A photovoltaic battery microgrid dispatching control method

Abstract

The present invention discloses a photovoltaic battery microgrid dispatching control method, which relates to the technical field of power grid dispatching, solves the technical problem that the load and dispatching amount of the corresponding site are not combined for analysis, the energy storage of the corresponding site cannot be ensured to be sufficient, and power shortage is prone to occur. The dispatching demand duration of the power grid site and the dispatching time interval of the photovoltaic battery are received, and combined analysis and judgment are performed. According to the analysis and judgment results, it is determined whether electric energy dispatching from the power grid is required, and the electric energy dispatching is determined. Through multiple analyses, by analyzing the dispatching state of the corresponding photovoltaic battery, the generated power parameters are confirmed and analyzed. Under the condition that the dispatching load will not be caused to the photovoltaic battery, the normal dispatching of the power is guaranteed, so that the corresponding power grid site can obtain sufficient power dispatching, and it is also ensured that the corresponding power grid site will not have a power shortage, thereby avoiding power dispatching failures and improving the overall power dispatching effect.

Description

Technical Field

[0001] The invention belongs to the technical field of power grid dispatching, and in particular relates to a photovoltaic battery microgrid dispatching control method. Background Art

[0002] Microgrid is sometimes referred to as microgrid: it is a concept relative to the traditional large power grid, which refers to a network composed of multiple distributed power sources and their related loads according to a certain topological structure, and is connected to the conventional power grid through static switches;

[0003] The invention with patent publication number CN105406520B relates to an independent microgrid economic dispatch optimization method based on dual master control dynamic collaboration, the independent microgrid includes two main control power sources, namely a battery energy storage system and a diesel generator set, and two non-main control power sources, namely a wind turbine generator set and a photovoltaic power generation system; the method includes: 1) when the battery energy storage system is used as the main control power source of the independent microgrid, the economic dispatch optimization strategy of the system; 2) when the diesel generator set is used as the main control power source of the independent microgrid, the economic dispatch optimization strategy of the system; 3) an independent microgrid economic dispatch optimization process based on dual master control dynamic collaboration of particle swarm optimization algorithm. The present invention solves the economic dispatch optimization problem of two different types of main control power sources, namely a battery energy storage system and a diesel generator set, in an independent microgrid system, and can simultaneously pursue the optimal operation control mode of the system and the minimum power generation cost target, effectively achieving the goal of minimizing the total power generation cost and maximizing the use of renewable energy in the economic operation of the independent microgrid system, and improving the economic operation performance of the microgrid.

[0004] In the specific grid parameter dispatching process, the power is generally dispatched directly from the corresponding photovoltaic energy storage area according to the demand of a certain site. In the specific power dispatching process, there are still the following deficiencies that need to be improved:

[0005] 1. If the status of the PV energy storage area is not analyzed, it is easy to cause a burden on the PV energy storage area during the dispatch process;

[0006] 2. The load and dispatching amount of the corresponding sites have not been combined for analysis, which cannot ensure that the corresponding sites have sufficient energy storage, which may easily lead to power shortages. Summary of the invention

[0007] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes a photovoltaic battery microgrid scheduling control method, which is used to solve the technical problem that the load and scheduling amount of the corresponding site are not combined for analysis, the energy storage of the corresponding site cannot be ensured to be sufficient, and power shortage is prone to occur.

[0008] To achieve the above object, according to an embodiment of the first aspect of the present invention, a photovoltaic battery microgrid dispatching control method is proposed, comprising the following steps:

[0009] S1. Monitor the parameters of different power grid sites in the region, and determine whether the corresponding power grid is in a load transmission state based on the monitoring parameters. According to the load state, limit the monitoring cycle and obtain the total load parameters. The specific method is as follows:

[0010] S11. Monitor different grid site parameters in real time and mark the monitored grid site parameters as ZD i , where i represents different grid sites;

[0011] S12, set the grid site parameter ZD i Compare with the preset parameter Y1, where the preset parameter Y1 is the preset value. i When ≤Y1, no processing is performed. Otherwise, a load signal is generated. According to the load signal, the load state duration of the power grid site is obtained and marked as T i , and T i Compare with the preset parameter Y2, where the preset parameter Y2 is the preset value. i When ≤Y2, no processing is performed, otherwise, a load parameter acquisition signal is generated;

[0012] S13, obtain the signal according to the load parameter, and calculate the load state duration T i The load parameters generated at different times are summed up, where load parameter = ZD i - Normally transmitted power parameters, and the corresponding grid station is in this load state for a certain period of time T i Total load parameters;

