CN115764986A - Intelligent ammeter applied to distributed photovoltaic power station and comprehensive scheduling method - Google Patents
Intelligent ammeter applied to distributed photovoltaic power station and comprehensive scheduling method Download PDFInfo
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- CN115764986A CN115764986A CN202211363235.8A CN202211363235A CN115764986A CN 115764986 A CN115764986 A CN 115764986A CN 202211363235 A CN202211363235 A CN 202211363235A CN 115764986 A CN115764986 A CN 115764986A
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Abstract
The invention relates to an intelligent ammeter applied to a distributed photovoltaic power station and a comprehensive scheduling method, wherein the intelligent ammeter comprises an energy storage battery electric quantity detection module, a communication module, a first electric energy metering module, a second electric energy metering module, a processor module and an output module, wherein the communication module is used for communication between the distributed photovoltaic power station and a scheduling server; the energy storage battery electric quantity detection module is used for detecting the residual electric quantity of the energy storage battery; the first electric energy metering module is used for metering first electric quantity charged to the energy storage battery by the power grid; the second electric energy metering module is used for metering second electric quantity which is generated by photovoltaic panels of the distributed photovoltaic power station directly and is connected to a power grid; the processor module controls the output module; the output module is used for controlling the energy storage battery to charge or discharge to the power grid. The invention can be suitable for the power supply safety of the power grid with large distributed photovoltaic power generation, and the power supply safety and the power dispatching reliability of the power grid are improved.
Description
Technical Field
The invention relates to the technical field of power grids, in particular to an intelligent electric meter applied to a distributed photovoltaic power station and a comprehensive scheduling method.
Background
Photovoltaic power generation is used as an important clean energy source and is more and more widely applied in the field of electric power. Due to the characteristics of photovoltaic power generation, the power generation capacity of the power stations is unstable, and the large-scale application of the photovoltaic power stations easily causes safety influence on the power supply safety of a power grid, so that the application proportion of the photovoltaic power stations in the power grid system is smaller at present. With the promotion of new energy power generation construction in various places, the large-scale construction of distributed photovoltaic power stations inevitably causes the increase of the photovoltaic power supply proportion. Distributed photovoltaic plants generally refer to power generation systems deployed in the vicinity of users, with small installed scales, using decentralized resources, which are typically connected to a grid with voltage levels below 35 kv or lower. The distributed photovoltaic power station refers in particular to a distributed photovoltaic power station system which adopts photovoltaic components and directly converts solar energy into electric energy. Along with the increase of distributed photovoltaic power stations, the proportion of thermal power, hydroelectric power and nuclear power generation in the main network power supply is reduced, and higher requirements are provided for power grid power supply safety. The method mainly includes that power dispatching needs accurate load prediction as a decision basis, a power generation power dispatching department of distributed power generation cannot master the load prediction, and the load prediction is greatly influenced by meteorological conditions, so that certain difficulty is caused to the power dispatching.
Disclosure of Invention
The invention aims to provide an intelligent ammeter applied to a distributed photovoltaic power station and a comprehensive scheduling method.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions:
the smart electric meter is applied to a power grid system, the power grid system comprises a scheduling server and a plurality of distributed photovoltaic power stations, each distributed photovoltaic power station comprises an energy storage battery, the smart electric meter comprises an energy storage battery electric quantity detection module, a communication module, a first electric energy metering module, a second electric energy metering module, a processor module and an output module, and the communication module is used for communication between each distributed photovoltaic power station and the scheduling server; the energy storage battery electric quantity detection module is used for detecting the residual electric quantity of the energy storage battery; the first electric energy metering module is used for metering first electric quantity charged to the energy storage battery by the power grid; the second electric energy metering module is used for metering second electric quantity which is directly generated by a photovoltaic panel of the distributed photovoltaic power station and is connected to a power grid; the processor module is used for calculating the electricity price according to the first electric quantity and the second electric quantity and controlling the output module according to the instruction received by the communication module; the output module is used for controlling the energy storage battery to charge or discharge to the power grid.
