CN115483694B - Power energy-saving dispatching system based on distributed power grid data - Google Patents
Power energy-saving dispatching system based on distributed power grid data Download PDFInfo
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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
- H02J15/00—Systems for storing electric energy
- H02J15/008—Systems for storing electric energy using hydrogen as energy vector
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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
- H02J3/28—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
- 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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- 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
- H02J2300/28—The renewable source being wind 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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/30—The power source being a fuel cell
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Abstract
The invention relates to the technical field of distributed power grids, and particularly discloses an electric power energy-saving dispatching system based on distributed power grid data, wherein the system comprises a new energy source, an energy storage device, a hydrogen fuel cell and a power supply; the energy storage device comprises a storage battery pack and an electrolytic tank pack; the system further comprises: the new energy electric energy prediction module is used for predicting the power supply power of the new energy power supply; the power load prediction module is used for predicting the power load of the power supply area; the scheduling module is used for acquiring energy storage strategies of the storage battery pack and the electrolytic tank pack according to the prediction result of the new energy electric energy prediction module and the prediction result of the electric load prediction module; when the energy storage power cannot meet the working requirement of the electrolytic cell group, the energy storage can be carried out through the storage battery group, so that the electrolytic cell group is kept at the optimal power, and the energy conservation and the stability of the energy storage of the system are realized.
Description
Technical Field
The invention relates to the technical field of distributed power grids, in particular to an electric power energy-saving dispatching system based on distributed power grid data.
Background
The distributed power supply is realized by arranging a small-scale power generation system near a user, and supplying power through an internal combustion engine of liquid or gas fuel, a micro gas turbine, various engineering fuel cells and a new energy source power supply, so that the mutually independent operation of each power station is realized; the power supply mode is suitable for users in remote areas or scattered areas where the power grid is not suitable to be paved, long-distance power transmission and distribution equipment is not needed, the power transmission loss is obviously reduced, and the operation is safe and reliable.
The power generation technology of fossil energy is more mature and has higher efficiency, so the existing distributed power supply mode mainly takes the power generation technology of fossil energy as the main part; with the rapid development of new energy technology, the application of various new energy power supplies such as photovoltaic power generation, wind power generation, biogas power generation and the like changes a distributed power supply mode of single traditional fossil energy.
Meanwhile, as the new energy is easily influenced by environmental factors, the energy storage regulation is required to be carried out on the energy, so that the stable operation of the energy is ensured; the traditional energy storage mode is mainly regulated by a storage battery pack, and along with the development of a hydrogen energy storage technology and the improvement of a hydrogen fuel cell technology, the hydrogen production and energy storage mode is carried out by an electrolysis water tank, so that the energy storage regulation process can be realized, and the influence on the environment in the preparation process is small; however, the electrolysis water tank can stably run only under the condition of meeting the minimum working power, and the low-power input not only can not realize the electric energy waste caused by the hydrogen production process, but also can easily influence the service life of the electrolysis water tank; meanwhile, the hydrogen production of the electrolytic water tank is a continuous process, so that the repeated opening and closing of the electrolytic water tank can also cause the service life attenuation and the electric energy waste.
Disclosure of Invention
The invention aims to provide an electric power energy-saving dispatching system based on distributed power grid data, which solves the following technical problems:
how to realize the energy conservation and the stability of the energy storage of the system.
The aim of the invention can be achieved by the following technical scheme:
the power energy-saving dispatching system based on the distributed power grid data comprises a new energy source, an energy storage device, a hydrogen fuel cell and a power supply; the energy storage device comprises a storage battery pack and an electrolytic tank pack; the system further comprises:
the new energy electric energy prediction module is used for predicting the power supply power of the new energy power supply;
the power load prediction module is used for predicting the power load of the power supply area;
and the scheduling module is used for acquiring the energy storage strategies of the storage battery pack and the electrolytic tank pack according to the prediction result of the new energy electric energy prediction module and the prediction result of the electric load prediction module.
