Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Coordinated Autonomous Optimal Operation Method of Multi-microgrid System Based on Price Guidance

A technology for optimizing operation and multiple micro-grids, applied in the field of electrical information, it can solve problems such as long decision-making time, difficult decision-making, and difficulty in applying multi-stakeholders, so as to reduce the impact, optimize the energy supply structure, and improve the local consumption capacity. Effect

Active Publication Date: 2021-11-02
国网山东省电力公司聊城供电公司 +2
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the technical problems of the above-mentioned prior art, such as high decision-making difficulty, long decision-making time, and difficulty in applying multi-stakeholder participation, the present invention provides a price-guided multi-microgrid system coordinated autonomous optimization operation method; the present invention Treat the microgrid as an independent stakeholder, adopt the method of price guidance, and realize the coordination and sharing of clean and economical energy in the MMG system through the coordination of interests between microgrids

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Coordinated Autonomous Optimal Operation Method of Multi-microgrid System Based on Price Guidance
  • A Coordinated Autonomous Optimal Operation Method of Multi-microgrid System Based on Price Guidance
  • A Coordinated Autonomous Optimal Operation Method of Multi-microgrid System Based on Price Guidance

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] This embodiment proposes a price-guided multi-microgrid system coordinated autonomous optimization operation method, which is used to optimize the energy supply structure of each microgrid and the operating performance of the system such as economical and environmental protection.

[0061] The main principles of this method are as follows: First, based on multi-agent technology, a two-layer decision-making system including intermediate agents and autonomous agents of each microgrid is built. Secondly, each microgrid autonomous agent MGA, as the lower-level autonomous unit, obtains the data of each microgrid, and formulates a microgrid optimization scheduling plan according to the electricity price information (in this embodiment, the optimization scheduling plan starts from the autonomous optimization operation of the microgrid, and is based on economic A mixed integer linear programming model for optimal scheduling of microgrid including photovoltaics, wind turbines, mi...

Embodiment 2

[0121] This embodiment adopts a price-guided multi-microgrid system coordination autonomous optimization operation method proposed in the above-mentioned embodiment 1, for example figure 1 The structure shown is simulated and analyzed.

[0122] Each microgrid is equipped with one WT, one PV, one BT, one MT and one FC. MG1 is set as a residential microgrid, MG2 is a commercial microgrid, and MG3 is an industrial microgrid. Both WT and PV are set to operate in the maximum power tracking mode. Image 6 Indicated. The parameter configuration of each microgrid is shown in Table 1, and the electricity price set by the grid company is a time-of-use electricity price, which is shown in Table 2. MG1 natural gas price is 2.28 yuan / m3, MG2 and MG3 are both 3.25 yuan / m3; MT power generation efficiency is 30%, FC power generation efficiency is 40%, gas low calorific value is 9.7kWh / m3; battery charge and discharge management costs are 0.4 , 0.6 yuan / (kWh). Each power value in Table 1 i...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a multi-microgrid system coordination autonomous optimization operation method based on price guidance. The method includes: building a two-layer decision-making system including an intermediate agent and each microgrid autonomous agent based on multi-agent technology; each microgrid autonomous agent MGA obtains the data of each microgrid, formulates the microgrid optimization scheduling plan according to the electricity price information, and then transmits the surplus / deficiency information to the intermediate agent MA; MA formulates the internal power of the MMG system according to the supply and demand relationship based on the surplus and shortage information of each microgrid Transaction price mechanism: Each micro-grid autonomous agent MGA and the intermediate agent MA conduct multiple volume-price interaction feedbacks until the equilibrium solution set is generated, and each micro-grid autonomous agent MGA sends the final optimized scheduling plan to each micro-grid energy management system for execution. The present invention guides the optimized operation of each micro-grid through the price, and can improve the on-site consumption capacity of clean energy and the economic and environmental protection performance of the system on the basis of ensuring the interests and privacy of each micro-grid.

Description

technical field [0001] The invention relates to the field of electrical information technology, in particular to a price-guided multi-microgrid system coordination autonomous optimization operation method. Background technique [0002] As a comprehensive management and control unit for the integrated operation of "source-network-load-storage", the microgrid can not only effectively carry out self-consumption of distributed resources in a local area, but also interact with the power grid when it is connected to the grid, and has a flexible operation mode. As well as the characteristics of high reliability, it has been widely concerned and vigorously developed. With the formation of a large number of microgrids, geographically adjacent microgrids can be interconnected to form a multi-microgrid system. The coordination and complementarity between microgrids can enhance the reliability and stability of each other's operation and improve the local consumption of distributed resou...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06315G06Q50/06
Inventor 刘奇周海全王华玺雷霞何浩史吏白杨黄国强武乃虎赵冠闫敏窦金妍
Owner 国网山东省电力公司聊城供电公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com