On the other hand, the invention provides a comprehensive scheduling method, which is applied to a power grid system, wherein the power grid system comprises a scheduling server and a plurality of distributed photovoltaic power stations, each distributed photovoltaic power station comprises an energy storage battery and an intelligent ammeter, and the comprehensive scheduling method comprises the following steps:
the scheduling server obtains the residual electric quantity of the energy storage battery through the intelligent ammeter;
the scheduling server obtains power grid real-time power utilization data and main grid scheduling electric quantity information, calculates a difference value between total power utilization power of a user and total power supply power of a power grid according to the power grid real-time power utilization data and the main grid scheduling electric quantity information, and sends a discharging instruction to the intelligent ammeter according to the residual electric quantity of the energy storage battery when the difference value is within a set threshold value so as to convert the electric energy of the energy storage battery into electric energy matched with the power grid and connect the electric energy to the power grid; and when the difference value is a negative value, the scheduling server sends a charging instruction to the corresponding intelligent ammeter according to the residual electric quantity of the energy storage battery so as to store the redundant electric quantity of the power grid into the energy storage battery.
In a preferred embodiment, the step of sending the discharge instruction to the smart meter by the scheduling server according to the remaining capacity of the energy storage battery includes:
the dispatching server sequences the residual electric quantity of the energy storage batteries of all distributed photovoltaic power stations from large to small, and uses a 1 、a 2 、a 3 ......a n Denotes that n is the number of distributed photovoltaic power stations, a n For the residual capacity of the energy storage battery of the nth distributed photovoltaic power station, the corresponding maximum discharge power of the energy storage battery is represented as b 1 、b 2 、b 3 ......b n ，b n Starting from the maximum value of the residual electric quantity of the energy storage battery for the maximum discharge power of the energy storage battery of the nth distributed photovoltaic power station if b is 1 +b 2 +......b m-1 < Δ, but b 1 +b 2 +......b m >And delta, the scheduling server sends a discharging instruction to the smart electric meters of the first to mth distributed photovoltaic power stations, wherein n and m are integers larger than 1.
In a preferred embodiment, the step of sending the charging instruction to the corresponding smart meter by the scheduling server according to the remaining capacity of the energy storage battery includes:
the dispatching server sorts the residual electric quantity of the energy storage batteries of all the distributed photovoltaic power stations from large to small by using a 1 、a 2 、a 3 ......a n Denotes that n is distributed photovoltaic powerNumber of stations, a n For the residual capacity of the energy storage battery of the nth distributed photovoltaic power station, the corresponding maximum charging power of the energy storage battery is represented as c 1 、c 2 、c 3 ......c n ，c n Starting from the minimum value of the residual electric quantity of the energy storage battery for the maximum charging power of the energy storage battery of the nth distributed photovoltaic power station if c n +c n-1 +......c p <Δ, but c n +c n-1 +......c p-1 If the current value is more than delta, the scheduling server sends a charging instruction to the intelligent electric meters of the nth to the pth distributed photovoltaic power stations, and both n and p are integers larger than 1.
Compared with the prior art, the intelligent electric energy meter obtains the current electric quantity of the energy storage battery by detecting the electric quantity of the energy storage battery of the distributed photovoltaic power station, and comprehensively manages the energy storage battery of the distributed photovoltaic power station as reliable standby electric energy by scheduling and managing the energy storage battery of the distributed photovoltaic power station, so that the power supply safety and the power scheduling reliability of a power grid are improved.
Other technical advantages of the present invention will be set forth in the following examples.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a block diagram of an intelligent electric energy meter applied to a distributed photovoltaic power plant in the embodiment.
Fig. 2 is a flowchart of an integrated scheduling method applied to a distributed photovoltaic power plant in the embodiment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The devices of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
The smart electric meter who is applied to distributed photovoltaic power plant that provides in this embodiment is applied to electric wire netting system, electric wire netting system includes dispatch server and a plurality of distributed photovoltaic power plant, distributed photovoltaic power plant include the energy storage battery with communicate between smart electric meter, the smart electric meter and the dispatch server, under the dispatch of dispatch server, realize charging and discharging of energy storage battery, realize then that distributed photovoltaic power plant stably supplies power, improve electric wire netting power supply safety and power dispatching's reliability.
Referring to fig. 1, the smart electric meter includes an energy storage battery electric quantity detection module, a communication module, a first electric energy metering module, a second electric energy metering module, a processor module, a display module and an output module, and the energy storage battery electric quantity detection module, the communication module, the first electric energy metering module, the second electric energy metering module, the display module and the output module are all connected with the processor module through signals. Of course, the smart meter also includes a power supply source to supply the electric energy required for the operation of each module.
