CN111106615B - Method for reducing peak-valley difference of power grid based on battery energy storage device and electric heat storage device - Google Patents
Method for reducing peak-valley difference of power grid based on battery energy storage device and electric heat storage device Download PDFInfo
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Abstract
The invention relates to the technical field of power grid peak-valley difference adjustment, and provides a method for reducing power grid peak-valley difference based on a battery energy storage device and an electric heat storage device. Firstly, collecting data; then, calculating the peak shaving coefficients of the battery energy storage device and the electric heat storage device; secondly, judging the charging and discharging state of the battery energy storage device and the heat generation and release state of the electric heat storage device according to the difference value between the total output of the generator set at each time interval and the average load of the power grid at the time interval, and the total capacity and the residual capacity of the battery energy storage device and the electric heat storage device; finally, when peak clipping is needed, the discharging of the battery energy storage device and the heat release of the electric heat storage device are coordinated and planned according to the peak clipping power requirement of the power grid on the next day and the residual energy of the two devices; when the valley filling is needed, the charging of the battery energy storage device and the heating of the electric heat storage device are coordinated and planned according to the valley filling power requirement of the power grid on the next day and the residual capacities of the two devices. The method can effectively adjust the peak-valley difference of the power grid, consumes new energy as much as possible, and is flexible and economical.
Description
Technical Field
The invention relates to the technical field of power grid peak-valley difference adjustment, in particular to a method for reducing power grid peak-valley difference based on a battery energy storage device and an electric heat storage device.
Background
In order to ensure the power supply quality of the power grid, corresponding measures are required to be taken, and the peak-valley difference of the power grid is reduced. The existing method for reducing the peak-valley difference of the power grid mainly comprises the following steps: (1) And the peak-valley difference of the power grid is reduced by using the time-of-use electricity price and guiding consumption by using the peak-valley difference electricity price. The method has the defects that the consumption of new energy cannot be effectively promoted, and great energy waste is caused. (2) The peak-valley difference of the power grid is reduced by the application of energy storage technologies, such as battery energy storage technology, electric heat storage technology and ice (water) cold storage technology. The method has the disadvantages that in the existing method for reducing the peak-valley difference of the power grid by using the energy storage technology, only a single energy storage mode is usually adopted, and the energy storage is not flexible enough and the operation cost is high.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a method for reducing the peak-valley difference of a power grid based on a battery energy storage device and an electric heat storage device, which can effectively adjust the peak-valley difference of the power grid, can consume new energy as much as possible, and is flexible and economical.
The technical scheme of the invention is as follows:
a method for reducing the peak-valley difference of a power grid based on a battery energy storage device and an electric heat storage device is characterized by comprising the following steps:
step 1: collecting data: collecting power grid next-day prediction data, wherein the power grid next-day prediction data comprise the next-day average temperature T and the next-day average temperature reference value T of the place where the power grid is located 1 The relative humidity H of the air in the next day and the reference value H of the relative humidity of the air in the next day 1 The next day atmospheric pressure P and the next day atmospheric pressure reference value P 1 And also includes the temperature T of the battery energy storage device c Temperature reference value T of battery energy storage device c1 Voltage U of battery energy storage device c And the voltage reference value U of the battery energy storage device c1 Charging and discharging of battery energy storage deviceElectric conversion efficiency eta c And temperature T of the electric heat storage device ce Temperature reference value T of electric heat storage device ce1 Voltage U of electric heat storage device ce Voltage reference value U of electric heat storage device ce1 Heat generation and release conversion efficiency eta of electric heat storage device ce And the capacity Q of the wind driven generator assembling machine is further included f Installed capacity Q of thermal generator set h Total capacity S of battery energy storage device ec Residual capacity S of battery energy storage device ec_s Total capacity S of electric heat storage device rc Residual capacity S of the electric heat storage device rc_s (ii) a Dividing the next day into n time intervals, and collecting predicted power grid average load data of each time interval of the next day as { S } 1 ,S 2 ,...,S i ,...,S n And the generated power data of the wind generating set at each time interval is (Q) f1 ,Q f2 ,...,Q fi ,...,Q fn Predicted value data of electric heating load of each time interval is { Q } r_1 ,Q r_2 ,...,Q r_i ,...,Q r_n }；
