CN108988342A - A kind of real-time energy source optimization device - Google Patents
A kind of real-time energy source optimization device Download PDFInfo
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- CN108988342A CN108988342A CN201810585925.5A CN201810585925A CN108988342A CN 108988342 A CN108988342 A CN 108988342A CN 201810585925 A CN201810585925 A CN 201810585925A CN 108988342 A CN108988342 A CN 108988342A
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- 238000005457 optimization Methods 0.000 title claims abstract description 26
- 238000004146 energy storage Methods 0.000 claims abstract description 49
- 238000012545 processing Methods 0.000 claims abstract description 22
- 238000010521 absorption reaction Methods 0.000 claims abstract description 19
- 230000005611 electricity Effects 0.000 claims abstract description 10
- 238000013500 data storage Methods 0.000 claims abstract description 4
- 239000003990 capacitor Substances 0.000 claims description 40
- 238000004804 winding Methods 0.000 claims description 25
- 230000001052 transient effect Effects 0.000 claims description 14
- 230000001629 suppression Effects 0.000 claims description 10
- 230000006872 improvement Effects 0.000 claims description 9
- 230000002457 bidirectional effect Effects 0.000 claims description 8
- 230000001419 dependent effect Effects 0.000 claims description 4
- 238000012423 maintenance Methods 0.000 claims description 4
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- 238000012986 modification Methods 0.000 description 4
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- 230000008569 process Effects 0.000 description 4
- 230000000694 effects Effects 0.000 description 2
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- 239000003985 ceramic capacitor Substances 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
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- 238000001514 detection method Methods 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/01—Arrangements for reducing harmonics or ripples
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/18—Arrangements for adjusting, eliminating or compensating reactive power in networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
- H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
- H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
- H02J2310/62—The condition being non-electrical, e.g. temperature
- H02J2310/64—The condition being economic, e.g. tariff based load management
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/40—Arrangements for reducing harmonics
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention discloses a kind of real-time energy source optimization devices, are applied to power grid.The real-time energy source optimization device includes: to obtain module, processing module, harmonic absorption module and power factor to improve module.Wherein, module is obtained for obtaining electrical network parameter；Wherein, the electrical network parameter includes consumer's power load, single-machine capacity, consumer's electricity consumption data and energy storage component parameter；Processing module is for optimizing grid power according to the electrical network parameter；Harmonic absorption module is used to carry out harmonic absorption processing to by the processor treated signal；Power factor improves module and harmonic absorption wired in parallel, and the power factor for improving power grid.The invention is characterized in that above-mentioned technical proposal, is not only optimized electrical network parameter, the harmonic wave in power grid is also eliminated, to realize real-time energy source optimization.
Description
Technical Field
The embodiment of the invention relates to the technical field of energy optimization, in particular to a real-time energy optimization device.
Background
Only the sine wave of the fundamental component should be supplied in the grid. However, many modern industrial or information devices are nonlinear loads, and the load current waveform of the device is a non-sinusoidal wave; the distorted waveform can be analyzed to find many components several times the fundamental frequency. Periodic waves other than these fundamental frequencies are formed as harmonics. These harmonics cause a lot of energy consumption to the grid.
Moreover, with the obvious problems of energy crisis and environmental pollution, energy consumption is more and more emphasized by people.
Therefore, the technical problem to be solved urgently is to provide a real-time energy optimization device.
Disclosure of Invention
The embodiment of the invention mainly aims to provide a real-time energy optimization device to solve the technical problem of how to optimize energy in real time.
In order to achieve the above object, according to an aspect of the embodiments of the present invention, the following technical solutions are provided:
a real-time energy optimization device is applied to a power grid; the real-time energy optimization device comprises:
the acquisition module is used for acquiring power grid parameters; the power grid parameters comprise consumer power load, single machine capacity, consumer power data and energy storage component parameters;
the processing module is used for optimizing the power of the power grid according to the power grid parameters;
the harmonic wave absorption module is used for carrying out harmonic wave absorption processing on the signals processed by the processor;
and the power factor improving module is connected with the harmonic wave absorbing module in parallel and is used for improving the power factor of the power grid.
