CN104836247A - Optical storage micro grid system for realizing energy storage capacity dynamic optimization - Google Patents
Optical storage micro grid system for realizing energy storage capacity dynamic optimization Download PDFInfo
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Abstract
The embodiment of the invention provides an optical storage micro grid system for realizing energy storage capacity dynamic optimization. According to the power output data of photovoltaic power predication and the requirement data of load power predication, a set algorithm is employed by an energy storage capacity dynamic optimization module to calculate the proportional value between emergency power backup capacity and smooth fluctuation capacity, and the proportional value is transmitted to an energy storage battery management system through a DSP control module. The energy storage battery management system adjusts the emergency power reserve capacity and smooth fluctuation capacity in an energy storage battery, and thus the proportion between emergency power backup capacity and the smooth fluctuation capacity is in accordance with the proportional value after the adjustment. According to the embodiment of the invention, the energy storage capacity of the optical storage micro grid system can be dynamically optimized, the energy storage utilization rate of the optical storage micro grid system can be raised, under the premise of ensuring emergency power supply, the power fluctuation of a grid-connected point is inhibited to the maximum, and the utilization of renewable energy, energy saving and loss reduction are facilitated.
Description
Technical field
The present invention relates to micro-grid system technical field, particularly relate to a kind of light storage micro-grid system realizing stored energy capacitance dynamic optimization.
Background technology
Often through the level and smooth also site power fluctuation of configuration energy-storage battery in micro-grid system, improve electrical network to the receiving ability of micro-grid system.In light storage micro-grid system, a part of capacity of energy-storage battery is used as the capacity of emergency service, and another part capacity is used for the power fluctuation of level and smooth also site.But the ratio of above-mentioned emergency service reserve capacity and flat volatility capacity just immobilizes at the beginning of design under normal circumstances, and cause emergency service reserve capacity bigger than normal or less than normal, the capacity of whole energy-storage battery is not fully utilized, and whole efficiency is lower.
Summary of the invention
The embodiment provides a kind of light storage micro-grid system realizing stored energy capacitance dynamic optimization, to realize carrying out dynamic optimization to the stored energy capacitance of the energy-storage battery in light storage micro-grid system.
To achieve these goals, this invention takes following technical scheme.
Realize a light storage micro-grid system for stored energy capacitance dynamic optimization, comprising: energy-storage battery, energy storage battery management system, prediction data acquisition module, stored energy capacitance dynamic optimization module and DSP control module;
Described stored energy capacitance dynamic optimization module, the demand data of the power stage data predicted for the photovoltaic power transmitted according to described prediction data acquisition module and load power prediction, employing set algorithm calculates the ratio value between emergency service reserve capacity and flat volatility capacity, and described ratio value is transferred to described DSP control module;
Described DSP control module, for being connected with stored energy capacitance dynamic optimization module, energy storage battery management system, is transferred to energy storage battery management system by described ratio value;
Energy storage battery management system, for being connected with energy-storage battery, adjusts the emergency service reserve capacity in described energy-storage battery and flat volatility capacity, makes the ratio between the emergency service reserve capacity after adjustment and flat volatility capacity meet described ratio value.
Preferably, described system also comprises: photovoltaic battery panel, photovoltaic DC/DC module, DC/AC power model;
Described photovoltaic DC/DC module, for being connected with described photovoltaic battery panel, DSP control module, DC/AC power model, the electric current controlling described photovoltaic battery panel exports, the direct voltage that described photovoltaic battery panel exports is adjusted to middle dc voltage grade, the direct voltage after adjustment is transferred to described DC/AC power model;
Described DC/AC power model, for electrical network, local load and site place be connected, the direct voltage after described adjustment is converted to alternating voltage, by described AC voltages transmission give described electrical network, local load;
Described DSP control module, for being connected with described DC/AC power model, controls described photovoltaic DC/DC module, the startup of DC/AC power model and stopping.
