CN115483679A - Power balance monitoring method, device, medium and equipment based on power system - Google Patents
Power balance monitoring method, device, medium and equipment based on power system Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/48—Controlling the sharing of the in-phase component
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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Abstract
The application provides a power balance monitoring method, a device, a medium and equipment based on a power system, which comprise the following steps: acquiring a power load prediction result influenced by the new energy, and acquiring a power load numerical value influenced by response of a demand side; the method comprises the steps of obtaining the influence power of energy storage equipment on a power grid load at a user side, the power value of the energy storage equipment at the power grid side and the power value of distributed new energy storage equipment, calculating to obtain a power load predicted value according to a power load prediction result influenced by new energy, a power load value influenced by response at a demand side, the influence power of the energy storage equipment at the user side on the power grid load, the power value of the energy storage equipment at the power grid side and the power value of the distributed new energy storage equipment, and determining an adjustment strategy according to the power load predicted value and preset conditions. The power load value influenced by the response of the demand side and the influence power of the energy storage device on the power grid load are obtained to obtain an adjusting strategy, so that the power is balanced.
Description
Technical Field
The application relates to the technical field of monitoring, in particular to a power balance monitoring method, device, medium and equipment based on a power system.
Background
In the related art, the power balance is defined as generated power = used power (load). To ensure that the grid frequency is stabilized at 50 hz, the power generated by the whole grid must be equal to the power (load) in real time, and the power balance is calculated as follows: because the electric energy cannot be stored and the power load fluctuates in real time, in order to meet the real-time power balance, the generated power must have the capability of changing up and down in a section, so as to meet the change requirement of the power load. So-called power balance calculation, namely: (1) power output interval calculation: according to the starting mode of a thermal power generating unit, predicted output of new energy (wind power and photovoltaic), power supply power of a network interconnection line, water pumping/power generation during starting and stopping of a storage unit and the like, determining an upper interval and a lower interval in which the power of a certain power supply area can change within a plurality of hours (generally 8 hours) in the future, namely the maximum value and the minimum value of the power at any time t, and marking as Pt (Ptmin, ptmax); (2) load fluctuation interval calculation: the load fluctuation interval of a certain power supply area within a plurality of hours (generally 8 hours) in the future, namely the set of load prediction values at any time t is marked as Lt. (3) judging: whether the Lt belongs to (Ptmin, ptmax) or not is met, and if so, the power balance meets the requirement in a plurality of hours in the future; if the Pt value does not meet the requirement, the power balance does not meet the requirement, measures (such as adjusting the starting mode of the unit, applying for increasing/decreasing the supply of a tie line, deeply adjusting the unit, abandoning the limit of new energy and the like) need to be taken, the Pt value is adjusted until the requirement is met, the adjusting mode causes that data collection depends on manpower, statistics is complicated, mistakes are easy to make, and the influence of response of the energy storage equipment and the demand side on the power balance is not considered.
Disclosure of Invention
The present application is proposed to solve the above-mentioned technical problems. The application provides a power balance monitoring method, a power balance monitoring device, a power balance monitoring medium and power balance monitoring equipment based on a power system, and solves the problem that influences of energy storage equipment and demand side response on power balance calculation are not considered in the prior art.
In one aspect of the present application, a power balance monitoring method based on a power system is provided, including: acquiring a power load prediction result influenced by the new energy; acquiring a power load value influenced by the response of a demand side; the method comprises the steps of obtaining the influence power of energy storage equipment on a power grid load at a user side, the power value of the energy storage equipment at the power grid side and the power value of distributed new energy storage equipment; calculating to obtain a power load predicted value according to the power load predicted result influenced by the new energy, the power load numerical value influenced by the response of the demand side, the influence power of the energy storage equipment on the power grid load of the user side, the power value of the energy storage equipment on the power grid side and the power value of the distributed new energy storage equipment; and determining an adjustment strategy according to the predicted value of the power load and a preset condition.
In an embodiment, the determining an adjustment policy according to the predicted value of the power load and a preset condition includes: acquiring power generation power of a power generation side; calculating to obtain generated power according to the generated power at the power generation side; and determining an adjustment strategy according to the predicted value of the power load, the generated power and a preset condition.