Wherein S is i Is the average load of the i-th period, Q fi For the power generation of the wind generating set in the ith period, Q r_i An electric heating load predicted value for the ith time period;
step 2: calculating the peak regulation coefficient of the battery energy storage device and the electric heat storage device:
step 2.1: calculating the peak regulation coefficient A of the battery energy storage device 1 Is composed of
Wherein k is r The influence coefficient, k, of the external operating environment of the power grid on the battery energy storage device next day c The influence coefficient of the inside of the battery energy storage device in the next day of the power grid is obtained;
T * 、H * 、P * predicting the average temperature, the relative humidity and the unit value of the atmospheric pressure for the next day,
T * ＝T/T 1 ；H * ＝H/H 1 ；P * ＝P/P 1 ； (4)
T c * 、U c * are the temperature of the battery energy storage device and the voltage per unit value of the battery energy storage device respectively,
T c * ＝T c /T c1 ；U c * ＝U c /U c1 (5)
step 2.2: calculating the peak regulation coefficient A of the electric heat storage device 2 Is composed of
Wherein k is re Influence coefficient, k, of the external environment on the electric heat storage device for the next day of operation of the power grid ce Influence coefficients inside the electric heat storage device for the next day of power grid operation;
T ce * 、U ce * are the per unit values of the temperature of the electric heat storage device and the voltage of the electric heat storage device respectively,
T ce * ＝T ce /T ce1 ；U ce * ＝U ce /U ce1 (9)
and step 3: judging the charging and discharging state of the battery energy storage device and the heat generation and release state of the electric heat storage device:
calculating the difference value of the predicted total output of the generator set in each time period of the next day and the average load of the power grid in the time period as
S di ＝Q fi +Q h -S i (10)
When S is di <When 0, the peak clipping is needed, and the step 4 is carried out: at this time, if S ec -S ec_s If the voltage is more than 0, the battery energy storage device can discharge to participate in peak clipping, otherwise, the battery energy storage device does not discharge; if S rc -S rc_s If the temperature is higher than 0, the electric heat storage device can release heat to participate in peak clipping, otherwise, the electric heat storage device does not release heat;
when S is di >When 0, the valley is required to be filled, and the step 5 is carried out: at this time, if S ec_s If the charging rate is more than 0, the battery energy storage device can be charged to participate in valley filling, otherwise, the battery energy storage device is not charged; if S rc_s If the temperature is more than 0, the electric heat storage device can heat to participate in valley filling, otherwise, the electric heat storage device does not heat;
and 4, step 4: calculating the total load power required to be peak-clipped at the next day, and coordinating and planning the discharge of the battery energy storage device and the heat release of the electric heat storage device:
step 4.1: calculating the total load power of the peak clipping required by the next day as
Wherein ε (x) is a unit step function, x = S i -Q fi -Q h ；
Calculating the total power of the electric heating load in the peak clipping period as
And 4.2: and (3) coordinating and planning the discharge of the battery energy storage device and the heat release of the electric heat storage device:
when the battery energy storage device and the electric heat storage device can provide enough power for peak clipping:
if it is
The power needed to be provided by the battery energy storage device and the electric heat storage device during peak clipping of the next day is planned to be respectively
If it is
The power needed to be provided by the battery energy storage device and the electric heat storage device during peak clipping of the next day is planned to be respectively
When the battery energy storage device and the electric heat storage device can not provide enough power for peak clipping:
if S ec -S ec_s ≥Q cd And S rc -S rc_s ＜Q cr The power needed to be provided by the battery energy storage device and the electric heat storage device during peak clipping of the next day is planned to be respectively
If S ec -S ec_s ＜Q cd And S rc -S rc_s ≥Q cr The power needed to be provided by the battery energy storage device and the electric heat storage device during peak clipping of the next day is planned to be respectively
If S ec -S ec_s ＜Q cd And S rc -S rc_s ＜Q cr Or S rc -S rc_s ＜Q cr And S ec -S ec_s ＜Q cd * Or S ec -S ec_s ＜Q cd And S rc -S rc_s ＜Q cr * Planning that the power required to be provided by the battery energy storage device and the electric heat storage device during peak clipping on the next day is respectively
And 5: calculating the total load power amount of the next daily valley filling, coordinating and planning the charging of the battery energy storage device and the heating of the electric heat storage device:
step 5.1: calculating the total load power amount of the next daily valley filling
Wherein ε (t) is a unit step function, t = Q fi +Q h -S i ；
Step 5.2: coordinating and planning charging of the battery energy storage device and heating of the electric heat storage device:
when the battery energy storage device and the electric heat storage device can provide enough capacity for valley filling: the capacities of the battery energy storage device and the electric heat storage device which need to be provided during the next valley filling are planned to be respectively
When the battery energy storage device and the electric heat storage device can not provide enough capacity for valley filling:
if S ec_s ≥Q c_d And S rc_s ＜Q c_r The capacities of the battery energy storage device and the electric heat storage device required to be provided when the next day is filled are planned to be respectively
If S ec_s ＜Q c_d And S rc_s ≥Q c_r The capacities of the battery energy storage device and the electric heat storage device are planned to be provided respectively during the next valley filling
If S ec_s ＜Q c_d And S rc_s ＜Q c_r Or S rc_s ＜Q c_r And S ec_s ＜Q c_d * Or S ec_s ＜Q c_d And S rc_s ＜Q c_r * The capacities of the battery energy storage device and the electric heat storage device are planned to be provided respectively during the next valley filling
The invention has the beneficial effects that:
the invention stores the redundant electric energy in the low ebb of the electric load by using the battery energy storage technology, releases the stored electric energy in a reasonable mode in the high ebb of the electric load of the power grid, and can cut peaks and fill valleys to reduce the peak-valley difference of the power grid; the rigid constraint of a cogeneration unit for determining electricity by heat is broken by utilizing the electric heat storage device, and the active balance of a power grid and heat supply can be effectively ensured; based on the coordinated operation of the battery energy storage device and the electric heat storage device in the power grid, the peak-valley difference of the power grid can be effectively adjusted, new energy is consumed as much as possible, the operation cost is reduced, the energy storage mode is flexible, the reliability of power supply of the power grid is guaranteed, and the quality of electric energy is guaranteed.
Drawings
Fig. 1 is a flowchart of a method for reducing a peak-to-valley difference of a power grid based on a battery energy storage device and an electric heat storage device according to the present invention.
Detailed Description
The invention will be further described with reference to the accompanying drawings and specific embodiments.
In this embodiment, the method of the present invention is used to perform peak shaving in an area having a battery energy storage peak shaving device and an electric heat storage peak shaving device.
As shown in fig. 1, the method for reducing the peak-to-valley difference of the power grid based on the battery energy storage device and the electric heat storage device of the present invention comprises the following steps:
step 1: collecting data: collecting power grid next-day prediction data, wherein the power grid next-day prediction data comprise the next-day average temperature T =25 ℃ of the place where the power grid is located and the next-day average temperature reference value T 1 =22 ℃, next day air relative humidity H =0.6, next day air relative humidity reference value H 1 =0.5, next day atmospheric pressure P =96.0KPa, next day atmospheric pressure reference value P 1 =100.0KPa, and also includes the temperature T of the battery energy storage device c Temperature reference value T of battery energy storage device at temperature of =28.5 DEG C c1 =25 ℃ and voltage U of battery energy storage device c =385V, voltage reference value U of battery energy storage device c1 =380V, and charge-discharge conversion efficiency eta of battery energy storage device c =0.95 and temperature T of the electrical heat storage device ce Temperature reference value T of electric heat storage device at =38 ℃ ce1 Voltage U of electric heat storage device at 35 deg.C ce =383V, voltage reference value U of electric heat storage device ce1 =380V, heat generation and release conversion efficiency eta of electric heat storage device ce =0.86, and further comprises capacity Q of wind driven generator assembling machine f =30MW, installed capacity Q of thermal generator set h =60MW, total capacity S of battery energy storage device ec =180MW, remaining capacity S of battery energy storage device ec_s =120MW, total capacity S of electric heat storage device rc =200MW, residual capacity S of electric heat storage device rc_s =80MW; dividing the next day into n =24 time periods, and collecting predicted power grid average load data { S ] of each time period of the next day 1 ,S 2 ,...,S i ,...,S 24 The generated power data (Q) of the wind generating set at each time interval is shown in the table 1 f1 ,Q f2 ,...,Q fi ,...,Q f24 As shown in table 2, the predicted value data of the electric heating load at each time interval is { Q } r_1 ,Q r_2 ,...,Q r_i ,...,Q r_24 As shown in table 3; wherein S is i For the ith time periodAverage load, Q fi Power generation for the wind turbine generator system in the ith time period, Q r_i Is the predicted value of the electric heating load of the ith time period.
