CN113690878B - Three-phase switching control method for micro-grid - Google Patents
Three-phase switching control method for micro-grid Download PDFInfo
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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
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
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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
- H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
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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
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
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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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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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
- H02J3/28—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
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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
- H02J3/381—Dispersed generators
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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
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
-
- 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
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
- H02J3/472—For selectively connecting the AC sources in a particular order, e.g. sequential, alternating or subsets of sources
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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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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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
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
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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
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
-
- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/20—Climate change mitigation technologies for sector-wide applications using renewable energy
Abstract
The embodiment of the invention provides a three-phase control method of a micro-grid, which is used for predicting the generated energy of a photovoltaic power generation device and the load power consumption of each transformer, and switching the photovoltaic power generation device to different transformer sides according to the prediction result, so that the purpose of maximizing the local consumption of new energy is achieved, and the benefit maximization is realized; meanwhile, the energy storage device is used for charging in the valley electricity price period, and the energy storage device is switched to different transformers and set to discharge according to the predicted load electricity consumption and the actual electricity price of each transformer in the peak electricity price period, so that the power fluctuation caused by the power peak-valley requirement is stabilized, the opportunity cost of charging the energy storage device is minimized, and the benefit maximization is further realized.
Description
Technical Field
The invention relates to the field of new and old kinetic energy conversion of power supply and distribution systems, in particular to a three-phase control method of a micro-grid.
Background
Under the background of new energy, new technology, new traffic and new trend, energy transformation and low carbon development become times main melodies, and the power plant is taken as an important support and foundation of the traditional power system and is in trend of responding to the green development of the state. Distributed power generation is a system in which a power generation system is arranged near a user in a small-scale, decentralized manner, and electric energy can be independently output. The distributed power generation has the advantages of energy conservation, emission reduction, low loss, high efficiency and the like, and the distributed power generation also has a plurality of problems such as influence on the operation safety of a power grid, long cost recovery time, unstable power generation income and the like.
In carrying out the present invention, the applicant has found that at least the following problems exist in the prior art:
the electric power obtained by photovoltaic power generation cannot be fully and effectively utilized, so that the benefit maximization of new energy cannot be achieved.
Disclosure of Invention
The embodiment of the invention provides a three-phase control method for a micro-grid, which solves the problems of fully utilizing the power supply of new energy and a traditional power system and improving the use benefit of the new energy.
In order to achieve the above object, in one aspect, an embodiment of the present invention provides a micro-grid three-phase control method, where the micro-grid includes: a mains transformer, N plant transformers, a photovoltaic power generation device and an energy storage device, the method comprising:
predicting the electricity consumption of the mains supply transformer in a specified first time period to obtain the electricity consumption of a mains supply predicted load;
predicting the electricity consumption of the N power plant transformers in the first time period to obtain the electricity consumption of each power plant transformer in the power plant prediction load;
predicting the photovoltaic power generation amount of the photovoltaic power generation device in the first time period to obtain photovoltaic predicted power generation amount;
if the photovoltaic predicted power generation amount is smaller than or equal to the commercial power predicted load power consumption amount, setting a transformer which is selectively cut in by the photovoltaic power generation device as the commercial power transformer;
If the photovoltaic predicted power generation amount is larger than the commercial power predicted load power consumption amount, setting the transformer which is selectively cut in by the photovoltaic power generation device as one of the N power plant transformers, wherein the power plant predicted load power consumption amount has the largest numerical value;
if the current actual electricity price of the mains supply transformer is the valley time electricity price, setting the transformer which is selectively cut in by the energy storage device as the mains supply transformer and setting the energy storage device into a charging state;
if the current actual electricity price of the commercial power transformer is the peak-time electricity price, setting the energy storage device to select a cut-in transformer and setting the energy storage device to be in a discharge state according to the power consumption of the commercial power predicted load and the power consumption of the plant power predicted loads of the N plant power transformers;
wherein N is a positive integer greater than or equal to 1.
Further, after setting the transformer selectively cut in by the photovoltaic power generation device as the utility power transformer if the photovoltaic predicted power generation amount is less than or equal to the utility power predicted load power consumption amount, the method further includes:
if the actual power generation amount of the photovoltaic power generation device is smaller than or equal to the actual load power consumption amount of the commercial power transformer, setting the running state of the photovoltaic power generation device to be a full-power generation state; otherwise, the residual electric quantity of the photovoltaic power generation device is sent to a public power grid.
Further, after setting the transformer selectively cut in by the photovoltaic power generation device to be one of the N power plant transformers with the largest power plant predicted load power consumption value if the photovoltaic power generation amount is greater than the utility power predicted load power consumption, the method further includes:
and setting the operation state of the photovoltaic power generation device to be a full-power generation state.
Further, the predicting the electricity consumption of the utility power transformer in the specified first time period to obtain the predicted load electricity consumption of the utility power specifically includes:
and acquiring the electricity consumption of the mains supply transformer in a specified first historical time period, establishing a mains supply predicted load curve according to the acquired electricity consumption of the mains supply transformer, and obtaining the mains supply predicted load electricity consumption in the first time period according to the mains supply predicted load curve.
