CN104715340A - Cloud computing energy management system and method based on green energy resources - Google Patents
Cloud computing energy management system and method based on green energy resources Download PDFInfo
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Abstract
The invention provides a cloud computing energy management system and method based on green energy resources. The system comprises an energy acquisition module, a node priority level setting module, a node energy supply condition setting module, a node electricity consumption predicating module, an electricity distribution processing module, a node energy supply control module and an energy storage module. The energy acquisition module, the node priority level setting module, the node energy supply condition setting module and the node energy consumption predicating module are connected with the electricity distribution processing module. The electricity distribution processing module is connected with the node power supply control module and the energy storage module. By means of the cloud computing energy management system and method, the green energy resources can be managed dynamically in real time for the instability of the green resources, the energy resources can be fully utilized reasonably, and the energy resource utilization rate is increased; meanwhile, energy consumption caused by a last-dispersion first-concentration electricity distribution mode required by a traditional power grid is lowered, and electricity waste is reduced.
Description
Technical field
The invention belongs to energy management field, be specifically related to a kind of cloud computing energy management system based on green energy resource and method.
Background technology
Green energy resource (greenenergy) also claim clean energy resource, is symbol and the synonym of environmental protection and the good ecosystem.It can be divided into narrow sense and broad sense two conception of species.The green energy resource of narrow sense refers to regenerative resource, as water energy, biological energy source, sun power, wind energy, geothermal energy and ocean energy.Can recover supplementary after these energy resource consumptions, seldom produce pollution.In the production that the green energy resource of broad sense is then included in the energy and process of consumption thereof, select ecologic environment low stain or the free of contamination energy, as rock gas, clean coal and nuclear energy etc.
Cloud computing is a beautiful network application mode.Narrow sense cloud computing refers to payment and the using forestland of IT infrastructure, refers to obtain required resource by network in the mode as required, easily expanded; Broad sense cloud computing refers to payment and the using forestland of service, refers to obtain required service by network in the mode as required, easily expanded.
Cloud computing center is to provide the workbench of above-mentioned cloud computing service, the operation of cloud computing center needs a large amount of electric energy, if adopt traditional electrical network, the electric energy due to traditional electrical network first concentrates rear dispersion, thus there is the very large defect of line loss, cause waste of energy.If employing green energy resource, due to the instability of green energy resource, make green energy resource to be incorporated to bulk power grid, also result in the waste of electric energy.
Summary of the invention
One of the object of the invention is to provide a kind of cloud computing energy management system based on green energy resource and method, and the present invention effectively can avoid the waste of electric energy.
A kind of cloud computing energy management system based on green energy resource provided by the invention, comprises energy resource collecting module, node priority does not arrange module, node energy supply condition setting module, node power consumption prediction module, power distribution processing module, node be for energy control module and energy-storage module; Energy resource collecting module, node priority do not arrange module, node energy supply condition setting module is connected power distribution processing module with node energy consumption prediction module, and power distribution processing module connected node is for energy control module and energy-storage module;
Energy resource collecting module is for gathering the generating information of green energy resource;
Node priority does not arrange module for arranging the power supply priority level to cloud computing node load;
Node energy supply condition setting module, for arranging the condition of powering to cloud computing node load, satisfies condition and powers, and does not meet and does not then power;
Node power consumption prediction module is for predicting the power information of cloud computing node load;
Power distribution processing module is used for dispensed to the powering quantity of each node of cloud computing;
The order that cloud computing node is powered that node sends for performing power distribution processing module for energy control module;
Energy-storage module is for remaining green energy resource after storage allocation.
Present invention also offers a kind of cloud computing energy management method based on green energy resource, comprise the steps:
The generating information of energy resource collecting module acquires green energy resource;
By node priority, the power supply priority level to each node load of cloud computing is not set;
By the condition that node energy supply condition setting module installation is powered to cloud computing node load;
The each node load power information of node power consumption prediction module prediction cloud computing;
Power distribution processing module carries out analytical calculation according to the power information of the power supply priority level of each node load of the cloud computing arranged, the condition of power supply and prediction, the powering quantity of point each node of pairing cloud computing.
Node supplies energy control module according to the power on command performed the powering quantity allocation result of each node of cloud computing each node of cloud computing.
Remaining green energy resource after distribution is stored in energy-storage module.
