Multi-agent-based comprehensive energy system multi-agent joint optimization operation method

A technology of integrated energy system and joint optimization, applied in the field of multi-agent joint optimization operation of integrated energy system, can solve the problems of lack of fast interaction and processing, and unable to fully meet the requirements of high efficiency and flexibility of integrated energy system optimization operation method.

Pending Publication Date: 2021-07-16
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Application Information

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Problems solved by technology

[0004] This application provides a multi-agent-based integrated energy system multi-agent joint optimization operation method. First, build a multi-agent-based integrated energy system structure model and stakeholder model, and further build an interactive iterative negotiation strategy for multiple stakeholder agents. Finally, through the software The simulation realizes the solution of the optimization model and st

Method used

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  • Multi-agent-based comprehensive energy system multi-agent joint optimization operation method
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  • Multi-agent-based comprehensive energy system multi-agent joint optimization operation method

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Experimental program
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Example Embodiment

[0098] Example 1】

[0099] This embodiment is applied to a typical integrated energy system, and the typical integrated energy system structure is figure 1 Indicated.

[0100] A multi-agent-based integrated energy system multi-body joint optimization operation method includes the following steps:

[0101] Step 11) Establish an external energy network agent model

[0102] Step 111) Establish an external grid agent

[0103] Establish an external grid agent to enable the power price information of each time period within the dispatch cycle, and the network contact line transmission power restriction information.

[0104] External grid agent contact line power constraints As shown in the formula (7):

[0105]

[0106] In e grid·emax Maximum transmission electrical power for external grids and integrated energy systems.

[0107] Step 112) Establish an external hot network agent

[0108] Establish an external hot network agent to make it a thermal energy price information of each time...

Example Embodiment

[0210] [Example 2]

[0211] The structure of the integrated energy system of this embodiment is shown. figure 1 As shown, the internal equipment shown in the system includes: photovoltaic unit, wind turbine, thermoelectric gauge, electric boiler equipment, electrical energy storage equipment, and thermal energy storage equipment, and power interaction with external grids. The output of photovoltaic, wind turbines, and the predictive demand information of the electric heating load is shown in Figure 4, in which Figure 4A Precursted data for electric loads, Figure 4b Preview data for hot loads, Figure 4C Preview data for wind power, Figure 4D Preview data for photovoltaic priority; energy price information for external networks Figure 5 Indicated. Other main parameters are set as shown in Table 2 below:

[0212] Table 2 Main parameters of integrated energy systems

[0213]

[0214] After operation, the interactive communication process between the various agents set is as follows....

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Abstract

The invention discloses a multi-agent-based multi-agent joint optimization operation method for an integrated energy system. The method comprises the steps: constructing a structure agent model and a benefit agent model of the integrated energy system, and constructing a behavior strategy and a communication strategy which comprise data uploading, data obtaining, data storage and data processing for each agent model; a joint iterative negotiation optimization strategy of a pricing strategy, a capacity strategy, an energy storage strategy and an energy utilization strategy among an integrated energy system operation manager agent, an integrated energy system energy manufacturer agent, an integrated energy system energy storage agent and an integrated energy system multi-energy user agent is constructed; and finally, solving the multi-agent-based multi-agent joint optimization operation problem of the integrated energy system through a multi-agent analog simulation function provided by the JADE software platform. According to the method, quick interaction of optimization information among multiple interest subjects in the integrated energy system can be realized, so that distributed solution of a multi-subject joint optimization problem of the integrated energy system is effectively realized.

Description

technical field [0001] The invention relates to the field of energy system scheduling, in particular to a multi-agent-based multi-agent joint optimization operation method for an integrated energy system. Background technique [0002] With the continuous development of social economy, the demand for energy is increasing day by day. In order to alleviate the looming energy crisis and improve the comprehensive utilization efficiency of energy, the integrated energy system came into being. The integrated energy system integrates multi-energy transmission network, multi-type energy transmission, conversion and storage devices, and conducts collaborative optimization through various data acquisition devices and information processing center platforms, so as to realize multi-energy synergy and complementarity, step utilization, and effectively improve energy efficiency. Energy efficiency and energy supply flexibility. [0003] The integrated energy system includes multiple stake...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q30/02G06Q50/06
CPCG06Q10/04G06Q10/06313G06Q10/06315G06Q10/0637G06Q30/0206G06Q30/0283G06Q50/06
Inventor 孟明马辰南邓雨竹
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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