Power balance monitoring method, device, medium and equipment based on power system

Abstract

The present application provides a method, device, medium and equipment for monitoring power balance based on an electric power system, including: obtaining the power load forecast result after the influence of new energy, obtaining the power load value affected by the demand side response; obtaining the power of the energy storage device on the user side on the power grid load, the power value of the energy storage device on the power grid side and the power value of the distributed new energy energy storage device, and calculating the power load forecast value according to the power load forecast result after the influence of new energy, the power load value affected by the demand side response, the power of the energy storage device on the user side on the power grid load, the power value of the energy storage device on the power grid side and the power value of the distributed new energy energy storage device, and determining the adjustment strategy according to the power load forecast value and preset conditions. The adjustment strategy is obtained by obtaining the power load value affected by the demand side response and the power of the energy storage device on the power grid load to balance the power.

Description

Technical Field

[0001] The present application relates to the field of monitoring technology, and in particular to a method, device, medium and equipment for monitoring power balance based on a power system. Background Art

[0002] In the prior art, power balance is defined as power generation = power consumption (load). To ensure that the grid frequency is stable at 50 Hz, the power generation of the entire grid must be equal to the power consumption (load) in real time, as well as power balance calculation: Since electric energy cannot be stored and the power load fluctuates in real time, in order to meet the real-time power balance, the power generation must have the ability to fluctuate within a range to meet the changing needs of power load. The so-called power balance calculation is: (1) Power output range calculation: According to the startup mode of the thermal power unit, the predicted output of new energy (wind power, photovoltaic power), the power supply of the interconnection line between the grids, the start and stop of pumping / power generation of the pumped storage unit, etc., determine the upper and lower ranges of power fluctuations in a certain power supply area in the next few hours (generally 8 hours), that is, the maximum and minimum power values ​​at any time t, recorded as Pt (Ptmin, Ptmax); (2) Load change range calculation: The load fluctuation range of a certain power supply area in the next few hours (generally 8 hours), that is, the set of load prediction values ​​at any time t, recorded as Lt. (3) Determine whether Lt∈(Ptmin, Ptmax) is satisfied. If so, the power balance will meet the requirements in the next few hours. If not, the power balance will not meet the requirements and measures need to be taken (such as adjusting the unit startup mode, applying for interconnection line supply increase / reduction, unit deep adjustment, new energy abandonment, etc.) to adjust the Pt value until the requirements are met. This adjustment method results in data collection relying on manual work, which is cumbersome and error-prone, and does not consider the impact of energy storage equipment and demand-side response on power balance. Summary of the invention

[0003] In order to solve the above technical problems, this application is proposed. This application provides a power balance monitoring method, device, medium and equipment based on a power system, which solves the problem that the existing technology does not consider the impact of energy storage equipment and demand-side response on the calculation of power balance.

[0004] On the one hand, the present application provides a method for monitoring power balance based on an electric power system, including: obtaining a power load forecast result after being affected by new energy; obtaining a power load value affected by a demand-side response; obtaining the power impact of a user-side energy storage device on a power grid load, the power value of a power grid-side energy storage device, and the power value of a distributed new energy energy storage device; calculating a power load forecast value based on the power load forecast result after being affected by new energy, the power load value affected by a demand-side response, the power impact of the user-side energy storage device on the power grid load, the power value of the power grid-side energy storage device, and the power value of the distributed new energy energy storage device; and determining an adjustment strategy based on the power load forecast value and preset conditions.

[0005] In one embodiment, determining the adjustment strategy based on the power load forecast value and preset conditions includes: obtaining the generated power on the power generation side; calculating the generated power based on the generated power on the power generation side; and determining the adjustment strategy based on the power load forecast value, the generated power and preset conditions.

[0006] In one embodiment, obtaining the generated electricity on the power generation side includes: obtaining the generated electricity on the power generation side; wherein the generated electricity includes the generated electricity of thermal power units, the wind power generated electricity after considering the influence of energy storage equipment, the centralized photovoltaic power generation electricity after considering the influence of energy storage equipment, the hydropower generated electricity and the interconnection line transmission flow.

[0007] In one embodiment, the power generation calculated based on the power generation on the power generation side includes: the power generation calculated based on the power generation of thermal power units, the wind power generation after considering the influence of energy storage equipment, the centralized photovoltaic power generation after considering the influence of energy storage equipment, the hydropower power generation and the interconnection line transmission flow.

[0008] In one embodiment, the adjustment strategy is determined based on the power load prediction value, the generated power and preset conditions, including: if the difference between the maximum value of the generated power and the power load prediction value at the same time is less than a first preset power threshold, then a first adjustment strategy is determined; if the difference between the power load prediction value and the minimum value of the generated power at the same time is less than a second preset power threshold, then a second adjustment strategy is determined.

[0009] In one embodiment, obtaining the power load value affected by the demand-side response includes: obtaining the load amount participating in the demand-side response; obtaining electricity price data at each time; and calculating the power load value based on the load amount of the demand-side response and the electricity price data at each time.

[0010] In one embodiment, after determining the adjustment strategy according to the power load forecast value and the preset conditions, the power balance monitoring method based on the power system further includes: plotting the multiple power load forecast values ​​into a curve.

