WeChat Power Grid Maintenance
A New Approach to the Application of Condition-based Maintenance
State Grid Heilongjiang Electric Power Co., Ltd Sun Wei State Grid Heilongjiang Electric Power Co., Ltd. Electric Power Research Institute Zhang Kexin State Grid Heilongjiang Electric
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In this paper, an optimization model of power grid equipment maintenance plan that takes into account the reliability and economics of power grid operation is constructed with maintenance
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5 FAQs about [WeChat Power Grid Maintenance]
Does a power grid equipment maintenance plan include safety constraints?
In this paper, an optimization model of power grid equipment maintenance plan that takes into account the reliability and economics of power grid operation is constructed with maintenance constraints and power grid safety constraints as its constraints.
Can a power grid equipment maintenance algorithm make a better decision?
Through case analysis, the comparative results show that the proposed algorithm has better optimization and decision-making ability, as well as lower maintenance cost. Accordingly, the algorithm can realize the optimal decision of power grid equipment maintenance plan.
Why do we need periodic maintenance for power grid equipment?
The safe and reliable operation of power grid equipment is the basis for ensuring the safe operation of the power system. At present, the traditional periodical maintenance has exposed the abuses such as deficient maintenance and excess maintenance.
What is the practical significance of a power grid scheduling algorithm?
The practical guiding significance of this algorithm is to realize the accuracy and automation of scheduling in the scheduling of power grid maintenance plan. The authors declare that they have no conflicts of interest. The safe and reliable operation of power grid equipment is the basis for ensuring the safe operation of the power system.
Can stochastic scheduling improve the absorption capacity of wind power?
In reference , a coordinated stochastic scheduling model based on the multiobjective optimization method is proposed to improve the absorption capacity of wind power on the premise of energy saving and emission reduction.