Preferably, described system also comprises: energy storage DC/DC module;
Described energy storage DC/DC module, for being connected with DSP control module with described energy-storage battery, DC/AC power model, receive the direct voltage that described energy-storage battery exports, boosting process is carried out to described direct voltage, the direct voltage after boosting process is transferred to described DC/AC power model;
Described DC/AC power model, for the direct voltage after described boosting process is converted to alternating voltage, gives described electrical network, local load by described AC voltages transmission;
Described DSP control module, for described energy storage DC/DC model calling, control startup and the stopping of described energy storage DC/DC module.
Preferably, described DSP control module, also for when described energy-storage battery is in discharge condition, monitors the SOC value of described energy-storage battery by described energy storage battery management system, if when described SOC value is greater than the lowest capacity percentage threshold of emergency use, described energy-storage battery continues electric discharge; If when described SOC value equals the lowest capacity percentage threshold of emergency use, then control described energy storage DC/DC module from service.
Preferably, described photovoltaic battery panel, also for being connected with described energy-storage battery, charges to described energy-storage battery;
Described DSP control module, also for being monitored the SOC value of described energy-storage battery by described energy storage battery management system, if described SOC value does not reach setting threshold, then described photovoltaic battery panel continues charging to described energy-storage battery, until described SOC value does not reach setting threshold, control energy storage DC/DC module from service.
Preferably, described photovoltaic battery panel, also for being connected with described energy-storage battery, charges to described energy-storage battery,
Described DSP control module, also for when being given described energy-storage battery punching electricity by electrical network, the SOC value of described energy-storage battery is monitored by described energy storage battery management system, if described SOC value does not reach setting threshold, then described electrical network continues charging to described energy-storage battery, until described SOC value does not reach setting threshold, control energy storage DC/DC module from service.
Preferably, described set algorithm comprises the empirical mode decomposition algorithm of improvement.
Preferably, the power stage data of described photovoltaic power prediction and the demand data of load power prediction comprise weather, longitude and latitude, intensity of sunshine and/or empirical data.
Preferably, when described light storage micro-grid system is grid-connected, P
b+ P
pV=P
l+ P
electrical network, wherein P
bthe power stage of energy-storage battery, P
pVthe power stage of photovoltaic battery panel, P
lthe power demand of load, P
electrical networkthe power that micro-capacitance sensor injects electrical network;
When described light storage micro-grid system is from net, P
b+ P
pV=P
l.
The technical scheme provided as can be seen from the embodiment of the invention described above, the embodiment of the present invention is by utilizing stored energy capacitance dynamic optimization module according to photovoltaic and bearing power prediction data, control the ratio be used as in stored energy capacitance between emergency service reserve capacity and flat volatility capacity, can dynamic optimization light storage micro-grid system stored energy capacitance, improve the energy storage utilance of light storage micro-grid system, under the prerequisite ensureing emergency service, suppress to greatest extent and the power fluctuation of site, contribute to the utilization and the saving energy and decreasing loss that improve regenerative resource.
The aspect that the present invention adds and advantage will part provide in the following description, and these will become obvious from the following description, or be recognized by practice of the present invention.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme of the embodiment of the present invention, below the accompanying drawing used required in describing embodiment is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
The distribution diagram schematic diagram of stored energy capacitance in a kind of light storage micro-grid system that Fig. 1 provides for the embodiment of the present invention, wherein, flat volatility capacity 1, dynamic emergency service reserve capacity 2, minimum emergency service reserve capacity 3;
A kind of syndeton schematic diagram realizing the light storage micro-grid system of stored energy capacitance dynamic optimization that Fig. 2 provides for the embodiment of the present invention, wherein, photovoltaic battery panel 4, photovoltaic DC/DC module 5, energy-storage battery 6, energy storage battery management system 7, energy storage DC/DC module 8, prediction data acquisition module 9, stored energy capacitance dynamic optimization module 10, DSP (Digital Signal Process, Digital Signal Processing) control module 11, DC/AC power model 12, energy management system 13, local load 14, electrical network 15 and and site 16.
Embodiment
Be described below in detail embodiments of the present invention, the example of described execution mode is shown in the drawings, and wherein same or similar label represents same or similar element or has element that is identical or similar functions from start to finish.Being exemplary below by the execution mode be described with reference to the drawings, only for explaining the present invention, and can not limitation of the present invention being interpreted as.
