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A Dynamic Economic Scheduling Method of Microgrid System Based on Improved Particle Swarm Optimization Algorithm

A technology for improving particle swarm and economic scheduling, which is applied in the field of dynamic economic scheduling of microgrid systems based on improved particle swarm algorithm, which can solve the problems of easy over-limit and insufficient pertinence, and achieve the effect of achieving a balance between supply and demand.

Active Publication Date: 2017-02-08
STATE GRID CORP OF CHINA +4
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, due to the strict constraints of dynamic economic scheduling, the solution space is limited to a small range. This kind of operation on the particle position is easy to exceed the limit, and at the same time, the pertinence is not strong enough, so there are certain limitations for dynamic economic scheduling.

Method used

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  • A Dynamic Economic Scheduling Method of Microgrid System Based on Improved Particle Swarm Optimization Algorithm
  • A Dynamic Economic Scheduling Method of Microgrid System Based on Improved Particle Swarm Optimization Algorithm
  • A Dynamic Economic Scheduling Method of Microgrid System Based on Improved Particle Swarm Optimization Algorithm

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Embodiment

[0153] In this embodiment, a 17-node microgrid system is used, and its structural parameters and load data are shown in Table 1. The last column in the table is the load on a typical day, indicating the maximum load of the last node, and the power factor of each node load is equal to is 0.85. The daily load ratio curves of industrial load, commercial load and residential load (percentage to the maximum load of the day) such as figure 2 shown. The parameters of the distributed power supply in the microgrid are shown in Table 2. The nodes connected to the distributed power supply in the microgrid are 5, 6, 7, 8, 9, and 12. Units 1 and 2 are diesel units, and units 3 and 4 are fuel units. battery, and units 5 and 6 are micro gas turbines. The electricity fee for the micro-grid purchased from the main network is 0.5 yuan / kWh.

[0154] Table 1 Microgrid parameters

[0155]

[0156] Table 2 Distributed Power Parameters

[0157] a) Diesel unit parameters

[0158]

[0159...

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Abstract

The invention relates to a dynamic economical dispatch method for a microgrid system on the basis of an improved particle swarm optimization. The dynamic economical dispatch method for the microgrid system on the basis of the improved particle swarm optimization comprises the following steps: setting a particle swarm optimization; generating an initial particle swarm; setting the upper and lower limit constraint of the speed of particles; determining the adaptive values of the particles; comparing the adaptive values of the particles, finding the local optimal value and the position of each particle, and also finding a particle which achieves a global optimal value and the position of the particle; updating the position and the speed of each particle; judging whether the position and the speed of each particle are out of limit; determining the transmitting power of PCC (point of common coupling) serving as a swing bus; carrying out acceleration processing to the speed of the particles by an adaptive algorithm; and if the speed of the particles achieves iterations, stopping iteration, and obtaining a final result. According to the dynamic economic dispatch method for the microgrid system on the basis of the improved particle swarm optimization, the speed of the particles is regulated, a targeted search can be carried out when a search becomes a local search; meanwhile, the PCC used for connecting a microgrid with a major network is used as the swing bus; and the PCC is used for balancing when on-line load and the power output of a distributed power supply are not matched.

Description

technical field [0001] The invention relates to an economic scheduling method for optimal operation of a micro-grid system, in particular to a dynamic economic scheduling method for a micro-grid system based on an improved particle swarm algorithm. Background technique [0002] During the operation of the microgrid system, the economy of operation needs to be considered. The operation of the unit requires a certain cost. The cost function of different units is different, so the economic cost of different output schemes is also different. The purpose of economic dispatch is to optimize the output of each unit within a certain period to obtain the optimal output level and minimize the cost. The output of the unit in the front and rear periods also involves the constraints of the unit’s climbing ability, and the output of the unit in the front and rear periods is closely related, which requires dynamic economic dispatch of the microgrid system. At the same time, due to the lim...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/00G06Q10/04
Inventor 李相俊宁阳天麻秀范王松岑惠东范元亮
Owner STATE GRID CORP OF CHINA
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