[0013] S2. Receive the total load parameters, confirm the dispatch of the photovoltaic battery, analyze the operating parameters of the photovoltaic battery after the dispatch confirmation, confirm the operating status of the photovoltaic battery, and formulate different power output values ​​according to different operating statuses. The specific method is as follows:

[0014] S21, acquiring the moment energy storage parameter of the confirmed photovoltaic battery in real time, and acquiring the external dispatch parameter of the battery in real time, and marking the moment energy storage parameter as XN, and marking the external dispatch parameter as WD;

[0015] S22, when XN≤WD, it means that the photovoltaic battery is in a high dispatch state, and the power output value of the photovoltaic battery at the corresponding moment is adjusted to X1, where X1 is a preset value;

[0016] S23, when XN>WD, it means that the photovoltaic battery is in a low dispatch state, and the power output value of the photovoltaic battery at the corresponding moment is adjusted to X2, where X2 is a preset value and X1<X2;

[0017] S24, adjusting the power output value of the photovoltaic battery in real time according to the different states of the photovoltaic battery, and transmitting the real-time adjusted power output value to the next step of processing;

[0018] S3. According to the total load parameters and the real-time adjusted electric energy output value, the scheduling time interval of the photovoltaic battery is obtained, and according to the obtained time interval, a set of scheduling time parameters is defined, and then the scheduling demand duration of the specified power grid site is obtained by combining the energy storage parameters of the power grid site with the maximum load parameters of the load state duration, and the next step of processing is carried out, specifically in the following manner:

[0019] S311, mark the total load parameter as FHZ i , and then through Get two sets of extreme value time T1 i and T2 i , and generate the time interval [T2 i , T1 i ];

[0020] S312, T2 i It is limited to the scheduling time parameter. Specifically, X2 is the maximum power output value, so the shortest time to complete power scheduling is T2. i , so this is used as the scheduling time parameter;

[0021] The specific method for obtaining the scheduling requirement duration is:

[0022] S321. Mark the energy storage parameter of the corresponding power grid site as CN i , and then extract the maximum load parameter existing in the load state duration, and mark the maximum load parameter as Hmax, using Get the dispatching demand duration TX of the corresponding power grid site i , where Y1 is a preset value, and Y2 is a transmission standard value under normal operation of the power grid station;

[0023] S322, the obtained scheduling requirement time TX i Transfer to the next step for processing;

[0024] S4. Receive the dispatch demand duration of the power grid site and the dispatch time interval of the photovoltaic battery, and conduct a combined analysis and judgment. According to the analysis and judgment results, determine whether it is necessary to dispatch electric energy from the power grid and determine the electric energy dispatch value. The specific method is:

[0025] S41. Extract the required scheduling time TX i And the determined time interval [T2 i , T1 i ], when TX i ≥T1 i When the time is TX, a direct dispatch signal is generated to dispatch power directly from the confirmed photovoltaic battery. Otherwise, the dispatch demand time TX i With the scheduling time parameter T2 i For comparative analysis, when TX i <T2 i When the power grid is connected, a power dispatch signal is generated, and power is dispatched directly from the designated connected power grid to the site to ensure that the site has sufficient power. Otherwise, a signal to be dispatched is generated.

[0026] S42: According to the signal to be dispatched, the photovoltaic battery power is dispatched in advance, and the execution time is the dispatch time parameter T2 i , at T2 i Then, the total dispatching power parameters of the corresponding photovoltaic battery are obtained, and at the same time, the remaining energy storage parameters of the corresponding power grid site are obtained. The following formula is adopted: total load parameters - total dispatching power parameters = remaining parameters to be adjusted. The remaining parameters to be adjusted are compared with the energy storage parameters. When the remaining parameters to be adjusted are ≤ the energy storage parameters, no processing is required. Otherwise, the difference between the remaining parameters to be adjusted and the energy storage parameters is obtained, and the difference is proposed as the power grid dispatching value.

[0027] S43, according to the grid dispatch value, directly dispatch power from the designated connected grid to the site;

[0028] S5. During the specific dispatching process, the load signal generated in real time will be displayed for external operators to view and take timely response measures.