In an embodiment, the energy storage strategy obtaining process is:
a new energy electric energy prediction module predicts and acquires a time-dependent change curve E (t) of the generated power of the new energy power supply;
predicting and acquiring a power load power change curve L (t) of a power supply area along with time by using a power load prediction module;
when E (t) > L (t), calculating a Storage electric energy curve Storage (t) by Storage (t) =E (t) -L (t), and combining the Storage (t) with a set value S set And (3) performing comparison:
when Storage (t) > S set During the process, hydrogen production and energy storage are carried out through the electrolytic tank group, and electric power regulation is carried out through the storage battery group;
when Storage (t) is less than or equal to S set And during the process, energy is stored through the storage battery pack.
In one embodiment, when Storage (t) > S set When (1):
according to the formula
Calculating recommended opening quantity x of the electrolytic cell group;
by the formula
Calculating the lowest opening y of the electrolytic cell group;
comparing x with y:
if x is larger than y, controlling the opening quantity N=x of the electrolytic cell group;
if x is less than or equal to y, controlling the opening quantity N=y of the electrolytic cell group;
wherein Storage (t) 1 )＝S set ，Storage(t 2 )＝S set And t 2 ＞t 1 The method comprises the steps of carrying out a first treatment on the surface of the q (t) is a threshold function linearly related to t; p (P) max Maximum for a single cell stackA power; []To round the symbol.
In one embodiment, the opening process of the N electrolytic cell groups is as follows:
by the formula
Calculating the opening number z of the electrolytic cell group at the current time point, and opening the electrolytic cell group according to the z value corresponding to the time point until z=N;
wherein P is min Minimum power for stable operation of a single cell stack.
In one embodiment, when E (t) < L (t), power is supplied by the power supply and the hydrogen fuel cell, and the power supply strategy of the power supply and the hydrogen fuel cell is adjusted according to E (t) and L (t) of the next period.
In one embodiment, the power supply strategy is:
by the formula
Calculating a stored power supply value Q of the next period;
by the formula
Calculating a required power supply value F of the next period;
compare Q with F:
if Q is equal to or greater than F, preferentially using a hydrogen fuel cell to supply power;
otherwise, the power is supplied by the power supply and the hydrogen fuel cell at the same time, and the hydrogen fuel with a specific proportion is stored;
wherein t is 3 The end time point of the power supply period; μ is the electrical energy conversion efficiency.
In one embodiment, the specific ratio r=f r (F-Q*μ)；
Wherein f r () Is a preset positive correlation linear function.
In one embodiment, the system further comprises a load monitoring and checking module;
the load monitoring and checking module is used for monitoring the new grid-connected load and performing grid-connected control according to the required power supply power, the category information, the current new energy power supply output power and the current load power of the new grid-connected load.
In one embodiment, the grid-connected control process is as follows:
will require power supply P d And set power threshold P th And (3) performing comparison:
if P d ＞P th Judging the power supply priority according to the category information:
if the priority is more than or equal to the preset level, the load is connected with the grid;
if the priority is less than the preset level, judging whether grid connection is performed according to the output power of the previous new energy power supply and the current load power;
if P d ≤P th And (5) carrying out grid connection on the load.
The invention has the beneficial effects that:
(1) According to the invention, a proper energy storage strategy is selected according to the predicted power state, when the energy storage power cannot meet the operation of the electrolytic cell group, the energy storage can be performed through the storage battery, when the energy storage power meets the operation of the electrolytic cell group, the energy storage is performed through the electrolytic cell group, and meanwhile, the power is adjusted when the electrolytic cell group is operated through the storage battery, so that the electrolytic cell group is kept at the optimal power, the hydrogen production efficiency is ensured, the waste of electric energy is reduced, and the energy conservation and the stability of the energy storage of the system are realized.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of an electric power energy-saving dispatching system based on distributed power grid data.
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.
Referring to fig. 1, in one embodiment, a power saving dispatching system based on distributed grid data is provided, the system including a new energy source, an energy storage device, a hydrogen fuel cell and a power supply; the energy storage device comprises a storage battery pack and an electrolytic tank pack; the system further comprises:
the new energy electric energy prediction module is used for predicting the power supply power of the new energy power supply;
the power load prediction module is used for predicting the power load of the power supply area;
and the scheduling module is used for acquiring the energy storage strategies of the storage battery pack and the electrolytic tank pack according to the prediction result of the new energy electric energy prediction module and the prediction result of the electric load prediction module.
