WO2020034240A1 - Système de gestion d'énergie renouvelable - Google Patents

Système de gestion d'énergie renouvelable Download PDF

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Publication number
WO2020034240A1
WO2020034240A1 PCT/CN2018/101537 CN2018101537W WO2020034240A1 WO 2020034240 A1 WO2020034240 A1 WO 2020034240A1 CN 2018101537 W CN2018101537 W CN 2018101537W WO 2020034240 A1 WO2020034240 A1 WO 2020034240A1
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Prior art keywords
power
curve
target
monitoring device
feed
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PCT/CN2018/101537
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English (en)
Chinese (zh)
Inventor
郭易夫
陈宗达
林贤能
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友达光电股份有限公司
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Priority to SG11202101303UA priority Critical patent/SG11202101303UA/en
Publication of WO2020034240A1 publication Critical patent/WO2020034240A1/fr

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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
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • 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
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H02J3/382—
    • 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
    • Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02B90/20—Smart grids as enabling technology in buildings sector
    • 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
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • 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
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/30—State monitoring, e.g. fault, temperature monitoring, insulator monitoring, corona discharge
    • 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

Definitions

  • the invention relates to an energy system, and in particular to a management system for renewable energy.
  • An embodiment of the present invention is directed to a renewable energy management system including an energy system and a monitoring device.
  • the energy system is used to store battery power.
  • the monitoring device is coupled to the energy system.
  • the monitoring device is used to select a target curve from a plurality of estimation curves, and each estimation curve includes a plurality of time points and a target feed power corresponding to each time point.
  • the monitoring device is used to control the energy system to feed the external energy system with the target feed power at each time point.
  • the monitoring device is used to judge that the rate of change of the actual feed curve of the energy system exceeds the rated value, calculate smooth compensation parameters, and adjust the actual feed curve according to the smooth compensation parameters, so that the actual feed curve of the energy system conforms to the target curve.
  • the weather forecast can be used to select the power supply mode every other day and control the power supply change rate within a certain range to maintain the stability of the system;
  • the power output of renewable energy can be predicted to evaluate the initial battery capacity of the next time period when the time period is about to end, and at the same time to protect the battery circuit and give play to the best charging and discharging benefits of the battery;
  • FIG. 1 shows a functional block diagram of a renewable energy management system according to some embodiments of the present invention.
  • FIG. 2 shows a flowchart of steps in a method for managing renewable energy according to some embodiments of the present invention.
  • FIG. 3A shows a schematic diagram of a target curve in some embodiments according to the present invention.
  • FIG. 3B is a schematic diagram illustrating a method for managing a renewable energy source according to some embodiments of the present invention.
  • FIG. 4 is a functional block diagram of the internal structure of the monitoring device of the renewable energy management system in FIG. 1.
  • FIG. 5 shows a schematic diagram of a dynamic correction target curve of a renewable energy management system according to some embodiments of the present invention.
  • FIG. 6 is a schematic diagram of an actual feed curve adjusted by a renewable energy management system according to a target curve according to some embodiments of the present invention.
  • the renewable energy management system 100 includes a monitoring device 110 and an energy system 120.
  • the monitoring device 110 of the renewable energy management system 100 is connected to an external energy system 300.
  • the energy system 120 includes a plurality of power generation devices 121 and a plurality of power storage devices 123.
  • the energy system 120 can be used to store battery power.
  • the plurality of power generating devices 121 of the energy system 120 are configured to receive solar energy and obtain electrical energy through photoelectric conversion technology.
  • the power storage device 123 of the energy system 120 stores the received electrical energy.
  • the energy system 120 may be installed in a community, a school, a factory, or a company, etc. The present invention does not limit the places where the energy system 120 is installed and the degree of power demand thereof.
  • the renewable energy management system 100 can control the time interval of power spikes to overcome the problems caused by the unstable electricity demand of the conventional renewable energy system, excessive changes in single-day electricity consumption, and sudden weather changes.
