Price guidance-based coordinated autonomous optimization operation method for a multi-microgrid system

A technology of optimized operation and multi-microgrid, applied in the field of electrical information, can solve problems such as difficult to apply to multi-stakeholders, difficult decision-making, and long decision-making time

Active Publication Date: 2019-09-20
国网山东省电力公司聊城供电公司 +2
View PDF4 Cites 4 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 aut

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
  • Price guidance-based coordinated autonomous optimization operation method for a multi-microgrid system
  • Price guidance-based coordinated autonomous optimization operation method for a multi-microgrid system
  • Price guidance-based coordinated autonomous optimization operation method for a multi-microgrid system

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. Figure 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 ...

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 price guidance-based coordinated autonomous optimization operation method for a multi-microgrid system. The method comprises the following steps of establishing a double-layer decision-making system comprising an intermediate agent and each microgrid autonomous agent based on a multi-agent technology; each microgrid autonomous agent (MGA) obtaining each microgrid data, formulating a microgrid optimal scheduling plan according to the electricity price information, and then transmitting the surplus/deficiency information to the intermediate agent MA; the MA formulating an electric energy transaction price mechanism in the MMG system according to the surplus and deficiency information of each microgrid and the supply-demand relationship; and each microgrid autonomous agent (MGA) and the intermediate agent (MA) carrying out multi-time price interaction feedback until an equilibrium solution set is generated, and each microgrid autonomous agent (MGA) issuing a final optimization scheduling plan to each microgrid energy management system for execution. According to the present invention, the optimized operation of each microgrid is guided through price, and on the basis of ensuring benefits and privacy of each microgrid, the on-site consumption capacity of clean energy and the economic and environment-friendly operation performance of the system can be improved.

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
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 Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products