In one embodiment, the obtaining of the generated power of the power generation side includes: acquiring power generation power of a power generation side; the power generation power comprises power generation power of a thermal power generating unit, wind power generation power after the influence of the energy storage equipment is considered, centralized photovoltaic power generation power after the influence of the energy storage equipment is considered, hydroelectric power generation power and a tie line transmission trend.
In an embodiment, the calculating the generated power according to the generated power of the power generation side includes: the method comprises the steps of calculating to obtain the generated power according to the generated power of a thermal power generating unit, the wind power generated power after considering the influence of energy storage equipment, the centralized photovoltaic power generation power after considering the influence of the energy storage equipment, the hydroelectric power generation power and the connecting line transmission trend.
In an embodiment, the determining an adjustment strategy according to the predicted power load value, the generated power and a preset condition includes: if the difference between the maximum value of the generated power and the predicted value of the power load at the same moment is smaller than a first preset power threshold value, determining a first adjustment strategy; and if the difference between the predicted value of the power load and the minimum value of the generated power at the same moment is smaller than a second preset power threshold value, determining a second adjustment strategy.
In one embodiment, the obtaining the power load value affected by the demand side response comprises: acquiring the load quantity participating in the response of the demand side; acquiring electricity price data at each moment; and calculating to obtain the power load numerical value according to the load amount responded by the demand side and the electricity price data at each moment.
In an embodiment, after determining the adjustment strategy according to the predicted value of the power load and a preset condition, the method for monitoring the power balance based on the power system further includes: and drawing a curve by the plurality of predicted power load values.
In another aspect of the present application, a power balance monitoring device based on a power system is provided, including: the first acquisition module is used for acquiring a power load prediction result influenced by new energy; the second acquisition module is used for acquiring a power load value influenced by the response of the demand side; the third acquisition module is used for acquiring the influence power of the energy storage equipment at the user side on the power grid load, the power value of the energy storage equipment at the power grid side and the power value of the distributed new energy storage equipment; the calculation module is used for calculating to obtain a power load predicted value according to the power load prediction result influenced by the new energy, the power load numerical value influenced by the demand side response, the influence power of the energy storage equipment on the power grid load of the user side, the power value of the energy storage equipment on the power grid side and the power value of the distributed new energy storage equipment; and the determining module is used for determining an adjusting strategy according to the predicted value of the power load and a preset condition.
In another aspect of the present application, a computer-readable storage medium is provided, where the storage medium stores a computer program for executing any one of the above power system-based power balance monitoring methods.
In another aspect of the present application, an electronic device is provided, which includes:
a processor; a memory for storing the processor-executable instructions; the processor is configured to execute any one of the above 7 power balance monitoring methods based on a power system.
The application provides a power balance monitoring method, a device, a medium and equipment based on a power system, which comprise the following steps: acquiring a power load prediction result influenced by the new energy, and acquiring a power load value influenced by the response of a demand side; the method comprises the steps of obtaining the influence power of energy storage equipment on a power grid load at a user side, the power value of the energy storage equipment at the power grid side and the power value of distributed new energy storage equipment, calculating to obtain a power load predicted value according to a power load prediction result influenced by new energy, a power load numerical value influenced by response of a demand side, the influence power of the energy storage equipment at the user side on the power grid load, the power value of the energy storage equipment at the power grid side and the power value of the distributed new energy storage equipment, and determining an adjustment strategy according to the power load predicted value and preset conditions. The power load value influenced by the response of the demand side and the influence power of the energy storage device on the power grid load are obtained to obtain an adjusting strategy, so that the power is balanced.
Drawings
The above and other objects, features and advantages of the present application will become more apparent by describing in more detail embodiments of the present application with reference to the attached drawings. The accompanying drawings are included to provide a further understanding of the embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. In the drawings, like reference numbers generally represent like parts or steps.
Fig. 1 is a power balance monitoring method based on a power system according to an exemplary embodiment of the present application.
Fig. 2 is a flowchart of energy storage period reference electricity price acquisition according to an exemplary embodiment of the present application.
Fig. 3 is a flow chart for acquiring reference electricity prices for a power generation period according to an exemplary embodiment.
Fig. 4 is a power grid side energy storage device energy storage period p provided in an exemplary embodiment of the present application dfa And solving the flow chart.
Fig. 5 is an energy storage period p of a distributed new energy storage device according to an exemplary embodiment of the present application dfa And solving the flow chart.
FIG. 6 shows an energy storage device power generation period p provided by an exemplary embodiment of the present application dfa And solving the flow chart.