Through the technical scheme, the power supply power of the new energy power supply is predicted through the new energy power prediction module, the power load of the power supply area is predicted through the power load prediction module, and then a proper energy storage strategy can be selected according to the predicted power state, and the energy storage strategy is realized through the storage battery pack and the electrolytic cell pack, so that when the energy storage power cannot meet the operation of the electrolytic cell pack, the energy can be stored through the storage battery pack, when the energy storage power meets the operation of the electrolytic cell pack, the energy can be stored through the electrolytic cell pack, and meanwhile, the power of the electrolytic cell pack is regulated when the electrolytic cell pack is operated through the storage battery pack, so that the electrolytic cell pack is kept at the optimal power, the hydrogen production efficiency is ensured, the waste of the power is reduced, and the energy saving property and the stability of the energy storage of the system are realized.
In the technical scheme, the distributed power supply is realized through the new energy power supply, the energy storage device, the hydrogen fuel cell and the power supply, wherein the new energy power supply can be a photovoltaic power supply, a methane power supply, a wind power supply and the like, the energy storage device comprises a storage battery pack and an electrolytic cell pack, the hydrogen fuel cell can convert stored hydrogen energy into electric energy when the output power of the new energy power supply is low, the power supply is a traditional fossil fuel power supply, and the stability of integral power supply is ensured when the new energy power supply fluctuates due to the influence of the environment; in the above-mentioned scheme, the ac-dc conversion process is implemented by an existing converter, which is not described in detail herein.
In addition, it should be noted that, the prediction of the power supply by the new energy electric energy prediction module is respectively predicted and obtained through statistical analysis according to different types of new energy, and the prediction modes of different new energy can be realized by obtaining environmental parameters and combining with the existing prediction model, for example, the photovoltaic power supply can be obtained by taking parameters such as illumination time, illumination intensity, environmental temperature, longitude and latitude of the region where the photovoltaic power supply is located into the analysis model, and the details are not described herein; the prediction of the electric load by the electric load prediction module may be performed by building a machine learning model and training the data of the region as a sample to obtain a prediction result, which may be obtained by the prior art, and will not be described in detail herein.
As an embodiment of the present invention, the energy storage strategy obtaining process is:
a new energy electric energy prediction module predicts and acquires a time-dependent change curve E (t) of the generated power of the new energy power supply;
predicting and acquiring a power load power change curve L (t) of a power supply area along with time by using a power load prediction module;
when E (t) > L (t), calculating a Storage electric energy curve Storage (t) by Storage (t) =E (t) -L (t), and combining the Storage (t) with a set value S set And (3) performing comparison:
when Storage (t) > S set During the process, hydrogen production and energy storage are carried out through the electrolytic tank group, and electric power regulation is carried out through the storage battery group;
when Storage (t) is less than or equal to S set And during the process, energy is stored through the storage battery pack.
By the above technical solution, by obtaining the time-dependent power generation power curve E (t) and the time-dependent power load curve L (t), it is obvious that energy Storage is required when E (t) > L (t), so that the energy Storage electric energy curve is obtained by storing (t) =e (t) -L (t), and storing (t) and the set value S set Comparing, wherein the set value S set Determined by the lowest operating power of the individual cell groups, thus when Storage (t) > S set When the hydrogen production and the energy Storage are carried out through the electrolytic tank group, and the electric power regulation is carried out through the Storage battery group, when the Storage (t) is less than or equal to S set In this case, energy is stored by the battery pack, and thus stored by Storage (t) and S set The corresponding energy storage strategy can be determined in the comparison process, and the stable energy-saving operation of the electrolytic tank group is ensured.
S is the same as that of S set Determined by the lowest operating power of the individual cell groups, but not the same, S set A standard deviation magnitude greater than the minimum operating power value of the individual cell stack, the standard deviation magnitude being selectively set based on historical power data, the standard deviation magnitude being less than the minimum operating power value of the individual cell stack; t is the time point.
