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Multi-objective optimization method and system for two-machine sequential start-up rules of pumped storage units

A pumped-storage unit, multi-objective technology, applied in the field of multi-objective optimization of the two-machine sequential start-up rule of the pumped-storage unit, can solve problems such as insufficient depth

Active Publication Date: 2021-01-05
HUAZHONG UNIV OF SCI & TECH
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  • Application Information

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Problems solved by technology

However, the current research results on the start-up regulation technology of pumped storage units are few and not deep enough.

Method used

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  • Multi-objective optimization method and system for two-machine sequential start-up rules of pumped storage units
  • Multi-objective optimization method and system for two-machine sequential start-up rules of pumped storage units
  • Multi-objective optimization method and system for two-machine sequential start-up rules of pumped storage units

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Embodiment approach

[0185] According to a preferred way, see Image 6 , the present invention provides a preferred implementation of step (2), specifically:

[0186] Before starting the optimization calculation, pre-set the algorithm parameters. The maximum number of iterations is set to 500, the number of population particles is set to 200, the external storage set memory is set to 100, the initial value of the inertia weight w is set to 0.5, and the inertia weight decay rate d is set to 0.99,, c 1 、c 2 Both take 1.6.

[0187] Step1: Define the parameters of MOPSO and the information of particles, including the parameter information contained in MOPSO, the position and velocity information of particles.

[0188] Step2: Initialization, including particle P i The decision variable θ i (k) and flight speed V i (k), the current number of iterations k=1, i=1,...,N, where N is the size of the particle swarm.

[0189] Step3: The decision variable θ i (k) Introduce the sequential start-up model ...

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Abstract

The invention discloses a multi-objective optimization method and system for the sequential start-up rule of two pumped storage units. The method is specifically as follows: according to the layout of one hole and two machines in the pumped storage power station, the simulation model of the regulation system of one hole and two machines is established, and the speed overshoot of the 1# unit and the speed rise time of the 2# unit are used as the optimization objective function. Under the constraints of decision variables, adjustment time and oscillation times, the multi-objective particle swarm optimization algorithm is used to optimize the start-up law, and the optimization results obtained through iterative solution are a set of optimal start-up law solutions. By using the optimization method provided by the present invention, a group of optimal start-up law solution sets can be obtained, providing more decision-making options for power plant operators, and the solutions selected through decision-making represent better start-up rules.

Description

technical field [0001] The invention belongs to the technical field of hydroelectric power generation, and more specifically, relates to a multi-objective optimization method and system for the two-machine sequential start-up rule of a pumped-storage unit, which is used to optimize the start-up rule when the two-machine sequential start-up of the pumped-storage unit is running Make an optimization. Background technique [0002] As the scale of the power grid continues to increase, it is becoming more and more important to maintain the stability of the power grid. Because of its rapid start-up and shutdown and flexible operation, the pumped storage unit has assumed the role of peak-shaving and valley-filling in the power grid, which is essential to maintain the stable operation of the power grid. less part. However, the current research results on the start-up regulation technology of pumped storage units are few and not deep enough. [0003] The start-up process can be div...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06Q10/04G06Q50/06G06F111/06
CPCG06Q10/04G06Q50/06G06F30/20
Inventor 李超顺侯进皎
Owner HUAZHONG UNIV OF SCI & TECH