Preferably, the processing module comprises:
a first calculating unit for calculating a consumer electricity cost according to the following formula:
wherein t represents a time period; the T represents the period number of the control cycle; the above-mentionedRepresents the electricity rate for the t period; the above-mentionedElectric power representing the time period t for supplying the electric load; the OMSThe operation and maintenance cost coefficient of the energy storage component is represented and is in direct proportion to the charge and discharge electric quantity of the energy storage component in the power grid; the above-mentionedRepresenting the charging power of the energy storage component in the power grid during the t period; the above-mentionedRepresenting the discharge power supplied by the energy storage component to the electric load in the electric network during the t period;
a second calculating unit for calculating the electricity load of the consumer according to the following formula:
wherein, therepresenting the consumer's electrical load during said period t, said ηCrepresenting the charging efficiency of the energy storage components in the grid, and the etaDRepresenting a discharge efficiency of the energy storage component in the power grid;
a state determination unit, configured to determine a state of the energy storage component in the power grid according to the following equation:
in the formula (I), theIndicating that the energy storage component is in a charging state for the t period; the above-mentionedIndicating that the energy storage component is in a discharge state during the t period; wherein, theAnd saidIndicating that the energy storage component is fully charged for the t period; the above-mentionedAnd saidIndicating that the energy storage component is completely in a discharge state during the t period; the above-mentionedAnd saidIndicating that the energy storage component is in a standby state.
Preferably, the harmonic absorbing module includes:
a bidirectional transient voltage suppression diode for eliminating transient interference signals in the power grid;
a voltage dependent resistor connected in parallel with the bidirectional transient voltage suppression diode for canceling surge signals in the power grid;
a first branch, connected in parallel with the varistor and comprising a first capacitor and a transformer and a first inductor; the first capacitor and the primary winding of the transformer constitute a series resonant circuit; the first inductor acts as a load for a secondary winding of the transformer;
a second branch comprising a second capacitor and a third capacitor; wherein the second capacitor is connected with the third capacitor, and the common end connected with the second capacitor and the third capacitor is grounded.
Preferably, the power factor improvement module is a capacitive load.
Preferably, the power factor improvement module further includes: the power factor corrector comprises a second inductor, a first resistor, a power factor corrector, a switch, a diode, a fourth capacitor, a second resistor, a third resistor and a fourth resistor; the second inductor comprises a main winding and an auxiliary winding, wherein one end of the main winding is connected with the anode of the diode, and the other end of the main winding is used as an input end; one end of the auxiliary winding is connected with the first resistor, and the other end of the auxiliary winding is grounded; the other end of the first resistor is connected with the power factor corrector; the switch is respectively connected with the anode of the diode, the power factor corrector and one end of the second resistor; one end of the fourth capacitor is connected with the cathode of the diode, and the other end of the fourth capacitor is connected with the connecting end of the second resistor and the switch; the third resistor and the fourth resistor form a series branch and the series branch is connected with the fourth capacitor in parallel.
Compared with the prior art, the technical scheme at least has the following beneficial effects:
the embodiment of the invention provides a real-time energy optimization device which is applied to a power grid. This real-time energy optimization device includes: the device comprises an acquisition module, a processing module, a harmonic absorption module and a power factor improvement module. The acquisition module is used for acquiring power grid parameters; the power grid parameters comprise consumer power load, single machine capacity, consumer power data and energy storage component parameters; the processing module is used for optimizing the power of the power grid according to the power grid parameters; the harmonic absorption module is used for carrying out harmonic absorption processing on the signal processed by the processor; the power factor improving module is connected with the harmonic wave absorbing module in parallel and used for improving the power factor of the power grid.
