Distributed community energy transaction system and method based on adaptive consensus mechanism

A trading method and adaptive technology, applied in the field of distributed community energy trading system to achieve the effect of enhanced robustness

Active Publication Date: 2020-04-24
SICHUAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As an important part of the future smart grid, the development of micro-grid provides new ideas for developing new business models, but distributed new energy with random high penetration rate brings great challenges to the economic operation of micro-grid

Method used

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  • Distributed community energy transaction system and method based on adaptive consensus mechanism
  • Distributed community energy transaction system and method based on adaptive consensus mechanism
  • Distributed community energy transaction system and method based on adaptive consensus mechanism

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] refer to figure 1 , a distributed community energy trading method based on an adaptive consensus mechanism, including the following steps,

[0065] S1: Establish community management model, micro-grid interaction model and multiple micro-grid dynamic models, and execute S2;

[0066] S2: Obtain the initial price of community energy transactions Multiple micro-grid dynamic models are based on the initial price of community energy transactions Calculate and predict supply and demand data, execute S3;

[0067] S3: The community management model is based on the initial price of community energy transactions And the predicted supply and demand status of multiple microgrids Forecast community supply and demand data and calculate the optimal reserve capacity F for the community to participate in the power reserve market FR (k), execute S3;

[0068] S3: The community management model obtains the reserve capacity adjustment signal α(k), according to the optimal reserve ca...

Embodiment 2

[0088] In this embodiment, there are three interaction roles, community manager, external power grid and multiple micro-grid agents, and the interaction between the external power grid and multiple micro-grid agents is through the community manager.

[0089] refer to figure 1 , 2 , a distributed community energy trading system based on an adaptive consensus mechanism, including

[0090] Community governance model for trading initial prices based on community energy Calculate the supply and demand data of the community energy system, and calculate the optimal reserve capacity F for the community to participate in the power reserve market FR (k) and community energy system energy trajectory P ref，CA (k);

[0091] Multiple microgrid dynamic models, based on the initial price of community energy transactions Calculate forecast supply and demand data;

[0092] The micro-grid interaction model is used to complete the interaction between multiple micro-grids and calculate the...

Embodiment 3

[0153] Based on the system of Embodiment 2, a community energy trading system including five microgrids is established, and this embodiment performs simulation.

[0154] refer to Figure 4-10 , it can be seen that the electricity purchase and sale prices of each micro-grid tend to be consistent during the iteration, and the proposed price-based consensus mechanism algorithm can effectively reduce the imbalance between the aggregated energy flow in the community energy system and the ideal energy trajectory of the external grid during the iteration electricity.

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Abstract

The invention relates to the field of power systems and automation thereof. The invention aims to provide a distributed community energy transaction system and a method based on an adaptive consensusmechanism. The distributed community energy transaction system based on the adaptive consensus mechanism comprises a community management model which is used for calculating the supply and demand dataof a community energy system according to the community energy transaction initial price, and calculating the optimal standby capacity FFR (k) of a community participating in a power standby market and the energy tracks Pref and CA (k) of the community energy system; a plurality of microgrid dynamic models which calculate predicted supply and demand data according to the community energy transaction initial price; and a microgrid interaction model which is used for completing interaction among the plurality of microgrids, calculating consensus prices among the plurality of microgrids, and judging according to energy tracks Pref and CA (k) of the community energy system to obtain an optimal control strategy of each microgrid. The system has the advantages that community energy efficient interaction, reasonable distribution and comprehensive utilization are achieved on the basis of information exchange and an energy interaction mechanism between different micro-grids.

Description

technical field [0001] The invention relates to the field of electric power system and automation thereof, in particular to a distributed community energy trading system and method based on an adaptive consensus mechanism. Background technique [0002] With the rapid development of smart grid technology, Micro-grids (MGs), as a key technical means for friendly interaction with external power grids and users, integrate multiple links of energy production, transmission, storage, and consumption. As an important part of the future smart grid, the development of micro-grid provides new ideas for developing new business models, but distributed new energy with random high penetration rate brings great challenges to the economic operation of micro-grid . [0003] In recent years, the concept of intelligent community has emerged, as a virtual combination of interconnected microgrids, which provides a potential flexible operation space for the efficient operation of existing microgr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q30/06G06Q50/06
CPCG06Q10/04G06Q30/0601G06Q50/06Y04S10/50
Inventor 王潇笛刘友波刘俊勇
Owner SICHUAN UNIV
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