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This model is used to solve the day-head peak operation of 14 hydro-thermal-nuclear plants serving multiple power grids in ECPG.
However, due to unreasonable power structure, there is a lack of flexible energy to quickly respond the peak loads of multiple power grids, which has brought a new real challenge for the dispatching center of most regional power grids in China.
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Thus, this method proves to be effective technique to provide scientific decision support for large-scale generation allocation of plants serving multiple interconnected power grids in China.
In addition, the mode shape characteristics are relevant to multiple nodes in power grids, that is to say, we have to build the ARMA models of multiple signals.
This work proposes a computationally efficient optimization technique based on Quantum Inspired Evolutionary Algorithm (QIEA) for the identification of multiple power line outages in smart power grids.
Reference [19] proposes the concept of building stereoscopic power grids using multiple HWACT lines.
Thus, the mode shape magnitude and angle information of multiple dominant interarea modes in power grids can be estimated from the variables Ψ ^ i 0 according to (14).
Sensor applications in multiple fields such as smart power grids, smart buildings and smart industrial process control significantly contribute to more efficient use of resources and thus a reduction of gas emissions and other sources of pollution.
Neural networks for implementing large networked systems such as smart electric power grids consist of multiple inputs and outputs.
It doesn't make sense for multiple internet providers to lay fiber in the ground, any more than multiple power utilities should construct their own grid.
Large-scale application of microgrids in distribution power grids will require efficient integration of multiple microgrids [3, 4, 5].
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