Further, predicting the power consumption of the N power plant transformers in the first time period to obtain respective power plant predicted load power consumption of each power plant transformer, which specifically includes:
and respectively acquiring the electricity consumption of the N power plant transformers in a specified second historical time period, respectively establishing power plant prediction load curves corresponding to the power plant transformers according to the acquired electricity consumption of the power plant transformers, and obtaining the power plant prediction load electricity consumption of the power plant transformers in the first time period according to the power plant prediction load curves.
Further, the setting the energy storage device to select the switched-in transformer and setting the energy storage device to be in a discharge state according to the electric power consumption of the commercial power predicted load and the electric power consumption of the plant power predicted load of each of the N plant power transformers includes:
predicting the discharge capacity of the energy storage device to obtain the predicted discharge capacity of the energy storage;
and if the energy storage predicted discharge capacity is larger than the power consumption of the commercial power predicted load, setting the transformer which is selectively cut into by the energy storage device as one of the N power plant transformers and has the largest power consumption value of the power plant predicted load, setting the energy storage device to discharge according to a power plant predicted load curve corresponding to the power plant transformer which is cut into by the energy storage device, otherwise, cutting the energy storage device into the commercial power transformer and setting the energy storage device to discharge the commercial power transformer according to the power plant predicted load curve.
Further, the N plant transformers include: a first factory electrical transformer and a second factory electrical transformer; wherein n=2;
the microgrid further comprises: the first three-power supply switching cabinet and the second three-power supply switching cabinet;
the photovoltaic power generation device is electrically connected with one or more of a mains transformer, a first factory power transformer or a second factory power transformer through the first power supply switching cabinet;
The energy storage device is electrically connected with one or more of a mains transformer, a first factory transformer or a second factory transformer through the second third power supply switching cabinet;
the transformer for selectively switching in the photovoltaic power generation device is set as the mains supply transformer, and specifically comprises the following components:
controlling the first third power supply switching cabinet to electrically connect the photovoltaic power generation device to the mains transformer;
the step of setting the transformer selectively cut into by the photovoltaic power generation device as one of the N power plant transformers with the largest power consumption value of the power plant predictive load, specifically comprises the following steps:
controlling the first third power supply switching cabinet to electrically connect the photovoltaic power generation device with one of the first and second power supply transformers, wherein the power consumption value of the power supply predicted load is the largest;
the transformer for selectively switching in the energy storage device is set as the mains supply transformer, specifically:
controlling the second third power supply switching cabinet to electrically connect the energy storage device to the mains transformer;
the step of setting the energy storage device to select the cut-in transformer according to the power consumption of the commercial power predicted load and the power consumption of the power plant predicted load of each of the N power plant transformers specifically comprises the following steps:
And controlling a second third power supply switching cabinet to electrically connect the energy storage device to one of the first power plant transformer and the second power plant transformer according to the power consumption of the commercial power predicted load, the power consumption of the power plant predicted load of the first power plant transformer and the power consumption of the power plant predicted load of the second power plant transformer.
The technical scheme has the following beneficial effects: the power generation capacity of the photovoltaic power generation device is predicted, the load power consumption of each transformer is predicted, and the photovoltaic power generation device is switched to different transformer sides according to the prediction result, so that the purpose of maximizing the local consumption of new energy is achieved, and the benefit maximization is realized; meanwhile, the energy storage device is used for charging in the valley electricity price period, and the energy storage device is switched to different transformers and set to discharge according to the predicted load electricity consumption and the actual electricity price of each transformer in the peak electricity price period, so that the power fluctuation caused by the power peak-valley requirement is stabilized, the opportunity cost of charging the energy storage device is minimized, and the benefit maximization is further realized.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a micro-grid three-phase control method according to one embodiment of the present invention;
FIG. 2 is a schematic diagram of a micro-grid architecture according to one embodiment of the present invention;
fig. 3 is a flowchart of a three-phase control method of a micro grid according to one embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In one aspect, as shown in fig. 1, an embodiment of the present invention provides a method for controlling three-phase switching of a micro-grid, where the method is applied to a micro-grid control device, and the micro-grid control device may be any terminal or server with a computing function, and the micro-grid includes: a mains transformer, N plant transformers, a photovoltaic power generation device and an energy storage device, the method including, but not limited to, the steps of:
s100, predicting the electricity consumption of the mains supply transformer in a specified first time period to obtain the predicted load electricity consumption of the mains supply;
In one embodiment, a mains transformer refers to a transformer for powering a local area or a transformer for powering an area or vicinity where a photovoltaic power generation device is located; for example, the area served by the mains transformer may be one or several residential areas, in which at the same time photovoltaic power generation devices are arranged in or near the residential areas; the area served by the mains transformer can also be the area where one or more factories are located, and meanwhile, a photovoltaic power generation device is arranged in or near the factories; the utility transformer may also refer to a transformer that performs peak-to-valley electricity prices, such as may be available including, but not limited to, residential electricity that performs peak-to-valley electricity prices and industrial electricity that performs peak-to-valley electricity prices; the first time period may be specified in days as a period, predicted for each day, or may be a prediction and control period at intervals of multiple days or longer or shorter, as may be determined according to the needs of a particular practice. The prediction of the power consumption of the transformer load can be performed by a plurality of alternative methods including but not limited to a neural network method, a wavelet analysis prediction technology, a time sequence method, a regression analysis method and the like, and the prediction results of the plurality of methods can be synthesized to further analyze and calculate so as to obtain more accurate prediction.