Further, in described node power consumption prediction module prediction cloud computing each node load power information step, node power consumption prediction module according to real-time its power information of power information automatic Prediction of each node load of cloud computing, also artificially can manually can arrange the power information of prediction.
Beneficial effect of the present invention is, the present invention for the instability of green energy resource, can manage green energy resource real-time dynamicly, sufficiently and reasonably can utilize the energy, improve the utilization factor of the energy; Meanwhile, decreasing the energy loss that traditional electrical network is caused because needing the distribution system of " first concentrate and disperse afterwards ", decreasing waste of energy.
Accompanying drawing explanation
Figure 1 shows that the structural representation of the cloud computing energy management system that the present invention is based on green energy resource.
Figure 2 shows that the process flow diagram of the cloud computing energy management method that the present invention is based on green energy resource.
Embodiment
Hereafter will describe the present invention in detail in conjunction with specific embodiments.It should be noted that the combination of technical characteristic or the technical characteristic described in following embodiment should not be considered to isolated, they can mutually be combined thus be reached better technique effect.
As shown in Figure 1, a kind of cloud computing energy management system based on green energy resource provided by the invention, comprises energy resource collecting module 1, node priority does not arrange module 2, node energy supply condition setting module 3, node power consumption prediction module 4, power distribution processing module 5, node be for energy control module 6 and energy-storage module 7;
Energy resource collecting module 1, node priority do not arrange module 2, node energy supply condition setting module 3 is connected power distribution processing module 5 with node energy consumption prediction module, and power distribution processing module 5 connected node is for energy control module 6 and energy-storage module 7;
Energy resource collecting module 1 is for gathering the generating information of green energy resource;
Node priority does not arrange module 2 for arranging the power supply priority level to cloud computing node load.
Node energy supply condition setting module 3, for arranging the condition of powering to cloud computing node load, satisfies condition and powers, and does not meet and does not then power;
Node power consumption prediction module 4 is for predicting the power information of cloud computing node load;
Power distribution processing module 5 is for the powering quantity of dispensed to each node of cloud computing;
The order that cloud computing node is powered that node sends for performing power distribution processing module 5 for energy control module 6;
Energy-storage module 7 is for green energy resource remaining after storage allocation.
As shown in Figure 2, a kind of cloud computing energy management method based on green energy resource provided by the invention, comprises the steps:
Step S1, energy resource collecting module 1 gathers the generating information of green energy resource.
By at the multiple sensor of generating Node configuration of green energy resource or detecting device, for obtaining generating information.Generating information comprises: the information such as output power, output voltage, output frequency.Green energy resource comprises: wind power generation, solar electrical energy generation, bioenergy power generation, hydropower or tide energy etc.
Step S2, does not arrange the power supply priority level of module 2 pairs of each node loads of cloud computing by node priority.
Node priority does not arrange module 2 and can set the priority level of cloud computing node load as required, comprising: the load of core cloud computing node is preferential, and namely the cloud computing node of core preferentially will obtain electric energy the most; The cloud computing node load being in higher load condition is preferential, the power load of namely important cloud computing node load (such as arithmetic facility etc.) is all higher, and minor cloud computing node load (such as illumination, indicating equipment etc.) then power load is just lower; And the quality of power supply is preferential, namely green energy resource provide the quality of power supply of electric energy (power, voltage, frequency) to reach or higher than cloud computing node load request time, this cloud computing node load is preferential.If time the electric energy that green energy resource provides is inadequate, then correspondingly close cloud computing node load according to priority level generation from low to high.
Step S3, arranges the condition of powering to cloud computing node load by node energy supply condition setting module 3.
Because green energy resource has the defect such as instability, uncertainty, therefore the green energy resource that node energy supply condition setting module 3 provides according to green energy resource generating node is selected.Such as, electricity consumption condition is predeterminable is: what green energy resource can be continual and steady provides the energy (more than 5 hours duration); Green energy resource can provide the minimum requirements meeting cloud computing node load, such as minimum 110V, 25HZ, 1000KW.Through the selection of node energy supply condition setting module 3, electric energy that is green energy resource is relatively stable, that determine imports cloud computing center, for cloud computing node load is healthy, stable operation provides safeguard.
Step S4, node power consumption prediction module 4 predicts its power information according to the power information that each node load of cloud computing is real-time.
