Multi-target unit maintenance scheduling optimization method and device

A technology for unit maintenance and optimization methods, applied in instruments, data processing applications, energy industries, etc., can solve the problems of large workload, low efficiency, and it is difficult to take into account the reliability and economy of power systems, so as to reduce carbon emissions. , to ensure the effect of stable economic operation

Pending Publication Date: 2021-12-24
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +1
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Problems solved by technology

However, there are problems such as large workload and low efficiency in manual maintenance plan preparation, and it is difficult to balance the reliability and economy of power system operation

Method used

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  • Multi-target unit maintenance scheduling optimization method and device
  • Multi-target unit maintenance scheduling optimization method and device
  • Multi-target unit maintenance scheduling optimization method and device

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Embodiment

[0122] It is assumed that the power system has 32 units and 3 generators, that is, G=32, N i = 3, and carry out maintenance scheduling within 52 weeks, set the period as one week, and set the sub-period as one day, that is, N t =52,N s =7, T(t,s)=24. The population size and the maximum number of iterations of the multi-objective particle swarm optimization algorithm are set to 100 and 400, respectively. The continuous maintenance duration for each unit is set at two weeks. The unit parameters used in the system are taken from the document "Research on Low-carbon Power Generation Scheduling Mode and Its Power Price Mechanism", see Table 1 and Table 2. The load demand in the system is taken from the document "IEEE reliability test system" and the Spanish Electric Energy Market (http: / / www.omel.es / / EN / Resultados / Resultados_index.htm), see figure 1 .

[0123] According to the data in the document "Research on Low-carbon Power Dispatch Technology of Regional Grid Considering C...

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Abstract

The invention discloses a multi-target unit maintenance scheduling optimization method and device, and belongs to the technical field of power system optimization. According to the method, the minimum standard deviation of a system reliability index, the minimum regional carbon emission cost and the minimum total cost of the system are taken as multiple targets, safe operation of a unit is taken as a constraint condition, and a multi-target unit maintenance optimization scheduling model is established; then the unit maintenance optimization scheduling model is solved by adopting a multi-target particle swarm algorithm, and a Pareto optimal solution set is optimized; and finally, a final scheduling solution is selected by adopting an approximate ideal solution sorting method. According to the method, a carbon transaction mechanism is introduced into unit maintenance scheduling, so that the carbon emission of the power system can be reduced to a certain extent, and safe and economical operation of the power system can be ensured.

Description

technical field [0001] The invention belongs to the technical field of electric power system optimization, and more specifically relates to a multi-objective unit maintenance scheduling optimization method and device. Background technique [0002] With the rapid development of social economy, the power demand of enterprises and residents is increasing day by day, which increases the power generation burden of the power grid. In order to make reasonable use of power generation resources in the power grid, scholars at home and abroad have proposed the concept of unit maintenance plan, which ensures the safe, economical and stable operation of the power grid through the optimal allocation of power resources. For large-scale and complex power systems, the maintenance plan is generally compiled manually to achieve overall optimal scheduling. However, there are problems such as large workload and low efficiency in manual maintenance plan preparation, and it is difficult to balanc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06Q10/00
CPCG06Q10/04G06Q10/0637G06Q10/20G06Q50/06Y02P80/10Y02P90/80
Inventor 黄成郭恒元周前李远征俞耀文赵勇
Owner STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST
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