Dezhi Li

Micro Network Monitoring Technology Research for Smart Grid

With the rapid development of economy and electrical load, the social power demand becomes intense. At the same time, the blackout of large areas at home and abroad in recent years has exposed the vulnerability of capacity of anti-external shock of the grid. While, distributed generation has many advantages such as environmentally friendliness, flexibility, decentralizing, high efficiency, good reliability, and it is considered to be a beneficial supplement for large-scale power grid in future. Micro-grid monitoring technology is able to effectively integrate the advantages of distributed generation and improve the capacity of self-healing and anti-external burst interference of the distribution network, in order to achieve grid-connected power generation by more green renewable energy, and minimize its adverse impact to the power grid. This paper firstly introduces the main features and problems of the distribution network monitoring. Then, the main function of the micro-grid monitoring system is described based on concepts and characteristics of micro-grid. At last, there is some suggestions for micro gird monitoring technology.

Electric power energy efficient management system based on optimization of energy consumption modeling1

With the development of smart grid technology, power energy efficiency evaluation will be driven to become more intelligent and professional. In order to achieve energy conservation and low-carbon economy, energy efficiency technologies need to be improved. The application of energy efficient technologies has to be enhanced from the supply side, power grid side and demand-side in order to raise energy efficiency effects and update energy conservation technologies. The key technologies, system architecture and advanced applications of demand-side power efficiency evaluation and management system were described in detail in this paper. The monitoring model, efficiency analysis, and optimized control of energy efficiency management system were also elaborated with case studies. The impact and prospect of this technology were finally analyzed.