S101, predicting the electricity consumption of the N power plant transformers in the first time period to obtain the respective power plant predicted load electricity consumption of each power plant transformer;
in one embodiment, some or all of the N plant power transformers may be transformers for supplying power to the local area, and some or all of the N plant power transformers may also be transformers for supplying power to a vicinity of the local area; part or all of the transformers can also be transformers for supplying power to residents and also can be transformers for supplying power to factories; some or all of the transformers may be transformers for performing peak-to-valley electricity prices or transformers for performing a price.
S102, predicting the photovoltaic power generation amount of the photovoltaic power generation device in the first time period to obtain photovoltaic predicted power generation amount;
in one embodiment, the utility predicted load power usage, the plant predicted load power usage of the N plant transformers, and the photovoltaic predicted power generation of the photovoltaic power generation device are predicted within the same specified first time period. The prediction method for the generated energy of the photovoltaic power generation device can be obtained by a person skilled in the art through the disclosure data, and the person skilled in the art can also design the prediction method according to the influence factors of the photovoltaic power generation.
S103, if the photovoltaic predicted power generation amount is smaller than or equal to the commercial power predicted load power consumption amount, setting a transformer which is selectively cut into by the photovoltaic power generation device as the commercial power transformer;
in one embodiment, when it is predicted that the power generation amount of the photovoltaic power generation device is smaller than or equal to the power consumption amount of the commercial power prediction load in the current period, for example, in the day, that is, the power generated by the photovoltaic power generation device can be consumed in the local area, the photovoltaic power generation device is set to cut into a commercial power transformer to supply power to the local area.
S104, if the photovoltaic predicted power generation amount is larger than the commercial power predicted load power consumption amount, setting the transformer which is selectively cut in by the photovoltaic power generation device as one of the N power plant transformers with the largest power plant predicted load power consumption amount value;
in one embodiment, when the photovoltaic power generation amount is predicted to be larger than the commercial power predicted load power consumption amount in the local area, the power generation amount of the photovoltaic power generation device cannot be completely consumed in the local area, and the photovoltaic power generation device is cut into one of the N power plant transformers, wherein the power plant predicted load power consumption amount has the largest value, so that the power generated by the photovoltaic power generation device can be fully consumed.
S105, if the current actual electricity price of the mains transformer is the valley time electricity price, setting the transformer which is selectively cut in by the energy storage device as the mains transformer and setting the energy storage device into a charging state;
in one embodiment, when the actual electricity price of the commercial power transformer in the local area is in the valley time electricity price, the energy storage device is cut into the commercial power transformer, and the energy storage device is charged by using the electric power of the commercial power transformer, so that the opportunity cost of charging is reduced. In general, during the off-peak electricity price, the power demand is also low, and at this time, the energy storage device can be used to save the surplus power, so that the energy storage device outputs the power outwards during the off-peak electricity price, that is, the benefit of expanding the smooth power fluctuation can be maximized.
S106, if the current actual electricity price of the commercial power transformer is the peak-time electricity price, setting the energy storage device to select a cut-in transformer and setting the energy storage device to be in a discharge state according to the commercial power predicted load electricity consumption and the plant power predicted load electricity consumption of each of the N plant power transformers;
in one embodiment, when the actual electricity price of the electric power output by the commercial power transformer in the local area is the peak-time electricity price, different transformers can be selectively cut into according to the predicted load electricity consumption amount and the real-time electricity price situation of the different transformers, and the energy storage benefit maximization is realized.
Wherein N is a positive integer greater than or equal to 1.
In one embodiment, N is preferably 2, i.e., the two electrical power plant transformers include a first electrical power plant transformer and a second electrical power plant transformer; for example, the first factory electrical transformer may be a 2500kVA transformer and the second factory electrical transformer may be a 630kVA transformer; the mains transformer may be a 1250kVA transformer; the specified first time period is preferably one day; preferably, the commercial power transformer is peak-to-valley electricity price, and the N factory power transformers are one-port electricity price. When the predicted power generation amount of the photovoltaic is less than or equal to the predicted load power consumption amount of the commercial power transformer, the photovoltaic power generation device is cut into the 1250kVA commercial power transformer for digestion on the same day; when the predicted power generation amount of the photovoltaic is predicted to be larger than the predicted load power consumption amount of the commercial power transformer, the power generated by the photovoltaic power generation device cannot be completely consumed by the load under the commercial power transformer, and the photovoltaic power generation device is switched to the power plant transformer to be consumed in the day; according to load prediction of a 630kVA life transformer (namely a second power plant transformer) and a 2500kVA transformer (namely a first power plant transformer), the photovoltaic power generation device is preferentially switched to one of the first power plant transformer and the second power plant transformer, and the power consumption of the power plant predicted load is larger. The energy storage device is implemented according to a strategy of 'charge-discharge' every day, and because the 1250kVA transformer (i.e. the mains transformer) side is provided with peak-valley electricity price, the night low-valley electricity price (i.e. the valley-time electricity price) is lower; therefore, during the valley electricity price period, the energy storage device is cut into the mains transformer, and the energy storage charging time period is ensured to be at the mains side. According to the predicted load of different transformers and the real-time electricity price, different transformers are selected to be cut in when the energy storage device discharges, and the energy storage income is maximized.
