A method for building intelligent power consumption strategy acquisition based on adaptive particle swarm optimization
A particle swarm algorithm and acquisition method technology, which is applied in the field of building intelligent power consumption strategy acquisition based on adaptive particle swarm algorithm, can solve problems such as failing to provide a practical and effective control method.
Active Publication Date: 2017-03-01
NANJING UNIV OF POSTS & TELECOMM
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[0003] At present, a lot of research has been carried out on the problem of intelligent power consumption, focusing on smoothing power fluctuations of tie lines, reducing energy consumption and improving user comfort. However, in the power consumption scheme for smart buildings, the existing technology has not been able to provide A practical and effective control method, so that it has the optimal cost of electricity on the basis of achieving electricity balance
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[0042] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0043] Such as figure 1 As shown, the present invention designs a building intelligent power consumption strategy acquisition method based on the adaptive particle swarm optimization algorithm. For buildings with at least two power supply sources, obtain the optimal Power consumption strategy, the acquisition method of building intelligent power consumption strategy, firstly, under the premise of meeting the characteristic requirements of each power supply source, obtain a preset number of power consumption schemes of the building in each time period of the preset future application implementation time, and then Iterate according to the various power consumption schemes, wherein, in each iteration process, on the premise of meeting the requirements of the characteristics of each power supply source, on the basis of each ...
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The invention relates to an intelligent building power utilization strategy acquiring method based on a self-adaptive particle swarm algorithm. As for a building provided with at least two power supplies, firstly, a preset number of power utilization schemes of the building at each time period of preset future application and implementation time are acquired on the premise that characteristic requirements of each power supply are met, then, iteration is performed according to each power utilization scheme, the lowest power utilization cost in each iteration process is acquired, and finally, the lowest power utilization cost is acquired from the corresponding lowest power utilization costs in all the iteration processes. The power utilization scheme corresponding to the power utilization cost is the optimal power utilization strategy at each time period of preset future application and implementation time, so that the best power utilization strategy capable of realizing the target of the minimum electric cost expenditure is provided.
Description
technical field [0001] The invention relates to a method for acquiring an intelligent electricity utilization strategy for a building, in particular to a method for acquiring an intelligent electricity utilization strategy for a building based on an adaptive particle swarm algorithm. Background technique [0002] The power equipment of traditional household buildings includes controllable and uncontrollable electrical equipment such as refrigerators, washing machines, water heaters, air conditioners, and lighting, as well as power equipment such as photovoltaic power generation, energy storage batteries, and micro gas turbines. Thanks to the support of information and communication technology, smart meters, smart sensors, energy management units, and high-speed two-way communication will be widely used in various buildings. Peak power prices are used by power companies to motivate power users to participate in demand response projects. Due to the support of the local area c...
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IPC IPC(8): G06Q10/04G06N3/00
Inventor 陈凯旋谢俊岳东吴英俊雍太有金珍
Owner NANJING UNIV OF POSTS & TELECOMM