  • the detailed method of controlling power generation spikes will be fully explained in the subsequent paragraphs.
  • the community includes multiple homes H1 to H4.
  • the home H1 is provided with a power generation device 121, a power storage device 123, and a charge and discharge control circuit 125.
  • the power storage device 123 is connected to the power generation device 121 so that the power storage device 123 can store the electric energy generated by the power generation device 121.
  • electricity is generated by the residential power generation device 121 and fed to the residential use. If the home is not provided with the power storage device 123, the excess power of the home is fed to the external energy system 300 for storage.
  • the external energy system 300 is, for example, a power grid system provided with a power storage system, a power generation system, and a monitoring center.
  • the charge and discharge control circuit 125 is coupled to the power generating device 121, the power storage device 123 and the monitoring device 110.
  • the homes H2 to H4 include a power generating device 121 and a charge-discharge control circuit 125, and a power storage device 123 may be selectively provided.
  • the monitoring devices 110 are respectively coupled to the charge and discharge control circuits 125 of the homes H1 to H4.
  • the charge / discharge control circuit 125 is used to adjust the operation of the power supply output and the stored power of the power generation device 121 and the power storage device 123 of each home.
  • the monitoring device 110 is coupled to the energy system 120.
  • the monitoring device 110 is used for managing and scheduling the renewable energy management and scheduling of the renewable energy management system 100, and also controls the power supply amount at each time point.
  • the monitoring device 110 stores power supply modes for different weather conditions in advance, and in order to manage and dispatch the demand every other day, it will select a most suitable power supply mode according to the weather forecast on the next day.
  • the monitoring device 110 controls the energy system 120 to supply power according to the time point and the corresponding power recorded in the power supply mode. Therefore, after one day, the actual power supply of the energy system 120 is the same or close to the change of the power supply mode.
  • the detailed operation of the energy management system will be explained below.
  • step S210 the monitoring device 110 selects a target curve from a plurality of estimation curves and adjusts the initial power of the battery, wherein each estimation curve is a continuous time function and includes multiple times. Points and the target feed power corresponding to each time point.
  • the prediction curve may also be a discrete time-power function.
  • These estimated curves are the curves of time and power in each power supply cycle (for example, one day), and represent the corresponding power at each time point.
  • the power supplied at each time point is, for example, the power supplied at 10:00 am, or the power supplied at a time interval, such as the power supplied between 10 am to 11 am, or 2 pm
  • the amount of power supplied between 2:30 pm and the present invention is not limited to the time interval or time zone referred to by the time point. Anything that can indicate the beginning of a period of time (such as 2 pm) and the passage of time (such as 30 minutes) Or 60 minutes) are within the scope of the present invention.
  • these prediction curves can be pre-designed smooth curves.
  • the slope of each point on the prediction curve will be between the first threshold r1 and the second threshold r2.
  • the slope of the estimated curve P (t) (that is, the instantaneous rate of change at each time point) dP (t) / dt of the present invention will be controlled to satisfy the following conditions: r2 ⁇ dP (t) / dt ⁇ r1.
  • r1 is the upper limit of the rate of change of the power supply, and r1 is, for example, 0.1%.
  • r2 is the lower limit of the rate of change of the power supply, and r2 is, for example, -0.1%. Therefore, the target curve selected by the monitoring device 110 from the plurality of estimated curves in step S210 will also be a smooth curve.
  • the target curve is a time-power curve, and the total power supply obtained by adding the power supply of the target curve at each time point (for example, integrating the curve in time, ⁇ P (t) dt), needs to be equal to the estimated next day energy system 120
  • the total power generation (EPV_estimated) will be the same.
  • the total power generation generated by the renewable energy management system 100 will be close to the total power supply of the day, and the fluctuation rate of power supply will be smoothed to avoid
  • the instantaneous changes in the feed power of the renewable energy management system 100 cause problems such as system instability or incapability of instant deployment.
  • the monitoring device 110 adjusts the current power of the battery so that the current power is less than the first power and greater than the second power.
