Abstract
A program to enhance the economic & technical grid reliability is proposed in the light of improving grid reliability, The economic model of power grid upgrade program is built up. The solutions to optimize efficiency are presented step by step based on the estimated investment program & minimum portfolio optimization program. Taking the real data of certain power supply company as example, the proposed method is proved to have certain practical value.
Highlights
In order to reduce the losses caused to users by distribution network failures, many researchers are actively expanding research in various aspects
The literature[1] puts forward a statistical index system of power supply reliability for users of low-voltage power distribution systems in our country, defines the meanings and calculation formulas of each index, determines the statistical boundary conditions, and proposes a lowvoltage power distribution system reliability prediction method based on artificial neural network algorithms, using the past results of the reliability statistics of power supply users and the basic data of the power grid as the training samples of the neural network to predict the future reliability of the system[2]
Many studies have laid a solid foundation for the improvement of power supply reliability of the distribution network and provided a theoretical basis for management decision-making
Summary
In order to reduce the losses caused to users by distribution network failures, many researchers are actively expanding research in various aspects. The distribution transformer monitoring system given in the literature [3] can accurately record the start and stop time, cumulative time and number of power outages, count the voltage qualification rate, line loss rate and power supply reliability rate, provide necessary data for comprehensive assessment of power supply quality. This distribution monitoring system can realize the calculation and comprehensive management of the reliability index of the distribution network. Meet the power supply needs of users, and provide users with a more abundant, continuous, safe and reliable power supply
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