[0029] Compared with the prior art, the beneficial effects of the present invention are as follows: firstly, different grid site parameters are monitored, and according to the monitoring parameters, whether the corresponding grid is in a load transmission state is determined, and according to the load state, the monitoring period is limited, and the total load parameters are obtained, and then the photovoltaic battery is dispatched and confirmed, and the operating parameters of the photovoltaic battery after the dispatch confirmation are analyzed, and the operating state of the photovoltaic battery is confirmed, and different electric energy output values ​​are formulated according to different operating states, and by analyzing the dispatch state of the corresponding photovoltaic battery, the power parameters generated in the dispatch process can be confirmed and analyzed, and the normal dispatch of electricity is guaranteed without causing dispatch load to the photovoltaic battery, thereby improving the overall dispatch effect;

[0030] The dispatch demand duration of the power grid site and the dispatch time interval of the photovoltaic battery are received, and a combined analysis is performed. Based on the analysis and determination results, it is determined whether electric energy dispatch is required from the power grid, and the electric energy dispatch is determined. Through multiple analyses, not only the corresponding power grid site can obtain sufficient power dispatch, but also it is ensured that the corresponding power grid site will not have insufficient power supply, thus avoiding power dispatch failures and improving the overall power dispatch effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0032] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] See also Figure 1 The present application provides a photovoltaic battery microgrid dispatching control method, comprising the following steps:

[0034] S1. Monitor the parameters of different power grid sites in the region, determine whether the corresponding power grid is in a load transmission state based on the monitoring parameters, and limit the monitoring period based on the load state to obtain the total load parameters. The specific method of obtaining the load parameters is as follows:

[0035] S11. Monitor different grid site parameters in real time and mark the monitored grid site parameters as ZD i , where i represents different grid sites;

[0036] S12, set the grid site parameter ZD i Compare with the preset parameter Y1, where the preset parameter Y1 is a preset value, and its specific value is determined by the operator based on experience. i When ≤Y1, no processing is performed. Otherwise, a load signal is generated. According to the load signal, the load state duration of the power grid site is obtained and marked as T i , and T i Compare with the preset parameter Y2, where the preset parameter Y2 is a preset value, and Y2 is generally set to 5min. Its specific value is determined by the operator based on experience. iWhen ≤Y2, no processing is performed. Otherwise, a load parameter acquisition signal is generated. Specifically, the corresponding power grid site parameters may have a certain number of value fluctuations during the actual transmission process, causing the power grid site parameters to be in a load state. If they are in a real load state, the overall duration is generally very long.

[0037] S13, obtain the signal according to the load parameter, and calculate the load state duration T i The load parameters generated at different times are summed up. Specifically, load parameter = ZD i - Normally transmitted power parameters, and the corresponding grid station is in this load state for a certain period of time T i Total load parameters;

[0038] Combined with the analysis of actual application scenarios, during the specific operation process, the corresponding total load parameters are determined according to the last load status, and then power is dispatched from the photovoltaic battery based on the generated total load parameters.

[0039] S2. Receive the total load parameters, confirm the dispatch of the photovoltaic battery, analyze the operating parameters of the photovoltaic battery after the dispatch confirmation, confirm the operating status of the photovoltaic battery, and formulate different electric energy output values ​​according to different operating statuses. The specific method of analysis is as follows:

[0040] S21, real-time acquisition of the confirmed moment energy storage parameter of the photovoltaic battery, specifically, the moment energy storage parameter is the moment energy storage value of the photovoltaic battery, and real-time acquisition of the external scheduling parameter of the battery, the external scheduling parameter is the value of electric energy released by the photovoltaic battery to the outside, and the moment energy storage parameter is marked as XN, and the external scheduling parameter is marked as WD;

[0041] S22, when XN≤WD, it means that the photovoltaic battery is in a high dispatch state, and the power output value of the photovoltaic battery at the corresponding moment is adjusted to X1, where X1 is a preset value, and its specific value is determined by the operator based on experience;

[0042] S23, when XN>WD, it means that the photovoltaic battery is in a low dispatch state, and the power output value of the photovoltaic battery at the corresponding moment is adjusted to X2, where X2 is a preset value, and its specific value is determined by the operator based on experience, and X1<X2;

[0043] S24, adjusting the power output value of the photovoltaic battery in real time according to the different states of the photovoltaic battery, and transmitting the real-time adjusted power output value to the next step of processing;

[0044] Combined with the analysis of actual application scenarios, a photovoltaic battery may be dispatching electricity to another group of dispatching sites before being selected, so there are corresponding external dispatch parameters. If it is not in such a state, the external dispatch parameter is "0", so the corresponding power output value can be adjusted to X2. X2 can be understood as the maximum dispatch value of the corresponding photovoltaic battery, and X1 can be understood as the minimum dispatch value of the corresponding photovoltaic battery.

[0045] By analyzing the dispatching status of the corresponding photovoltaic batteries, the power parameters generated during the dispatching process can be confirmed and analyzed, and the normal dispatching of electricity can be guaranteed without causing dispatching load on the photovoltaic batteries, thereby improving the overall dispatching effect.