By adopting the technical scheme, the invention not only optimizes the parameters of the power grid, but also eliminates the harmonic waves in the power grid, thereby realizing the real-time energy optimization.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the means particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention, are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention without limiting the invention to the right. It is obvious that the drawings in the following description are only some embodiments, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:
fig. 1 is a schematic structural diagram illustrating a real-time energy optimization apparatus according to an exemplary embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating the structure of a processing module according to an exemplary embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating the structure of a harmonic absorption module according to an exemplary embodiment of the present invention;
fig. 4 is a schematic structural diagram illustrating a power factor improvement module according to an exemplary embodiment of the present invention.
These drawings and the description are not intended to limit the scope of the present invention in any way, but rather to illustrate the inventive concept to those skilled in the art by reference to specific embodiments.
Detailed Description
The technical problems solved, the technical solutions adopted and the technical effects achieved by the embodiments of the present invention are clearly and completely described below with reference to the accompanying drawings and the specific embodiments. It is to be understood that the described embodiments are merely a few, and not all, of the embodiments of the present application. All other equivalent or obviously modified embodiments obtained by the person skilled in the art based on the embodiments in this application fall within the scope of protection of the invention without inventive step. The embodiments of the invention can be embodied in many different ways as defined and covered by the claims. The various embodiments of the invention and the technical features thereof may be combined with each other without explicit limitation or without conflict. All other embodiments obtained by a person skilled in the art without making any inventive step are within the scope of protection of the present invention.
It should be noted that in the following description, numerous specific details are set forth in order to provide an understanding. It may be evident, however, that the subject invention may be practiced without these specific details.
Additionally, although examples of parameters including particular values may be provided herein, it should be appreciated that the parameters need not be exactly equal to the respective values, but rather approximate the respective values within acceptable error tolerances or design constraints.
In order to realize real-time energy optimization, the invention provides a real-time energy optimization device. The device includes: the device comprises an acquisition module 10, a processing module 20, a harmonic absorption module 30 and a power factor improvement module 40. The acquisition module 10 is used for acquiring power grid parameters; the power grid parameters may include consumer power load, stand-alone capacity, consumer power data, energy storage component parameters, and the like. The processing module 20 is configured to perform power-grid processing on the power grid according to the power grid parameters. The harmonic absorption module 30 is used for performing harmonic absorption processing on the signal processed by the processor 20. The power factor improving module 40 is connected in parallel with the harmonic absorbing module 30 and is used to improve the power factor of the power grid.
The energy storage component parameters include, but are not limited to, an energy storage component operation and maintenance cost coefficient, charge and discharge efficiency, capacity, self-power consumption rate and the like.
By adopting the above technical scheme, the embodiment utilizes the obtaining module to obtain the power grid parameters, and then performs optimization, harmonic absorption and power factor improvement processing through the processing module 20, the harmonic absorption module 30 and the power factor improvement module 40, respectively, thereby realizing real-time optimization of power grid energy.
In a preferred embodiment, the processing module specifically includes:
a first calculating unit for calculating a consumer electricity cost according to the following formula:
wherein t represents a time period; t represents the number of periods of the control cycle;represents the electricity rate for the t period;electric power representing the time period t for supplying the electric load; OM (open field programmable gate array)SThe operation and maintenance cost coefficient of the energy storage component is expressed and is in direct proportion to the charge and discharge electric quantity of the energy storage component in the power grid;representing the charging power of an energy storage component in the power grid during a period t;representing the discharge power of the energy storage component supplying the electrical load in the grid during the period t.
A second calculating unit for calculating the electricity load of the consumer according to the following formula:
wherein,representing the consumer's electrical load during time t [. eta. ]Crepresenting the charging efficiency of energy storage components in the grid, ηDIndicating the discharge efficiency of the energy storage components in the grid.
In practical application, P can be adjusted according to practical conditionsDtEThe following configuration is performed:
in the formula,respectively representing the minimum power consumption and the maximum power consumption used by the consumer.
The state determination unit is used for determining the state of the energy storage component in the power grid according to the following formula:
in the formula,indicating that the energy storage component is in a charging state for a period t;indicating that the energy storage component is in a discharge state for a period t; wherein,and isIndicating that the energy storage component is fully charged for a period t;and isIndicating that the energy storage component is completely in a discharge state during the period t;and isIndicating that the energy storage component is in a standby state.