As one embodiment of the present invention, when Storage (t) > S set When (1):
according to the formula
Calculating recommended opening quantity x of the electrolytic cell group;
by the formula
Calculating the lowest opening y of the electrolytic cell group;
comparing x with y:
if x is larger than y, controlling the opening quantity N=x of the electrolytic cell group;
if x is less than or equal to y, controlling the opening quantity N=y of the electrolytic cell group;
wherein Storage (t) 1 )＝S set ，Storage(t 2 )＝S set And t 2 ＞t 1 The method comprises the steps of carrying out a first treatment on the surface of the q (t) is a threshold function linearly related to t; p (P) max Maximum power for a single cell stack; []To round the symbol.
Through the above technical solution, the present embodiment provides a method for determining the number of open electrolytic cells, specifically, according to the following method
Calculating the pushing of the electrolytic cell groupThe opening amount x is referred to, wherein q (t) is a threshold function linearly related to t, and is obtained according to historical data setting, so that the stored electric energy curve is used for the time t 1 ～t 2 Interval integration is performed and q (t) 2 )-q(t 1 ) Further obtaining a recommended opening amount x; at the same time, by the formula->
Calculating the minimum opening y of the electrolyzer unit, wherein max (Storage (t)) represents the peak value of the stored electric energy curve, P max Maximum power for a single cell stack []To round the symbol, thus by +.>
Furthermore, the lowest opening amount y can be obtained, and obviously, when x is more than y, the opening amount N=x of the electrolytic cell group is controlled, and when x is less than or equal to y, the opening amount N=y of the electrolytic cell group is controlled; therefore, through the scheme, the optimal number of the opened electrolytic cell groups can be accurately selected, so that stable operation of the electrolytic cell groups is met, and meanwhile, the electric energy generated by the new energy power supply can be fully stored.
When the minimum opening amount y is determined, redundant electric energy can be stored through the storage battery pack when a remainder exists in the calculation formula; the recommended opening amount x formula is obtained according to historical data fitting.
As one embodiment of the present invention, the opening process of the N electrolytic cell groups is as follows:
by the formula
Calculating the opening number z of the electrolytic cell group at the current time point, and opening the electrolytic cell group according to the z value corresponding to the time point until z=N;
wherein P is min Minimum power for stable operation of a single cell stack.
Through the technical scheme, the embodiment provides the opening mode of the N electrolytic cell groups, specifically, the mode is shown as the following formula
Calculating the opening number z of the electrolytic cell group at the current time point, thereby reaching S set When the electrolytic cell group is started, 1 group of electrolytic cell groups are started, and along with the increase of Storage (t), N groups of electrolytic cell groups are sequentially started, so that the stability of power supply quality in the starting process of the electrolytic cell groups is ensured, the waste of electric energy is reduced, and the service life of the electrolytic cell groups is prolonged.
In one embodiment of the present invention, when E (t) < L (t), power is supplied by the power supply and the hydrogen fuel cell, and the power supply strategy of the power supply and the hydrogen fuel cell is adjusted according to E (t) and L (t) of the next cycle.
Through the technical scheme, when E (t) is less than L (t), power is supplied through the power supply and the hydrogen fuel cell, wherein the hydrogen fuel cell takes hydrogen prepared by the electrolytic cell group as energy, and the power supply adjusting effect of the new energy power supply is further realized; meanwhile, in the embodiment, the power supply strategy of the power supply and the hydrogen fuel cell is adjusted according to E (t) and L (t) of the next period, and the optimal power supply strategy is adopted according to the expectation of the next period so as to provide sufficient standby electric energy for the power supply when the power supply efficiency of the new energy power supply is low.
As an embodiment of the present invention, the power supply strategy is:
by the formula
Calculating a stored power supply value Q of the next period;
by the formula
Calculating a required power supply value F of the next period;
compare Q with F:
if Q is equal to or greater than F, preferentially using a hydrogen fuel cell to supply power;
otherwise, the power is supplied by the power supply and the hydrogen fuel cell at the same time, and the hydrogen fuel with a specific proportion is stored;
wherein t is 3 The end time point of the power supply period; μ is the electrical energy conversion efficiency.
