on the MATLAB BP neural network tools of load simulation software. Monitoring distribution network structure state and knowing state clearly of forecasting distribution network node load will provide effective information to establish platform of smart grid information integration. Through the simulation examples, proving the effectiveness and practicability of the scheme.
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