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A load-sensing-based energy self-balancing control method for multi-port energy routers

A control method and router technology, applied in AC network with energy trading/energy transmission authority, AC network load balancing, load forecasting in AC network, etc., can solve problems such as frequent faults in substations, and achieve the best action effect Effect

Active Publication Date: 2022-07-19
STATE GRID JIANGSU ECONOMIC RES INST +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing substation internal monitoring system is difficult to be directly used in new scenarios where various internal energy sources such as heat energy, gas pipelines and other integrated energy service stations are connected, and due to communication failures, frequent internal substation failures occur

Method used

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  • A load-sensing-based energy self-balancing control method for multi-port energy routers
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  • A load-sensing-based energy self-balancing control method for multi-port energy routers

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specific Embodiment

[0035] This embodiment includes the following steps for the energy distribution and balance strategy of a certain urban area in a certain city:

[0036] Step S1: Collect data on the port of the energy router, including three-phase voltage data, user current data, electrical quantities including the current phase, and physical quantities including temperature and pressure.

[0037] Step S2: constructing a hierarchical partition model based on different energy networks and different energy regions; in this embodiment, the energy network model includes a power generation side model, an energy storage battery energy model (two-way power supply model), and a load side model; also includes Cool, heat and power triple supply mode, in which the circuit is connected to one of the ports of the energy router. The formulas and specific constraints of the energy storage battery energy model, the data center station energy consumption model and the large-scale charging station model are as ...

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Abstract

The invention discloses an energy self-balancing control method for a multi-port energy router based on load sensing, which is suitable for energy self-balancing control in a comprehensive energy service station, and can apply an expert system based on three-phase voltage data and user current data before and after energy equipment changes. Obtain the action model, and obtain the electrical quantity and model system by inputting relevant data into the action model, which can ensure that even when the state of external equipment and other electrical switches cannot be known, the load change state plan can be obtained through the port prediction system, so that The action is the best.

Description

technical field [0001] The invention relates to the technical field of coordinated optimization control of comprehensive energy service stations, and more particularly, to a self-balancing control method of a multi-port energy router based on load sensing. Background technique [0002] In the traditional power grid system, the controlled objects of substations are only switches, circuit breakers and other electrical equipment. At present, traditional substations are being transformed and upgraded to comprehensive energy service stations. The existing internal monitoring system of the substation is difficult to be directly used in the new scenario where multiple internal energy sources such as thermal energy, gas pipelines and other integrated energy service stations are connected, and the internal faults of the substation occur frequently due to communication failures. Therefore, in the integrated energy service station, in the state where the hot and cold air and electricit...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/00H02J3/46H02J3/32H02J13/00
CPCH02J3/003H02J3/008H02J3/46H02J3/32H02J13/00004H02J2203/20H02J2300/24Y04S10/12Y04S20/12Y02E40/70Y02B90/20
Inventor 李妍张群李泽森诸晓骏王琼王鑫王青山曹远志梁海峰
Owner STATE GRID JIANGSU ECONOMIC RES INST