CN104836247A - Optical storage micro grid system for realizing energy storage capacity dynamic optimization - Google Patents

Abstract

An embodiment of the present invention provides an optical storage micro-grid system that realizes dynamic optimization of energy storage capacity. Among them, the dynamic optimization module of energy storage capacity calculates the ratio between the emergency power reserve capacity and the smooth fluctuation capacity according to the power output data of the photovoltaic power prediction and the demand data of the load power prediction, and controls the ratio value through the DSP The module is transmitted to the energy storage battery management system. The energy storage battery management system adjusts the emergency power reserve capacity and the smooth fluctuation capacity in the energy storage battery, so that the adjusted ratio between the emergency power reserve capacity and the smooth fluctuation capacity conforms to the ratio value. The embodiment of the present invention can dynamically optimize the energy storage capacity of the optical storage micro-grid system, improve the energy storage utilization rate of the optical storage micro-grid system, and suppress the power fluctuation of the grid-connected point to the greatest extent on the premise of ensuring emergency power supply, which is helpful Improve the utilization of renewable energy and save energy and reduce losses.

Description

Optical storage microgrid system to realize dynamic optimization of energy storage capacity

technical field

The invention relates to the technical field of micro-grid systems, in particular to an optical storage micro-grid system for realizing dynamic optimization of energy storage capacity.

Background technique

In the micro-grid system, the energy storage battery is often configured to smooth the power fluctuation of the grid-connected point and improve the acceptance capacity of the grid to the micro-grid system. Part of the capacity of the energy storage battery in the optical storage microgrid system is used for emergency power supply, and the other part is used to smooth the power fluctuation of the grid connection point. However, under normal circumstances, the above-mentioned ratio of emergency power reserve capacity and smooth fluctuation capacity has been fixed at the beginning of the design, resulting in too large or too small emergency power reserve capacity, and the capacity of the entire energy storage battery is not fully utilized. less efficient.

Contents of the invention

Embodiments of the present invention provide an optical storage micro-grid system for realizing dynamic optimization of energy storage capacity, so as to realize dynamic optimization of energy storage capacity of energy storage batteries in the optical storage micro-grid system.

In order to achieve the above object, the present invention adopts the following technical solutions.

An optical storage micro-grid system for realizing dynamic optimization of energy storage capacity, comprising: energy storage battery, energy storage battery management system, forecast data acquisition module, energy storage capacity dynamic optimization module and DSP control module;

The dynamic optimization module of the energy storage capacity is used to calculate the emergency power supply reserve capacity and smooth fluctuation according to the predicted power output data of the photovoltaic power and the demand data of the load power forecast transmitted by the predicted data acquisition module by using a set algorithm The proportional value between the capacities, the proportional value is transmitted to the described DSP control module;

The DSP control module is used to connect with the energy storage capacity dynamic optimization module and the energy storage battery management system, and transmit the proportional value to the energy storage battery management system;

The energy storage battery management system is used to connect with the energy storage battery, and adjust the emergency power supply reserve capacity and the smooth fluctuation capacity in the energy storage battery, so that the adjusted ratio between the emergency power supply reserve capacity and the smooth fluctuation capacity conforms to The scale value.

Preferably, the system further includes: a photovoltaic cell panel, a photovoltaic DC/DC module, and a DC/AC power module;

The photovoltaic DC/DC module is used to connect with the photovoltaic cell panel, DSP control module, and DC/AC power module, control the current output of the photovoltaic cell panel, and adjust the DC voltage output by the photovoltaic cell panel to an intermediate DC voltage level, and transmit the adjusted DC voltage to the DC/AC power module;

The DC/AC power module is used to connect to the grid and local loads at a grid-connection point, convert the adjusted DC voltage into an AC voltage, and transmit the AC voltage to the grid and local loads;

The DSP control module is used to connect with the DC/AC power module to control the start and stop of the photovoltaic DC/DC module and DC/AC power module.

Preferably, the system further includes: an energy storage DC/DC module;

The energy storage DC/DC module is used to connect with the energy storage battery, DC/AC power module and DSP control module, receive the DC voltage output by the energy storage battery, and perform boost processing on the DC voltage , transmitting the boosted DC voltage to the DC/AC power module;

The DC/AC power module is configured to convert the boosted DC voltage into an AC voltage, and transmit the AC voltage to the power grid and local loads;

The DSP control module is used to connect with the energy storage DC/DC module to control the start and stop of the energy storage DC/DC module.