  • the first power is a difference obtained by subtracting the power consumed by the battery from the energy required to charge the battery from 0% to 100%.
  • the second charge is the initial charge recorded on the target curve. For example, suppose the total capacity that a battery can store is 200,000 megawatts, and the total amount of electricity that can be generated next day is estimated to be 190,000 megawatts.
  • the remaining battery power is 60,000 megawatts
  • the initial time point corresponding to the target curve selected by the weather forecast every other day that is, the time when the power supply starts
  • the battery power is 10,000 MW, that is, transfer the excess 50,000 MW of power to other power grid systems (not shown).
  • the power required for power supply is reserved and the capacity required for future storage of the battery is reserved, which can reduce the continuous generation of power during the day and allow the battery to continue to be charged (the power generation is greater than the power supply), resulting in continuous charging.
  • the electricity keeps the battery at a high voltage. For example, in the case that 50,000 MW of electricity is not transmitted to other grid systems for storage, because the total estimated power generation is 190,000 MW plus the remaining battery power of 60,000 MW is 250,000 MW, but the total battery The capacity is only 200,000 megawatts, which may cause 50,000 megawatts of electricity to be stored and wasted. The battery will also be easily damaged due to the continuous high voltage state. On the other hand, part of the battery power retained in the initial time by the present invention is also sufficient to normally supply power during this period of time without causing a shortage of power.
  • FIG. 3A illustrates a schematic diagram of a target curve in some embodiments according to the present invention.
  • the monitoring device 110 stores a plurality of estimated curves.
  • a time period from 0 to T on the time axis represents a time period, for example, 0 am to 11:59 pm.
  • the first estimation curve P 1 (t), the second estimation curve P 2 (t), and the third estimation curve P 3 (t) indicate that the energy system 120 starts to supply power at point A (for example, 6:15 a.m.). And increase the power supplied over time.
  • time point C for example, 5 pm
  • time point E for example, 8 pm
  • time point D for example, 6:30 pm
  • the power supply amount is reduced with time, and the power supply amount at time point B (for example, 23:15 in the afternoon) is reduced to zero.
  • the first prediction curve P 1 (t), the second prediction curve P 2 (t), and the third prediction curve P 3 (t) correspond to a period of time (for example, 24 hours) for different weather.
  • State of power supply The better the weather conditions (for example, sunny and cloudless), the higher the amount of power that the energy system 120 can perform photoelectric conversion. The worse the weather conditions (such as a thunderstorm overcast), the lower the amount of electricity that the energy system 120 can perform photoelectric conversion.
  • the first prediction curve P 1 (t) represents weather suitable for sunny days, so it provides a comparison with the second prediction curve P 2 (t) and the third It is estimated that the power of the curve P 3 (t) is higher.
  • three estimation curves are used as an illustration. The present invention does not limit the number of estimation curves. Different numbers and patterns of estimation curves can be set according to implementation requirements.
  • the monitoring device 110 controls the energy system 120 to feed the target feed power at each time point using the target curve, such as feeding to the external energy system 130 or supplying energy. Used by other homes in the system 120.
  • the monitoring system 110 controls the power supply of the energy system 120 according to the target curve, which is described in detail below.
  • FIG. 3B is a schematic diagram illustrating a method for managing a renewable energy source according to some embodiments of the present invention.
  • the power generation curve GE (t) is a curve of the power generation amount at each time.
  • Each point on the target curve P C (t) corresponds to a time point and the target feed power, that is, the energy system 120 at that time point will use the target feed power to supply power.
  • the monitoring device 110 receives weather forecast data, and determines the power generation curve GE (t) according to the weather forecast data.
  • the total amount of power of the power generation curve GE (t) at each time is the total power generation amount of the energy system 120 in one day.
  • the power generation curve GE (t) is obtained according to the prediction technology of the solar photovoltaic power generation system.
  • the total power supply of each estimated curve at each time point and the power generation curve GE (t) are calculated.
