Medium-pressure microgrid chaotic PSO optimal power flow implementation method based on real-time power price

A technology of real-time electricity price and optimal power flow, applied in the direction of instruments, adaptive control, control/regulation system, etc., can solve the problems of less synthesis, slow convergence of micro-grid scheduling methods, and no consideration

Active Publication Date: 2013-07-24
南京先盾科技发展有限公司
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Problems solved by technology

[0003] The present invention aims to solve the shortcomings of the existing micro-grid scheduling method, such as slow convergence, less integration of health, environmental protection, and economy, and no consideration of storage batteries, fuel cells, and interruptible loads, and provides a micro-grid implementation method that considers comprehensively and converges quickly

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  • Medium-pressure microgrid chaotic PSO optimal power flow implementation method based on real-time power price
  • Medium-pressure microgrid chaotic PSO optimal power flow implementation method based on real-time power price
  • Medium-pressure microgrid chaotic PSO optimal power flow implementation method based on real-time power price

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Embodiment Construction

[0245] Below in conjunction with accompanying drawing, the project of the present invention will be further described. Reference attached figure 1 , the realization steps of the project of the present invention are as follows:

[0246] (1) Static data preparation stage

[0247] 1.1) The objective function of this project is:

[0248] H=αCost eco +βCost emv +γCost hea (1)

[0249] Cost eco = Σ t = 1 24 Σ i = 1 n ( P ...

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Abstract

The invention discloses a medium-pressure microgrid chaotic PSO optimal power flow implementation method based on a real-time power price. According to the medium-pressure microgrid chaotic PSO optimal power flow implementation method based on the real-time power price, the problems of traditional optimal power flow algorithms in microgrid application are analyzed, and a self-adaptation inertia weight chaotic PSO optimal power flow algorithm is provided. On the basis of a traditional PSO, improved self-adaptation inertia weight factors are derived and the chaotic PSO concrete implementation method is provided. The self-adaptation inertia weight chaotic PSO optimal power flow algorithm aims at achieving the aim that the operating cost of a microgrid for 24 hours is minimum. The factors of a microgrid economic cost equation capable of exchanging with a large power grid in a bidirectional power flow mode, interruptible loads, a storage battery operating constraint equation comprising energy losses, environment, health and the like are considered, the real-time power price of a certain electric power market is combined, and on the premise that the requirement for loads is met, economic sharing of the interruptible loads, the storage battery, the DER and the power of the large power grid is achieved through a load curve obtained by load prediction.

Description

Technical field: [0001] The project of the invention relates to a method for realizing the optimal power flow of medium-voltage microgrid chaos PSO based on real-time electricity price. Background technique: [0002] At the beginning of this century, American scholars proposed the concept of microgrid and quickly attracted the attention of the industry. DER connects to the large power grid in the form of a micro-grid, and supports each other with the large power grid to become a new type of power grid architecture, which has attracted much attention. To integrate the microgrid into the grid and give full play to the advantages of DER, a series of issues such as microgrid stability, reliability, grid connection control, energy management, optimal planning, and economic operation must be solved. Among them, the economy of microgrid operation is the key to attracting users and promoting them. Although there are many micro-grid economic scheduling algorithms combined with inte...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
Inventor 王晶陈骏宇蓝恺
Owner 南京先盾科技发展有限公司
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