The embodiment of the invention has the following technical effects: the power generation capacity of the photovoltaic power generation device is predicted, the load power consumption of each transformer is predicted, and the photovoltaic power generation device is switched to different transformer sides according to the prediction result, so that the purpose of maximizing the local consumption of new energy is achieved, and the benefit maximization is realized; meanwhile, the energy storage device is used for charging in the valley electricity price period, and the energy storage device is switched to different transformers and set to discharge according to the predicted load electricity consumption and the actual electricity price of each transformer in the peak electricity price period, so that the power fluctuation caused by the power peak-valley requirement is stabilized, the opportunity cost of charging the energy storage device is minimized, and the benefit maximization is further realized.
Further, after setting the transformer selectively cut in by the photovoltaic power generation device as the utility power transformer if the photovoltaic predicted power generation amount is less than or equal to the utility power predicted load power consumption amount, the method further includes:
if the actual power generation amount of the photovoltaic power generation device is smaller than or equal to the actual load power consumption amount of the commercial power transformer, setting the running state of the photovoltaic power generation device to be a full-power generation state; otherwise, the residual electric quantity of the photovoltaic power generation device is sent to a public power grid.
In one embodiment, the predicted values of the photovoltaic predicted power generation amount and the commercial power predicted load power consumption may have deviation, so that after the photovoltaic power generation device is cut into the commercial power transformer side, the actual power generation amount of the photovoltaic power generation device is found to be smaller than or equal to the actual load power consumption amount of the commercial power transformer in the actual operation process, and the photovoltaic power generation device is set to be in a full-power generation state at the moment, so that the photovoltaic power generation device can be fully utilized to supply power for the commercial power transformer side; when the actual power generation amount of the photovoltaic power generation device is larger than the actual load power consumption amount of the commercial power transformer, the power generated by the photovoltaic power generation device cannot be completely consumed by the commercial power transformer side, and the residual power of the photovoltaic power generation device is uploaded to a public power grid so as to maximally utilize new energy.
The embodiment of the invention has the following technical effects: according to the relation between the actual electricity consumption of the photovoltaic power generation device and the commercial power transformer, the electric power generated by the photovoltaic power generation device is fully utilized, and the maximum utilization of new energy is realized.
Further, after setting the transformer selectively cut in by the photovoltaic power generation device to be one of the N power plant transformers with the largest power plant predicted load power consumption value if the photovoltaic power generation amount is greater than the utility power predicted load power consumption, the method further includes:
And setting the operation state of the photovoltaic power generation device to be a full-power generation state.
In one embodiment, if the power generation capacity of the photovoltaic power generation device on the current day cannot be completely consumed at the mains transformer side, the photovoltaic power generation device is cut into the mains transformer side with the maximum power consumption value of the power consumption of the power plant prediction load in the power plant transformer, and the photovoltaic power generation device is set to be in a full-power generation state, so that the power generated by the photovoltaic power generation device is fully utilized, and the maximum utilization of new energy is realized.
Further, the predicting the electricity consumption of the utility power transformer in the specified first time period to obtain the predicted load electricity consumption of the utility power specifically includes:
and acquiring the electricity consumption of the mains supply transformer in a specified first historical time period, establishing a mains supply predicted load curve according to the acquired electricity consumption of the mains supply transformer, and obtaining the mains supply predicted load electricity consumption in the first time period according to the mains supply predicted load curve.
In one embodiment, there is repeatability, periodicity due to the long-term trend of electricity usage; the electricity consumption in each day also has a short-term trend, for example, in summer, the electricity consumption is obviously increased due to the fact that air conditioners are used in a large amount, and the electricity consumption in the same area is basically the same in the same period in different time periods due to the fact that the number of residents in the designated area is not changed greatly; therefore, a trend curve of the electricity consumption can be constructed according to the historical electricity consumption, and the future electricity consumption can be predicted according to the trend curve. The first historical time period may be determined according to specific circumstances, may be one or more days such as a week, a specified month or months, etc.; and constructing a predicted load curve according to the collected electricity consumption in the appointed historical time period, and predicting the predicted load electricity consumption in the first time period according to the predicted load curve.
The embodiment of the invention has the following technical effects: in the appointed area and the historical period, the trend periodicity of the electricity consumption is more obvious, so that the electricity consumption in the local area can be more fit by constructing a prediction curve, and the future electricity consumption can be more accurately predicted according to the prediction curve.
Further, predicting the power consumption of the N power plant transformers in the first time period to obtain respective power plant predicted load power consumption of each power plant transformer, which specifically includes:
and respectively acquiring the electricity consumption of the N power plant transformers in a specified second historical time period, respectively establishing power plant prediction load curves corresponding to the power plant transformers according to the acquired electricity consumption of the power plant transformers, and obtaining the power plant prediction load electricity consumption of the power plant transformers in the first time period according to the power plant prediction load curves.
In one embodiment, there is repeatability, periodicity due to the long-term trend of electricity usage; the electricity consumption in each day also has a short-term trend, for example, in summer, the electricity consumption is obviously increased due to the fact that air conditioners are used in a large amount, and the electricity consumption in the same area is basically the same in the same period in different time periods due to the fact that the number of residents in the designated area is not changed greatly; therefore, a trend curve of the electricity consumption can be constructed according to the historical electricity consumption, and the future electricity consumption can be predicted according to the trend curve. The first historical time period may be determined according to specific circumstances, may be one or more days such as a week, a specified month or months, etc.; and constructing a predicted load curve according to the collected electricity consumption in the appointed historical time period, and predicting the predicted load electricity consumption in the first time period according to the predicted load curve.