Fig. 7 is a method for determining an adjustment policy according to an exemplary embodiment of the present application.
Fig. 8 is a method for determining an adjustment policy according to another exemplary embodiment of the present application.
Fig. 9 is a schematic structural diagram of a power balance monitoring device based on a power system according to an exemplary embodiment of the present application.
Fig. 10 is a schematic structural diagram of a power balance monitoring device based on a power system according to another exemplary embodiment of the present application.
Fig. 11 is a block diagram of an electronic device according to an exemplary embodiment of the present application.
Detailed Description
Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be understood that the described embodiments are only some embodiments of the present application and not all embodiments of the present application, and that the present application is not limited by the example embodiments described herein.
Fig. 1 is a power balance monitoring method based on a power system according to an exemplary embodiment of the present application. Fig. 2 is a flowchart of energy storage period reference electricity price acquisition according to an exemplary embodiment of the present application. Fig. 3 is a flow chart of reference electricity price acquisition for a power generation period according to an exemplary embodiment. As shown in fig. 1-3, the power balance monitoring method based on the power system includes:
step 110: and acquiring a power load prediction result influenced by the new energy.
Step 120: and acquiring the power load value influenced by the response of the demand side.
In the embodiment of the present invention, "acquiring a power load value affected by a demand side response" includes:
(11) And acquiring the load amount participating in the response of the demand side.
(12) And acquiring the electricity price data at each moment.
(13) And calculating to obtain a power load numerical value according to the load amount responded by the demand side and the electricity price data at each moment.
The demand-side response system prediction principle can be expressed as formula 1:
wherein:
ΔP response the amount of change in load caused for the demand-side response;
the request is the load amount participating in the demand side response;
xi is the price (electricity price data at each moment), and the value range is [ xi min, xi max ];
will be delta P response And the power load prediction curve considering the response of the demand side can be obtained by superposing the power load prediction curve on the existing system power load prediction curve.
Step 130: the method comprises the steps of obtaining the influence power of energy storage equipment on a power grid load at a user side, the power value of the energy storage equipment at the power grid side and the power value of distributed new energy storage equipment.
The influence of the energy storage device on the load at the user side can be described by equation 2, and the lower the electricity price, the more energy is stored, and conversely, the more electricity is generated.
Wherein:
the delta Pstorage is the influence power of the energy storage equipment at the user side on the load of the power grid, the energy storage is positive, and the power generation is negative;
xi is the electricity price;
xi min is the low valley electricity price;
ξ max is the peak electricity price;
ξ ref _ stor is the energy storage period reference electricity price, the value of which is obtained from fig. 2;
ξ ref _ gen is the electricity price of the reference electricity price for the electricity generation period, the numerical value of which is obtained from fig. 3;
W STOR_MAX the maximum storable electric quantity;
W MAX the maximum electric energy storage capacity of the energy storage element is obtained;
W storage is the amount of power stored.
As shown in fig. 2, inputs count =0 (counting from 0), ξ = y (t),
ξlow＝ξmin,ξup＝ξmax,W STOR_MAX ＝W MAX ―W storage . Computing
And
w is t 1 s to t 2 The stored electric quantity in s time period is judged to be W STOR_MAX Whether the current is larger than or equal to W, if so, judging whether the count is 0, if so, outputting xi ref _ stor, and if W is not larger than or equal to W STOR_MAX If less than W, ξ low = ξ low, ξ up = ξ ref _ stor,
then count plus 1, i.e. count = count +1, and switch back to the calculation
If the count is not 0, then W is determined STOR_MAX Whether W is less than or equal to xi, if W STOR_MAX W is less than or equal to ξ, then ξ ref _ stor is output. If W STOR_MAX W is greater than ξ, then ξ low = ξ ref _ stor, ξ up = ξ up,
then switch back to computing
The meaning of ξ = y (t) is that electricity price is a function of time, available time represents electricity price, wmax is the maximum stored electricity quantity of the energy storage element, wstorage is stored electricity quantity, wstor _ max is the maximum storable electricity quantity, t1s is the initial moment when electricity price is equal to reference electricity price in the valley period of electricity price, and t2s is the last moment when electricity price is equal to reference electricity price in the valley period of electricity price.