[0011] On the other hand, the present application provides an electric power balance monitoring device based on an electric power system, including: a first acquisition module, used to obtain an electric power load prediction result after the influence of new energy; a second acquisition module, used to obtain the electric power load value affected by the demand side response; a third acquisition module, used to obtain the influence of the energy storage device on the power grid load on the user side, the power value of the energy storage device on the power grid side, and the power value of the distributed new energy energy storage device; a calculation module, used to calculate the electric power load prediction value according to the electric power load prediction result after the influence of new energy, the electric power load value affected by the demand side response, the influence of the energy storage device on the power grid load on the user side, the power value of the energy storage device on the power grid side, and the power value of the distributed new energy energy storage device; and a determination module, used to determine the adjustment strategy according to the electric power load prediction value and preset conditions.

[0012] On the other hand, the present application provides a computer-readable storage medium, wherein the storage medium stores a computer program, and the computer program is used to execute any of the above-mentioned power balance monitoring methods based on the power system.

[0013] In another aspect, the present application provides an electronic device, the electronic device comprising:

[0014] A processor; a memory for storing instructions executable by the processor; the processor is used to execute the power balance monitoring method based on the power system described in any one of the above 7.

[0015] The present application provides a method, device, medium and equipment for monitoring power balance based on an electric power system, including: obtaining the power load forecast result after the influence of new energy, obtaining the power load value affected by the demand side response; obtaining the power of the energy storage device on the user side on the power grid load, the power value of the power storage device on the power grid side and the power value of the distributed new energy energy storage device, and calculating the power load forecast value according to the power load forecast result after the influence of new energy, the power load value affected by the demand side response, the power of the energy storage device on the user side on the power grid load, the power value of the power storage device on the power grid side and the power value of the distributed new energy energy storage device, and determining the adjustment strategy according to the power load forecast value and preset conditions. The adjustment strategy is obtained by obtaining the power load value affected by the demand side response and the power of the energy storage device on the power grid load to balance the power. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] By describing the embodiments of the present application in more detail in conjunction with the accompanying drawings, the above and other purposes, features and advantages of the present application will become more apparent. The accompanying drawings are used to provide a further understanding of the embodiments of the present application and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the present application and do not constitute a limitation of the present application. In the accompanying drawings, the same reference numerals generally represent the same components or steps.

[0017] Figure 1 A method for monitoring power balance based on a power system is provided by an exemplary embodiment of the present application.

[0018] Figure 2 It is a flow chart for obtaining reference electricity prices for energy storage periods provided by an exemplary embodiment of the present application.

[0019] Figure 3 It is a flowchart of obtaining a reference electricity price during a power generation period provided by an exemplary embodiment.

[0020] Figure 4 is the energy storage period p of the grid-side energy storage device provided by an exemplary embodiment of the present application dfa Solving flowchart.

[0021] Figure 5 It is a distributed new energy storage device energy storage period p provided by an exemplary embodiment of the present application dfa Solving flowchart.

[0022] Figure 6 is a power generation period p of an energy storage device provided by an exemplary embodiment of the present application dfa Solving flowchart.

[0023] Figure 7 This is an adjustment strategy determination method provided by an exemplary embodiment of the present application.

[0024] Figure 8 This is a method for determining an adjustment strategy provided by another exemplary embodiment of the present application.

[0025] Fig. 9 It is a structural schematic diagram of a power balance monitoring device based on a power system provided by an exemplary embodiment of the present application.

[0026] Fig.10 It is a structural schematic diagram of a power balance monitoring device based on a power system provided by another exemplary embodiment of the present application.

[0027] Fig.11 It is a structural diagram of an electronic device provided by an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0028] Below, the exemplary embodiments according to the present application will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application, and it should be understood that the present application is not limited to the exemplary embodiments described here.

[0029] Figure 1 A method for monitoring power balance based on a power system is provided by an exemplary embodiment of the present application. Figure 2 It is a flow chart for obtaining reference electricity prices for energy storage periods provided by an exemplary embodiment of the present application. Figure 3 FIG. 1 is a flowchart of obtaining a reference electricity price during a power generation period provided by an exemplary embodiment. Figure 1-3 As shown, the power balance monitoring method based on the power system includes:

[0030] Step 110: Obtain the power load forecast result after being affected by new energy.

[0031] Step 120: Obtain the power load value affected by the demand-side response.

[0032] In the embodiment of the present invention, “obtaining a power load value affected by a demand-side response” includes:

[0033] (11) Obtain the load amount participating in demand-side response.

[0034] (12) Obtain electricity price data at each time.

[0035] (13) The power load value is calculated based on the load response from the demand side and the electricity price data at each time.

[0036] The prediction principle of the demand-side response system can be expressed as formula 1:

[0037]

[0038] in:

[0039] ΔP response The load change caused by demand-side response;

[0040] Prequest is the load amount participating in demand-side response;

[0041] ξ is the price (electricity price data at each moment), and its value range is [ξmin,ξmax];

[0042] ΔP response By superimposing it on the existing system power load forecast curve, we can obtain the power load forecast curve that takes demand-side response into consideration.