The embodiment of the invention has the following technical effects: in the appointed area and the historical period, the trend periodicity of the electricity consumption is more obvious, so that the electricity consumption in the local area can be more fit by constructing a prediction curve, and the future electricity consumption can be more accurately predicted according to the prediction curve.
Further, the setting the energy storage device to select the switched-in transformer and setting the energy storage device to be in a discharge state according to the electric power consumption of the commercial power predicted load and the electric power consumption of the plant power predicted load of each of the N plant power transformers includes:
predicting the discharge capacity of the energy storage device to obtain the predicted discharge capacity of the energy storage;
and if the energy storage predicted discharge capacity is larger than the power consumption of the commercial power predicted load, setting the transformer which is selectively cut into by the energy storage device as one of the N power plant transformers and has the largest power consumption value of the power plant predicted load, setting the energy storage device to discharge according to a power plant predicted load curve corresponding to the power plant transformer which is cut into by the energy storage device, otherwise, cutting the energy storage device into the commercial power transformer and setting the energy storage device to discharge the commercial power transformer according to the power plant predicted load curve.
In one embodiment, during peak electricity prices, comparing the predicted discharge amount of the energy storage device with the predicted load electricity consumption of each transformer according to the energy storage of the energy storage device, so that the discharge output electricity of the energy storage device is preferentially consumed at the local mains transformer side, and if the predicted discharge amount of the energy storage device is far greater than the predicted load electricity consumption of the mains, cutting the energy storage device into one of the power transformers with the largest power consumption value of the power prediction load; in this embodiment, the energy storage device discharges according to the utility power predicted load curve or the plant power predicted load curve, so as to implement the actual load discharge more fitting the utility power transformer or the plant power transformer, so as to maximize the output power of the energy storage device, and at the same time maximize the energy storage benefit.
Further, as shown in fig. 2, the N plant-electric transformers include: a first factory electrical transformer and a second factory electrical transformer; wherein n=2;
the microgrid further comprises: the first three-power supply switching cabinet and the second three-power supply switching cabinet;
the photovoltaic power generation device is electrically connected with one or more of a mains transformer, a first factory power transformer or a second factory power transformer through the first power supply switching cabinet;
The energy storage device is electrically connected with one or more of a mains transformer, a first factory transformer or a second factory transformer through the second third power supply switching cabinet;
the transformer for selectively switching in the photovoltaic power generation device is set as the mains supply transformer, and specifically comprises the following components:
controlling the first third power supply switching cabinet to electrically connect the photovoltaic power generation device to the mains transformer;
the step of setting the transformer selectively cut into by the photovoltaic power generation device as one of the N power plant transformers with the largest power consumption value of the power plant predictive load, specifically comprises the following steps:
controlling the first third power supply switching cabinet to electrically connect the photovoltaic power generation device with one of the first and second power supply transformers, wherein the power consumption value of the power supply predicted load is the largest;
the transformer for selectively switching in the energy storage device is set as the mains supply transformer, specifically:
controlling the second third power supply switching cabinet to electrically connect the energy storage device to the mains transformer;
the step of setting the energy storage device to select the cut-in transformer according to the power consumption of the commercial power predicted load and the power consumption of the power plant predicted load of each of the N power plant transformers specifically comprises the following steps:
And controlling a second third power supply switching cabinet to electrically connect the energy storage device to one of the first power plant transformer and the second power plant transformer according to the power consumption of the commercial power predicted load, the power consumption of the power plant predicted load of the first power plant transformer and the power consumption of the power plant predicted load of the second power plant transformer.
In one embodiment, the first third power switching cabinet is used for remotely switching the photovoltaic power generation device into one of a mains transformer, a first factory transformer or a second factory transformer; the second three-power supply switching cabinet is used for remotely switching the energy storage device into one of a mains transformer, a first factory transformer or a second factory transformer; the first three-power supply switching cabinet and the second three-power supply switching cabinet are used for remote control switching, so that manual operation is avoided, and safety is improved; the first three power supply switching cabinet and the second three power supply switching cabinet are further used for providing overload, short circuit and voltage loss protection functions, so that safety and stability are further improved.
The foregoing technical solutions of the embodiments of the present invention will be described in detail with reference to specific application examples, and reference may be made to the foregoing related description for details of the implementation process that are not described.
According to the technical scheme, the load characteristic of the power plant is combined, the distributed renewable energy source is safely and reasonably introduced to generate power through an intelligent control strategy, and the maximized local consumption of new energy sources is realized; matching with a distributed energy storage battery to realize the flexibility of a power plant distribution network; through the intelligent control of the intelligent three-switch cabinet (namely the first three-power supply switch cabinet and the second three-power supply switch cabinet), the actual power load of the power plant is used as a trigger point, and the safe and intelligent switch is realized from the economical point of view, so that the maximization of project benefit, the friendly power grid and the intelligent control are achieved.