As shown in fig. 3, inputs count =0 (counting from 0), ξ = y (t),
ξlow＝ξmin,ξup＝ξmax,W gen_max ＝W storage . Calculating out
Determine W gen Whether or not W is greater than or equal to W, W being t 1 g to t 2 Power generation during g periodAmount, if W gen If the count is 0, i.e., count =0, ξ ref _ gen is output. If W gen Less than W, ξ low = ξ ref _ gen, ξ up = ξ up,
and count plus 1, i.e. count = count +1, and then switch back to the calculation
If the count is not 0, then W gen_max Whether W is less than or equal to xi, if yes, xi ref gen is output, if no, xi low = xi low, xi up = xi ref gen,
then convert back to computing
The meaning of ξ = y (t) is that electricity price is a function of time, available time represents electricity price, wstorage is stored electricity amount, wgen _ max is maximum electricity generation amount, t1g is an initial time when electricity price equals reference electricity price during an electricity price peak period, and t2g is a last time when electricity price equals reference electricity price during an electricity price peak period.
The power grid side energy storage equipment plays a role of a distributed power supply, and as with the power supply side distributed new energy storage equipment, the power grid side energy storage equipment stores power in a load valley period and generates power in a peak period, so that the effect of peak clipping and valley filling is achieved. In order to utilize the storage and delivery capacity of the energy storage device as much as possible, the energy storage control strategy is as follows:
if the available storage/power generation capacity is larger than the electric quantity to be stored/released, the power storage and generation capacity of the energy storage equipment on the power grid side is expressed as an expression (3), and the power storage and generation capacity of the distributed new energy storage equipment is expressed as an expression (4).
If the available storage/power generation capacity is smaller than the electric quantity to be stored/released, the power storage and power generation capacity of the energy storage equipment on the power grid side is expressed as an expression (5), and the power storage and power generation capacity of the distributed new energy storage equipment is expressed as an expression (6).
Wherein:
p storage_grid generating power for the power grid side energy storage equipment (the stored energy is positive, and the generated power is negative);
p generate_grid the power value of the distributed new energy storage equipment is (the stored energy is positive, and the power generation is negative);
p average is the daily average load;
p forecast to predict load;
p max―in maximum power that can be stored for the energy storage device;
p max―out the maximum power that the energy storage device can generate;
t 1 a starting time at which the predicted load is lower than the daily average load;
t 2 predicting the ending moment when the load is lower than the daily average load;
t 3 is the starting moment when the predicted load is higher than the daily average load;
t 4 predicting the ending moment when the load is higher than the daily average load;
t 11 for a certain energy storage period of time p dfa A start time equal to the predicted load;
t 21 for a certain energy storage period of time p dfa A termination time equal to the predicted load;
t 31 for p within a certain power generation period dfa A start time equal to the predicted load;
t 41 for p in a certain power generation period dfa A termination time equal to the predicted load;
fig. 4 is a power grid side energy storage device energy storage period p provided in an exemplary embodiment of the present application dfa And solving the flow chart. Fig. 5 is an energy storage period p of a distributed new energy storage device according to an exemplary embodiment of the present application dfa And solving the flow chart. FIG. 6 shows an energy storage device power generation period p provided by an exemplary embodiment of the present application dfa And solving the flow chart. As shown in FIGS. 4-6, p dfa In order to use up the reference power at the beginning/end of the storage/generation power of the energy storage equipment after the capacity of the energy storage equipment is used up, the energy storage period p of the energy storage equipment at the side of the power grid dfa Solving process is shown in fig. 4, and the energy storage period p of the distributed new energy storage device dfa Solving process as shown in fig. 5, the energy storage device generates electricity in period p dfa The solving flow is shown in fig. 6.
The epsilon is 1MWh.
W max-in The maximum amount of electricity that can be stored for the energy storage device;
W max-out the maximum electric quantity which can be sent by the energy storage equipment;
as shown in fig. 4, input p up ＝p average ，p low ＝min{p forecast }(t 1 ≤t≤t 2 )，p dfa ＝p up Calculating p storage_grid ＝min{p dfa ―p forecast ,p max―in }, judging W max-in Whether or not it is greater than or equal to
If W max-in Greater than or equal to
Then judge
Whether less than or equal to epsilon.