  • an estimated curve having the same total power supply amount or closest to the total power generation amount is selected as the target curve P C (t).
  • the monitoring device 110 evaluates the storable power at each time point according to the power generation curve GE (t). For example, at the time point M x , the storable power is M y1 , and the target feed power of the target curve P C (t) is M y2 . Since the storable power M y1 is greater than the target feed power M y2 , the monitoring device 110 will control the energy system 120 to charge and store the extra power (for example, the difference between M y1 minus M y2 ) to the power storage device 123 (such as (Shown in Figure 1).
  • the extra power for example, the difference between M y1 minus M y2
  • the monitoring device 110 sends a charging instruction to the charge and discharge control circuit 125 to notify the charge and discharge control circuit 125 to start charging the power storage device 123.
  • the power fed by the energy system 120 is the instantaneous power of the power generation device 121 minus the power storage device 123
  • the stored power is charged so that the electric energy fed by the energy system 120 is close to the target feed electric quantity M y2 .
  • the storable power is N y1
  • the target feed power of the target curve P C (t) is N y2 . Since the storable power N y1 is smaller than the target feed power N y2 , the monitoring device 110 will control the energy system 120 to discharge, and output the required power (for example, the difference between N y2 minus N y1 ) from the power storage device 123 (such as (Shown in Figure 1).
  • the monitoring device 110 sends a discharge instruction to the charge and discharge control circuit 125 to notify the charge and discharge control circuit 125 to discharge the power storage device 123.
  • the power supplied by the energy system 120 includes the power generated by the power generation device 121 and the storage The sum of the discharge power of the electric device 123.
  • the charge-discharge control circuit 125 may also be provided in the monitoring device 110, and the charge-discharge control circuit of the monitoring device 110 may adjust the power generation device 121 and the power storage device 123 of each home together.
  • step S230 the monitoring device 110 determines whether the change rate of the actual feed curve of the energy system 120 exceeds the rated value.
  • the actual power supply curve is a time-power curve of the actual power supply of the energy system 120 at each time point of the day. For example, after the monitoring device 110 controls the power supply mode of the energy system 120 according to the target curve, the energy system 120 may suddenly change the power of the power generation device 121 due to the rapid changes in current weather factors, resulting in actual changes The change of the feed power on the power supply exceeds the rated value, and the power cannot be completely matched to the target curve.
  • step S240 a smoothing compensation parameter is calculated. A detailed description of calculating the smoothing compensation parameters is as follows.
  • FIG. 4 illustrates a functional block diagram of the internal structure of the monitoring device 110 of the renewable energy management system 100 in FIG. 1.
  • the monitoring device 110 includes a decision circuit 111, a control circuit 113, and a smoothing compensation circuit 115.
  • the control circuit 113 is coupled to the decision circuit 111 and the smoothing compensation circuit 115, respectively.
  • the decision circuit 111 is used to select the most suitable target curve from the multiple estimated curves according to the weather forecast (such as step S210 described above), so that the energy system 120 supplies power according to the time and power of the target curve.
  • the control circuit 113 monitors the change of the feed power of the energy system 120 and determines whether the rated value is exceeded (such as step S220 and step S230 described above).
  • the control circuit 113 determines that the change of the feed power exceeds the rated value, the control circuit 113 controls the smoothing compensation circuit 115 to correspondingly perform the calculation of the smoothing compensation parameters (such as the above-mentioned step S240). For example, when the change of the feed power is greater than or equal to the rated value, the smoothing compensation circuit 115 performs the calculation of the smoothing compensation parameters according to the following formula:
  • P smooth P smooth, pre + K * error
  • P smooth the compensation power
  • P smooth pre + K * error
  • error the error value between the current feed power and the average feed power
  • K the rate-of-change compensation parameter
  • the control circuit 113 monitors whether the change of the feed power of the energy system 120 is slowing down. If the energy system 120 after smooth compensation control is operated with a smooth feed power, the smooth compensation circuit 115 will output a cancel compensation command. For example, when the control circuit 113 determines that the change in the feed power is less than a rated release value, the control circuit 113 controls the smoothing compensation circuit 115 to stop performing the calculation of the smoothing compensation parameters. The smoothing compensation circuit 115 gradually decreases the compensation power P smooth to zero, and finally stops the smooth compensation of the energy system 120. At this time, the actual feeding curve of the energy system 120 will conform to the target curve.