Those skilled in the art of the present technique are appreciated that unless expressly stated, and singulative used herein " ", " one ", " described " and " being somebody's turn to do " also can comprise plural form.Should be further understood that, the wording used in specification of the present invention " comprises " and refers to there is described feature, integer, step, operation, element and/or assembly, but does not get rid of and exist or add other features one or more, integer, step, operation, element, assembly and/or their group.Should be appreciated that, when we claim element to be " connected " or " coupling " to another element time, it can be directly connected or coupled to other elements, or also can there is intermediary element.In addition, " connection " used herein or " coupling " can comprise wireless connections or couple.Wording "and/or" used herein comprises one or more arbitrary unit listing item be associated and all combinations.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, and all terms used herein (comprising technical term and scientific terminology) have the meaning identical with the general understanding of the those of ordinary skill in field belonging to the present invention.Should also be understood that those terms defined in such as general dictionary should be understood to have the meaning consistent with the meaning in the context of prior art, unless and define as here, can not explain by idealized or too formal implication.
For ease of the understanding to the embodiment of the present invention, be further explained explanation below in conjunction with accompanying drawing for several specific embodiment, and each embodiment does not form the restriction to the embodiment of the present invention.
Embodiments provide a kind of light storage micro-grid system realizing stored energy capacitance dynamic optimization, stored energy capacitance dynamic optimization module in energy management system in this system is according to photovoltaic and bearing power prediction data, control the ratio be used as in stored energy capacitance between emergency service reserve capacity and flat volatility capacity, utilize energy-storage battery more fully.Specifically, a stored energy capacitance dynamic optimization module is set exactly in the control system of energy accumulation current converter, the demand of the power stage that this module is predicted according to photovoltaic power and load power prediction, adopt in EMD (EmpiricalModeDecomposition, empirical mode decomposition) the algorithm determination energy-storage battery improved the ratio be used as between emergency service reserve capacity and flat volatility capacity.
In a kind of light storage micro-grid system that the embodiment of the present invention provides, the distribution diagram schematic diagram of stored energy capacitance is as shown in Figure 1, wherein, and flat volatility capacity 1, dynamic emergency service reserve capacity 2, minimum emergency service reserve capacity 3.The total capacity of energy-storage system is made up of flat volatility capacity 1 and emergency service reserve capacity, and wherein emergency service reserve capacity is made up of dynamic emergency service reserve capacity 2 and minimum emergency service reserve capacity 3 again.Under the prerequisite that total capacity is certain, according to different condition, stored energy capacitance dynamic optimization module adopts the EMD (empirical mode decomposition improved, EmpiricalModeDecomposition) algorithm determines the position of dotted line in adjustment figure, and namely adjustment is used for the capacity of emergency use and the capacity ratio of flat volatility.Under the prerequisite that total capacity is certain, high-octane utilance can be put forward, also can guarantee the reliability of light storage micro-grid system.
A kind of light realizing stored energy capacitance dynamic optimization that the embodiment of the present invention provides stores up the syndeton schematic diagram of micro-grid system as shown in Figure 2, comprise: photovoltaic battery panel 4, photovoltaic DC/DC module 5, energy-storage battery 6, energy storage DC/DC module 8, energy storage battery management system 7, prediction data acquisition module 9, stored energy capacitance dynamic optimization module 10, DSP control module 11 and DC/AC power model 12.Wherein, photovoltaic DC/DC module 5, energy storage DC/DC module 8, stored energy capacitance dynamic optimization module 10, DSP control module 11 and DC/AC power model 12 form energy management system 13.
Described stored energy capacitance dynamic optimization module, the demand data of the power stage data predicted for the photovoltaic power transmitted according to described prediction data acquisition module and load power prediction, employing set algorithm calculates the ratio value between emergency service reserve capacity and flat volatility capacity, and described ratio value is transferred to described DSP control module; Described set algorithm comprises the empirical mode decomposition algorithm of improvement, and the power stage data of described photovoltaic power prediction and the demand data of load power prediction comprise weather, longitude and latitude, intensity of sunshine and/or empirical data.