If it is
Is less than or equal to epsilon, then p is output dfa If, if
Smaller than ε, then p up ＝p up ，p low ＝p dfa ,
Then go back to calculate p storage_grid ＝min{p dfa ―p forecast ,p max―in }. If W max-in Is less than
Then p is up ＝p dfa ，
Go back to calculate p storage_grid ＝min {p dfa ―p forecast ,p max―in }。
As shown in fig. 5, input p up ＝p average ，p low ＝min{p forecast }(t 1 ≤t≤t 2 )，p dfa ＝p up Calculating p storage_grid ＝min{p dfa ―p forecast ,p pvd ,p max―in }, judging W max-in Whether or not greater than
If it is
Less than or equal to epsilon, then p is output dfa . If it is
Then p is up ＝p up ，p low ＝p dfa ，
If W max-in Is less than
Then p is up ＝p dfa ，p low ＝p low ，
Then go back to calculate p storage_grid ＝min{p dfa ―p forecast ,p max―in }。
As shown in fig. 6, input p low ＝p average ，p up ＝max{p forecast }(t 3 ≤t≤t 4 ),p dfa ＝p low Calculating p gen ＝min{p forecast ―p dfa ,p max―out }, judging W max-out Whether or not greater than
If W max-out Is greater than
Then judge
Whether less than or equal to ε, if
Less than or equal to epsilon, then p is output dfa . If it is
Is greater thanε, then p up ＝p dfa ，p low ＝p low ，
Then go back to calculate p gen ＝min {p forecast ―p dfa ,p max―out }. If W max-out Is less than or equal to
Then p is up ＝p up ，p low ＝p dfa ，
Then go back to calculate p gen ＝min{p forecast ―p dfa ,p max―out }。
Step 140: and calculating to obtain a power load predicted value according to a power load prediction result influenced by the new energy, a power load numerical value influenced by the response of the demand side, the influence power of the energy storage equipment of the user side on the power grid load, the power value of the energy storage equipment of the power grid side and the power value of the distributed new energy storage equipment.
Predicted value P of power load L ＝P LB +△P response +△P storage +P storage_grid +P generate_grid ；
P LB A power load prediction result (existing system) for considering new energy influence;
△P response a power load value that is a demand side response impact;
△P storage the numerical value of the power load influenced by the energy storage equipment at the user side (the energy storage is positive, and the power generation is negative);
P storage_grid the value of the power absorbed by the energy storage equipment on the power grid side (the stored energy is positive, and the power generation is negative);
P generate_grid the value of the power absorbed by the distributed new energy storage equipment (the stored energy is positive, and the power generation is negative).
Step 150: and determining an adjustment strategy according to the predicted value of the power load and a preset condition.
Fig. 7 is a method for determining an adjustment policy according to an exemplary embodiment of the present application. As shown in fig. 7, step 150 may include:
step 151: the generated power on the power generation side is acquired.
The power generation side energy storage equipment is divided into centralized new energy storage equipment and distributed new energy storage equipment which are used for storing the generated power of the new energy in real time. The centralized new energy storage equipment can be incorporated into an automatic generation control program (AGC) so as to control the output of new energy; the distributed new energy storage equipment is used for storing and generating the generated power of the distributed photovoltaic, the final result of the distributed new energy storage equipment is reflected on load increase and decrease and is consistent with the effect of the energy storage equipment on the power grid side, the detailed calculation process can refer to the calculation formula (3-6) on the power grid side, and the energy storage strategy corresponding to the centralized new energy storage equipment refers to the following calculation mode:
when the centralized new energy storage device has the electricity storage capacity (the stored electricity quantity of the energy storage device is greater than or equal to 0 and less than the maximum stored electricity quantity of the energy storage device) or the electricity generation capacity (the stored electricity quantity of the energy storage device is greater than 0 and less than or equal to the maximum stored electricity quantity of the energy storage device), the new energy electricity generation power after the influence of the energy storage device is considered can be described by the formula 7:
wherein:
pwind-final is wind power generation power considering the influence of energy storage equipment;
pwind is wind power generation power;
ppvc-final is centralized photovoltaic power generation power considering the influence of energy storage equipment;
ppvc is centralized photovoltaic power generation power;
PGWstorage is wind power generation capacity (the storage is positive, and the generation is negative), and the numerical value is obtained by an AGC control program;
the PGPstorage is centralized photovoltaic power storage and generation capacity (stored as positive and generated as negative), and the numerical value of the PGPstorage is obtained by an AGC control program;
pmax-in is the maximum stored power of the energy storage equipment;
pmax-out is the maximum generated power of the energy storage device.