  • the monitoring device 110 selects the most suitable target curve according to the weather forecast, and controls the energy system 120 to supply power in a smooth target curve mode, so that the power supply of the energy system 120 is stable and achieves the effect of stable system.
  • the monitoring device 120 monitors whether the actual feed power of the energy system is stable, and immediately feeds back the smooth compensation parameters to the energy system 120, so that the output of the energy system 120 can be adjusted in real time, and the smooth compensation correction can be performed in real time. This makes the energy system 120 more stable during the whole day of operation.
  • step S250 the monitoring device 110 determines the sum of the remaining battery power and the future power generation amount (the sum of the remaining battery power and the predicted power generation amount) at a point in time, compared with that time The sum of the target feed power after the point (the area of the target curve after a point in time), and whether the difference between the two exceeds a threshold value. If the judgment is yes, the target curve is reselected. For example, as shown in FIG future computing power generation amount curve GE (t) area under the curve at the time point after the estimated M x obtained, this generation and the amount of remaining battery power summed 3B, you can estimate obtained Total available power.
  • a target curve P C (t) area under the curve after the time point of M x obtained estimated total power consumption calculates the difference between the estimated total available power and the estimated total power consumption, and determine whether the difference exceeds the threshold. For example, when the total estimated power is less than the available total power consumption estimates, representative of high power energy system 120 according to the target curve P C (t) provided by the energy system 120, and in fact are not available (e.g., the time Weather Forecasts inferior status reports to the good), it is necessary to adjust the target curve P C (t), in order to reduce power energy systems 120.
  • the monitoring apparatus 110 will reselect the target curve P C (t) curve from among a plurality of prediction, the newly selected mode is, for example, based on current weather conditions.
  • the weather conditions suddenly become cloudy, it is necessary to select an estimated curve with a lower peak value of electricity as the target curve P C (t).
  • the estimated curve P 1 (t) was originally used as the target curve P C (t). Due to the weather conditions, it must be modified to use the estimated curve P 2 (t) as the target curve P C (t).
  • FIG. 5 illustrates a schematic diagram of an actual feed curve adjusted by a renewable energy management system according to a target curve according to some embodiments of the present invention.
  • the estimated total available power after the time point K1 is less than the total estimated power consumption
  • the monitoring device 110 selects the prediction curve P 2 (t) as a new target from a plurality of prediction curves.
  • Curve P C (t) Because it takes a buffer time to change the power supply mode of the energy system 120 from the estimated curve P 1 (t) to the estimated curve P 2 (t), the energy system 120 will slowly move from the estimated curve P 1 (t) at the time point K1.
  • regenerative energy management system 100 of the present invention can provide short-term weather forecast (e.g., every other day or day of the next four hours, etc.), and to evaluate whether to adjust the target curve P C (t).
  • step S250 if it is judged that the sum of the remaining battery power at a time point and the future power generation amount is compared with the sum of the target feed power amount after that time point, If the difference between them does not exceed the threshold, step S270 is performed.
  • step S270 it is determined whether the power monitoring of the entire time period (for example, one day / 24 hours) has been completed. If the judgment in step S270 is YES, it means that it is necessary to start the renewable energy prediction and feed control for another time period, then return to step S210 to perform the aforementioned renewable energy management technology with the weather forecast every other day. If the determination in step S270 is no, then return to step S220 and continue to perform feed monitoring.
  • FIG. 6 illustrates a schematic diagram of an actual feed curve adjusted by a renewable energy management system according to a target curve according to some embodiments of the present invention.
  • the time and power curve of the energy system 120 power supply is the actual feed curve P real (t), which is close to the target curve P C (t).