In the practical application of the method, the material is,andthe following configuration can be made according to the actual situation:
in the formula,representing a minimum power for charging an energy storage component in the power grid;represents the maximum power at which the energy storage components in the grid are charged;representing a minimum power at which an energy storage component in the power grid discharges;representing the maximum power discharged by the energy storage components in the grid.
In the specific implementation process, the determination can be determined according to the following formula according to the actual situationAnd
in the formula, epsilon represents the self-consumption rate of an energy storage component in the power grid; TPSRepresenting the upper limit of the capacity of the energy storage components in the grid.
In the specific implementation process, the above equations 1 to 7 can be implemented by using WebSphere ILOG CPLEX (a mathematical optimization tool), Matlab (a mathematical tool), and the like.
Such processors include, but are not limited to, digital signal processors, field programmable gate arrays, system on a chip, application specific integrated circuits, and the like.
In a preferred embodiment, as shown in fig. 3, the harmonic absorbing module specifically includes: the bidirectional transient voltage suppression circuit comprises a bidirectional transient voltage suppression diode TVS, a voltage dependent resistor Rv, a first branch and a second branch which are connected in parallel. The bidirectional transient voltage suppression diode TVS is used for eliminating transient interference signals in the power grid. And the voltage dependent resistor Rv is connected with a bidirectional transient voltage suppression diode in parallel and used for eliminating surge signals in a power grid. The first branch is connected in parallel with the varistor Rv and comprises a first capacitor C1 and a transformer B and a first inductor L1; the first capacitor C1 and the primary winding of the transformer B constitute a series resonant circuit; the first inductor L1 acts as a load for the secondary winding of transformer B. The second branch comprises a second capacitor C2 and a third capacitor C3; wherein the common terminal of the second capacitor C2 and the third capacitor C3 is connected to ground, and the common terminal of the second capacitor C2 and the third capacitor C3 is connected to ground.
In the present embodiment, the magnetic core of the transformer B and the magnetic core of the first inductor L1 described above are nanocrystalline alloy toroidal cores. The magnetic ring has very high initial permeability (larger than 80000Gs/Oe), low loss (smaller than 25W/kg) and high saturation magnetic flux density (Bs is 1.25T). Therefore, the transformer B and the first inductor L1 with small size, low loss, low heat generation and good temperature stability can be obtained.
In the above-described embodiment, by adjusting the transformation ratio of the transformer B (for example, to 1:4), the impedance of the series resonant circuit formed by the first capacitor C1 and the primary winding of the transformer B can be further reduced, thereby improving the high-frequency harmonic absorption effect.
Further, the first capacitor C1 employs a high-frequency capacitance.
Further, the second capacitor C2 and the third capacitor C3 are ceramic capacitors.
Furthermore, a resistor can be connected in parallel across the first branch circuit, and the resistor is used for eliminating residual voltage when the power supply is stopped.
In practical application, when a power grid or electric equipment generates rapid transient pulse interference, the two-way transient voltage suppression diode TVS connected in parallel to the power supply rapidly changes from high resistance to low resistance to absorb surge power, so that the power supply voltage is clamped at a preset value; meanwhile, the piezoresistor Rv is changed from high resistance to low resistance to release the voltage higher than the nominal voltage value of the rheostat, and the voltage is clamped at the nominal voltage value of the rheostat; therefore, the method has a suppression effect on high-frequency harmonic waves and high-frequency noise generated by the electric equipment, prevents the high-frequency harmonic waves of the power grid from entering the electric equipment, and simultaneously suppresses transient signals, surge signals and common-mode interference in the power grid.
In a preferred embodiment, the power factor improving module is a capacitive load.
The capacitive load may be a capacitor, for example.
