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Multi-target unit maintenance double-layer optimization method and system considering unit combination

A unit maintenance and unit combination technology, which is applied in system integration technology, neural learning method, design optimization/simulation, etc., can solve problems such as the inability to select optimal coefficients, achieve economical and reliable operation, and reduce risks.

Pending Publication Date: 2022-03-25
HUAZHONG UNIV OF SCI & TECH +1
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Problems solved by technology

At present, some scholars have proposed a multi-objective quantum particle swarm algorithm with a fixed "shrink-expansion" coefficient and a multi-objective quantum particle swarm algorithm with a decreasing "shrink-expansion" coefficient. coefficient

Method used

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  • Multi-target unit maintenance double-layer optimization method and system considering unit combination
  • Multi-target unit maintenance double-layer optimization method and system considering unit combination
  • Multi-target unit maintenance double-layer optimization method and system considering unit combination

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Embodiment

[0135] In this embodiment, it is assumed that the power system has 118 nodes and 32 generating units, of which 10 generating units need to be overhauled, and a scheduling period is set as one day, and the power system performs maintenance scheduling and economic scheduling within 30 days. The population size and the maximum number of iterations of the improved multi-objective quantum particle swarm optimization algorithm are set to 100 and 100, respectively. The unit parameters used in the power system are shown in Table 1. Set the period length as one day, see Table 2 for the maintenance time of each unit. Load demand in the power system see image 3 .

[0136] Table 1

[0137]

[0138]

[0139] Table 2

[0140]

[0141] In order to compare the advantages and disadvantages of the improved multi-objective quantum particle swarm algorithm proposed by the present invention and the traditional multi-objective quantum particle swarm algorithm, the Hypervolume index is...

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Abstract

The invention discloses a multi-target unit maintenance double-layer optimization method and system considering unit combination, and belongs to the technical field of power system optimization. Comprising the following steps: acquiring unit power generation cost data, unit maintenance data and daily power utilization load data in a to-be-optimized power system; substituting the data into the multi-target unit maintenance double-layer optimization model considering the unit combination to obtain a multi-target unit maintenance double-layer optimization model considering the unit combination corresponding to the to-be-optimized power system; and solving the multi-target unit maintenance double-layer optimization model to obtain the optimal unit combination, unit maintenance variable, unit output and node electricity price of the to-be-optimized power system. According to the method, the multi-target unit maintenance double-layer optimization model considering the unit combination is established, the total cost of the electric power system, the reliability of the electric power system and the node electricity price fluctuation are comprehensively considered, economical and reliable operation of the electric power system is achieved, and meanwhile the risk brought by the node electricity price fluctuation to the electric power market is reduced.

Description

technical field [0001] The invention belongs to the technical field of power system optimization, and more specifically relates to a multi-objective unit maintenance double-layer optimization method and system considering unit combination. Background technique [0002] In the actual operation of the power system, the power generation plan and the maintenance plan influence each other and are closely related. Both of them essentially achieve the goal of safe and economical operation of the power grid by optimizing the on-off state of the unit. In the traditional power system scheduling planning, the power generation plan is established on the basis of the maintenance plan, and the maintenance plan exists as a constraint of the power generation plan. Using this method will limit the optimization space of power generation plan, and the main part of power generation plan is unit combination scheduling. For this reason, some scholars have proposed the concept of collaborative opt...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/25G06F30/27G06N3/08G06Q50/06
CPCG06F30/25G06F30/27G06N3/08G06Q50/06Y02E40/70Y04S10/50
Inventor 李远征郭恒元黄成何尚洋赵勇俞耀文周前田嘉晨
Owner HUAZHONG UNIV OF SCI & TECH
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