  • the actual feed curve P real (t) and the target curve P C (t) have the same peak power time period, where the peak power time period is a time period for peak power supply.
  • the power supply maximum value of the actual feed curve P real (t) is at the power supply peak P max .
  • the time segment T peak (for example, the power supply peak P max is 12 noon) between the time point T P1 (for example, 2 hours before the power supply peak P max ) and the time point T P2 (for example, 2 hours after the power supply peak P max ) , Then the time zone is from 10 am to 2 pm), and T peak in this time zone can generate the highest amount of power generation in a day.
  • the peak portion of the target curve P C (t) will also be in the time zone T peak between the time point T P1 and the time point T P2 .
  • the energy system 120 (as shown in FIG. 1) can generate power with the power generation curve GE (t).
  • the time segment G peak (such as the power generation peak G max ) between the time point T G1 (for example, 2 hours before the power generation peak G max ) and the time point T G2 (such as the power generation peak G max for 2 hours) It is 12:00 noon, and the time zone is from 10 am to 2 pm). In this time zone, G peak can generate the highest power generation in one day.
  • the energy system 120 uses the target curve P C (t) to feed power.
  • the power supply peak T peak of the actual feed curve P real (t) of the present invention is determined by the change in the target curve, not the power generation curve GE. (t).
  • the actual feed curve P real (t) and the target curve P C (t) have the same peak power use time section T peak , and not necessarily the power generation peak time zone of the power generation curve GE (t).
  • the segment G peak corresponds or overlaps.
  • the present invention can also design a target curve P C (t) corresponding to the peak power consumption time section T peak and the power generation peak time section G peak of the power generation curve GE (t), and make the monitoring device 110 The target curve P C (t) to control the feeding.
  • the power supply mode of the next day can be selected by weather forecast and the change rate of power supply can be controlled within a certain range to maintain the stability of the system.
  • the renewable energy management system and method provided by the present invention can predict the power output of renewable energy to evaluate the initial battery capacity of the next time period when the time period is about to end, and at the same time to protect the battery circuit and make the best use of the battery Charge and discharge benefits.
  • the renewable energy management system and method provided by the present invention can control the time interval of power supply spikes, overcome the problem that the conventional renewable energy system can only provide the maximum power at the power generation spikes, and have the technical effect of protecting the stability of the power plant .
  • the weather forecast can be used to select the power supply mode every other day and control the power supply change rate within a certain range to maintain the stability of the system;
  • the power output of renewable energy can be predicted to evaluate the initial battery capacity of the next time period when the time period is about to end, and at the same time to protect the battery circuit and give play to the best charging and discharging benefits of the battery;

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Abstract

L'invention concerne un système de gestion d'énergie renouvelable (100), comprenant un système d'énergie (120) et un appareil de surveillance (110). Le système d'énergie (120) est utilisé pour stocker la puissance de la batterie. L'appareil de surveillance (110) est couplé au système d'énergie (120), l'appareil de surveillance (110) est utilisé pour sélectionner une courbe cible parmi de multiples courbes de prédiction, chaque courbe de prédiction comprenant de multiples points temporels et une puissance d'alimentation cible correspondant à chaque instant, et l'appareil de surveillance (110) étant utilisé pour commander au système d'énergie (120) d'alimenter la puissance d'alimentation cible à chaque instant, pour calculer un paramètre de compensation lisse lorsqu'il est déterminé qu'un taux de changement d'une courbe d'alimentation réelle du système d'énergie (120) dépasse une valeur nominale et pour régler la courbe d'alimentation réelle en fonction du paramètre de compensation lisse, ce qui rend la courbe d'alimentation réelle du système d'énergie (120) conforme à une courbe cible.
PCT/CN2018/101537 2018-08-17 2018-08-21 Système de gestion d'énergie renouvelable WO2020034240A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
SG11202101303UA SG11202101303UA (en) 2018-08-17 2018-08-21 Renewable energy management system

Applications Claiming Priority (2)

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