CN115483679A - Power system-based power balance monitoring method, device, medium and equipment - Google Patents

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

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

technical field

The present application relates to the technical field of monitoring, and in particular to a power system-based power balance monitoring method, device, medium and equipment.

Background technique

In the prior art, power balance is defined as generated power = power consumption (load). In order to ensure that the frequency of the power grid is stable at 50 Hz, the power generated by the entire network must be equal to the power (load) in real time, and the power balance calculation: because the power cannot be stored, and the power load fluctuates in real time, in order to meet the real-time balance of power, the generated power must have The ability to change up and down in a range to meet the changing demand of electricity load. The so-called power balance calculation, namely: (1) Calculation of the power output range: determine the future based on the start-up mode of thermal power units, the predicted output of new energy (wind power, photovoltaic), the power supply of the grid connection line, the start and stop of pumped storage units to pump water/power generation, etc. The upper and lower intervals of power fluctuations in a certain power supply area within several hours (generally 8 hours), that is, the maximum and minimum values of power at any time t, are denoted as Pt(Ptmin, Ptmax); (2) Calculation of load fluctuation intervals: future The load fluctuation interval of a certain power supply area within several hours (generally 8 hours), that is, the set of load forecast values at any time t, is denoted as Lt. (3) Judgment: whether Lt∈(Ptmin, Ptmax) is satisfied, if it is satisfied, the power balance will meet the requirements in the next few hours; supply increase/decrease of connection line, deep adjustment of units, new energy abandonment limit, etc.), adjust the Pt value until the requirements are met. This adjustment method leads to manual data collection, cumbersome statistics, error-prone and no consideration of energy storage equipment and the impact of demand-side response on power balance.

Contents of the invention

In order to solve the above-mentioned technical problems, the present application is proposed. The present application provides a power system-based power balance monitoring method, device, medium and equipment, which solves the problem in the prior art that the impact of energy storage equipment and demand-side response on the calculation of power balance is not considered.

In one aspect of the present application, a power system-based power balance monitoring method is provided, including: obtaining the power load forecast result affected by new energy sources; obtaining the power load value affected by the demand side response; The influence power of the grid load, the power value of the grid-side energy storage equipment and the power value of the distributed new energy storage equipment; , the influence power of the user-side energy storage equipment on the grid load, the power value of the grid-side energy storage equipment, and the power value of the distributed new energy storage equipment, and calculate the power load forecast value; and according to the According to the predicted value of power load and preset conditions, the adjustment strategy is determined.

In an embodiment, the determining the adjustment strategy according to the predicted value of the power load and preset conditions includes: obtaining the generated power at the power generation side; calculating the generated power according to the generated power at the power generation side; The load forecast value, the generated power and the preset conditions are used to determine the adjustment strategy.

In an embodiment, the acquiring the generated power on the power generation side includes: acquiring 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, and the generated power considering the energy storage Centralized photovoltaic power generation power, hydropower power generation power and tie line transmission flow after the impact of the equipment.

In one embodiment, the calculation of the generated power according to the generated power of the power generation side includes: based on the generated power of the thermal power unit, the wind power generated power after considering the influence of the energy storage device, and the centralized power generated after considering the influence of the energy storage device. The power generated by photovoltaic power, the power generated by hydropower and the power flow transmitted by the tie line are calculated to obtain the generated power.

In an embodiment, the determining the adjustment strategy according to the predicted value of electric power load, the generated power and preset conditions includes: if the maximum value of the generated power at the same time If the difference is less than the first preset power threshold, the first adjustment strategy is determined; if the difference between the predicted value of the electric load at the same time and the minimum value of the generated power is smaller than the second preset power threshold, the second adjustment strategy is determined Strategy.

In one embodiment, the acquiring the electric load value affected by the demand side response includes: acquiring the load amount participating in the demand side response; acquiring electricity price data at each time; , to obtain the value of the electric load.

In an embodiment, after the adjustment strategy is determined according to the predicted value of the power load and the preset condition, the method for monitoring power balance based on the power system further includes: drawing a plurality of predicted values of power load into a curve.