In the embodiment of the invention, an optical storage micro-grid prefabricated cabin is constructed, and the whole system adopts a pure alternating current system architecture and comprises a photovoltaic power generation system (namely a photovoltaic power generation device) of about 143.55kWp, a 100kW/497kWh intelligent energy storage system and an energy management system (namely an energy storage device and a bidirectional converter). The three power supply switching cabinets are arranged to realize the switching of the photovoltaic and the energy storage among three grid-connected points respectively, so that the maximum consumption of the photovoltaic and the energy storage is ensured, and the photovoltaic power generation device adopts 290 495Wp monocrystalline silicon assemblies and is installed at the top of 3 dormitory buildings. The energy storage device adopts 4 clusters of 124.4kWh lithium iron phosphate batteries and is integrated in the high-protection prefabricated cabin.
In the embodiment of the invention, the commercial power transformer is a 1250kVA commercial power transformer, and the implementation peak-to-valley power price is shown in a table 1; the first factory electric transformer is a 2500kVA factory transformer, the second factory electric transformer is a 630kVA factory transformer, and one-port electricity price is 0.663 yuan/kWh.
| Peak to peak | Flat plate | Cereal grain | |
| Price of electricity | 0.9999 | 0.6474 | 0.2034 |
| Time period of | 9-11:30；14-16:30；19-21 | 7-9；11:30-14；16:30-19 | 23-7 |
Table 1 mains transformer peak Gu Dianjia
Photovoltaic switching main logic: the system has a load prediction function, and predicts the magnitude of the commercial power load as a main cause. When the photovoltaic predicted power generation capacity of the expected photovoltaic power generation device is smaller than the commercial power predicted load power consumption capacity of the commercial power transformer, the solar photovoltaic power generation is consumed under the 1250kVA commercial power transformer; when the expected photovoltaic predicted power generation amount is larger than the power consumption of the commercial power predicted load of the commercial power transformer, the photovoltaic power generation cannot be completely consumed by the load under the commercial power transformer, and the solar photovoltaic power generation device is switched to the in-plant transformer (namely, the first plant power transformer or the second plant power transformer) for consumption; according to the load prediction of 2500kVA factory transformer (first factory electric transformer) and 630kVA life transformer (second factory electric transformer), the power consumption of the factory electric predicted load is preferentially switched to be consumed by the party with larger power consumption.
Energy storage switching main logic: the energy storage is implemented according to a strategy of 'charge-discharge' every day, and the 1250kVA mains transformer side is the peak-valley electricity price, and the night low-valley electricity price is lower, so that the energy storage charging time period is ensured to be at the mains side (namely the mains transformer side). According to the predicted load of different transformers and the real-time electricity price, different transformers are selected to be cut in during energy storage and discharge, and the energy storage income is maximized.
As shown in fig. 3, a flowchart of another three-phase control method of a micro grid according to an embodiment of the present invention is first performed to predict a load, in which, for each transformer, for example, a mains transformer, for example, a 1250kVA transformer, and N plant transformers (in this embodiment, a first plant transformer, for example, a 2500kVA transformer, and a second plant transformer, for example, a 630kVA transformer) are predicted to obtain a predicted load electricity consumption of the mains, a predicted load electricity consumption of the first plant, and a predicted load electricity consumption of the second plant, and a predicted photovoltaic power generation amount of the photovoltaic power generator is predicted. Judging whether power failure occurs to each transformer, if so, generating a power failure report alarm, and waiting for the power failure to be processed. If no power failure occurs, a three-power supply switching cabinet is arranged for the photovoltaic power generation device and the energy storage device respectively, so that the photovoltaic power generation device is cut into one of the transformers, the energy storage device is also cut into one of the transformers, and the charging and discharging states of the energy storage device are set. Specifically, for the energy storage device, when the actual electricity price of the mains transformer is valley electricity price, cutting the energy storage device into the side of the mains transformer, setting the energy storage device into a charging state, otherwise, discharging the energy storage device for the currently cut-in transformer; when the predicted energy storage and discharge capacity of the energy storage device is larger than the predicted load power consumption of the commercial power and the predicted energy storage and discharge capacity is in a peak-time power price period, the energy storage device is cut into one transformer side with larger power consumption of the commercial power load in the first and second commercial power transformers, and the energy storage device is set to be in a discharge state, otherwise, the energy storage device discharges aiming at the commercial power transformer. Aiming at the photovoltaic power generation device, when the photovoltaic predicted power generation amount of the photovoltaic power generation device is smaller than or equal to the commercial power predicted load power consumption amount, the photovoltaic power generation device is cut into one side of a commercial power transformer, in the actual operation process, if the actual power generation amount of the photovoltaic power generation device is found to be larger than the actual commercial power load power consumption amount, surplus power is sent up, and if the actual power generation amount of the photovoltaic power generation device is smaller than or equal to the actual commercial power load power consumption amount, the photovoltaic power generation device is set to be full-power generation. When the photovoltaic predicted power generation amount of the photovoltaic power generation device is larger than the predicted load power consumption amount of the commercial power, the photovoltaic power generation device is switched to one transformer side with larger predicted load power consumption amount in the first power plant transformer and the second power plant transformer, and the photovoltaic power generation device is set to generate full power.