When the energy storage device does not have the electricity storage capacity or the electricity generation capacity, the energy is described by the formula 8:
step 152: and calculating the generated power according to the generated power on the power generation side.
Step 153: and determining an adjustment strategy according to the predicted value of the power load, the generated power and the preset conditions.
In one embodiment, step 151 may be implemented as: the method comprises the steps of obtaining the generated power of a power generation side, wherein the generated power comprises the generated power of a thermal power generating unit, the wind power generated power after considering the influence of energy storage equipment, the centralized photovoltaic power, the hydroelectric power and the connecting line transmission tide after considering the influence of the energy storage equipment.
In one embodiment, step 152 may be implemented as: and calculating to obtain the generated power according to the generated power of the thermal power generating 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 hydroelectric power generation power and the connecting line transmission power flow.
The generated power PG = Pthermal + Pwind-final + Ppvc-final + Pwater + Plink;
wherein Pthermal is the power generation power of the thermal power generating unit;
pwind-final is wind power generation power under the influence of energy storage equipment;
ppvc-final is centralized photovoltaic power generation power considering the influence of energy storage equipment;
the Pwater is hydroelectric power (positive power generation and negative pumped storage);
plink is the junctor carrying flow (input positive, output negative).
Fig. 8 is a method for determining an adjustment policy according to another exemplary embodiment of the present application. As shown in fig. 8, step 153 may include:
step 1531: and if the difference between the maximum value of the generated power and the predicted value of the power load at the same moment is smaller than a first preset power threshold value, determining a first adjustment strategy.
the maximum generating power max { PG } at the time t (technology maximum) -the predicted value PL of the power load at the time t is less than 100 ten thousand kilowatts, and an adjustment strategy suggestion is given by considering the following factors: pumped storage water level, external force support, etc.
Step 1532: and if the minimum value of the predicted power load value and the generated power at the same moment is smaller than the difference of a second preset power threshold value, determining a second adjustment strategy.
And (3) giving an adjustment strategy suggestion by considering the following factors:
1) And a reasonable deep adjustment sequence is customized according to the history deep adjustment record of the straight condensing unit, the starting mode of the unit, the defect condition of the unit and the deep adjustment capacity.
2) And (4) establishing a shutdown sequence by combining the information of the current power spot market information, the current year/month power generation progress of a power generation unit and the like.
In one embodiment, 120 is specifically configured to: and acquiring the load amount participating in the response of the demand side. And acquiring the electricity price data at each moment. And calculating to obtain a power load numerical value according to the load amount responded by the demand side and the electricity price data at each moment.
In an embodiment, after determining the adjustment strategy according to the predicted value of the power load and the preset condition, the method for monitoring the power balance based on the power system further includes: and drawing a curve by the plurality of predicted power load values.
And outputting the maximum technical curve, the load curve and the minimum technical curve in the future t hours, and displaying the upper and lower standby numerical values at any time. The upper backup data represents data corresponding to a maximum generated power max { PG } at time t (technical maximum) -a power load prediction value PL > 100 ten-thousand kilowatts at time t. The lower standby data represents the predicted value P of the power load at the time t L Minimum generated Power min { P) at time-t G Data for > 30 ten thousand kilowatts.
Fig. 9 is a schematic structural diagram of a power balance monitoring device based on a power system according to an exemplary embodiment of the present application. As shown in fig. 9, the power balance monitoring apparatus 20 based on the power system includes: a first obtaining module 201, configured to obtain a power load prediction result affected by a new energy; a second obtaining module 202, configured to obtain a power load value affected by a demand side response; a third obtaining module 203, configured to obtain an electric power of the energy storage device on the user side, an electric power value of the energy storage device on the grid side, and an electric power value of the distributed new energy storage device; the calculation module 204 is configured to calculate a power load predicted value according to a power load prediction result affected by the new energy, a power load numerical value affected by a demand-side response, power affected by the energy storage device on the user side on the power grid load, a power value of the energy storage device on the power grid side, and a power value of the distributed new energy storage device; and a determining module 205, configured to determine an adjustment strategy according to the predicted value of the power load and a preset condition.