TABLE 1
TABLE 2
TABLE 3
Step 2: calculating the peak regulation coefficient of the battery energy storage device and the electric heat storage device:
step 2.1: calculating the peak regulation coefficient A of the battery energy storage device 1 Is composed of
Wherein k is r The influence coefficient, k, of the external operating environment of the power grid on the battery energy storage device next day c The influence coefficient of the inside of the battery energy storage device in the next day of the power grid is obtained;
T * 、H * 、P * predicting the average temperature, the relative humidity and the unit value of the atmospheric pressure for the next day,
T * ＝T/T 1 ；H * ＝H/H 1 ；P * ＝P/P 1 ； (4)
T c * 、U c * are the temperature of the battery energy storage device and the voltage per unit value of the battery energy storage device respectively,
T c * ＝T c /T c1 ；U c * ＝U c /U c1 (5)
in the present embodiment, the first and second electrodes are,
T * ＝T/T 1 ＝25/22＝1.136；
S * ＝S/S 1 ＝0.6/0.5＝1.2；
P * ＝P/P 1 ＝96/100＝0.96；
T c * ＝T c /T c1 ＝28.5/25＝1.14；
U c * ＝U c /U c1 ＝385/380＝1.013
step 2.2: calculating the peak regulation coefficient A of the electric heat storage device 2 Is composed of
Wherein k is re The influence coefficient, k, of the external environment on the electric heat storage device for the next day of operation of the power grid ce Influence coefficients inside the electric heat storage device for the next day of power grid operation;
T ce * 、U ce * are the per unit values of the temperature of the electric heat storage device and the voltage of the electric heat storage device respectively,
T ce * ＝T ce /T ce1 ；U ce * ＝U ce /U ce1 (9)
in the present embodiment, the first and second electrodes are,
T ce * ＝T ce /T ce1 ＝38/35＝1.086；
U ce * ＝U ce /U ce1 ＝383/380＝1.008
and step 3: judging the charging and discharging state of the battery energy storage device and the heat generation and release state of the electric heat storage device:
calculating the difference value between the predicted total output of the generator set in each time period of the next day and the average load of the power grid in the time period as
S di ＝Q fi +Q h -S i (10)
When S is di <When 0, the peak clipping is needed, and the step 4 is carried out: at this time, if S ec -S ec_s If the voltage is more than 0, the battery energy storage device can discharge to participate in peak clipping, otherwise, the battery energy storage device does not discharge; if S rc -S rc_s If the temperature is higher than 0, the electric heat storage device can release heat to participate in peak clipping, otherwise, the electric heat storage device does not release heat;
when S is di >When 0, the valley is required to be filled, and the step 5 is carried out: at this time, if S ec_s If the charging rate is more than 0, the battery energy storage device can be charged to participate in valley filling, otherwise, the battery energy storage device is not charged; if S rc_s If the temperature is higher than 0, the electric heat storage device can heat to participate in valley filling, otherwise, the electric heat storage device does not heat.