Described DSP control module, for being connected with stored energy capacitance dynamic optimization module, energy storage battery management system, is transferred to energy storage battery management system by described ratio value; A stored energy capacitance dynamic optimization module is connected in the front end of DSP control module.Adopt this connection, the process of stored energy capacitance optimization is separated, reduce the operand of DSP control module, ensure the correctness of stored energy capacitance dynamic optimization algorithm computing simultaneously.
Described energy storage battery management system, for being connected with energy-storage battery, emergency service reserve capacity in described energy-storage battery and flat volatility capacity are adjusted, makes the ratio between the emergency service reserve capacity after adjustment and flat volatility capacity meet described ratio value.
Further, described photovoltaic DC/DC module, for being connected with described photovoltaic battery panel, DSP control module, DC/AC power model, the electric current controlling described photovoltaic battery panel exports, the direct voltage that described photovoltaic battery panel exports is adjusted to middle dc voltage grade, the direct voltage after adjustment is transferred to described DC/AC power model;
Described DC/AC power model, for electrical network, local load and site place be connected, the direct voltage after described adjustment is converted to alternating voltage, by described AC voltages transmission give described electrical network, local load;
Described DSP control module, for being connected with described DC/AC power model, controls described photovoltaic DC/DC module, the startup of DC/AC power model and stopping.
Further, described energy storage DC/DC module, for being connected with DSP control module with described energy-storage battery, DC/AC power model, receive the direct voltage that described energy-storage battery exports, boosting process is carried out to described direct voltage, the direct voltage after boosting process is transferred to described DC/AC power model;
Described DC/AC power model, for the direct voltage after described boosting process is converted to alternating voltage, gives described electrical network, local load by described AC voltages transmission;
Described DSP control module, for described energy storage DC/DC model calling, control startup and the stopping of described energy storage DC/DC module.
Further, described DSP control module, also for powering to separately local load when energy-storage battery; Or energy-storage battery and photovoltaic battery panel power to local load simultaneously, when energy-storage battery is in discharge condition, SOC (the State ofCharge of described energy-storage battery is monitored by described energy storage battery management system, state-of-charge) value, if when described SOC value is greater than the lowest capacity percentage threshold of emergency use, described energy-storage battery continues electric discharge; If when described SOC value equals the lowest capacity percentage threshold of emergency use, then control described energy storage DC/DC module from service.
Further, described photovoltaic battery panel, also for being connected with described energy-storage battery, charges to described energy-storage battery;
Described DSP control module, also for being monitored the SOC value of described energy-storage battery by described energy storage battery management system, if described SOC value does not reach setting threshold, then described photovoltaic battery panel continues charging to described energy-storage battery, until described SOC value does not reach setting threshold, control energy storage DC/DC module from service.If photovoltaic battery panel can also generate electricity, photovoltaic battery panel electricity can be connected to the grid through photovoltaic DC/DC module and DC/AC power model.When photovoltaic battery panel is to electrical network conveying capacity, energy-storage battery does not participate in work.DSP control module controls the mode of operation of photovoltaic DC/DC module and DC/AC power model, provides electric energy to electrical network.
Further, described photovoltaic battery panel, also for being connected with described energy-storage battery, charges to described energy-storage battery,
Described DSP control module, also for when being given described energy-storage battery punching electricity by electrical network, the SOC value of described energy-storage battery is monitored by described energy storage battery management system, if described SOC value does not reach setting threshold, then described electrical network continues charging to described energy-storage battery, until described SOC value does not reach setting threshold, control energy storage DC/DC module from service.
Further, under grid-connected conditions, P
b+ P
pV=P
l+ P
electrical network, wherein P
bthe power stage of energy-storage battery, P
pVthe power stage of photovoltaic battery panel, P
lthe power demand of load, P
electrical networkbe the power that micro-capacitance sensor injects electrical network, it is positive direction that regulation micro-capacitance sensor enters electrical network.Assuming that the power invariability of micro-grid system and electrical network, meet the target of power smooth.If P
pV>P
l+ P
electrical network, the output of the power of photovoltaic preferentially meets the power demand of local load and electrical network, if unnecessary in addition, then and energy-storage battery charging; If P
pV<P
l+ P
electrical network, then discharged by energy-storage battery, carry out the deficiency of supplementary photovoltaic generation; In two kinds of situations, all need to stabilize and the fluctuation of site power, and then need stored energy capacitance dynamic optimization module to be optimized stored energy capacitance size for flat volatility.From in net situation, P
b+ P
pV=P
l, the power stage of energy-storage battery then level and smooth photovoltaic battery panel, stored energy capacitance dynamic optimization module also must optimize the stored energy capacitance size for flat volatility.