Preferably, the DSP control module is also used to monitor the SOC value of the energy storage battery through the energy storage battery management system when the energy storage battery is in a discharge state, if the SOC value is greater than the emergency backup When the minimum capacity percentage threshold of the emergency backup is reached, the energy storage battery continues to discharge; if the SOC value is equal to the minimum capacity percentage threshold of the emergency backup, the energy storage DC/DC module is controlled to stop working.

Preferably, the photovoltaic battery panel is also used to connect with the energy storage battery to charge the energy storage battery;

The DSP control module is also used to monitor the SOC value of the energy storage battery through the energy storage battery management system. If the SOC value does not reach the set threshold, the photovoltaic panel will The battery continues to be charged until the SOC value does not reach the set threshold, and the energy storage DC/DC module is controlled to stop working.

Preferably, the photovoltaic cell panel is also used to connect with the energy storage battery to charge the energy storage battery,

The DSP control module is also used to monitor the SOC value of the energy storage battery through the energy storage battery management system when charging the energy storage battery through the grid, if the SOC value does not reach the set value threshold, the grid continues to charge the energy storage battery until the SOC value does not reach the set threshold, and controls the energy storage DC/DC module to stop working.

Preferably, the setting algorithm includes an improved empirical mode decomposition algorithm.

Preferably, said photovoltaic power forecasted power output data and load power forecasted demand data include weather, latitude and longitude, sunshine intensity and/or empirical data.

Preferably, when the optical storage micro-grid system is connected to the grid, P _b +P _PV =P _L +P _grid , where P _b is the power output of the energy storage battery, PP _PV is the power output of the photovoltaic panel, and P _L is the power demand of the load, and P _grid is the power injected into the grid by the microgrid;

When the optical storage micro-grid system is off-grid, P _b +P _PV =PL _.

From the technical solutions provided by the above-mentioned embodiments of the present invention, it can be seen that the embodiments of the present invention use the energy storage capacity dynamic optimization module to control the emergency power supply backup capacity and smooth fluctuation capacity in the energy storage capacity according to the photovoltaic and load power prediction data. The ratio between them can dynamically optimize the energy storage capacity of the optical storage micro-grid system, improve the energy storage utilization rate of the optical storage micro-grid system, and suppress the power fluctuation of the grid-connected point to the greatest extent on the premise of ensuring emergency power supply, which helps To improve the utilization of renewable energy and energy saving and loss reduction.

Additional aspects and advantages of the invention will be set forth in part in the description which follows, and will become apparent from the description, or may be learned by practice of the invention.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings that need to be used in the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For Those of ordinary skill in the art can also obtain other drawings based on these drawings without any creative effort.

Fig. 1 is a schematic diagram of an energy storage capacity allocation diagram in an optical storage micro-grid system provided by an embodiment of the present invention, wherein smooth fluctuation capacity 1, dynamic emergency power supply reserve capacity 2, and minimum emergency power supply reserve capacity 3;

Figure 2 is a schematic diagram of the connection structure of an optical storage micro-grid system that realizes dynamic optimization of energy storage capacity provided by an embodiment of the present invention, in which a photovoltaic panel 4, a photovoltaic DC/DC module 5, an energy storage battery 6, and an energy storage battery Management system 7, energy storage DC/DC module 8, forecast data acquisition module 9, energy storage capacity dynamic optimization module 10, DSP (Digital Signal Process, digital signal processing) control module 11, DC/AC power module 12, energy control system 13. Local load 14, power grid 15 and grid connection point 16.

Detailed ways

Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and/or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Additionally, "connected" or "coupled" as used herein may include wirelessly connected or coupled. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.

Those skilled in the art can understand that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It should also be understood that terms such as those defined in commonly used dictionaries should be understood to have a meaning consistent with the meaning in the context of the prior art, and will not be interpreted in an idealized or overly formal sense unless defined as herein explain.

In order to facilitate the understanding of the embodiments of the present invention, several specific embodiments will be taken as examples for further explanation below in conjunction with the accompanying drawings, and each embodiment does not constitute a limitation to the embodiments of the present invention.

An embodiment of the present invention provides an optical storage micro-grid system that realizes dynamic optimization of energy storage capacity. The dynamic optimization module of energy storage capacity in the energy control system in the system controls The ratio between emergency power reserve capacity and smooth fluctuation capacity can be used to make full use of energy storage batteries. Specifically, an energy storage capacity dynamic optimization module is set in the control system of the energy storage converter. This module uses the improved EMD (EmpiricalModeDecomposition, empirical mode Decomposition) algorithm determines the ratio between the reserve capacity used for emergency power supply and the smooth fluctuating capacity in the energy storage battery.