The communication module is used for communication between the distributed photovoltaic power station and the dispatching server; the energy storage battery electric quantity detection module is used for detecting the residual electric quantity of the energy storage battery; the first electric energy metering module is used for metering first electric quantity charged to the energy storage battery by the power grid; the second electric energy metering module is used for metering second electric quantity which is generated by photovoltaic panels of the distributed photovoltaic power station directly and is connected to a power grid; the processor module is used for calculating the electricity price according to the first electric quantity and the second electric quantity and controlling the output module according to the instruction received by the communication module; the output module is used for controlling the energy storage battery to charge or discharge to the power grid; the display module is used for displaying electric quantity information, including the residual electric quantity and/or the first electric quantity and/or the second electric quantity of the energy storage battery.
In this scheme, first electric quantity and second electric quantity are measured through an electric energy metering module respectively, and not measure through same electric energy metering module, can ensure the accuracy of measurement to and avoid the measurement to obscure.
It should be noted here that there are two power sources for charging the energy storage battery in the distributed photovoltaic power station, one is redundant electric energy of the power grid, and the other is photovoltaic panel power generation of the distributed photovoltaic power station, so the output module of the smart meter needs to be switched correspondingly under the control of the processor module, for example, the power grid power supply line is switched to the photovoltaic panel power supply line.
Because the capacities of the energy storage batteries of the distributed photovoltaic power stations are different, in order to facilitate reasonable scheduling, the residual capacity of the energy storage battery is preferably expressed by the percentage of the residual capacity in the total capacity of the energy storage battery, rather than the electric quantity value of the residual capacity.
As shown in fig. 2, when the smart meter is applied to the power grid system, the corresponding comprehensive scheduling method includes the following steps:
step 1, a scheduling server communicates with intelligent electric meters of all distributed photovoltaic power stations, and the residual electric quantity of energy storage batteries of the corresponding distributed photovoltaic power stations is obtained through the intelligent electric meters; the residual electric quantity of the energy storage battery refers to the residual electric quantity of the energy storage battery in the distributed photovoltaic power station, and is preferably expressed by the percentage of the residual electric quantity in the total capacity of the energy storage battery.
And 2, the scheduling server obtains the real-time power consumption data of the power grid and the scheduling electric quantity information of the main grid, and calculates a difference value delta between the total power consumption of the user and the total power supply of the power grid according to the real-time power consumption data of the power grid and the scheduling electric quantity information of the main grid.
And 3, when the difference value is within the set threshold value, the scheduling server sends a discharging instruction to the intelligent ammeter according to the residual electric quantity of the energy storage battery so as to convert the electric energy of the energy storage battery into electric energy matched with the power grid and connect the electric energy to the power grid.
It should be noted here that the distributed photovoltaic power station serves as a main power supply source of the power grid system, but the power supply capability of the distributed photovoltaic power station may also be limited, and there may be a case where the power supply amount does not meet the power consumption demand of the user, or based on safety considerations, power is supplied only when the power supply demand is less than a certain amount, and power needs to be supplied by other channels when the power supply demand exceeds the certain amount, for example, cross-grid scheduling. Therefore, when the difference value Δ between the total power consumption of the user and the total power supplied by the power grid is a positive value, the difference value is required to be compared with a set threshold value to determine whether the distributed photovoltaic power stations can meet the power supply requirement, and if the difference value Δ is met, the energy storage batteries of the distributed photovoltaic power stations discharge electricity and are connected to the power grid.
And 4, when the difference value delta between the total power supply power of the power grid and the total power consumption power of the user is a negative value, the scheduling server sends a charging instruction to the corresponding intelligent electric meter according to the residual electric quantity of the energy storage battery so as to store the redundant electric quantity of the power grid into the energy storage battery.
And 5, when the difference value delta between the total power supply power of the power grid and the total power consumption of the user exceeds the set threshold value, the scheduling server performs cross-network scheduling.
