Intelligent decision making method for distributed power supply and micro grid of distributed power supply

A distributed power and intelligent decision-making technology, applied in the electric power industry, can solve the problems of backward access technology and devices, low security, stability and reliability, and large installation workload, and achieve the greatest social and environmental benefits. improve the efficiency of equipment operation and ensure the effect of operation

Active Publication Date: 2016-04-27
STATE GRID SHANDONG ELECTRIC POWER +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This technology helps businesses make informed decisions about how they want their electricity from different types of energy resources like fossil fuel or renewable solar panels. It also includes an integrated approach that allows multiple systems to work together efficiently with each other without compromising security concerns. Overall, this innovative solution improves both financial performance and environmentally friendlyness while ensuring efficient use of these resources.

Problems solved by technology

The technical problem addressed in this patented patents relates to the lack of an integrated and efficient way to manage both indoor light generated electricity (IPEC), particularly when considering the potential role played by distributed power generators (DPG). Current methods involve connecting cables between individual loads at specific locations, making connections more complicated than necessary. There may exist issues related to instabilities caused by interference signals during transmission over wireless networks, leading to reduced efficiency and increased costs associated with maintaining stable power systems.

Method used

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Embodiment

[0027] A distributed power supply and its microgrid intelligent decision-making method, comprising the following steps:

[0028] 1) Establish a database of environmental parameters and policy impact databases that affect the operation of the power grid on the microgrid central control platform;

[0029] The environmental parameter database includes a regular cycle database and an emergency database; the regular cycle database includes seasonal time periods of periodic changes, seasonal average temperature, day and night time periods, average temperature corresponding to day and night, and power corresponding to the above factors Production scheduling decision-making; the emergency event database includes extreme weather forecast information for sudden forecasts and power production scheduling decisions corresponding to the above factors; the extreme weather forecast information includes, for example: hurricanes, thunderstorms, hail, earthquakes, and solar eclipses and the duratio

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Abstract

The invention relates to an intelligent decision making method for a distributed power supply and a micro grid of the distributed power supply. The intelligent decision making method comprises the following steps of building a policy influence database and an environment parameter database influencing the micro grid operation on a micro grid center control platform; presetting the parameter threshold of micro grid safe operation and the parameter threshold of distributed power supply safe operation on the micro grid center control platform; controlling remote monitoring equipment to perform operation parameter monitoring on the micro grid and the distributed power supply in real time by the micro grid center control platform, and transmitting monitored operation parameters to the micro grid center control platform; importing environment parameter data into the micro grid center control platform in real time; performing correspondence between the environment parameter data and the environment parameter database; and then, executing capacity dispatching or technique maintenance by the micro grid center control platform according to power production dispatching decisions corresponding to different environment parameter data. The intelligent decision making method has the advantages that decision making basis is provided for three parties including power grid enterprises, micro grids and governments, and the maximization of economic benefits, social benefits and environmental protection benefits is realized.

Description

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Claims

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Application Information

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Owner STATE GRID SHANDONG ELECTRIC POWER
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