Another aspect of the present application provides a power system-based power balance monitoring device, including: a first acquisition module, used to obtain the power load forecast results affected by new energy sources; a second acquisition module, used to obtain demand-side Response to the impacted power load value; the third acquisition module is used to obtain the impact power of the user-side energy storage device on 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 calculation module , which is used to predict the power load affected by new energy sources, the power load value affected by the demand side response, the impact power of the user-side energy storage device on the grid load, and the power grid-side energy storage device The power value of the distributed new energy energy storage device and the power value of the distributed new energy energy storage device are calculated to obtain a power load forecast value; and a determination module is used to determine an adjustment strategy according to the power load forecast value and preset conditions.

In another aspect of the present application, a computer-readable storage medium is provided, the storage medium stores a computer program, and the computer program is used to execute any one of the power system-based power balance monitoring methods described above.

In another aspect of the present application, an electronic device is provided, and the electronic device includes:

A processor; a memory for storing instructions executable by the processor; the processor is used for executing the power system-based power balance monitoring method described in any one of the above 7.

This application provides a power system-based power balance monitoring method, device, medium, and equipment, including: obtaining the power load forecast result affected by new energy sources, and obtaining the power load value affected by the demand side response; obtaining the energy storage device on the user side. The influence power of the grid load, the power value of the grid-side energy storage equipment and the power value of the distributed new energy energy storage equipment are based on the power load forecast results affected by the new energy, the power load value affected by the demand side response, and the power value of the user side. The impact of energy storage equipment on grid load, the power value of grid-side energy storage equipment and the power value of distributed new energy storage equipment, calculate the predicted value of power load, and determine the adjustment according to the predicted value of power load and preset conditions Strategy. By obtaining the value of the electric load affected by the demand side response and the influence of the energy storage device on the grid load, the electric power is adjusted to balance the electric power.

Description of drawings

The above and other objects, features and advantages of the present application will become more apparent through a more detailed description of the embodiments of the present application in conjunction with the accompanying drawings. The accompanying drawings are used to provide a further understanding of the embodiments of the present application, and constitute a part of the specification, and are used together with the embodiments of the present application to explain the present application, and do not constitute limitations to the present application. In the drawings, the same reference numerals generally represent the same components or steps.

Fig. 1 is a power system-based power balance monitoring method provided by an exemplary embodiment of the present application.

Fig. 2 is a flow chart of obtaining a reference electricity price during an energy storage period provided by an exemplary embodiment of the present application.

Fig. 3 is a flow chart of obtaining a reference electricity price during a power generation period provided by an exemplary embodiment.

Fig. 4 is a flow chart of solving the energy storage period p _dfa of the grid-side energy storage device provided by an exemplary embodiment of the present application.

Fig. 5 is a flow chart of solving the energy storage period p _dfa of a distributed new energy storage device provided by an exemplary embodiment of the present application.

Fig. 6 is a flow chart of solving the p _dfa of the power generation period of the energy storage device provided by an exemplary embodiment of the present application.

Fig. 7 is a method for determining an adjustment strategy provided by an exemplary embodiment of the present application.

Fig. 8 is a method for determining an adjustment strategy provided by another exemplary embodiment of the present application.

Fig. 9 is a schematic structural diagram of a power system-based power balance monitoring device provided by an exemplary embodiment of the present application.

Fig. 10 is a schematic structural diagram of a power system-based power balance monitoring device provided by another exemplary embodiment of the present application.

Fig. 11 is a structural diagram of an electronic device provided by an exemplary embodiment of the present application.

detailed description

Hereinafter, exemplary embodiments according to the present application will be described in detail with reference to the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments of the present application. It should be understood that the present application is not limited by the exemplary embodiments described here.

Fig. 1 is a power system-based power balance monitoring method provided by an exemplary embodiment of the present application. Fig. 2 is a flow chart of obtaining a reference electricity price during an energy storage period provided by an exemplary embodiment of the present application. Fig. 3 is a flow chart of obtaining a reference electricity price during a power generation period provided by an exemplary embodiment. As shown in Figure 1-3, the power balance monitoring method based on the power system includes:

Step 110: Obtain the electric load forecast result affected by the new energy.

Step 120: Obtain the electric load value affected by the demand side response.

In the embodiment of the present invention, "obtaining the electric load value affected by the demand side response" includes:

(11) Obtain the load involved in the demand side response.

(12) Obtain electricity price data at each time.

(13) According to the demand-side response load and the electricity price data at each time, calculate the power load value.