[0043] Step 130: Obtain the power impact of the energy storage device on the grid load at the user side, the power value of the grid side energy storage device, and the power value of the distributed new energy storage device.

[0044] The impact of user-side energy storage equipment on load can be described by Formula 2: the lower the electricity price, the more energy is stored, and vice versa, the more electricity is generated.

[0045]

[0046] in:

[0047] ΔPstorage is the impact of the user-side energy storage device on the grid load, where energy storage is positive and power generation is negative;

[0048] ξ is the electricity price;

[0049] ξmin is the valley electricity price;

[0050] ξmax is the peak electricity price;

[0051] ξref_stor is the reference electricity price during the energy storage period, and its value is given by Figure 2 get;

[0052] ξref_gen is the reference electricity price during the power generation period, and its value is given by Figure 3 get;

[0053] W STOR_MAX is the maximum storable power;

[0054] W MAX The maximum storage capacity of the energy storage element;

[0055] W storage The amount of electricity stored.

[0056] like Figure 2 As shown, input count = 0 (counting starts from 0), ξ = y(t), ξlow=ξmin,ξup=ξmax,W STOR_MAX =W MAX ―W storage .calculate as well as W is t 1 s to t 2 The stored power in the period of s is used to determine W STOR_MAX Is it greater than or equal to W? If so, determine whether the count is 0. If the count is 0, output ξref_stor. If W STOR_MAX Whether it is less than W, then ξlow=ξlow, ξup=ξref_stor, Then count plus 1, that is, count = count + 1, and then return to calculation If the count is not 0, then determine W STOR_MAX ―Whether W is less than or equal to ξ, if W STOR_MAX ―W is less than or equal to ξ, then output ξref_stor. STOR_MAX ―W is greater than ξ, then ξlow=ξref_stor, ξup=ξup, Then return to the calculation

[0057] Among them, ξ=y(t) means that the electricity price is a function of time, and the electricity price can be expressed by time. Wmax is the maximum storage capacity of the energy storage element, Wstorage is the stored electricity, Wstor_max is the maximum storable electricity, t1s is the initial moment when the electricity price during the low electricity price period is equal to the reference electricity price, and t2s is the end moment when the electricity price during the low electricity price period is equal to the reference electricity price.

[0058] like Figure 3 As shown, input count = 0 (counting starts from 0), ξ = y(t), ξlow=ξmin,ξup=ξmax,W gen_max =W storage .calculate Judge W gen Is it greater than or equal to W, where W is t 1 g to t 2 The power generation in the g period, if W gen If W is greater than or equal to W, it is determined whether the count is 0. If the count is 0, that is, count = 0, output ξref_gen. gen Less than W, then ξlow=ξref_gen, ξup=ξup, And count plus 1, that is, count = count + 1, and then return to calculation If the count is not 0, then W gen_max ―Is W less than or equal to ξ? If so, output ξref_gen; if not, ξlow=ξlow, ξup=ξref_gen, Return to calculation ξ=y(t) means that the electricity price is a function of time, and the electricity price can be represented by time. Wstorage is the stored electricity, Wgen_max is the maximum amount of electricity that can be generated, t1g is the initial moment when the electricity price during the peak period is equal to the reference electricity price, and t2g is the end moment when the electricity price during the peak period is equal to the reference electricity price.

[0059] The grid-side energy storage equipment plays the role of distributed power supply. Like the distributed new energy storage equipment on the power supply side, it stores electricity during low-load periods and generates electricity during peak periods, achieving the effect of peak load reduction and valley filling. In order to make the best use of the storage and generation capacity of the energy storage equipment, the energy storage control strategy is as follows:

[0060]

[0061] If the available storage / generation capacity is greater than the amount of electricity to be stored / released, the power storage and generation of the grid-side energy storage device is expressed as formula (3), and the power storage and generation of the distributed new energy energy storage device is expressed as formula (4).

[0062]

[0063] If the available storage / generation capacity is less than the amount of electricity to be stored / released, the power storage and generation of the grid-side energy storage device is expressed as formula (5), and the power storage and generation of the distributed new energy energy storage device is expressed as formula (6).

[0064]

[0065]

[0066] in:

[0067] p storage_grid The power generated by the energy storage equipment on the grid side (energy storage is positive, power generation is negative);

[0068] p generate_grid is the power value of the distributed new energy storage equipment (energy storage is positive, power generation is negative);

[0069] p average is the daily average load;

[0070] p forecast To predict load;

[0071] p max―in is the maximum power that can be stored in the energy storage device;

[0072] p max―out The maximum amount of electricity that the energy storage device can generate;

[0073] t 1 The starting time when the predicted load is lower than the daily average load;

[0074] t 2 The predicted end time when the load is lower than the daily average load;

[0075] t 3 The starting time when the predicted load is higher than the daily average load;

[0076] t 4 The end time when the predicted load is higher than the daily average load;

[0077] t 11 is p in a certain energy storage period dfa The starting time equal to the forecast load;

[0078] t 21 is p in a certain energy storage period dfa The end time equal to the forecast load;

[0079] t 31 is p in a certain power generation period dfa The starting time equal to the forecast load;