The schematic diagram of energy storage capacity allocation in an optical storage micro-grid system provided by an embodiment of the present invention is shown in FIG. The total capacity of the energy storage system is composed of smooth fluctuation capacity 1 and emergency power reserve capacity, and the emergency power reserve capacity is composed of dynamic emergency power reserve capacity 2 and minimum emergency power reserve capacity 3. Under the premise of a certain total capacity, according to different conditions, the energy storage capacity dynamic optimization module uses the improved EMD (Empirical Mode Decomposition, Empirical Mode Decomposition) algorithm to determine the position of the dotted line in the adjustment diagram, that is, to adjust the capacity for emergency backup and smooth fluctuations capacity ratio. Under the premise of a certain total capacity, it can not only improve the utilization rate of energy, but also ensure the reliability of the optical storage micro-grid system.

A schematic diagram of the connection structure of an optical storage micro-grid system that realizes dynamic optimization of energy storage capacity provided by an embodiment of the present invention is shown in Figure 2, including: photovoltaic battery board 4, photovoltaic DC/DC module 5, energy storage battery 6, storage Energy DC/DC module 8, energy storage battery management system 7, forecast data acquisition module 9, energy storage capacity dynamic optimization module 10, DSP control module 11 and DC/AC power module 12. Among them, photovoltaic DC/DC module 5 , energy storage DC/DC module 8 , energy storage capacity dynamic optimization module 10 , DSP control module 11 and DC/AC power module 12 form an energy control system 13 .

The dynamic optimization module of the energy storage capacity is used to calculate the emergency power supply reserve capacity and smooth fluctuation according to the predicted power output data of the photovoltaic power and the demand data of the load power forecast transmitted by the predicted data acquisition module by using a set algorithm The proportional value between the capacities, the proportional value is transmitted to the described DSP control module; the described setting algorithm includes an improved empirical mode decomposition algorithm, the power output data of the photovoltaic power prediction and the load power prediction The required data for includes weather, latitude and longitude, insolation intensity, and/or empirical data.

The DSP control module is used to connect with the energy storage capacity dynamic optimization module and the energy storage battery management system, and transmit the proportional value to the energy storage battery management system; a dynamic optimization of the energy storage capacity is connected to the front end of the DSP control module. module. Using this connection method, the process of optimizing the energy storage capacity is separated, reducing the calculation amount of the DSP control module, and at the same time ensuring the correctness of the calculation of the dynamic optimization algorithm of the energy storage capacity.

The energy storage battery management system is used to connect with the energy storage battery, and adjust the emergency power supply reserve capacity and the smooth fluctuation capacity in the energy storage battery, so that the adjusted emergency power supply reserve capacity and the smooth fluctuation capacity are between The proportion of matches the stated proportion value.

Further, the photovoltaic DC/DC module is used to connect with the photovoltaic cell panel, DSP control module, and DC/AC power module, control the current output of the photovoltaic cell panel, and output the photovoltaic cell panel adjusting the DC voltage to an intermediate DC voltage level, and transmitting the adjusted DC voltage to the DC/AC power module;

The DC/AC power module is used to connect to the grid and local loads at a grid-connection point, convert the adjusted DC voltage into an AC voltage, and transmit the AC voltage to the grid and local loads;

The DSP control module is used to connect with the DC/AC power module to control the start and stop of the photovoltaic DC/DC module and DC/AC power module.

Further, the energy storage DC/DC module is used to connect with the energy storage battery, DC/AC power module and DSP control module, receive the DC voltage output by the energy storage battery, and perform Boosting processing, transmitting the DC voltage after the boosting processing to the DC/AC power module;

The DC/AC power module is configured to convert the boosted DC voltage into an AC voltage, and transmit the AC voltage to the power grid and local loads;

The DSP control module is used to connect with the energy storage DC/DC module to control the start and stop of the energy storage DC/DC module.

Further, the DSP control module is also used for when the energy storage battery alone supplies power to the local load; or the energy storage battery and the photovoltaic panel supply power to the local load at the same time, and when the energy storage battery is in a discharging state, the The battery management system monitors the SOC (State of Charge) value of the energy storage battery. If the SOC value is greater than the minimum capacity percentage threshold for emergency backup, the energy storage battery continues to discharge; if the SOC value is equal to When the minimum capacity percentage threshold of the emergency backup is reached, the energy storage DC/DC module is controlled to stop working.

