AC-DC Hybrid Microgrid Optimal Operation Method and Device Considering Source-Net-Load Interaction

A technology of AC-DC hybrid and source-grid-load interaction, applied in the field of microgrid, can solve the problems of not being able to effectively improve the power supply efficiency of the microgrid, failing to exert the schedulability of resources on the demand side, and not considering power loss, etc., to achieve a small The effects of reducing power conversion loss, minimizing operating costs, and improving environmental benefits

Active Publication Date: 2017-07-18
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +1
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, traditional methods consider reducing line loss as a part of improving economic benefits, rather than meeting the requirements of energy saving and loss reduction, and do not consider the power loss caused by multi-level energy conversion in microgrid converters
Regarding the optimal operation of demand-side microgrids, the existing methods mostly use economic means such as electricity price incentives to guide users to change the time and electricity consumption of loads, so as to achieve the purpose of peak shaving and valley filling, and reduce electricity costs. Making full use of the schedulability of resources on the demand side cannot effectively improve the power supply efficiency of the microgrid, and thus cannot meet the requirements of energy saving and loss reduction

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
  • AC-DC Hybrid Microgrid Optimal Operation Method and Device Considering Source-Net-Load Interaction
  • AC-DC Hybrid Microgrid Optimal Operation Method and Device Considering Source-Net-Load Interaction
  • AC-DC Hybrid Microgrid Optimal Operation Method and Device Considering Source-Net-Load Interaction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0058] An optimal operation method of an AC / DC hybrid microgrid considering the interaction of source, grid and load, the optimal operation method includes the following steps:

[0059] 101: Divide the AC-DC hybrid microgrid into an AC power supply area and a DC power supply area;

[0060] 102: Obtain the parameters of the demand-side load equipment, classify the load, and obtain the 24-hour load demand forecast value of the microgrid;

[0061] 103: Obtain the parameters of the converter in the AC-DC hybrid microgrid, and determine the calculation method of the power conversion loss in the converter;

[0062] 104: Use probabilistic methods to estimate the distribution curves of the maximum output and load power of photovoltaic cells and wind turbines;

[0063] 105: Use the upper layer game of the Stackelberg game model to optimize the load power supply mode and minimize the power conversion loss of the microgrid; use the lower layer game of the Stackelberg game model to optim...

Embodiment 2

[0079] Combined with the specific calculation formula, figure 1 , figure 2 The scheme in embodiment 1 is introduced in detail, see the following description for details:

[0080] The AC / DC hybrid microgrid provided by the present invention at least includes: wind power generators, micro gas turbines, photovoltaic cells, fuel cells and storage batteries, etc. The specific optimization steps are as follows:

[0081] 201: Obtain equipment parameters of wind turbines, micro gas turbines, photovoltaic cells, fuel cells and storage batteries, and 24-hour maximum power output prediction values ​​of wind turbines and photovoltaic cells;

[0082] 202: According to the AC or DC power supply and storage methods of wind turbines, micro gas turbines, photovoltaic cells, fuel cells, and storage batteries, access to AC and DC buses, and divide AC and DC hybrid microgrids into AC power supply areas (hereinafter AC area for short) and DC power supply area (hereinafter referred to as DC area...

Embodiment 3

[0138] The following combined with specific examples, image 3 , Figure 4 , Figure 5 And experimental data carry out feasibility analysis to the scheme in embodiment 1, 2, see the following description for details:

[0139] In this embodiment, the AC and DC area power supply restrictions are shown in Table 2. The ILC is rated at 200kW. The battery capacity is 150kWh, and the upper and lower limits of remaining power are 120kWh and 30kWh. The time-of-use electricity price is shown in Table 3. Wind generators, photovoltaic cells and load forecast power such as image 3 shown. The initial load connection of the AC and DC areas of the AC-DC hybrid microgrid is as follows: Figure 4 shown.

[0140] Table 2 AC and DC area power supply restrictions

[0141]

[0142] Table 3 Time-of-use electricity price

[0143]

[0144] Take the confidence level α 0 = β 0 = β AC = β DC = 0.95, according to the method proposed in the present invention, the results after the opti...

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 hybrid AC / DC microgrid optimization operation method and device considering source-grid-load interaction, and the method comprises the steps: enabling a hybrid AC / DC microgrid to be divided into an AC power supply region and a DC power supply region; obtaining a parameter of demand-side load equipment, classifying loads, and obtaining a 24-hour load demand prediction value of a microgrid; obtaining parameters of a converter in the hybrid AC / DC microgrid, and determining a calculation formula of power conversion loss of the converter; estimating the distribution curves of maximum output and load power of a photovoltaic cell and a wind driven generator through employing a probability method; and optimizing the operation of the hybrid AC / DC microgrid through a random chance constraint Stackelberg game model. The device comprises a dividing module, a first obtaining module, a second obtaining module, an estimation module, and an optimization module. The method and device improve the economic benefit environment benefit of microgrid operation, achieve the purpose of energy saving and loss reduction, and facilitate the construction of a reliable, environment-friendly and low-carbon power supply environment for economy.

Description

technical field [0001] The invention relates to the technical field of micro-grids in new energy power systems, in particular to an AC-DC hybrid micro-grid optimization operation method and device based on chaotic particle swarm optimization algorithms and game theory methods, taking into account the interaction of source, grid and load. Background technique [0002] A microgrid is a small power generation, distribution, and consumption system that combines renewable energy-based distributed power storage systems, loads, converters, and monitoring and protection devices. According to the power supply mode of the internal main network, microgrids can be divided into AC microgrids (currently the main form of microgrids), DC microgrids and AC-DC hybrid microgrids. The AC-DC hybrid microgrid contains both the AC bus and the DC bus, which can effectively integrate the advantages of the AC microgrid and the DC microgrid. With the goal of building an energy-saving society, how to ...

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): H02J3/00H02J3/28H02J3/46G06F19/00G06Q50/06
CPCY02E10/56Y02E40/70Y02E70/30Y04S10/50
Inventor 李鹏徐多赵波闫书畅周金辉
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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