The forecasting principle of the demand side response system can be expressed as formula 1:

in:

ΔP _response is the change in load caused by the demand side response;

Prequest is the load involved in the demand side response;

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

Superimposing the ΔP _response on the existing system power load forecast curve can obtain the power load forecast curve considering the demand side response.

Step 130: Acquiring the influence power of the user-side energy storage device on 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 impact of user-side energy storage equipment on load can be described by Equation 2. The lower the electricity price, the more energy storage, and vice versa, the more power will be generated.

in:

ΔPstorage is the impact power of the user-side energy storage equipment on the grid load, the energy storage is positive, and the power generation is negative;

ξ is electricity price;

ξmin is low electricity price;

ξmax is the peak electricity price;

ξref_stor is the reference electricity price during the energy storage period, and its value is obtained from Figure 2;

ξref_gen is the reference electricity price during the power generation period, and its value is obtained from Figure 3;

W _{STOR_MAX} is the maximum storable power;

W _MAX is the maximum storage capacity of the energy storage element;

W _storage is the stored power.

ξlow＝ξmin,ξup＝ξmax,W_{STOR_MAX}＝W_MAX―W_storage。计算

以及

W为t₁s到t₂s时段内的储存电量，判断W_{STOR_MAX}是否大于或者等于W，若是，则判断计数是否为0，若计数为0，则输出ξref_stor，若W_{STOR_MAX}是否小于W，则ξlow＝ξlow，ξup＝ξref_stor,

然后计数加1，即count＝count+1，再转回计算

若计数不为0，则判断W_{STOR_MAX}―W是否小于或者等于ξ，若W_{STOR_MAX}―W小于或者等于ξ，则输出ξref_stor。若W_{STOR_MAX}―W大于ξ，则ξlow＝ξref_stor，ξup＝ξup，

然后转回计算

As shown in Figure 2, input count=0 (counting from 0), ξ=y(t),

ξlow = ξmin, ξup = ξmax, W _{STOR_MAX} = W _MAX -W _storage . calculate

as well as

W is the stored power during the period from t ₁ s to t ₂ s, judge whether W _{STOR_MAX} is greater than or equal to W, if so, judge whether the count is 0, if the count is 0, then output ξref_stor, if W _{STOR_MAX} is less than W, then ξlow=ξlow, ξup=ξref_stor,

Then add 1 to the count, that is, count=count+1, and then switch back to the calculation

If the count is not 0, judge whether W _{STOR_MAX} ―W is less than or equal to ξ, and if W _{STOR_MAX} ―W is less than or equal to ξ, then output ξref_stor. If W _{STOR_MAX} ―W is greater than ξ, then ξlow=ξref_stor, ξup=ξup,

and then switch back to calculating

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

ξlow＝ξmin,ξup＝ξmax,W_{gen_max}＝W_storage。计算

判断W_gen是否大于或者等于W，W为t₁g到t₂g时段内的发电量，若W_gen大于或者等于W，则判断计数是否为0，若计数为0，即count＝0，输出ξref_gen。若W_gen小于W，则ξlow＝ξref_gen，ξup＝ξup，

并计数加 1，即count＝count+1，再转回计算

若计数不为 0，则W_{gen_max}―W是否小于或者等于ξ，若是，则输出ξref_gen，若否，则ξlow＝ξlow，ξup＝ξref_gen，

再转回计算

ξ＝y(t)的意义为电价为时间的函数，可用时间表示电价， Wstorage为已存储的电量，Wgen_max为最大可发电电量，t1g为电价高峰时段电价等于参考电价的初始时刻，t2g为电价高峰时段电价等于参考电价的末尾时刻。As shown in Figure 3, input count=0 (counting from 0), ξ=y(t),

ξlow=ξmin, ξup=ξmax, W _{gen_max} =W _storage . calculate

Judging whether W _gen is greater than or equal to W, W is the power generation during the period from t ₁ g to t ₂ g, if W _gen is greater than or equal to W, then judge whether the count is 0, if the count is 0, that is, count=0, output ξref_gen. If W _gen is less than W, then ξlow=ξref_gen, ξup=ξup,

And add 1 to the count, that is, 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 ξ, if so, output ξref_gen, if not, then ξlow=ξlow, ξup=ξref_gen,

switch back to the calculation

The meaning of ξ=y(t) is that the price of electricity is a function of time, the available time represents the price of electricity, Wstorage is the stored electricity, Wgen_max is the maximum electricity that can be generated, t1g is the initial moment when the electricity price is equal to the reference electricity price during the peak period of electricity price, and t2g is the electricity price The peak hour electricity price is equal to the end time of the reference electricity price.