Further, the photovoltaic battery panel is also used to connect with the energy storage battery to charge the energy storage battery;

The DSP control module is also used to monitor the SOC value of the energy storage battery through the energy storage battery management system. If the SOC value does not reach the set threshold, the photovoltaic panel will The battery continues to be charged until the SOC value does not reach the set threshold, and the energy storage DC/DC module is controlled to stop working. If the photovoltaic panel can still generate electricity, the electric energy generated by the photovoltaic panel is integrated into the grid through the photovoltaic DC/DC module and the DC/AC power module. When the photovoltaic panels deliver energy to the grid, the energy storage battery does not participate in the work. The DSP control module controls the working mode of the photovoltaic DC/DC module and the DC/AC power module to provide electric energy to the grid.

Further, the photovoltaic battery panel is also used to connect with the energy storage battery to charge the energy storage battery,

The DSP control module is also used to monitor the SOC value of the energy storage battery through the energy storage battery management system when charging the energy storage battery through the grid, if the SOC value does not reach the set value threshold, the grid continues to charge the energy storage battery until the SOC value does not reach the set threshold, and controls the energy storage DC/DC module to stop working.

Further, under grid-connected conditions, P _b +P _PV =P _L +P _grid , where P _b is the power output of the energy storage battery, PP _PV is the power output of the photovoltaic panel, and _PL is the power demand of the load, P _grid is the power injected into the grid by the microgrid, and it is stipulated that the microgrid enters the grid as a positive direction. Assuming that the power of the microgrid system and the grid is constant, the goal of power smoothing is met. If PPV> _PL + _Pgrid , the output of photovoltaic _power is given priority to meet the power demand of the local load and the _grid , if there is any excess, the energy storage battery will be charged; if PPV< _PL + _Pgrid , the energy storage Battery discharge to supplement the shortage of photovoltaic power generation; in both cases, it is necessary to stabilize the fluctuation of grid-connected point power, and then the energy storage capacity dynamic optimization module is required to optimize the energy storage capacity for smooth fluctuations. In the case of off-grid, P _b +P _PV =P _L , the energy storage battery smoothes the power output of the photovoltaic panel, and the dynamic optimization module of the energy storage capacity must also optimize the size of the energy storage capacity for smoothing fluctuations.

In grid-connected and off-grid situations, the energy storage capacity dynamic optimization module 10 completes the optimization of energy storage capacity according to the improved EMD (empirical mode decomposition) algorithm, and determines the ratio between emergency power reserve capacity and smooth fluctuation capacity. Considering the charging and discharging state of the energy storage battery 6, the DSP control module 11 controls the work of the photovoltaic DC/DC module 5, the energy storage DC/DC module 8, and the DC/AC power module 12 to ensure that the SOC of the energy storage battery 6 is at the minimum emergency Floating between power reserve capacity and total capacity.

In summary, the embodiment of the present invention can dynamically optimize the energy storage capacity by using the energy storage capacity dynamic optimization module to control the ratio between the emergency power supply backup capacity and the smooth fluctuation capacity in the energy storage capacity according to the photovoltaic and load power prediction data, so as to dynamically optimize the energy storage capacity. The energy storage capacity of the micro-grid system can improve the energy storage utilization rate of the optical storage micro-grid system. Under the premise of ensuring emergency power supply, the power fluctuation of the grid-connected point can be suppressed to the greatest extent, which will help to improve the utilization of renewable energy and reduce energy consumption. damage.

Those skilled in the art can understand that the accompanying drawing is only a schematic diagram of an embodiment, and the modules or processes in the accompanying drawing are not necessarily necessary for implementing the present invention.

It can be seen from the above description of the implementation manners that those skilled in the art can clearly understand that the present invention can be implemented by means of software plus a necessary general hardware platform. Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art can be embodied in the form of software products, and the computer software products can be stored in storage media, such as ROM/RAM, disk , CD, etc., including several instructions to make a computer device (which may be a personal computer, server, or network device, etc.) execute the methods described in various embodiments or some parts of the embodiments of the present invention.

Each embodiment in this specification is described in a progressive manner, the same and similar parts of each embodiment can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device or system embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and for relevant parts, refer to part of the description of the method embodiments. The device and system embodiments described above are only illustrative, and the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, It can be located in one place, or it can be distributed to multiple network elements. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. It can be understood and implemented by those skilled in the art without creative effort.

The above is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed in the present invention can easily think of changes or Replacement should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be determined by the protection scope of the claims.

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 network}the power that micro-capacitance sensor injects electrical network;

When described light storage micro-grid system is from net, P _b+ P _pV=P _l.