[0080] t 41 is p in a certain power generation period dfa The end time equal to the forecast load;

[0081] Figure 4 is the energy storage period p of the grid-side energy storage device provided by an exemplary embodiment of the present application dfa Solving flowchart. Figure 5 It is a distributed new energy storage device energy storage period p provided by an exemplary embodiment of the present application dfa Solving flowchart. Figure 6 is a power generation period p of an energy storage device provided by an exemplary embodiment of the present application dfa Solve the flow chart. Figure 4-6 As shown, p dfa The reference power for the start / end of energy storage / generation after the energy storage device capacity is exhausted. The energy storage period p of the grid-side energy storage device dfa The solution process is as follows Figure 4 As shown, the distributed new energy storage equipment storage period p dfa The solution process is as follows Figure 5 As shown, the energy storage device generates electricity during the power generation period p dfa The solution process is as follows Figure 6 shown.

[0082] ε is taken as 1MWh.

[0083] W max-in The maximum amount of electricity that can be stored in the energy storage device;

[0084] W max-out The maximum amount of electricity that the energy storage device can generate;

[0085] like Figure 4 As shown, enter p up =p average , p low =min{p forecast}(t 1 ≤t≤t2 ), p dfa =p up , calculate p storage_grid =min{p dfa ―p forecast ,p max―in}, judge W max-in Is it greater than or equal to If W max-in Greater than or equal to Then judge Is it less than or equal to ε?

[0086] like Less than or equal to ε, then output p dfa ,like If p is smaller than ε, then p up =p up , p low =p dfa , Then return to calculate p storage_grid =min{p dfa ―p forecast ,p max―in}. If W max-in Less than Then p up =p dfa , Then return to calculate p storage_grid =min {p dfa ―p forecast ,p max―in}.

[0087] like Figure 5 As shown, enter p up =p average , p low =min{p forecast}(t 1 ≤t≤t 2 ), p dfa =p up , calculate p storage_grid =min{p dfa ―p forecast ,p pvd ,p max―in}, judge W max-in Is it greater than like Less than or equal to ε, then output p dfa .like Then p up =p up , p low =pdfa , If W max-in Less than Then p up =p dfa , p low =p low , Then return to calculate p storage_grid =min{p dfa ―p forecast ,p max―in}.

[0088] like Figure 6 As shown, enter p low =p average , p up =max{p forecast}(t 3 ≤t≤t 4 ),p dfa =p low Calculate p gen =min{p forecast ―p dfa ,p max―out}, judge W max-out Is it greater than If W max-out Greater than Then judge Is it less than or equal to ε? Less than or equal to ε, then output p dfa .like is greater than ε, then p up =p dfa , p low =p low , Then return to calculate p gen =min {p forecast ―p dfa ,p max―out}. If W max-out Less than or equal to Then p up =p up , p low =p dfa , Then return to calculate p gen =min{p forecast ―p dfa ,p max―out}.

[0089] Step 140: Calculate the power load forecast value based on the power load forecast result after the influence of new energy, the power load value affected by the demand side response, the influence of the energy storage equipment on the grid load on the user side, the power value of the grid side energy storage equipment and the power value of the distributed new energy energy storage equipment.

[0090] Power load forecast value P L =P LB +△P response +△P storage +P storage_grid +P generate_grid ;

[0091] P LB The power load forecast results considering the impact of new energy (existing system);

[0092] △P response is the value of power load affected by demand-side response;

[0093] △P storage The power load value affected by the energy storage equipment on the user side (energy storage is positive, power generation is negative);

[0094] P storage_grid The power value absorbed by the grid-side energy storage device (positive for energy storage and negative for power generation);

[0095] P generate_grid It is the value of electricity absorbed by distributed new energy storage equipment (storage is positive, power generation is negative).

[0096] Step 150: Determine an adjustment strategy based on the power load forecast value and preset conditions.

[0097] Figure 7 This is a method for determining an adjustment strategy provided by an exemplary embodiment of the present application. Figure 7 As shown, step 150 may include:

[0098] Step 151: Obtain the generated power on the power generation side.

[0099] The energy storage equipment on the power generation side is divided into centralized new energy storage equipment and distributed new energy storage equipment, both of which are used to store and generate new energy power in real time. Centralized new energy storage equipment can be incorporated into the automatic generation control program (AGC) to control the output of new energy; distributed new energy storage equipment is used to store and generate distributed photovoltaic power, and its final result is reflected in the increase and decrease of load, which is consistent with the effect of grid-side energy storage equipment. The detailed calculation process can refer to the calculation formula (3-6) on the grid side. The energy storage strategy corresponding to the centralized new energy storage equipment refers to the following calculation method:

[0100] When the centralized new energy storage equipment has the power storage capacity (0≤power stored in the energy storage equipment<maximum power storage capacity of the energy storage equipment) or power generation capacity (0<power stored in the energy storage equipment≤maximum power storage capacity of the energy storage equipment), the new energy power generation after considering the influence of the energy storage equipment can be described by Formula 7:

[0101]

[0102] in:

[0103] Pwind-final is the wind power generation after considering the impact of energy storage equipment;

[0104] Pwind is the wind power generation electricity;

[0105] Ppvc-final is the centralized photovoltaic power generation after considering the impact of energy storage equipment;

[0106] Ppvc is centralized photovoltaic power generation;

[0107] PGWstorage is the wind power storage and generation power (storage is positive, generation is negative), and its value is obtained by the AGC control program;

[0108] PGPstorage is the centralized photovoltaic storage power (storage is positive, generation is negative), and its value is obtained by the AGC control program;

[0109] Pmax-in is the maximum storage power of the energy storage device;

[0110] Pmax-out is the maximum power generated by the energy storage device.