The energy storage equipment on the grid side plays the role of a distributed power supply. Like the distributed new energy energy storage equipment on the power supply side, it stores electricity during low load periods and sends out electricity during peak hours, which has the effect of peak shaving and valley filling. In order to utilize the storage and generation capacity of energy storage equipment as much as possible, the energy storage control strategy is as follows:

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

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

in:

p _{storage_grid} is 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 is the forecast load;

p _max-in is the maximum power that the energy storage device can store;

p _max— the maximum power that the energy storage device can generate;

_t1 is the initial moment when the predicted load is lower than the daily average load;

_t2 is the termination time when the predicted load is lower than the daily average load;

_t3 is the initial moment when the predicted load is higher than the daily average load;

t4 is the termination time when the predicted load is higher than the daily average load _;

t ₁₁ is the initial moment when p _dfa is equal to the predicted load in a certain energy storage period;

t ₂₁ is the end time when p _dfa is equal to the predicted load in a certain energy storage period;

t ₃₁ is the initial moment when p _dfa is equal to the predicted load in a certain power generation period;

t ₄₁ is the end time when p _dfa is equal to the predicted load in a certain power generation period;

Fig. 4 is a flow chart of solving the energy storage period p _dfa of the grid-side energy storage device provided by an exemplary embodiment of the present application. Fig. 5 is a flow chart of solving the energy storage period p _dfa of a distributed new energy storage device provided by an exemplary embodiment of the present application. Fig. 6 is a flow chart of solving the p _dfa of the power generation period of the energy storage device provided by an exemplary embodiment of the present application. As shown in Figure 4-6, p _dfa is the reference power at the start/stop of energy storage/generation of energy storage equipment after the capacity of the energy storage equipment is exhausted _. As shown, the p _dfa solution process of distributed new energy storage equipment energy storage period is shown in Figure 5, and the p _dfa solution process of energy storage equipment power generation period is shown in Figure 6.

ε takes 1MWh.

W _max-in is the maximum power that the energy storage device can store;

W _max-out is the maximum power that the energy storage device can emit;

若W_max-in大于或者等于

则判断

是否小于或者等于ε。As shown in Figure 4, input p _up =p _average , p _low =min{p _forecast }(t ₁ ≤t≤t ₂ ), p _dfa =p _up , and calculate p _{storage_grid} =min{p _dfa ―p _forecast ,p _max—in }, to determine whether W _max-in is greater than or equal to

If W _max-in is greater than or equal to

then judge

Is it less than or equal to ε.

小于或者等于ε，则输出p_dfa，若

小大于ε，则p_up＝p_up，p_low＝p_dfa,

再转回计算 p_{storage_grid}＝min{p_dfa―p_forecast,p_max―in}。若W_max-in小于

则p_up＝p_dfa，

再转回计算p_{storage_grid}＝min {p_dfa―p_forecast,p_max―in}。like

is less than or equal to ε, then output p _dfa , if

is smaller than ε, then p _up ＝p _up ，p _low ＝p _dfa ,

Then turn back to calculate p _{storage_grid} =min{p _dfa —p _forecast ,p _max—in }. If W _max-in is less than

Then p _up =p _dfa ,

Then turn back to calculate p _{storage_grid} = min {p _dfa ―p _forecast ,p _max―in }.

若

小于或者等于ε，则输出p_dfa。若

则p_up＝p_up，p_low＝p_dfa，

若W_max-in小于

则p_up＝p_dfa，p_low＝p_low，

再转回计算 p_{storage_grid}＝min{p_dfa―p_forecast,p_max―in}。As shown in Figure 5, input p _up =p _average , p _low =min{p _forecast }(t ₁ ≤t≤t ₂ ), p _dfa =p _up , and calculate p _{storage_grid} =min{p _dfa ―p _forecast ,p _pvd ,p _max―in }, to judge whether W _max-in is greater than

like

is less than or equal to ε, then output p _dfa . like

Then p _up =p _up , p _low =p _dfa ,

If W _max-in is less than

Then p _up = p _dfa , p _low = p _low ,

Then turn back to calculate p _{storage_grid} =min{p _dfa —p _forecast ,p _max—in }.