Grid-connected and from net situation, stored energy capacitance dynamic optimization module 10 completes the optimization of stored energy capacitance according to EMD (empirical mode decomposition) algorithm improved, and determines the ratio between emergency service reserve capacity and flat volatility capacity.Consider the charging and discharging state of energy-storage battery 6, DSP control module 11 controls the work of photovoltaic DC/DC module 5, energy storage DC/DC module 8, DC/AC power model 12, ensures that the SOC of energy-storage battery 6 floats between minimum emergency service reserve capacity and total capacity.
In sum, the embodiment of the present invention is by utilizing stored energy capacitance dynamic optimization module according to photovoltaic and bearing power prediction data, control the ratio be used as in stored energy capacitance between emergency service reserve capacity and flat volatility capacity, can dynamic optimization light storage micro-grid system stored energy capacitance, improve the energy storage utilance of light storage micro-grid system, under the prerequisite ensureing emergency service, suppress to greatest extent and the power fluctuation of site, contribute to the utilization and the saving energy and decreasing loss that improve regenerative resource.
One of ordinary skill in the art will appreciate that: accompanying drawing is the schematic diagram of an embodiment, the module in accompanying drawing or flow process might not be that enforcement the present invention is necessary.
As seen through the above description of the embodiments, those skilled in the art can be well understood to the mode that the present invention can add required general hardware platform by software and realizes.Based on such understanding, technical scheme of the present invention can embody with the form of software product the part that prior art contributes in essence in other words, this computer software product can be stored in storage medium, as ROM/RAM, magnetic disc, CD etc., comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) perform the method described in some part of each embodiment of the present invention or embodiment.
Each embodiment in this specification all adopts the mode of going forward one by one to describe, between each embodiment identical similar part mutually see, what each embodiment stressed is the difference with other embodiments.Especially, for device or system embodiment, because it is substantially similar to embodiment of the method, so describe fairly simple, relevant part illustrates see the part of embodiment of the method.Apparatus and system embodiment described above is only schematic, the wherein said unit illustrated as separating component or can may not be and physically separates, parts as unit display can be or may not be physical location, namely can be positioned at a place, or also can be distributed in multiple network element.Some or all of module wherein can be selected according to the actual needs to realize the object of the present embodiment scheme.Those of ordinary skill in the art, when not paying creative work, are namely appreciated that and implement.
The above; be only the present invention's preferably embodiment, but protection scope of the present invention is not limited thereto, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; the change that can expect easily or replacement, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of claim.
Claims (9)
1. realize a light storage micro-grid system for stored energy capacitance dynamic optimization, it is characterized in that, comprising: energy-storage battery, energy storage battery management system, prediction data acquisition module, stored energy capacitance dynamic optimization module and DSP control module;
Described stored energy capacitance dynamic optimization module, the demand data of the power stage data predicted for the photovoltaic power transmitted according to described prediction data acquisition module and load power prediction, employing set algorithm calculates the ratio value between emergency service reserve capacity and flat volatility capacity, and described ratio value is transferred to described DSP control module;
Described DSP control module, for being connected with stored energy capacitance dynamic optimization module, energy storage battery management system, is transferred to energy storage battery management system by described ratio value;
Energy storage battery management system, for being connected with energy-storage battery, adjusts the emergency service reserve capacity in described energy-storage battery and flat volatility capacity, makes the ratio between the emergency service reserve capacity after adjustment and flat volatility capacity meet described ratio value.