Fig. 10 is a schematic structural diagram of a power balance monitoring device based on a power system according to another exemplary embodiment of the present application. As shown in fig. 10, the determining module 205 may include: a power acquisition unit 2051 for acquiring generated power on the power generation side; a calculation unit 2052 configured to calculate generated power from the generated power on the power generation side; an adjusting unit 2053 is configured to determine an adjustment policy according to the predicted power load value, the generated power, and a preset condition.
In an embodiment, as shown in fig. 10, the power obtaining unit 2051 may be specifically configured to: acquiring power generation power of a power generation side; the power generation power comprises power generation power of a thermal power generating unit, wind power generation power after considering the influence of the energy storage equipment, centralized photovoltaic power generation power after considering the influence of the energy storage equipment, hydroelectric power generation power and a connecting line transmission trend.
In one embodiment, as shown in fig. 10, the computing unit 2052 may be specifically configured to: and calculating to obtain the generated power according to the generated power of the thermal power generating 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 hydroelectric power generation power and the connecting line transmission power flow.
In an embodiment, as shown in fig. 10, the adjusting unit 2053 may be specifically configured to: if the difference between the maximum value of the generated power and the predicted value of the power load at the same moment is smaller than a first preset power threshold value, determining a first adjustment strategy; and if the minimum value of the predicted power load value and the generated power at the same moment is smaller than the difference of a second preset power threshold value, determining a second adjustment strategy.
In an embodiment, the second obtaining module 202 may be specifically configured to: acquiring the load quantity participating in the response of the demand side; acquiring electricity price data at each moment; and calculating to obtain a power load numerical value according to the load amount responded by the demand side and the electricity price data at each moment.
In an embodiment, as shown in fig. 10, after determining the adjustment strategy according to the predicted value of the power load and the preset condition, the power balance monitoring apparatus based on the power system may further include:
a drawing unit 206, configured to draw the plurality of power load prediction values into a curve.
Next, an electronic apparatus according to an embodiment of the present application is described with reference to fig. 11. The electronic device may be either or both of the first device and the second device, or a stand-alone device separate from them, which stand-alone device may communicate with the first device and the second device to receive the acquired input signals therefrom.
FIG. 11 illustrates a block diagram of an electronic device in accordance with an embodiment of the present application.
As shown in fig. 11, the electronic device 10 includes one or more processors 11 and memory 12.
The processor 11 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device 10 to perform desired functions.
In one example, the electronic device 10 may further include: an input device 13 and an output device 14, which are interconnected by a bus system and/or other form of connection mechanism (not shown).
For example, when the electronic device is a stand-alone device, the input means 13 may be a communication network connector for receiving the acquired input signals from the first device and the second device.
The input device 13 may also include, for example, a keyboard, a mouse, and the like.
The output device 14 may output various information including the determined distance information, direction information, and the like to the outside. The output devices 14 may include, for example, a display, speakers, a printer, and a communication network and its connected remote output devices, among others.
Of course, for the sake of simplicity, only some of the components of the electronic device 10 relevant to the present application are shown in fig. 11, and components such as buses, input/output interfaces, and the like are omitted. In addition, the electronic device 10 may include any other suitable components depending on the particular application.
In addition to the above-described methods and apparatus, embodiments of the present application may also be a computer program product comprising computer program instructions that, when executed by a processor, cause the processor to perform the steps in the power system based power balance monitoring method according to various embodiments of the present application described in the "exemplary methods" section above of this specification.
The computer program product may include program code for carrying out operations for embodiments of the present application in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present application may also be a computer-readable storage medium having stored thereon computer program instructions that, when executed by a processor, cause the processor to perform the steps in the power system-based power balance monitoring method according to various embodiments of the present application described in the "exemplary methods" section above in this specification.
A computer-readable storage medium may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may include, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The basic principles of the present application have been described above with reference to specific embodiments, but it should be noted that advantages, effects, etc. mentioned in the present application are only examples and are not limiting, and the advantages, effects, etc. must not be considered to be possessed by various embodiments of the present application. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the foregoing disclosure is not intended to be exhaustive or to limit the disclosure to the precise details disclosed.
The block diagrams of devices, apparatuses, devices, systems referred to in this application are only used as illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. These devices, apparatuses, devices, systems may be connected, arranged, configured in any manner, as will be appreciated by one skilled in the art. Words such as "including," "comprising," "having," and the like are open-ended words that mean "including, but not limited to," and are used interchangeably therewith. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".