[0046] S3. According to the total load parameters and the real-time adjusted electric energy output value, the scheduling time interval of the photovoltaic battery is obtained, and according to the obtained time interval, a set of scheduling time parameters is defined, and then the scheduling demand duration of the specified power grid site is obtained by combining the energy storage parameters of the power grid site with the maximum load parameters of the load state duration, and the next step of processing is performed, wherein the specific method of defining the scheduling time parameters is:

[0047] S311, mark the total load parameter as FHZ i , and then through Get two sets of extreme value time T1 i and T2 i , and generate the time interval [T2 i , T1 i ];

[0048] S312, T2 i It is limited to the scheduling time parameter. Specifically, X2 is the maximum power output value, so the shortest time to complete power scheduling is T2. i , so this is used as the scheduling time parameter;

[0049] The specific method for obtaining the scheduling requirement duration is as follows:

[0050] S321. Mark the energy storage parameter of the corresponding power grid site as CN i , and then extract the maximum load parameter existing in the load state duration, and mark the maximum load parameter as Hmax, using Get the dispatching demand duration TX of the corresponding power grid site i , where Y1 is the preset value, and Y2 is the transmission standard value under the normal operation of the power grid station. Specifically, the maximum load parameter is used here to obtain the fastest consumption time of the energy storage parameter of the corresponding power grid station, that is, the dispatch demand duration. The larger the load parameter, the faster the electric energy stored in the power grid station is consumed;

[0051] S322, the obtained scheduling requirement time TX i Transfer to the next step for processing;

[0052] Combined with the analysis of actual application scenarios, during normal scheduling, the corresponding scheduling demand duration is determined based on the maximum load value.

[0053] S4. Receive the dispatch demand duration of the power grid site and the dispatch time interval of the photovoltaic battery, and conduct a combined analysis and determination. According to the analysis and determination results, determine whether it is necessary to dispatch electric energy from the power grid, and determine the electric energy dispatch value. The specific method of conducting the combined analysis and determination is as follows:

[0054] S41. Extract the required scheduling time TX i And the determined time interval [T2 i , T1 i ], when TX i ≥T1 i When the time is TX, a direct dispatch signal is generated to dispatch power directly from the confirmed photovoltaic battery. Otherwise, the dispatch demand time TX i With the scheduling time parameter T2 i For comparative analysis, when TX i <T2 i When the power grid is connected, a power dispatch signal is generated, and power is dispatched directly from the designated connected power grid to the site to ensure that the site has sufficient power. Otherwise, a signal to be dispatched is generated.

[0055] S42: According to the signal to be dispatched, the photovoltaic battery power is dispatched in advance, and the execution time is the dispatch time parameter T2 i , at T2 i Then, the total dispatching power parameters of the corresponding photovoltaic battery are obtained, and at the same time, the remaining energy storage parameters of the corresponding power grid site are obtained. The total load parameters - total dispatching power parameters = remaining parameters to be adjusted are used, and the remaining parameters to be adjusted are compared with the energy storage parameters. When the remaining parameters to be adjusted are ≤ the energy storage parameters, no processing is required. Otherwise, the difference between the remaining parameters to be adjusted and the energy storage parameters is obtained, and the difference is proposed as the power grid dispatching value;

[0056] S43, according to the grid dispatch value, directly dispatch power from the designated connected grid to the site;

[0057] S5. During the specific dispatching process, the load signal generated in real time will be displayed for external operators to view and take timely response measures.

[0058] In the specific dispatching process, through multiple analyses, not only can the corresponding power grid sites get sufficient power dispatching, but also it can be ensured that the corresponding power grid sites will not have insufficient power supply, thus avoiding power dispatching failures and improving the overall power dispatching effect.