In a more preferred embodiment, as shown in fig. 4, the power factor improving module may further connect in parallel a second inductor L2, a first resistor R1, a power factor corrector 41, a switch 42, a diode D, a fourth capacitor C4, a second resistor R2, a third resistor R3 and a fourth resistor R4 on the basis of the capacitive load. The second inductor L2 includes a main winding and an auxiliary winding, wherein one end of the main winding is connected to the anode of the diode D, and the other end of the main winding serves as an input end; the auxiliary winding is connected to a first resistor R1 at one end and to ground at the other end. The other end of the first resistor R1 is connected to the power factor corrector 41. The switch 42 is connected to the anode of the diode, the power factor corrector 41, and one end of the second resistor R2, respectively. One end of the fourth capacitor C4 is connected to the cathode of the diode D, and the other end is connected to the connection end of the second resistor R2 and the switch 42. The third resistor R3 and the fourth resistor R4 form a series branch and the series branch is connected in parallel with the fourth capacitor C4.
The switch 42 includes, but is not limited to, a switching device formed of a field effect transistor and/or a bipolar transistor, etc.
In the above embodiment, the second resistor is used for current detection. The power factor corrector 41 on/off-controls the switch 42 in accordance with the voltage across the series arm formed by the third resistor R3 and the fourth resistor R4, the voltage across the first resistor R1, and the current of the auxiliary winding of the second inductor L2, thereby stabilizing the voltage across the series arm formed by the third resistor R3 and the fourth resistor R4 at a predetermined value, thereby ensuring active power while reducing reactive power, and improving the power factor.
From the above description of the embodiments, it is clear to those skilled in the art that the present invention can be implemented by software plus a necessary hardware platform, and of course, the present invention can also be implemented by hardware, but the former is a better embodiment in many cases. With this understanding in mind, the present solution or portions thereof that contribute to the prior art may be embodied in the form of a computer software product, which may provide these computer program instructions to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the block diagram block or blocks.
The technical solutions provided by the embodiments of the present invention are described in detail above. Although specific examples have been employed herein to illustrate the principles and practice of the invention, the foregoing descriptions of embodiments are merely provided to assist in understanding the principles of embodiments of the invention.
It should be noted that: the numerals and text in the figures are only used to illustrate the invention more clearly and are not to be considered as an undue limitation of the scope of the invention.
The terms "comprises," "comprising," or any other similar term are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus/device.
The foregoing detailed description of exemplary embodiments of the invention has been presented for the purposes of illustration and description. It is not intended to be exhaustive or to limit the invention to the precise form described. Obviously, many modifications and variations will be apparent to practitioners skilled in the art. The embodiments were chosen and described in order to best explain the principles of the invention and its practical application, to thereby enable others skilled in the art to understand the invention for various embodiments and with various modifications as are suited to the particular use contemplated. Some of the above technical features may be omitted in the embodiments of the present invention, and only some of the technical problems in the prior art are solved. Furthermore, any combination of the features described may be used. The scope of the present invention is defined by the appended claims and equivalents thereof, and other modifications or substitutions and combinations of the technical solutions described in the appended claims can be made by those skilled in the art, and the technical solutions after such modifications or substitutions will fall within the scope of the present invention.
Claims (5)
1. A real-time energy optimization device is characterized by being applied to a power grid; the real-time energy optimization device comprises:
the acquisition module is used for acquiring power grid parameters; the power grid parameters comprise consumer power load, single machine capacity, consumer power data and energy storage component parameters;
the processing module is used for optimizing the power of the power grid according to the power grid parameters;
the harmonic wave absorption module is used for carrying out harmonic wave absorption processing on the signals processed by the processor;
and the power factor improving module is connected with the harmonic wave absorbing module in parallel and is used for improving the power factor of the power grid.