若 W_max-out大于

则判断

是否小于或者等于ε，若

小于或者等于ε，则输出p_dfa。若

大于ε，则 p_up＝p_dfa，p_low＝p_low，

再转回计算p_gen＝min {p_forecast―p_dfa,p_max―out}。若W_max-out小于或者等于

则p_up＝p_up，p_low＝p_dfa，

再转回计算p_gen＝min{p_forecast―p_dfa,p_max―out}。As shown in Figure 6, input p _low =p _average , p _up =max{p _forecast }(t ₃ ≤t≤t ₄ ), p _dfa =p _low to calculate p _gen =min{p _forecast ―p _dfa ,p _{max ―out} }, to determine whether W _max-out is greater than

If W _max-out is greater than

then judge

Is it less than or equal to ε, if

is less than or equal to ε, then output p _dfa . like

greater than ε, then p _up =p _dfa , p _low =p _low ,

Then turn 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 _up =p _up , p _low =p _dfa ,

Then turn back to calculate p _gen =min{p _forecast —p _dfa ,p _max—out }.

Step 140: According to the power load forecast results affected by new energy sources, the value of power loads affected by demand-side response, the impact power of user-side energy storage equipment on grid load, the power value of grid-side energy storage equipment, and distributed new energy The power value of the energy storage device is calculated to obtain the power load forecast value.

Power load forecast value P _L =P _LB +△P _response +△P _storage +P _{storage_grid} +P _{generate_grid} ;

P _LB is the power load forecast result considering the impact of new energy (existing system);

△P _response is the power load value affected by the demand side response;

△P _storage is the electric load value affected by the user-side energy storage equipment (energy storage is positive, power generation is negative);

P _{storage_grid} is the power value absorbed by the energy storage equipment on the grid side (energy storage is positive, power generation is negative);

P _{generate_grid} is the power value absorbed by distributed new energy storage equipment (energy storage is positive, power generation is negative).

Step 150: Determine an adjustment strategy according to the predicted value of electric load and preset conditions.

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

Step 151: Obtain the generated power on the power generation side.

The energy storage equipment on the power generation side is divided into centralized new energy energy storage equipment and distributed new energy energy storage equipment, both of which are used for real-time storage and generation of new energy power generation. 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 distribute distributed photovoltaic power generation, and the final result is reflected in the load increase or decrease , which is consistent with the effect of the energy storage equipment on the grid side. For the detailed calculation process, refer to the calculation formula (3-6) on the grid side. For the energy storage strategy corresponding to the centralized new energy storage equipment, refer to the following calculation method:

When the centralized new energy storage equipment has power storage capacity (0≤the stored power of the energy storage device<the maximum stored power of the energy storage device) or power generation capacity (0<the stored power of the energy storage device≤the maximum stored power of the energy storage device), After considering the impact of energy storage equipment, the new energy power generation can be described by Equation 7:

in:

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

Pwind generates electricity for wind power;

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

Ppvc is centralized photovoltaic power generation;

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

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

Pmax-in is the maximum stored power of the energy storage device;

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

When the energy storage equipment does not have the power storage capacity or power generation capacity, it is described by Equation 8 for energy power generation:

Step 152: Calculate the generated power according to the generated power at the power generation side.

Step 153: Determine an adjustment strategy according to the predicted value of electric load, generated power and preset conditions.

In an embodiment, step 151 can be specifically implemented as: acquiring the generated power at the power generation side, where the generated power includes the generated power of thermal power units, the wind power generated after considering the influence of energy storage equipment, and the concentrated power after considering the influence of energy storage equipment. Type photovoltaic power generation, hydropower power generation and tie line transmission flow.

In one embodiment, step 152 can be specifically implemented as follows: according to the power generated by thermal power units, the power generated by wind power after considering the impact of energy storage equipment, the power generated by centralized photovoltaic power generation and power generated by hydropower after considering the impact of energy storage equipment, and the connection line The power flow is transmitted, and the generated power is calculated.