Through the above technical solution, the present embodiment provides a power supply strategy, specifically, through the formula
Calculating a stored power supply value Q of the next period; by the formula->
Calculating a required power supply value F of the next period; and comparing Q with F, it is obvious that when Q is larger than or equal to F, the storable electric energy in the next period electricity storage section can fully supply the load in the non-storage section, therefore, the hydrogen fuel cell is preferentially used at this time to provide the energy storage space for the next period, and when Q is smaller than F, the power supply source and the hydrogen fuel cell are used for supplying power and storing hydrogen fuel in a specific proportion, so that partial energy sources can be reserved, and sufficient standby electric energy is provided when the power supply source is used for supplying power.
It should be noted that, the stored power supply value Q and the required power supply value F only represent the power storage condition and the load required power supply condition in one power supply interval; μ is the electrical energy conversion efficiency, determined by the performance of the electrolysis cell and the hydrogen fuel cell.
As an embodiment of the present invention, the specific ratio r=f r (F-Q*μ)；
Wherein f r () Is a preset positive correlation linear function.
By the above technical scheme, the specific ratio r=f in the present embodiment r (F-Q. Mu.) wherein F r () The different proportion ranges are preset for the preset positive correlation linear function according to the magnitude of the difference value between F and Q, so that the corresponding proportion can be obtained through F-Q.
F is the same as that of the above r () The setting of (2) is dependent on the capacity of the hydrogen storage in the system, so that its setting is determined by the capacity of the reference hydrogen storage and the magnitude of F-Q mu.
As an embodiment of the present invention, the system further includes a load monitoring and checking module;
the load monitoring and checking module is used for monitoring the new grid-connected load and performing grid-connected control according to the required power supply power, the category information, the current new energy power supply output power and the current load power of the new grid-connected load.
Through the technical scheme, the load monitoring and checking module is further arranged in the system, can monitor the new grid-connected load and performs grid-connected control according to the required power supply power, the category information, the current new energy power supply output power and the current load power of the new grid-connected load, so that adverse effects on the whole system caused by a large load in the distributed power supply system can be avoided through the arrangement of the load monitoring and checking module, and the running stability of the distributed power supply system can be further ensured.
It should be noted that, the load monitoring and checking module obtains the new grid-connected load power and the category information through the electric energy detection device in the prior art; meanwhile, the grid connection control can be realized through a sensor switch arranged at a wiring port, and the details are not described herein.
As one embodiment of the present invention, the process of grid-connected control is:
will require power supply P d And set power threshold P th And (3) performing comparison:
if P d ＞P th Judging the power supply priority according to the category information:
if the priority is more than or equal to the preset level, the load is connected with the grid;
if the priority is less than the preset level, judging whether grid connection is performed according to the output power of the previous new energy power supply and the current load power;
if P d ≤P th And (5) carrying out grid connection on the load.
Through the above technical solution, the present embodiment provides a method for grid-connected control, specifically, firstly, the required power P is used for power supply d And set power threshold P th Comparing, if P d ＞P th If the description load is large, the power supply priority is determined based on the category information, and ifIf the priority is more than or equal to the preset level, the load is connected with the grid, so that higher-priority electric energy supply is ensured, for example, in places such as hospitals, if the priority is less than the preset level, whether the load is connected with the grid is judged according to the output power of the previous new energy power supply and the current load power, and if P is the same d ≤P th The method has the advantages that the load is smaller, so that the load is directly connected with the grid, the verification of the large load can be realized through the grid connection control method, the influence of the large load on the stability of the distributed power grid is avoided, the load with higher priority is guaranteed to be timely supplied, and the stability of the whole operation is guaranteed.