[0111] When the energy storage device does not have the ability to store electricity or generate electricity, the energy generation power is described by formula 8:

[0112]

[0113] Step 152: Calculate the generated power based on the generated power on the power generation side.

[0114] Step 153: Determine an adjustment strategy based on the power load forecast value, the generated power and preset conditions.

[0115] In one embodiment, step 151 can be specifically implemented as follows: obtaining the generated power on the power generation side, wherein the generated power includes the generated power of thermal power units, the wind power generated power after considering the influence of energy storage equipment, the centralized photovoltaic power generation power after considering the influence of energy storage equipment, the hydropower generated power and the interconnection line transmission flow.

[0116] In one embodiment, step 152 can be specifically implemented as follows: the generated power is calculated based on the generated power of the thermal power unit, the wind power generated power after considering the influence of the energy storage device, the centralized photovoltaic power generation power after considering the influence of the energy storage device, the hydropower generated power and the interconnection line transmission flow.

[0117] Power generation PG = Pthermal + Pwind-final + Ppvc-final + Pwater + Plink;

[0118] Among them, Pthermal is the power generated by the thermal power unit;

[0119] Pwind-final is the wind power generation after considering the impact of energy storage equipment;

[0120] Ppvc-final is the centralized photovoltaic power generation after considering the impact of energy storage equipment;

[0121] Pwater is the hydroelectric power generation (positive for power generation and negative for pumped storage);

[0122] Plink is the transmission flow of the tie line (input is positive, output is negative).

[0123] Figure 8 Another exemplary embodiment of the present application provides a method for determining an adjustment strategy. Figure 8 As shown, step 153 may include:

[0124] Step 1531: If the difference between the maximum value of the generated power and the power load forecast value at the same time is less than a first preset power threshold, a first adjustment strategy is determined.

[0125] The maximum generated power max{PG} (technical maximum) at time t - the predicted power load value PL at time t < 1 million kilowatts. Adjustment strategy suggestions are given considering the following factors: pumped storage water level, external support, etc.

[0126] Step 1532: If the power load forecast value and the minimum value of the generated power at the same time are less than the difference between the second preset power threshold, determine the second adjustment strategy.

[0127] The power load forecast value PL at time t-the minimum power generation min{PG} (technical minimum) at time t < 300,000 kilowatts. Consider the following factors to give the adjustment strategy suggestions:

[0128] 1) Develop a reasonable deep adjustment sequence based on the historical deep adjustment records of the pure condensing unit, the unit startup method, the unit defects and the deep adjustment capacity.

[0129] 2) Formulate a shutdown sequence based on the day-ahead information of the electricity spot market and the power generation progress of the power generation units in the current year / month.

[0130] In one embodiment, 120 is specifically configured as follows: obtaining the load amount participating in the demand side response, obtaining the electricity price data at each time, and calculating the power load value according to the load amount participating in the demand side response and the electricity price data at each time.

[0131] In one embodiment, after determining the adjustment strategy according to the power load forecast value and the preset conditions, the power balance monitoring method based on the power system further includes: plotting the multiple power load forecast values ​​into a curve.

[0132] Output the technical maximum, load curve, and technical minimum curve within the next t hours, and can display the upper and lower reserve values ​​at any time. Among them, the upper reserve data represents the data corresponding to the maximum generated power max{PG} (technical maximum) at time t-the power load forecast value PL at time t>1 million kilowatts. The lower reserve data represents the power load forecast value P at time t L -The minimum power generation min{P G}(Technical minimum)>300,000 kilowatts corresponding data.

[0133] Fig. 9 FIG. 1 is a schematic diagram of a power balance monitoring device based on a power system provided by an exemplary embodiment of the present application. Fig. 9 As shown, the power balance monitoring device 20 based on the power system includes: a first acquisition module 201, which is used to obtain the power load prediction result after the influence of new energy; a second acquisition module 202, which is used to obtain the power load value affected by the demand side response; a third acquisition module 203, which is used to obtain the power of the energy storage device on the user side on the grid load, the power value of the grid-side energy storage device and the power value of the distributed new energy energy storage device; a calculation module 204, which is used to calculate the power load prediction value according to the power load prediction result after the influence of new energy, the power load value affected by the demand side response, the power of the energy storage device on the user side on the grid load, the power value of the grid-side energy storage device and the power value of the distributed new energy energy storage device; and a determination module 205, which is used to determine the adjustment strategy according to the power load prediction value and preset conditions.