2. The real-time energy optimization device according to claim 1, wherein the processing module comprises:
a first calculating unit for calculating a consumer electricity cost according to the following formula:
wherein t represents a time period; the T represents the period number of the control cycle; the above-mentionedRepresents the electricity rate for the t period; the above-mentionedElectric power representing the time period t for supplying the electric load; the OMSThe operation and maintenance cost coefficient of the energy storage component is represented and is in direct proportion to the charge and discharge electric quantity of the energy storage component in the power grid; the above-mentionedRepresenting the charging power of the energy storage component in the power grid during the t period; the above-mentionedRepresenting the discharge power supplied by the energy storage component to the electric load in the electric network during the t period;
a second calculating unit for calculating the electricity load of the consumer according to the following formula:
wherein, therepresenting the consumer's electrical load during said period t, said ηCrepresenting the charging efficiency of the energy storage components in the grid, and the etaDRepresenting a discharge efficiency of the energy storage component in the power grid;
a state determination unit, configured to determine a state of the energy storage component in the power grid according to the following equation:
in the formula (I), theIndicating that the energy storage component is in a charging state for the t period; the above-mentionedIndicating that the energy storage component is in a discharge state during the t period; wherein, theAnd saidIndicating that the energy storage component is fully charged for the t period; the above-mentionedAnd saidIndicating that the energy storage component is completely in a discharge state during the t period; the above-mentionedAnd saidIndicating that the energy storage component is in a standby state.
3. The real-time energy optimization device according to claim 1, wherein the harmonic absorption module comprises:
a bidirectional transient voltage suppression diode for eliminating transient interference signals in the power grid;
a voltage dependent resistor connected in parallel with the bidirectional transient voltage suppression diode for canceling surge signals in the power grid;
a first branch, connected in parallel with the varistor and comprising a first capacitor and a transformer and a first inductor; the first capacitor and the primary winding of the transformer constitute a series resonant circuit; the first inductor acts as a load for a secondary winding of the transformer;
a second branch comprising a second capacitor and a third capacitor; wherein the second capacitor is connected with the third capacitor, and the common end connected with the second capacitor and the third capacitor is grounded.
4. The real-time energy optimization device according to claim 1, wherein the power factor improvement module is a capacitive load.
5. The real-time energy optimization device according to claim 4, wherein the power factor improvement module further comprises: the power factor corrector comprises a second inductor, a first resistor, a power factor corrector, a switch, a diode, a fourth capacitor, a second resistor, a third resistor and a fourth resistor; the second inductor comprises a main winding and an auxiliary winding, wherein one end of the main winding is connected with the anode of the diode, and the other end of the main winding is used as an input end; one end of the auxiliary winding is connected with the first resistor, and the other end of the auxiliary winding is grounded; the other end of the first resistor is connected with the power factor corrector; the switch is respectively connected with the anode of the diode, the power factor corrector and one end of the second resistor; one end of the fourth capacitor is connected with the cathode of the diode, and the other end of the fourth capacitor is connected with the connecting end of the second resistor and the switch; the third resistor and the fourth resistor form a series branch and the series branch is connected with the fourth capacitor in parallel.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810585925.5A CN108988342A (en) | 2018-06-08 | 2018-06-08 | A kind of real-time energy source optimization device |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810585925.5A CN108988342A (en) | 2018-06-08 | 2018-06-08 | A kind of real-time energy source optimization device |
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| CN2819622Y (en) * | 2005-04-01 | 2006-09-20 | 力信兴业股份有限公司 | Self-coupled switching auxiliary power supply device |
| CN102156463A (en) * | 2011-03-25 | 2011-08-17 | 浙江汉爵科技有限公司 | Planning management control system for construction energy |
| CN103427420A (en) * | 2013-08-30 | 2013-12-04 | 上海坤友电气有限公司 | Harmonic wave absorbing device |
| CN105281363A (en) * | 2015-10-12 | 2016-01-27 | 清华大学 | Multi-energy optimization and control method considering user consumption stickiness |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2819622Y (en) * | 2005-04-01 | 2006-09-20 | 力信兴业股份有限公司 | Self-coupled switching auxiliary power supply device |
| CN102156463A (en) * | 2011-03-25 | 2011-08-17 | 浙江汉爵科技有限公司 | Planning management control system for construction energy |
| CN103427420A (en) * | 2013-08-30 | 2013-12-04 | 上海坤友电气有限公司 | Harmonic wave absorbing device |
| CN105281363A (en) * | 2015-10-12 | 2016-01-27 | 清华大学 | Multi-energy optimization and control method considering user consumption stickiness |
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Application publication date: 20181211 |