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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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  • Abstract
  • Description
  • Claims
  • 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 strategy, and then solves the lack of a distributed collaborative optimization decision-making method that can realize the rapid interaction and processing of various information flows and strategy flows in the optimization decision-making process in the prior art, which cannot fully meet the needs of actual production. The issue of efficiency and flexibility requirements for energy system optimization operation methods

Method used

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  • Multi-agent-based comprehensive energy system multi-agent joint optimization operation method
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Embodiment 1

[0099] This embodiment is applied in a typical integrated energy system, and the structure of the typical integrated energy system is as follows figure 1 shown.

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

[0101] Step 11) Build an external energy network proxy model

[0102] Step 111) Create External Grid Proxy

[0103] An external power grid agent is established to have the power price information of each time period in the dispatch cycle, as well as the transmission power limit information of the network tie line.

[0104] The power constraint of the proxy tie line of the external power grid is shown in formula (7):

[0105]

[0106] In the formula, E grid·emax It is the maximum transmission power for the connection line between the external power grid and the integrated energy system.

[0107] Step 112) Set up an external heat network agent

[0108] Establish an external...

Embodiment 2

[0211] The structure diagram of the integrated energy system in this embodiment is as follows: figure 1 As shown, the equipment in the system shown includes: photovoltaic units, wind turbines, combined heat and power units, electric boiler equipment, electric energy storage equipment, and thermal energy storage equipment, etc., and perform power interaction with the external power grid. The output information of photovoltaic and wind turbines and the forecast demand information of electric heating load are shown in Figure 4, where Figure 4a is the day-ahead forecast data of electric load, Figure 4b is the day-ahead forecast data of heat load, Figure 4c Day-ahead forecast data for wind power output, Figure 4d Day-ahead forecast data for photovoltaic output; energy price information from external networks such as Figure 5 shown. Other main parameter settings are shown in Table 2 below:

[0212] Table 2 Main parameter setting of integrated energy system

[0213]

[...

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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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