Node power consumption prediction module 4 according to real-time its power information of power information automatic Prediction of each node load of cloud computing, also artificially can manually can arrange the power information of prediction.Cloud computing node load arranges multiple sensor or detecting device, for obtaining power information.Power information comprises: actual electric power, actual utilization voltage, actual electricity consumption frequency, and the information such as rated power, rated voltage, rated frequency.
Step S5, power distribution processing module 5 carries out analyzing and processing according to the power information of the generating information of green energy resource, the power supply priority level of each node load of cloud computing arranged, the condition of power supply and prediction, the powering quantity of point each node of pairing cloud computing.
During power distribution processing module 5 analyzing and processing, first put in order from high to low according to the power supply priority level of each node load of cloud computing arranged; Whether the generating information of the combining with green energy, the condition of power supply and the power information of prediction judge in order successively again, to its power supply.
Such as: the power supply priority level of each node load of the cloud computing arranged is followed successively by A node, B node, C node from high in the end.First judge whether to power to A node, if the generating information of green energy resource meets the power information of condition that A node powers and the prediction of A node, A node is powered, if do not meet, does not power.Recycle identical method successively interpretation whether B node and C node are powered.
Step S6, node supplies energy control module 6 according to the power on command performed the powering quantity allocation result of each node of cloud computing each node of cloud computing.
Step S7, is stored in remaining green energy resource after distribution in energy-storage module 7.
Residue green energy resource after distribution is stored in energy-storage module 7, in order to providing electric energy when the generating node of green energy resource cannot provide abundant electric energy for cloud computing node load, further improves the utilization factor of green energy resource.This energy-storage module 7 can pass through potential device, frequency conversion equipment etc., and the electric energy of savings is brought up to the electric energy meeting cloud computing node load electricity consumption condition, further for each node of cloud computing is normal, stable, operation efficiently provides guarantee.
Although give some embodiments of the present invention, it will be understood by those of skill in the art that without departing from the spirit of the invention herein, can change embodiment herein.Above-described embodiment is exemplary, should using embodiment herein as the restriction of interest field of the present invention.
Claims (3)
1. the cloud computing energy management system based on green energy resource, it is characterized in that, comprise energy resource collecting module, node priority does not arrange module, node energy supply condition setting module, node power consumption prediction module, power distribution processing module, node be for energy control module and energy-storage module;
Described energy resource collecting module, node priority do not arrange module, node energy supply condition setting module is connected described power distribution processing module with node energy consumption prediction module, and described power distribution processing module connects described node for energy control module and energy-storage module;
Described energy resource collecting module is for gathering the generating information of green energy resource;
Described node priority does not arrange module for arranging the power supply priority level to cloud computing node load;
Described node energy supply condition setting module, for arranging the condition of powering to cloud computing node load, satisfies condition and powers, and does not meet and does not then power;
Described node power consumption prediction module is for predicting the power information of cloud computing node load;
Described power distribution processing module is used for dispensed to the powering quantity of each node of cloud computing;
The order that cloud computing node is powered that described node sends for performing power distribution processing module for energy control module;
Described energy-storage module is for remaining green energy resource after storage allocation.
2., based on a cloud computing energy management method for green energy resource, it is characterized in that, comprise the steps:
The generating information of energy resource collecting module acquires green energy resource;
By node priority, the power supply priority level of module installation to each node load of cloud computing is not set;
By the condition that node energy supply condition setting module installation is powered to cloud computing node load;
The each node load power information of node power consumption prediction module prediction cloud computing;
Power distribution processing module carries out analytical calculation according to the power information of the power supply priority level of each node load of the cloud computing arranged, the condition of power supply and prediction, the powering quantity of point each node of pairing cloud computing;
Node supplies energy control module according to the power on command performed the powering quantity allocation result of each node of cloud computing each node of cloud computing;
Remaining green energy resource after distribution is stored in energy-storage module.
3. a kind of cloud computing energy management method based on green energy resource as claimed in claim 2, it is characterized in that, in described node power consumption prediction module prediction cloud computing each node load power information step, described node power consumption prediction module according to real-time its power information of power information automatic Prediction of each node load of cloud computing, also artificially can manually can arrange the power information of prediction.
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Application publication date: 20150617 |