It should also be noted that in the devices, apparatuses, and methods of the present application, the components or steps may be decomposed and/or recombined. These decompositions and/or recombinations should be considered as equivalents of the present application.
The previous 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 generic principles defined herein may be applied to other aspects without departing from the scope of the application. Thus, the present application is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, the description is not intended to limit embodiments of the application to the form disclosed herein. While a number of example aspects and embodiments have been discussed above, those of skill in the art will recognize certain variations, modifications, alterations, additions and sub-combinations thereof.
Claims (10)
1. A power balance monitoring method based on a power system is characterized by comprising the following steps:
acquiring a power load prediction result influenced by the new energy;
acquiring a power load value influenced by the response of a demand side;
the method comprises the steps of obtaining the influence power of energy storage equipment on a power grid load at a user side, the power value of the energy storage equipment at the power grid side and the power value of distributed new energy storage equipment;
calculating to obtain a power load predicted value according to the power load predicted result influenced by the new energy, the power load numerical value influenced by the demand side response, the influence power of the energy storage equipment on the power grid load by the user side, the power value of the energy storage equipment on the power grid side and the power value of the distributed new energy storage equipment; and
and determining an adjustment strategy according to the predicted value of the power load and a preset condition.
2. The power system-based power balance monitoring method according to claim 1, wherein the determining an adjustment strategy according to the predicted power load value and a preset condition comprises:
acquiring power generation power of a power generation side;
calculating to obtain generated power according to the generated power at the power generation side;
and determining an adjustment strategy according to the predicted value of the power load, the generated power and a preset condition.
3. The power system-based power balance monitoring method according to claim 2, wherein the acquiring of the generated power of the power generation side includes:
acquiring power generation power of a power generation side; the power generation power comprises power generation power of a thermal power generating unit, wind power generation power after the influence of the energy storage equipment is considered, centralized photovoltaic power generation power after the influence of the energy storage equipment is considered, hydroelectric power generation power and a tie line transmission trend.
4. The power-system-based power balance monitoring method according to claim 3, wherein the calculating generated power from the generated power of the power generation side includes:
the method comprises the steps of calculating to obtain the generated power according to the generated power of a thermal power generating unit, the wind power generated power after considering the influence of energy storage equipment, the centralized photovoltaic power generated power after considering the influence of the energy storage equipment, the hydroelectric power generated power and the connecting line transmission power flow.
5. The power system-based power balance monitoring method according to claim 2, wherein the determining an adjustment strategy according to the predicted power load value, the generated power and a preset condition comprises:
if the difference between the maximum value of the generated power and the predicted value of the power load at the same moment is smaller than a first preset power threshold value, determining a first adjustment strategy;
and if the difference between the predicted value of the power load and the minimum value of the generated power at the same moment is smaller than a second preset power threshold value, determining a second adjustment strategy.
6. The power system-based power balance monitoring method according to claim 1, wherein the obtaining the power load value affected by the demand side response comprises:
acquiring the load quantity participating in the response of the demand side;
acquiring electricity price data at each moment;
and calculating to obtain the power load numerical value according to the load amount responded by the demand side and the electricity price data at each moment.
7. The power system-based power balance monitoring method according to claim 1, wherein after determining an adjustment strategy according to the predicted power load value and a preset condition, the method further comprises:
and drawing a curve by the plurality of predicted power load values.
8. A power balance monitoring device based on a power system, comprising:
the first acquisition module is used for acquiring a power load prediction result influenced by the new energy;
the second acquisition module is used for acquiring a power load value influenced by the response of the demand side;
the third acquisition module is used for acquiring the influence power of the energy storage equipment at the user side on the power grid load, the power value of the energy storage equipment at the power grid side and the power value of the distributed new energy storage equipment;
the calculation module is used for calculating to obtain a power load predicted value according to the power load prediction result influenced by the new energy, the power load numerical value influenced by the demand side response, the influence power of the energy storage equipment on the power grid load of the user side, the power value of the energy storage equipment on the power grid side and the power value of the distributed new energy storage equipment; and
and the determining module is used for determining an adjusting strategy according to the predicted value of the power load and a preset condition.
9. A computer-readable storage medium storing a computer program for executing the power balance monitoring method according to any one of claims 1 to 7.
10. An electronic device, the electronic device comprising:
a processor;
a memory for storing the processor-executable instructions;
the processor is configured to perform the power balance monitoring method based on the power system according to any one of claims 1 to 7.
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