The embodiment of the invention has the following technical effects: the product form with high integration level provides a product-level solution for flexible interconnection and information panoramic interaction of multiple sources, loads and stored power for new energy micro-networks of power plants, realizes plug and play of various energy sources and loads, and saves the manufacturing cost of the system. The intelligent operation and management of the practical micro-grid is combined with the energy management system to realize steady-state economic operation and dynamic stable control, and a basic condition for commercial operation is provided for the consumption and utilization of distributed new energy and the ordered charge and discharge management of large-scale electric vehicles. The embodiment of the invention can solve the problems of distributed power supply access, renewable energy utilization, green traveling, user power quality requirements, disaster resistance of a power system, relationship with a smart grid and the like of the power plant system, achieves the purpose of maximizing local consumption of new energy, achieves the effects of maximizing benefit, friendly power grid and controlling intelligence, can realize the extension application of the system through the combination of different elements, and has wide application prospects in different scene requirements of the whole system of the power plant.
It should be understood that the specific order or hierarchy of steps in the processes disclosed are examples of exemplary approaches. Based on design preferences, it is understood that the specific order or hierarchy of steps in the processes may be rearranged without departing from the scope of the present disclosure. The accompanying method claims present elements of the various steps in a sample order, and are not meant to be limited to the specific order or hierarchy presented.
In the foregoing detailed description, various features are grouped together in a single embodiment for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments of the subject matter require more features than are expressly recited in each claim. Rather, as the following claims reflect, application lies in less than all features of a single disclosed embodiment. Thus the following claims are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate preferred embodiment of this application.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. As will be apparent to those skilled in the art; various modifications to these embodiments will be readily apparent, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description includes examples of one or more embodiments. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing the aforementioned embodiments, but one of ordinary skill in the art may recognize that many further combinations and permutations of various embodiments are possible. Accordingly, the embodiments described herein are intended to embrace all such alterations, modifications and variations that fall within the scope of the appended claims. Furthermore, as used in the specification or claims, the term "comprising" is intended to be inclusive in a manner similar to the term "comprising," as interpreted when employed as a transitional word in a claim. Furthermore, any use of the term "or" in the specification of the claims is intended to mean "non-exclusive or".
Those of skill in the art will further appreciate that the various illustrative logical blocks (illustrative logical block), units, and steps described in connection with the embodiments of the invention may be implemented by electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components (illustrative components), elements, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design requirements of the overall system. Those skilled in the art may implement the described functionality in varying ways for each particular application, but such implementation is not to be understood as beyond the scope of the embodiments of the present invention.
The various illustrative logical blocks or units described in the embodiments of the invention may be implemented or performed with a general purpose processor, a digital signal processor, an Application Specific Integrated Circuit (ASIC), a field programmable gate array or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described. A general purpose processor may be a microprocessor, but in the alternative, the general purpose processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. In an example, a storage medium may be coupled to the processor such that the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may reside in a user terminal. In the alternative, the processor and the storage medium may reside as distinct components in a user terminal.
In one or more exemplary designs, the above-described functions of embodiments of the present invention may be implemented in hardware, software, firmware, or any combination of the three. If implemented in software, the functions may be stored on a computer-readable medium or transmitted as one or more instructions or code on the computer-readable medium. Computer readable media includes both computer storage media and communication media that facilitate transfer of computer programs from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, such computer-readable media may include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that may be used to carry or store program code in the form of instructions or data structures and other data structures that may be read by a general or special purpose computer, or a general or special purpose processor. Further, any connection is properly termed a computer-readable medium, e.g., if the software is transmitted from a website, server, or other remote source via a coaxial cable, fiber optic cable, twisted pair, digital Subscriber Line (DSL), or wireless such as infrared, radio, and microwave, and is also included in the definition of computer-readable medium. The disks (disks) and disks (disks) include compact disks, laser disks, optical disks, DVDs, floppy disks, and blu-ray discs where disks usually reproduce data magnetically, while disks usually reproduce data optically with lasers. Combinations of the above may also be included within the computer-readable media.
The foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the invention, and is not meant to limit the scope of the invention, but to limit the invention to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (6)
1. A micro-grid three-phase control method, characterized in that the micro-grid comprises: a mains transformer, N plant transformers, a photovoltaic power generation device and an energy storage device, the method comprising:
predicting the electricity consumption of the mains supply transformer in a specified first time period to obtain the electricity consumption of a mains supply predicted load;
predicting the electricity consumption of the N power plant transformers in the first time period to obtain the electricity consumption of each power plant transformer in the power plant prediction load;
predicting the photovoltaic power generation amount of the photovoltaic power generation device in the first time period to obtain photovoltaic predicted power generation amount;
if the photovoltaic predicted power generation amount is smaller than or equal to the commercial power predicted load power consumption amount, setting a transformer which is selectively cut in by the photovoltaic power generation device as the commercial power transformer;
If the photovoltaic predicted power generation amount is larger than the commercial power predicted load power consumption amount, setting the transformer which is selectively cut in by the photovoltaic power generation device as one of the N power plant transformers, wherein the power plant predicted load power consumption amount has the largest numerical value;
if the current actual electricity price of the mains supply transformer is the valley time electricity price, setting the transformer which is selectively cut in by the energy storage device as the mains supply transformer and setting the energy storage device into a charging state;
if the current actual electricity price of the commercial power transformer is the peak-time electricity price, setting the energy storage device to select a cut-in transformer and setting the energy storage device to be in a discharge state according to the power consumption of the commercial power predicted load and the power consumption of the plant power predicted loads of the N plant power transformers;
the step of setting the energy storage device to select the cut-in transformer and setting the energy storage device to be in a discharge state according to the electric power consumption of the commercial power predicted load and the electric power consumption of the plant power predicted load of each of the N plant power transformers, comprising:
predicting the discharge capacity of the energy storage device to obtain the predicted discharge capacity of the energy storage;
if the energy storage predicted discharge capacity is larger than the electric consumption of the commercial power predicted load, setting the transformer which is cut in by the energy storage device as one of the N power plant transformers with the largest power consumption value of the power plant predicted load, setting the energy storage device as a power plant predicted load curve corresponding to the power plant transformer which is cut in by the energy storage device for discharging, otherwise, cutting the energy storage device into the commercial power transformer and setting the energy storage device as a power plant predicted load curve for discharging the commercial power transformer;
The utility power prediction load curve is established according to the collected power consumption of the utility power transformer by collecting the power consumption of the utility power transformer in a specified first historical time period; the power consumption of the N power transformers in a specified second historical time period is respectively acquired through the power consumption prediction load curves corresponding to the power transformers, and the power consumption of the power transformers is respectively established according to the acquired power consumption of the power transformers;
wherein N is a positive integer greater than or equal to 1.