In this embodiment, the difference between the predicted total output of the generator set in each time period of the next day and the average load of the power grid in the time period is calculated and obtained as shown in table 4.
TABLE 4
As can be seen from Table 4, S is measured from the 1 st period to the 9 th period, and from the 23 rd period to the 24 th period di >0, needing to perform grain filling; in the 10 th to 22 th periods, S di <0, peak clipping is required.
And 4, step 4: calculating the total load power amount of the peak clipping required in the next day, coordinating and planning the discharge of the battery energy storage device and the heat release of the electric heat storage device, and ensuring the power required by the peak clipping:
step 4.1: the total load power of the peak clipping required by the next day is calculated as
Wherein ε (x) is a unit step function, x = S i -Q fi -Q h ；
Calculating the total power of the electric heating load in the peak clipping period as
Step 4.2: and coordinating and planning the discharge of the battery energy storage device and the heat release of the electric heat storage device:
when the battery energy storage device and the electric heat storage device can provide enough power for peak clipping:
if it is
The power needed to be provided by the battery energy storage device and the electric heat storage device during peak clipping of the next day is planned to be respectively
If it is
The power needed to be provided by the battery energy storage device and the electric heat storage device during peak clipping of the next day is planned to be respectively
When the battery energy storage device and the electric heat storage device can not provide enough power for peak clipping:
if S ec -S ec_s ≥Q cd And S rc -S rc_s ＜Q cr The power needed to be provided by the battery energy storage device and the electric heat storage device during peak clipping of the next day is planned to be respectively
If S ec -S ec_s ＜Q cd And S rc -S rc_s ≥Q cr Planning the battery energy storage device and the electricity storage device during peak clipping of the next dayThe thermal device needs to provide power of
If S ec -S ec_s ＜Q cd And S rc -S rc_s ＜Q cr Or S rc -S rc_s ＜Q cr And S ec -S ec_s ＜Q cd * Or S ec -S ec_s ＜Q cd And S rc -S rc_s ＜Q cr * Planning that the power required to be provided by the battery energy storage device and the electric heat storage device during peak clipping on the next day is respectively
In this embodiment, the total load power obtained by calculating the peak clipping required next day is S xz =146.53MW, total electric heating load power in peak clipping period is Q dre ＝179.75MW；
When the battery energy storage device and the electric heat storage device can provide enough power for peak clipping, the power required to be provided by the battery energy storage device and the electric heat storage device is respectively the power required to be provided by the battery energy storage device and the electric heat storage device when the peak clipping of the next day is planned
However, in this case, the total stored power is S ec -S ec_s ＝60MW＜Q cd And the total amount of heat storage power S rc -S rc_s ＝120MW≥Q cr Therefore, the battery energy storage device can not provide enough power, and the electric heat storage device can provide enough power, so the formula (16) is selected for calculation, and the output of the battery energy storage device and the output of the electric heat storage device which are planned during peak clipping of the next day are obtained
And 5: calculating the total load power amount of the next daily valley filling, coordinating and planning the charging of the battery energy storage device and the heating of the electric heat storage device:
step 5.1: calculating the total load power of the next daily valley filling
Wherein ε (t) is a unit step function, t = Q fi +Q h -S i ；
Step 5.2: coordinating and planning charging of the battery energy storage device and heating of the electric heat storage device:
when the battery energy storage device and the electric heat storage device can provide enough capacity for valley filling: the capacities of the battery energy storage device and the electric heat storage device which need to be provided during the next valley filling are planned to be respectively
When the battery energy storage device and the electric heat storage device can not provide enough capacity for valley filling:
if S ec_s ≥Q c_d And S rc_s ＜Q c_r The capacities of the battery energy storage device and the electric heat storage device are planned to be provided respectively during the next valley filling
If S ec_s ＜Q c_d And S rc_s ≥Q c_r The capacities of the battery energy storage device and the electric heat storage device are planned to be provided respectively during the next valley filling