2. the light storage micro-grid system realizing stored energy capacitance dynamic optimization according to claim 1, it is characterized in that, described system also comprises: photovoltaic battery panel, photovoltaic DC/DC module, DC/AC power model;
Described photovoltaic DC/DC module, for being connected with described photovoltaic battery panel, DSP control module, DC/AC power model, the electric current controlling described photovoltaic battery panel exports, the direct voltage that described photovoltaic battery panel exports is adjusted to middle dc voltage grade, the direct voltage after adjustment is transferred to described DC/AC power model;
Described DC/AC power model, for electrical network, local load and site place be connected, the direct voltage after described adjustment is converted to alternating voltage, by described AC voltages transmission give described electrical network, local load;
Described DSP control module, for being connected with described DC/AC power model, controls described photovoltaic DC/DC module, the startup of DC/AC power model and stopping.
3. the light storage micro-grid system realizing stored energy capacitance dynamic optimization according to claim 1, it is characterized in that, described system also comprises: energy storage DC/DC module;
Described energy storage DC/DC module, for being connected with DSP control module with described energy-storage battery, DC/AC power model, receive the direct voltage that described energy-storage battery exports, boosting process is carried out to described direct voltage, the direct voltage after boosting process is transferred to described DC/AC power model;
Described DC/AC power model, for the direct voltage after described boosting process is converted to alternating voltage, gives described electrical network, local load by described AC voltages transmission;
Described DSP control module, for described energy storage DC/DC model calling, control startup and the stopping of described energy storage DC/DC module.
4. the light storage micro-grid system realizing stored energy capacitance dynamic optimization according to claim 3, is characterized in that:
Described DSP control module, also for when described energy-storage battery is in discharge condition, monitored the SOC value of described energy-storage battery by described energy storage battery management system, if when described SOC value is greater than the lowest capacity percentage threshold of emergency use, described energy-storage battery continues electric discharge; If when described SOC value equals the lowest capacity percentage threshold of emergency use, then control described energy storage DC/DC module from service.
5. the light storage micro-grid system realizing stored energy capacitance dynamic optimization according to claim 1, is characterized in that:
Described photovoltaic battery panel, also for being connected with described energy-storage battery, charges to described energy-storage battery;
Described DSP control module, also for being monitored the SOC value of described energy-storage battery by described energy storage battery management system, if described SOC value does not reach setting threshold, then described photovoltaic battery panel continues charging to described energy-storage battery, until described SOC value does not reach setting threshold, control energy storage DC/DC module from service.
6. the light storage micro-grid system realizing stored energy capacitance dynamic optimization according to claim 1, is characterized in that:
Described photovoltaic battery panel, also for being connected with described energy-storage battery, charges to described energy-storage battery,
Described DSP control module, also for when being given described energy-storage battery punching electricity by electrical network, the SOC value of described energy-storage battery is monitored by described energy storage battery management system, if described SOC value does not reach setting threshold, then described electrical network continues charging to described energy-storage battery, until described SOC value does not reach setting threshold, control energy storage DC/DC module from service.
7. the light storage micro-grid system realizing stored energy capacitance dynamic optimization according to claim 1, it is characterized in that, described set algorithm comprises the empirical mode decomposition algorithm of improvement.
8. the light storage micro-grid system realizing stored energy capacitance dynamic optimization according to claim 1, it is characterized in that, the power stage data of described photovoltaic power prediction and the demand data of load power prediction comprise weather, longitude and latitude, intensity of sunshine and/or empirical data.
9. the light storage micro-grid system realizing stored energy capacitance dynamic optimization according to any one of claim 1 to 8, is characterized in that:
When described light storage micro-grid system is grid-connected, P
b+ P
pV=P
l+ P
electrical network, wherein P
bthe power stage of energy-storage battery, P
pVthe power stage of photovoltaic battery panel, P
lthe power demand of load, P
electrical networkthe power that micro-capacitance sensor injects electrical network;
When described light storage micro-grid system is from net, P
b+ P
pV=P
l.
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| CN105404176A (en) * | 2015-12-10 | 2016-03-16 | 华北电力大学 | Distributed energy multi-mode control system based on assemblies and control method thereof |
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| CN109586384B (en) * | 2018-06-29 | 2022-03-04 | 广东电网有限责任公司 | Optimal adjustment method and device for high renewable energy permeation in power grid |
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