It should be noted that, in the process of judging the power supply priority according to the category information, the priority is judged by comparing the category information with a preset condition, and the preset level is also selected according to the division of the priority, which is not described in detail herein; in addition, when the priority is less than the preset level, judging whether to grid according to the current new energy power supply output power and the current load power, judging through comparing the difference value of the current new energy power supply output power and the current load power with the magnitude of the incorporated load, obviously, when the load requirement is met and the electrolytic tank group is not influenced, grid connection is carried out on the load, otherwise, grid connection is not carried out.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (6)
1. The power energy-saving dispatching system based on the distributed power grid data is characterized by comprising a new energy source, an energy storage device, a hydrogen fuel cell and a power supply; the energy storage device comprises a storage battery pack and an electrolytic tank pack; the system further comprises:
the new energy electric energy prediction module is used for predicting the power supply power of the new energy power supply;
the power load prediction module is used for predicting the power load of the power supply area;
the scheduling module is used for acquiring energy storage strategies of the storage battery pack and the electrolytic tank pack according to the prediction result of the new energy electric energy prediction module and the prediction result of the electric load prediction module;
the energy storage strategy is obtained through the following steps:
a new energy electric energy prediction module predicts and acquires a time-dependent change curve E (t) of the generated power of the new energy power supply;
predicting and acquiring a power load power change curve L (t) of a power supply area along with time by using a power load prediction module;
when E (t) > L (t), calculating a Storage electric energy curve Storage (t) by Storage (t) =E (t) -L (t), and combining the Storage (t) with a set value S set And (3) performing comparison:
when Storage (t) > S set During the process, hydrogen production and energy storage are carried out through the electrolytic tank group, and electric power regulation is carried out through the storage battery group;
when Storage (t) is less than or equal to S set During the process, energy is stored through the storage battery pack;
when Storage (t) > S set When (1):
according to the formula
Calculating recommended opening quantity x of the electrolytic cell group;
by the formula
Calculating the lowest opening y of the electrolytic cell group;
comparing x with y:
if x is larger than y, controlling the opening quantity N=x of the electrolytic cell group;
if x is less than or equal to y, controlling the opening quantity N=y of the electrolytic cell group;
wherein Storage (t) 1 )＝S set ，Storage(t 2 )＝S set And t 2 ＞t 1 The method comprises the steps of carrying out a first treatment on the surface of the q (t) is a threshold function linearly related to t; p (P) mdx Maximum power for a single cell stack; []Is a rounding symbol; s is S set From a single cell stackDetermining the lowest working power;
the opening process of the N electrolytic cell groups comprises the following steps:
by the formula
Calculating the opening number z of the electrolytic cell group at the current time point, and opening the electrolytic cell group according to the z value corresponding to the time point until z=N;
wherein P is min Minimum power for stable operation of a single cell stack.
2. The distributed grid data based power conservation scheduling system of claim 1 wherein when E (t) < L (t), power is supplied by the power supply and hydrogen fuel cell, and the power supply strategy of the power supply and hydrogen fuel cell is adjusted according to E (t) and L (t) for the next cycle.
3. The distributed grid data based power conservation scheduling system of claim 2 wherein the power supply strategy is:
by the formula
Calculating a stored power supply value Q of the next period;
by the formula
Calculating a required power supply value F of the next period;
compare Q with F:
if Q is equal to or greater than F, preferentially using a hydrogen fuel cell to supply power;
otherwise, the power is supplied by the power supply and the hydrogen fuel cell at the same time, and the hydrogen fuel with a specific proportion is stored;
wherein t is 3 The end time point of the power supply period; μ is the electrical energy conversion efficiency.
4. According to claimA distributed grid data based power conservation scheduling system as claimed in claim 3, wherein the specific ratio r=f r (F-Q*μ)；
Wherein f r () Is a preset positive correlation linear function.
5. The distributed grid data based power conservation scheduling system of claim 1, further comprising a load monitoring verification module;
the load monitoring and checking module is used for monitoring the new grid-connected load and performing grid-connected control according to the required power supply power, the category information, the current new energy power supply output power and the current load power of the new grid-connected load.
6. The distributed power grid data based power saving scheduling system of claim 5, wherein the grid-connected control process is as follows:
will require power supply P d And set power threshold P th And (3) performing comparison:
if P d ＞P th Judging the power supply priority according to the category information:
if the priority is more than or equal to the preset level, the load is connected with the grid;
if the priority is less than the preset level, judging whether grid connection is performed according to the output power of the previous new energy power supply and the current load power;
if P d ≤P th And (5) carrying out grid connection on the load.
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