[0134] Fig.10 FIG. 1 is a schematic diagram of a power balance monitoring device based on a power system provided by another exemplary embodiment of the present application. Fig.10 As shown, the determination module 205 may include: a power acquisition unit 2051, used to acquire the generated power on the power generation side; a calculation unit 2052, used to calculate the generated power based on the generated power on the power generation side; an adjustment unit 2053, used to determine the adjustment strategy based on the power load forecast value, the generated power and preset conditions.

[0135] In one embodiment, if Fig.10 As shown, the power acquisition unit 2051 can be specifically configured to: acquire the generated power on the power generation side; wherein the generated power includes the generated power of the thermal power unit, the wind power generated power after considering the influence of the energy storage equipment, the centralized photovoltaic power generation power after considering the influence of the energy storage equipment, the hydropower generated power and the interconnection line transmission flow.

[0136] In one embodiment, if Fig.10 As shown, the calculation unit 2052 can be specifically configured to calculate the generated power based on the generated power of the thermal power unit, the wind power generated power after considering the influence of the energy storage equipment, the centralized photovoltaic power generation power after considering the influence of the energy storage equipment, the hydropower generated power and the interconnection line transmission flow.

[0137] In one embodiment, if Fig.10 As shown, the adjustment unit 2053 can be specifically configured as follows: if the difference between the maximum value of the generated power and the power load forecast value at the same time is less than the first preset power threshold, then the first adjustment strategy is determined; if the difference between the power load forecast value and the minimum value of the generated power at the same time is less than the second preset power threshold, then the second adjustment strategy is determined.

[0138] In one embodiment, the second acquisition module 202 can be specifically configured to: obtain the load amount participating in the demand side response; obtain the electricity price data at each time; and calculate the power load value based on the load amount of the demand side response and the electricity price data at each time.

[0139] In one embodiment, if Fig.10 As shown, after determining the adjustment strategy according to the power load forecast value and the preset conditions, the power balance monitoring device based on the power system may also include:

[0140] The drawing unit 206 is used to draw a plurality of power load prediction values ​​into a curve.

[0141] Below, reference Fig.11 The electronic device according to the embodiment of the present application is described. The electronic device may be any one or both of the first device and the second device, or a stand-alone device independent of them, and the stand-alone device may communicate with the first device and the second device to receive the collected input signal from them.

[0142] Fig.11 A block diagram of an electronic device according to an embodiment of the present application is illustrated.

[0143] like Fig.11 As shown, the electronic device 10 includes one or more processors 11 and a memory 12 .

[0144] The processor 11 may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device 10 to perform desired functions.

[0145] The memory 12 may include one or more computer program products, and the computer program product may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory (cache), etc. Non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on a computer-readable storage medium, and the processor 11 may run the program instructions to implement the above-mentioned power balance monitoring method based on the power system of each embodiment of the present application and / or other desired functions. Various contents such as input signals, signal components, noise components, etc. may also be stored in the computer-readable storage medium.

[0146] In one example, the electronic device 10 may further include: an input device 13 and an output device 14, and these components are interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0147] For example, when the electronic device is a stand-alone device, the input device 13 may be a communication network connector for receiving collected input signals from the first device and the second device.

[0148] In addition, the input device 13 may also include, for example, a keyboard, a mouse, and the like.

[0149] The output device 14 can output various information to the outside, including the determined distance information, direction information, etc. The output device 14 can include, for example, a display, a speaker, a printer, a communication network and a remote output device connected thereto, and the like.

[0150] Of course, to simplify, Fig.11 Only some of the components related to the present application in the electronic device 10 are shown, and components such as a bus, an input / output interface, etc. are omitted. In addition, according to specific application situations, the electronic device 10 may also include any other appropriate components.

[0151] In addition to the above-mentioned methods and devices, an embodiment of the present application may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps of the power balance monitoring method based on the power system according to various embodiments of the present application described in the above-mentioned "Exemplary Method" section of this specification.

[0152] The computer program product may be written in any combination of one or more programming languages ​​to write program codes for performing the operations of the embodiments of the present application, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0153] In addition, an embodiment of the present application may also be a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the processor executes the steps of the power balance monitoring method based on the power system according to various embodiments of the present application described in the above "Exemplary Method" section of this specification.

[0154] Computer readable storage media can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0155] The basic principles of the present application are described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, effects, etc. mentioned in the present application are only examples and not limitations, and it cannot be considered that these advantages, strengths, effects, etc. are required by each embodiment of the present application. In addition, the specific details disclosed above are only for the purpose of illustration and ease of understanding, not for limitation, and the above details do not limit the present application to being implemented by adopting the above specific details.

[0156] The block diagrams of the devices, apparatuses, equipment, and systems involved in this application are only illustrative examples and are not intended to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagram. As will be appreciated by those skilled in the art, these devices, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including", "comprising", "having", etc. are open words, referring to "including but not limited to", and can be used interchangeably with them. The words "or" and "and" used here refer to the words "and / or" and can be used interchangeably with them, unless the context clearly indicates otherwise. The words "such as" used here refer to the phrase "such as but not limited to", and can be used interchangeably with them.

[0157] It should also be noted that in the apparatus, device and method of the present application, each component or each step can be decomposed and / or recombined. Such decomposition and / or recombination should be regarded as equivalent solutions of the present application.