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

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

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

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

Pwater is the electricity generated by hydropower (power generation is positive, pumped storage is negative);

Plink transmits power flow for the tie line (input is positive, output is negative).

Fig. 8 is a method for determining an adjustment strategy provided by another exemplary embodiment of the present application. As shown in Figure 8, step 153 may include:

Step 1531: If the difference between the maximum value of generated electric power and the predicted value of electric load at the same moment is smaller than the first preset electric power threshold, determine a first adjustment strategy.

The maximum power generation max{PG} (technical maximum) at time t-the predicted value of power load at time t PL<1 million kilowatts, and the following factors are considered to give adjustment strategy suggestions: pumped storage water level, external support, etc.

Step 1532: If the difference between the predicted value of electric load and the minimum value of generated electric power at the same moment is smaller than the second preset electric power threshold, determine a second adjustment strategy.

The predicted value of power load at time t PL-minimum generated power min{PG} (technical minimum) at time t is less than 300,000 kilowatts, and the following factors are considered to give adjustment strategy suggestions:

1) Formulate a reasonable deep regulation sequence based on the historical deep regulation records of pure condensing units, unit start-up mode, unit defects and deep regulation capacity.

2) Combining the current information of the power spot market and the current/monthly power generation progress of the power generation unit to formulate the shutdown sequence.

In an embodiment, 120 is specifically configured to: acquire the load amount participating in the demand side response. Obtain electricity price data at each time. According to the demand-side response load and the electricity price data at each moment, the electric load value is calculated.

In an embodiment, after the adjustment strategy is determined according to the predicted value of the power load and the preset condition, the method for monitoring power balance based on the power system further includes: drawing a plurality of predicted values of the power load into a curve.

Output the technical maximum, load curve, and technical minimum curve in the next t hours, and can display the upper and lower standby values at any time. Wherein, the upper standby data represents the data corresponding to the maximum generated power max{PG} (technical maximum) at time t-the predicted value of power load PL>1 million kilowatts at time t. The lower backup data represents the data corresponding to the predicted power load P _L at time t - the minimum generated power min{P _G } (technical minimum) at time t > 300,000 kilowatts.

Fig. 9 is a schematic structural diagram of a power system-based power balance monitoring device provided by an exemplary embodiment of the present application. As shown in Figure 9, the power balance monitoring device 20 based on the power system includes: a first acquisition module 201, which is used to acquire the power load forecast result affected by new energy sources; a second acquisition module 202, which is used to acquire demand side response influence The value of the electric power load; the third acquisition module 203, which is used to obtain the influence power of the energy storage equipment on the user side on the grid load, the power value of the energy storage equipment on the grid side, and the power value of the distributed new energy storage equipment; the calculation module 204 , which is used to predict the power load affected by new energy, the power load value affected by the demand side response, the impact power of the energy storage equipment on the user side on the grid load, the power value of the energy storage equipment on the grid side, and the distributed new energy The power value of the energy storage device is calculated to obtain a predicted power load; and a determination module 205 is configured to determine an adjustment strategy according to the predicted power load and preset conditions.

Fig. 10 is a schematic structural diagram of a power system-based power balance monitoring device provided by another exemplary embodiment of the present application. As shown in FIG. 10 , the determination module 205 may include: a power acquisition unit 2051, configured to acquire the generated power on the power generation side; a calculation unit 2052, used to calculate the generated power according to the generated power on the power generation side; an adjustment unit 2053, used to Determine the adjustment strategy based on the predicted value of electric load, generated power and preset conditions.

In an embodiment, as shown in FIG. 10 , the power acquisition unit 2051 can be specifically configured to: acquire the generated power at the power generation side; where the generated power includes the generated power of thermal power units, the generated power of wind power after considering the influence of energy storage equipment, Considering the influence of energy storage equipment, centralized photovoltaic power generation, hydropower power generation and tie line transmission flow.

In one embodiment, as shown in Figure 10, the calculation unit 2052 can be specifically configured as follows: according to the power generated by thermal power units, the power generated by wind power after considering the influence of energy storage equipment, and the power generated by centralized photovoltaic power after considering the influence of energy storage equipment As well as the power generated by hydropower and the transmission flow of the tie line, the generated power is calculated.