As a preferred example of an implementation manner, in step 3, the scheduling server sorts the remaining energy of the energy storage cells of each distributed photovoltaic power station from large to small, and the remaining energy of the energy storage cells of each distributed photovoltaic power station after sorting is respectively used as a 1 、a 2 、a 3 ......a n Expressed, n is the number of distributed photovoltaic power stations, a n For the residual electric quantity of the energy storage battery of the nth distributed photovoltaic power station, the corresponding maximum discharge power of the energy storage battery is represented as b 1 、b 2 、b 3 ......b n ，b n Starting from the maximum value of the residual electric quantity of the energy storage battery for the maximum discharge power of the energy storage battery of the nth distributed photovoltaic power station if b is 1 +b 2 +......b m-1 < Δ, but b 1 +b 2 +......b m >And delta, the scheduling server sends a discharging instruction to the first to the mth intelligent electric meters, and both n and m are integers larger than 1.
For example, there are 10 minutesThe distributed photovoltaic power stations are ranked from large to small according to the residual electric quantity of the energy storage batteries of all the distributed photovoltaic power stations, and a is provided 1 、a 2 、a 3、 a 4 、a 5 、a 6、 a 7 、a 8 、a 9、 a 10 The maximum discharge power of the corresponding energy storage battery is b 1 、b 2 、b 3、 b 4 、b 5 、b 6、 b 7 、b 8 、b 9、 b 10 Let b be 1 +b 2 +b 3+ b 4 < Δ, but b 1 +b 2 +b 3+ b 4+ b 5 >Δ, then the server is scheduled to the 1 st, 2 nd, 3 rd, 4 th, and 5 th (corresponding to a respectively 1 、a 2 、a 3、 a 4 、a 5 ) The intelligent electric meter of the distributed photovoltaic power station sends a discharging instruction, and the electric energy in the energy storage battery of the distributed photovoltaic power station is converted into electric energy matched with the power grid and connected to the power grid, so that the power grid is guaranteed to provide enough electric energy for users to use.
In this scheme, when needing to discharge, not letting some energy storage batteries or whole energy storage battery discharge wantonly, but discharging by the more energy storage battery of surplus electric quantity preferentially, and the less energy storage battery of surplus electric quantity does not discharge, and its purpose is in order to protect the energy storage battery, avoids overdischarging, prolongs the life of energy storage battery.
In the step 4, the scheduling server sorts the residual electric quantity of the energy storage batteries of all the distributed photovoltaic power stations from large to small, and the residual electric quantity of the energy storage batteries of all the distributed photovoltaic power stations after sorting is respectively used as a 1 、a 2 、a 3 ......a n Expressed, n is the number of distributed photovoltaic power stations, a n For the residual capacity of the energy storage battery of the nth distributed photovoltaic power station, the corresponding maximum charging power of the energy storage battery is represented as c 1 、c 2 、c 3 ......c n ，c n Starting from the minimum value of the residual electric quantity of the energy storage battery for the maximum charging power of the energy storage battery of the nth distributed photovoltaic power station if c is n +c n-1 +......c p <Δ, but c n +c n-1 +......c p-1 If the number of the intelligent electric meters is more than delta, the scheduling server sends charging instructions to the nth to the pth intelligent electric meters, and both n and p are integers larger than 1.
For example, there are 10 distributed photovoltaic power stations, and after sorting the residual electric quantity of the energy storage battery of each distributed photovoltaic power station from large to small, there is a 1 、a 2 、a 3、 a 4 、a 5 、a 6、 a 7 、a 8 、a 9、 a 10 The maximum charging power of the corresponding energy storage battery is c 1 、c 2 、c 3、 c 4 、c 5 、c 6、 c 7 、c 8 、c 9、 c 10 Let c be 10 +c 9 +c 8 +c 7 < Δ, but c 10 +c 9 +c 8 +c 7 +c 6 >Δ, then the server is scheduled to the 10 th, 9 th, 8 th, 7 th (corresponding to a respectively) 10 、a 9 、a 8、 a 7 ) The intelligent electric meter of the distributed photovoltaic power station sends a discharging instruction, and the redundant electric quantity of the power grid is stored in the energy storage battery of the distributed photovoltaic power station, so that the waste of the electric energy of the power grid is avoided.