[0158] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of the present application. Therefore, the present application is not intended to be limited to the aspects shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

[0159] The above description has been given for the purpose of illustration and description. In addition, this description is not intended to limit the embodiments of the present application to the forms disclosed herein. Although multiple example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, changes, additions and sub-combinations thereof.

Claims

1. A method for monitoring power balance based on a power system, characterized in that: include: Obtain the power load forecast results after being affected by new energy sources; Obtain the power load value affected by demand-side response; Obtain the power impact of the energy storage equipment on the grid load on the user side, the power value of the grid side energy storage equipment, and the power value of the distributed new energy storage equipment; The power load forecast value is calculated based on the power load forecast result after the influence of the new energy, the power load value affected by the demand side response, the influence of the energy storage device on the grid load on the user side, the power value of the grid side energy storage device and the power value of the distributed new energy energy storage device; as well as Determining an adjustment strategy according to the power load forecast value and preset conditions; The power load value obtained by obtaining the demand side response impact includes: Obtain the load amount participating in demand-side response; Obtain electricity price data at each time; The power load value is calculated based on the load amount responded by the demand side and the electricity price data at each time, and the calculation formula is formula (1); in: ΔP storage The load change caused by demand-side response; P request is the load amount participating in demand-side response; ξ is the price (electricity price data at each moment), and its value range is [ξmin,ξmax]; The power formula for obtaining the impact of the energy storage device on the grid load at the user side is formula (2); in: ΔP storage The impact of user-side energy storage equipment on grid load, energy storage is positive and power generation is negative; ξ is the electricity price; ξmin is the valley electricity price; ξmax is the peak electricity price; ξref_stor is the reference electricity price during the energy storage period; ξref_gen is the reference electricity price during the power generation period; W STOR_MAX is the maximum storable power; W MAX The maximum storage capacity of the energy storage element; W storage is the amount of electricity stored; The obtaining of the power value of the grid-side energy storage device and the power value of the distributed new energy storage device includes: If the available storage / generation capacity is greater than the amount of electricity to be stored / released, the power storage and generation of the grid-side energy storage device is expressed as formula (3), and the power storage and generation of the distributed new energy storage device is expressed as formula (4); P storage_grid =min{(P average -P forecast ),P max-in } P generate_grid =min{(P forecast -P average ),P max-out } (3) P torage_distri =min{(P average -P forecast ),P pvd ,P max-in } P generate_distri =-min{(f orecast -P average ),P max-out } (4) If the available storage / generation capacity is less than the amount of electricity to be stored / released, the power storage and generation of the grid-side energy storage device is expressed as formula (5), and the power storage and generation of the distributed new energy storage device is expressed as formula (6); in: p storage_grid The power generated by the energy storage equipment on the grid side (energy storage is positive, power generation is negative); p generate_grid is the power value of distributed new energy storage equipment (energy storage is positive, power generation is negative); p average is the daily average load; p forecast To predict load; p max-in is the maximum power that can be stored in the energy storage device; p max-out The maximum amount of electricity that the energy storage device can generate; t1 is the starting time when the predicted load is lower than the daily average load; t2 is the end time when the forecast load is lower than the daily average load; t3 is the starting time when the predicted load is higher than the daily average load; t4 is the end time when the forecast load is higher than the daily average load; t 11 is p in a certain energy storage period dfa The starting time equal to the forecast load; t 21 is p in a certain energy storage period dfa The end time equal to the forecast load; t 31 is p in a certain power generation period dfa The starting time equal to the forecast load; t 41 is p in a certain power generation period dfa The end time equal to the forecast load; The formula for calculating the power load forecast value based on the power load forecast result after the influence of the new energy, the power load value affected by the demand side response, the influence of the energy storage device on the grid load on the user side, the power value of the grid side energy storage device and the power value of the distributed new energy energy storage device is: P L =P LB +△P response +△P storage +P storage_grid +P generate_grid in: P L is the predicted value of power load; P LB The power load forecast results considering the impact of new energy sources; △P response is the value of power load affected by demand-side response; △P storage The power load value affected by the energy storage equipment on the user side; P storage_grid The power value absorbed by the grid-side energy storage device; P generate_grid It is the power value absorbed by the distributed new energy storage equipment.

2. The power balance monitoring method based on the power system according to claim 1 is characterized in that: Determining the adjustment strategy according to the power load forecast value and the preset conditions includes: Obtaining the generated power on the power generation side; Calculating the generated power according to the generated power on the power generation side; An adjustment strategy is determined according to the power load forecast value, the generated power and preset conditions.

3. The power balance monitoring method based on the power system according to claim 2 is characterized in that: The obtaining of the generated power on the power generation side includes: The generated power on the power generation side is obtained; wherein the generated power includes the generated power of thermal power units, the wind power generated power after considering the influence of energy storage equipment, the centralized photovoltaic power generated power after considering the influence of energy storage equipment, the hydropower generated power and the interconnection line transmission flow.