[0059] Some of the data in the above formula are calculated by removing the dimensions and taking their numerical values. The formula is a formula that is closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0060] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A photovoltaic battery microgrid dispatching and control method, characterized in that: The following steps are involved: S1. Monitor the parameters of different power grid sites in the region, determine whether the corresponding power grid is in a load transmission state based on the monitoring parameters, and limit the monitoring cycle based on the load state to obtain the total load parameters; S2. Receive the total load parameters, confirm the dispatch of the photovoltaic battery, analyze the operating parameters of the photovoltaic battery after the dispatch confirmation, confirm the operating status of the photovoltaic battery, and formulate different power output values ​​according to different operating statuses. The specific method is as follows: S21, acquiring the moment energy storage parameter of the confirmed photovoltaic battery in real time, and acquiring the external dispatch parameter of the battery in real time, and marking the moment energy storage parameter as XN, and marking the external dispatch parameter as WD; S22, when XN≤WD, it means that the photovoltaic battery is in a high dispatch state, and the power output value of the photovoltaic battery at the corresponding moment is adjusted to X1, where X1 is a preset value; S23, when XN>WD, it means that the photovoltaic battery is in a low dispatch state, and the power output value of the photovoltaic battery at the corresponding moment is adjusted to X2, where X2 is a preset value and X1<X2; S24, adjusting the power output value of the photovoltaic battery in real time according to the different states of the photovoltaic battery, and transmitting the real-time adjusted power output value to the next step of processing; S3. According to the total load parameters and the real-time adjusted electric energy output value, the scheduling time interval of the photovoltaic battery is obtained, and according to the obtained time interval, a set of scheduling time parameters is defined, and then the scheduling demand duration of the specified power grid site is obtained by combining the energy storage parameters of the power grid site with the maximum load parameters of the load state duration, and the next step of processing is performed; S4. Receive the dispatch demand duration of the power grid site and the dispatch time interval of the photovoltaic battery, and conduct a combined analysis and judgment. According to the analysis and judgment results, determine whether it is necessary to dispatch electric energy from the power grid and determine the electric energy dispatch value. The specific method is: S41. Extract the required scheduling time TX i And the determined time interval [T2 i , T1 i ], when TX i ≥T1 i When the time is TX, a direct dispatch signal is generated to dispatch power directly from the confirmed photovoltaic battery. Otherwise, the dispatch demand time TX i With the scheduling time parameter T2 i For comparative analysis, when TX i <T2 i When the power grid is connected, a power dispatch signal is generated, and power is dispatched directly from the designated connected power grid to the site to ensure that the site has sufficient power. Otherwise, a signal to be dispatched is generated. S42: According to the signal to be dispatched, the photovoltaic battery power is dispatched in advance, and the execution time is the dispatch time parameter T2 i , at T2 i Then, the total dispatching power parameters of the corresponding photovoltaic battery are obtained, and at the same time, the remaining energy storage parameters of the corresponding power grid site are obtained. The following formula is adopted: total load parameters - total dispatching power parameters = remaining parameters to be adjusted. The remaining parameters to be adjusted are compared with the energy storage parameters. When the remaining parameters to be adjusted are ≤ the energy storage parameters, no processing is required. Otherwise, the difference between the remaining parameters to be adjusted and the energy storage parameters is obtained, and the difference is proposed as the power grid dispatching value. S43, according to the grid dispatch value, directly dispatch power from the designated connected grid to the site; S5. During the specific dispatching process, the load signal generated in real time will be displayed for external operators to view and take timely response measures.

2. A photovoltaic battery microgrid dispatching and control method according to claim 1, characterized in that: In step S1, the specific method of obtaining the total load parameters is: S11. Real-time monitoring of different grid site parameters is performed, and the monitored grid site parameters are marked as ZD i , where i represents different grid sites; S12, set the grid site parameter ZD i Compare with the preset parameter Y1, where the preset parameter Y1 is the preset value. i When ≤Y1, no processing is performed. Otherwise, a load signal is generated. According to the load signal, the load state duration of the power grid site is obtained and marked as T i , and T i Compare with the preset parameter Y2, where the preset parameter Y2 is the preset value. i When ≤Y2, no processing is performed, otherwise, a load parameter acquisition signal is generated; S13, obtain the signal according to the load parameter, and calculate the load state duration T i The load parameters generated at different times are summed up, where load parameter = ZD i - Normally transmitted power parameters, and the corresponding grid station is in this load state for a certain period of time T i The total load parameters.

3. A photovoltaic battery microgrid dispatching and control method according to claim 1, characterized in that: In step S3, the specific method of limiting the scheduling time parameter is: S311, mark the total load parameter as FHZ i , and then through Get two sets of extreme value time T1 i and T2 i , and generate the time interval [T2 i , T1 i ]; S312, T2 i It is limited to the scheduling time parameter. Specifically, X2 is the maximum power output value, so the shortest time to complete power scheduling is T2. i , so this is used as the scheduling time parameter.

4. A photovoltaic battery microgrid dispatching and control method according to claim 1, characterized in that: In step S3, the specific method of obtaining the scheduling requirement duration is: S321. Mark the energy storage parameter of the corresponding power grid site as CN i , and then extract the maximum load parameter existing in the load state duration, and mark the maximum load parameter as Hmax, using Get the dispatching demand duration TX of the corresponding power grid site i , where Y1 is a preset value, and Y2 is a transmission standard value under normal operation of the power grid station; S322, the obtained scheduling requirement time TX i Transfer to the next step for processing.

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