2. The micro grid three-cut control method according to claim 1, further comprising, after the setting the transformer that the photovoltaic power generation device selectively cuts into as the utility power transformer if the photovoltaic power generation amount is less than or equal to the utility power predicted load power consumption amount:
if the actual power generation amount of the photovoltaic power generation device is smaller than or equal to the actual load power consumption amount of the commercial power transformer, setting the running state of the photovoltaic power generation device to be a full-power generation state; otherwise, the residual electric quantity of the photovoltaic power generation device is sent to a public power grid.
3. The micro grid three-cut control method according to claim 1, wherein after the step of setting the transformer selectively cut in by the photovoltaic power generation device as one of the N plant transformers having the largest plant predicted load power consumption value if the photovoltaic predicted power generation amount is larger than the utility predicted load power consumption amount, further comprises:
And setting the operation state of the photovoltaic power generation device to be a full-power generation state.
4. The micro-grid three-phase control method according to claim 1, wherein the predicting the power consumption of the utility power transformer in the specified first time period to obtain the power consumption of the utility power predicted load specifically comprises:
and obtaining the power consumption of the commercial power predictive load in the first time period according to the commercial power predictive load curve.
5. The method for controlling three-phase switching of a micro-grid according to claim 4, wherein predicting the power consumption of the N power transformers in the first time period to obtain the power consumption of each power transformer in the power plant prediction load specifically comprises:
and obtaining the power consumption of the power plant predictive load of each power plant transformer in the first time period according to the power plant predictive load curve.
6. The micro grid three-phase control method according to claim 1, wherein the N plant-power transformers include: a first factory electrical transformer and a second factory electrical transformer; wherein n=2;
the microgrid further comprises: the first three-power supply switching cabinet and the second three-power supply switching cabinet;
The photovoltaic power generation device is electrically connected with one or more of a mains transformer, a first factory power transformer or a second factory power transformer through the first power supply switching cabinet;
the energy storage device is electrically connected with one or more of a mains transformer, a first factory transformer or a second factory transformer through the second third power supply switching cabinet;
the transformer for selectively switching in the photovoltaic power generation device is set as the mains supply transformer, and specifically comprises the following components:
controlling the first third power supply switching cabinet to electrically connect the photovoltaic power generation device to the mains transformer;
the step of setting the transformer selectively cut into by the photovoltaic power generation device as one of the N power plant transformers with the largest power consumption value of the power plant predictive load, specifically comprises the following steps:
controlling the first third power supply switching cabinet to electrically connect the photovoltaic power generation device with one of the first and second power supply transformers, wherein the power consumption value of the power supply predicted load is the largest;
the transformer for selectively switching in the energy storage device is set as the mains supply transformer, specifically:
controlling the second third power supply switching cabinet to electrically connect the energy storage device to the mains transformer;
The step of setting the energy storage device to select the cut-in transformer according to the power consumption of the commercial power predicted load and the power consumption of the power plant predicted load of each of the N power plant transformers specifically comprises the following steps:
and controlling a second third power supply switching cabinet to electrically connect the energy storage device to one of the first power plant transformer and the second power plant transformer according to the power consumption of the commercial power predicted load, the power consumption of the power plant predicted load of the first power plant transformer and the power consumption of the power plant predicted load of the second power plant transformer.
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| CN109217364A (en) * | 2018-09-10 | 2019-01-15 | 国网冀北电力有限公司张家口供电公司 | Photovoltaic-stored energy capacitance of large-scale distributed power supply consumption distributes strategy rationally |
| CN110112783A (en) * | 2019-05-23 | 2019-08-09 | 深圳市建筑科学研究院股份有限公司 | Photovoltaic storage battery micro-capacitance sensor dispatch control method |
| CN112907030A (en) * | 2021-01-20 | 2021-06-04 | 国网山东省电力公司寿光市供电公司 | Energy center configuration method and system considering demand side response |
| CN112952847A (en) * | 2021-04-06 | 2021-06-11 | 合肥工业大学 | Multi-region active power distribution system peak regulation optimization method considering electricity demand elasticity |
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