In this scheme, when needing to charge, not letting some energy storage battery or whole energy storage battery charge wantonly, but the priority is charged by the less energy storage battery of residual capacity, and the more energy storage battery of residual capacity does not charge, and its purpose is in order to protect energy storage battery, avoids overcharging, extension energy storage battery's life. In addition, the energy storage battery with lower charging power is charged preferentially, instantaneous and efficient power supply can be guaranteed when the energy storage battery is required to discharge, and the timeliness of power supply is guaranteed.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (6)
1. The smart electric meter is applied to a distributed photovoltaic power station, and is characterized in that the smart electric meter is applied to an electric network system, the electric network system comprises a dispatching server and a plurality of distributed photovoltaic power stations, each distributed photovoltaic power station comprises an energy storage battery, the smart electric meter comprises an energy storage battery electric quantity detection module, a communication module, a first electric energy metering module, a second electric energy metering module, a processor module and an output module, and the communication module is used for communication between each distributed photovoltaic power station and the dispatching server; the energy storage battery electric quantity detection module is used for detecting the residual electric quantity of the energy storage battery; the first electric energy metering module is used for metering first electric quantity charged to the energy storage battery by the power grid; the second electric energy metering module is used for metering second electric quantity which is generated by photovoltaic panels of the distributed photovoltaic power station directly and is connected to a power grid; the processor module is used for carrying out electricity price settlement according to the first electric quantity and the second electric quantity and controlling the output module according to the instruction received by the communication module; the output module is used for controlling the energy storage battery to charge or discharge to the power grid.
2. The smart meter of claim 1, further comprising a display module for displaying the first and/or second charge and/or remaining charge of the energy storage battery.
3. An integrated scheduling method, applied to a power grid system, wherein the power grid system comprises a scheduling server and a plurality of distributed photovoltaic power stations, each distributed photovoltaic power station comprises an energy storage battery and the smart meter of claim 1 or 2, and the integrated scheduling method comprises the following steps:
the scheduling server obtains the residual electric quantity of the energy storage battery through the intelligent ammeter;
the scheduling server obtains power grid real-time power utilization data and main network scheduling electric quantity information, calculates a difference value between user power utilization total power and power grid power supply total power according to the power grid real-time power utilization data and the main network scheduling electric quantity information, and sends a discharging instruction to the intelligent electric meter according to the residual electric quantity of the energy storage battery when the difference value is within a set threshold value so as to convert the electric energy of the energy storage battery into electric energy matched with the power grid and connect the electric energy to the power grid; and when the difference value is a negative value, the scheduling server sends a charging instruction to the corresponding intelligent ammeter according to the residual electric quantity of the energy storage battery so as to store the redundant electric quantity of the power grid into the energy storage battery.
4. The integrated scheduling method of claim 3, wherein the step of the scheduling server issuing a discharge command to the smart meter according to the first power amount comprises:
the dispatching server sorts the residual electric quantity of the energy storage batteries of all the distributed photovoltaic power stations from large to small by using a 1 、a 2 、a 3 ......a n Expressed, n is the number of distributed photovoltaic power stations, a n For the residual capacity of the energy storage battery of the nth distributed photovoltaic power station, the corresponding maximum discharge power of the energy storage battery is represented as b 1 、b 2 、b 3 ......b n ，b n Starting from the maximum value of the residual electric quantity of the energy storage battery for the maximum discharge power of the energy storage battery of the nth distributed photovoltaic power station if b is 1 +b 2 +......b m-1 < Δ, but b 1 +b 2 +......b m >And delta, the scheduling server sends a discharging instruction to the intelligent electric meters of the first to mth distributed photovoltaic power stations, wherein n and m are integers greater than 1.
5. The integrated scheduling method according to claim 3, wherein the step of the scheduling server sending a charging instruction to the corresponding smart meter according to the remaining capacity of the energy storage battery comprises:
the scheduling server sequences the first electric quantity of each distributed photovoltaic power station from large to small, and uses a 1 、a 2 、a 3 ......a n Expressed, n is the number of distributed photovoltaic power stations, a n For the residual capacity of the energy storage battery of the nth distributed photovoltaic power station, the corresponding maximum charging power of the energy storage battery is expressed as c 1 、c 2 、c 3 ......c n ，c n Starting from the minimum value of the residual electric quantity of the energy storage battery for the maximum charging power of the energy storage battery of the nth distributed photovoltaic power station if c n +c n-1 +......c p <Δ, but c n +c n-1 +......c p-1 If the current value is more than delta, the scheduling server sends a charging instruction to the intelligent electric meters of the nth to the pth distributed photovoltaic power stations, and both n and p are integers larger than 1.
6. The comprehensive scheduling method according to claim 3, wherein when a difference value Δ between the total power supplied by the power grid and the total power used by the user exceeds the set threshold, the scheduling server performs cross-grid scheduling.
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