4. The power balance monitoring method based on the power system according to claim 3 is characterized in that: The calculating the generated power according to the generated power on the generating side includes: The generated power is calculated based on the generated power of thermal power units, the generated power of wind power after considering the impact of energy storage equipment, the generated power of centralized photovoltaic power after considering the impact of energy storage equipment, the generated power of hydropower and the transmission flow of the interconnection line.

5. The method for monitoring power balance based on a power system according to claim 2, characterized in that: The determining of the adjustment strategy according to the power load forecast value, the generated power and the preset conditions includes: If the difference between the maximum value of the generated power and the power load forecast value at the same time is less than a first preset power threshold, determining a first adjustment strategy; If the difference between the power load prediction value and the minimum value of the generated power at the same time is smaller than a second preset power threshold, a second adjustment strategy is determined.

6. The method for monitoring power balance based on a power system according to claim 1, characterized in that: After determining the adjustment strategy according to the power load forecast value and the preset conditions, the method further includes: Plot multiple power load forecast values ​​into curves.

7. A power balance monitoring device based on a power system, characterized in that: include: The first acquisition module is used to obtain the power load forecast result after the influence of new energy; The second acquisition module is used to obtain the power load value affected by the demand side response; The power load value obtained by obtaining the demand side response impact includes: Obtain the load amount participating in demand-side response; Obtain electricity price data at each time; The power load value is calculated based on the load amount responded by the demand side and the electricity price data at each time, and the calculation formula is formula (1); in: ΔP storage The load change caused by demand-side response; P request is the load amount participating in demand-side response; ξ is the price (electricity price data at each moment), and its value range is [ξmin,ξmax]; The third acquisition module is used to obtain the power of the energy storage device on the user side that affects the grid load, the power value of the grid-side energy storage device, and the power value of the distributed new energy storage device; The power formula for obtaining the impact of the energy storage device on the grid load at the user side is formula (2); in: ΔP storage The impact of user-side energy storage equipment on grid load, energy storage is positive and power generation is negative; ξ is the electricity price; ξmin is the valley electricity price; ξmax is the peak electricity price; ξref_stor is the reference electricity price during the energy storage period; ξref_gen is the reference electricity price during the power generation period; W STOR_MAX is the maximum storable power; W MAX The maximum storage capacity of the energy storage element; W storage is the amount of electricity stored; The obtaining of the power value of the grid-side energy storage device and the power value of the distributed new energy storage device includes: If the available storage / generation capacity is greater than the amount of electricity to be stored / released, the power storage and generation of the grid-side energy storage device is expressed as formula (3), and the power storage and generation of the distributed new energy storage device is expressed as formula (4); P storage_grid =min{(P average -P forecast ),P max-in } P generate_grid =-min{(P forecast -P average ),P max-out } (3) P storage_distri =min{(P average -P forecast ),P pvd ,P max-in } P generate_distri =-min{(P forecast -P average ), P max-out ) (4) If the available storage / generation capacity is less than the amount of electricity to be stored / released, the power storage and generation of the grid-side energy storage device is expressed as formula (5), and the power storage and generation of the distributed new energy storage device is expressed as formula (6); in: p storage_grid Power generated by grid-side energy storage equipment; p generate_grid It is the power value of distributed new energy storage equipment; p average is the daily average load; p forecast To predict load; p max-in is the maximum power that can be stored in the energy storage device; p max-out The maximum amount of electricity that the energy storage device can generate; t1 is the starting time when the predicted load is lower than the daily average load; t2 is the end time when the forecast load is lower than the daily average load; t3 is the starting time when the predicted load is higher than the daily average load; t4 is the end time when the forecast load is higher than the daily average load; t 11 is p in a certain energy storage period dfa The starting time equal to the forecast load; t 21 is p in a certain energy storage period dfa The end time equal to the forecast load; t 31 is p in a certain power generation period dfa The starting time equal to the predicted load; t 41 is p in a certain power generation period dfa The end time equal to the forecast load; A calculation module, configured to calculate a power load forecast value based on the power load forecast result after the influence of the new energy, the power load value influenced by the demand side response, the influence of the energy storage device on the grid load by the user side, the power value of the grid side energy storage device and the power value of the distributed new energy energy storage device; The formula for calculating the power load forecast value based on the power load forecast result after the influence of the new energy, the power load value affected by the demand side response, the influence of the energy storage device on the grid load on the user side, the power value of the grid side energy storage device and the power value of the distributed new energy energy storage device is: P L =P LB +△P response +△P storage +P storage_grid +P generate_grid in: P L is the predicted value of power load; P LB The power load forecast results considering the impact of new energy sources; △P response is the value of power load affected by demand-side response; △P storage The power load value affected by the energy storage equipment on the user side; P storage_grid The power value absorbed by the grid-side energy storage device; P generate_grid The value of electricity absorbed by the distributed renewable energy storage device; and The determination module is used to determine the adjustment strategy according to the power load forecast value and preset conditions.

8. A computer-readable storage medium storing a computer program, wherein the computer program is used to execute the power balance monitoring method based on the power system according to any one of claims 1 to 6.

9. An electronic device, comprising: processor; a memory for storing instructions executable by the processor; The processor is used to execute the power balance monitoring method based on the power system as described in any one of claims 1-6 above.

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