In one embodiment, as shown in FIG. 10 , the adjustment unit 2053 may be specifically configured to determine the first adjustment if the difference between the maximum value of generated power and the predicted value of power load at the same time is smaller than the first preset power threshold. Strategy: If the difference between the predicted value of electric load and the minimum value of generated electric power at the same moment is smaller than the second preset electric power threshold, the second adjustment strategy is determined.

In an embodiment, the second acquisition module 202 can be specifically configured to: acquire the load amount participating in the demand side response; acquire electricity price data at each time; and calculate the electric load value according to the load amount of the demand side response and the electricity price data at each time point.

In an embodiment, as shown in FIG. 10 , after determining the adjustment strategy according to the power load forecast value and preset conditions, the power system-based power balance monitoring device may further include:

A drawing unit 206, configured to draw a plurality of electric load forecast values into a curve.

Next, an electronic device according to an embodiment of the present application will be 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 independent of them, and the stand-alone device may communicate with the first device and the second device to receive collected data from them. input signal.

FIG. 11 illustrates a block diagram of an electronic device according to an embodiment of the present application.

As shown in FIG. 11 , electronic device 10 includes one or more processors 11 and memory 12 .

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 electronic device 10 to perform desired functions.

Memory 12 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include random access memory (RAM) and/or cache memory (cache), etc., for example. Non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, and the like. One or more computer program instructions can be stored on the computer-readable storage medium, and the processor 11 can execute the program instructions to realize the power system-based power balance monitoring method of the various embodiments of the above application and/or other desired function. Various contents such as input signals, signal components, noise components, etc. may also be stored in the computer-readable storage medium.

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

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.

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

The output device 14 can output various information to the outside, including determined distance information, direction information, and the like. The output device 14 may include, for example, a display, a speaker, a printer, a communication network and its connected remote output devices, and the like.

Of course, for the sake of simplicity, only some components related to the present application in the electronic device 10 are shown in FIG. 11 , and components such as bus, input/output interface, etc. are omitted. In addition, according to specific application conditions, the electronic device 10 may also include any other suitable components.

In addition to the methods and devices described above, embodiments of the present application may also be computer program products, which include computer program instructions that, when executed by a processor, cause the processor to perform the procedures described in the above-mentioned "Exemplary Methods" section of this specification. Steps in a method for monitoring power balance based on a power system according to various embodiments of the present application.

The computer program product can write program codes for executing the operations of the embodiments of the present application in any combination of one or more programming languages. The programming languages include object-oriented programming languages, such as Java, C++, etc., and also include conventional A procedural programming language such as "C" or similar programming language. 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 to execute.

In addition, the embodiments of the present application may also be a computer-readable storage medium on which computer program instructions are stored, and when executed by a processor, the computer program instructions cause the processor to execute the method described in the above-mentioned "Exemplary Method" section of this specification. Steps in the method for monitoring power balance based on a power system in various embodiments of the present application.

The computer readable storage medium may utilize any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may include, but not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or devices, or any combination thereof. More specific examples (non-exhaustive list) of readable storage media include: electrical connection with one or more conductors, portable disk, hard disk, random access memory (RAM), read only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

The basic principles of the present application have been described above in conjunction with specific embodiments, but it should be pointed out that the advantages, advantages, effects, etc. mentioned in the application are only examples and not limitations, and these advantages, advantages, effects, etc. Various embodiments of this application must have. In addition, the specific details disclosed above are only for the purpose of illustration and understanding, rather than limitation, and the above details do not limit the application to be implemented by using the above specific details.

The block diagrams of devices, devices, 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 diagrams. As will be appreciated by those skilled in the art, these devices, devices, devices, systems may be connected, arranged, configured in any manner. Words such as "including", "comprising", "having" and the like are open-ended words meaning "including but not limited to" and may be used interchangeably therewith. As used herein, the words "or" and "and" refer to the word "and/or" and are used interchangeably therewith, unless the context clearly dictates otherwise. As used herein, the word "such as" refers to the phrase "such as but not limited to" and can be used interchangeably therewith.

It should also be pointed out that in the devices, equipment and methods of the present application, each component or each step can be decomposed and/or reassembled. These decompositions and/or recombinations should be considered equivalents of this application.

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 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, this description is not intended to limit the embodiments of the application to the forms disclosed herein. Although a number of example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, changes, additions and subcombinations 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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