If S ec_s ＜Q c_d And S rc_s ＜Q c_r Or S rc_s ＜Q c_r And S ec_s ＜Q c_d * Or S ec_s ＜Q c_d And S rc_s ＜Q c_r * The capacities of the battery energy storage device and the electric heat storage device are planned to be provided respectively during the next valley filling
In this embodiment, the total load power amount of the next daily required valley filling is calculated as S tz =208.27MW; when the battery energy storage device and the electric heat storage device can provide enough capacity for filling the valley, the capacities required to be provided by the battery energy storage device and the electric heat storage device are respectively Q when the valley is filled in the next day c_d ＝91.22MW，Q c_r ＝96.53MW
But at this time, the remaining capacity S of the battery energy storage device ec_s ＝120MW≥Q c_d And the residual capacity S of the electric heat storage device rc_s ＝80MW＜Q c_r Therefore, the battery energy storage device can provide enough capacity, but the electric heat storage device can not provide enough capacity, so the formula (20) is selected for calculation, and the capacities which are planned when the next day is filled out and need to be provided by the battery energy storage device and the electric heat storage device are respectively obtained
It is to be understood that the above-described embodiments are only a few embodiments of the present invention, and not all embodiments. The above examples are only for explaining the present invention and do not constitute a limitation to the scope of protection of the present invention. All other embodiments, which can be derived by those skilled in the art from the above-described embodiments without any creative effort, namely all modifications, equivalents, improvements and the like made within the spirit and principle of the present application, fall within the protection scope of the present invention claimed.
Claims (1)
1. A method for reducing peak-to-valley difference of a power grid based on a battery energy storage device and an electric heat storage device is characterized by comprising the following steps:
step 1: collecting data: collecting power grid next-day prediction data, wherein the power grid next-day prediction data comprise the next-day average temperature T and the next-day average temperature reference value T of the place where the power grid is located 1 The relative humidity H of the air in the next day and the reference value H of the relative humidity of the air in the next day 1 The next day atmospheric pressure P and the next day atmospheric pressure reference value P 1 And the temperature T of the battery energy storage device c Temperature reference value T of battery energy storage device c1 Voltage U of battery energy storage device c Voltage reference value U of battery energy storage device c1 Charging and discharging conversion efficiency eta of battery energy storage device c And temperature T of the electric heat storage device ce Temperature reference value T of electric heat storage device ce1 Voltage U of electric heat storage device ce Voltage reference value U of electric heat storage device ce1 Heat generation and release conversion efficiency eta of electric heat storage device ce And the system also comprises the capacity Q of the wind driven generator assembling machine f Installed capacity Q of thermal generator set h Total capacity S of battery energy storage device ec Residual capacity S of battery energy storage device ec_s Total capacity S of electric heat storage device rc Residual capacity S of the electric heat storage device rc_s (ii) a Dividing the next day into n time intervals, and collecting the predicted power grid average load data of each time interval of the next day as { S } 1 ,S 2 ,...,S i ,...,S n And the generated power data of the wind generating set at each time interval is (Q) f1 ,Q f2 ,...,Q fi ,...,Q fn Predicted value data of electric heating load of each time interval is { Q } r_1 ,Q r_2 ,...,Q r_i ,...,Q r_n }；
Wherein S is i Is the average load of the i-th period, Q fi For the power generation of the wind generating set in the ith period, Q r_i The predicted value of the electric heating load of the ith time interval;
step 2: calculating the peak regulation coefficient of the battery energy storage device and the electric heat storage device:
step 2.1: calculating the peak regulation coefficient A of the battery energy storage device 1 Is composed of
Wherein k is r The influence coefficient, k, of the external operating environment of the power grid on the battery energy storage device next day c The influence coefficient of the inside of the battery energy storage device in the next day of the power grid is obtained;
T * 、H * 、P * predicting the average temperature, the relative humidity and the unit value of the atmospheric pressure for the next day,
T * ＝T/T 1 ；H * ＝H/H 1 ；P * ＝P/P 1 ； (4)
T c * 、U c * are the temperature of the battery energy storage device and the voltage per unit value of the battery energy storage device respectively,
T c * ＝T c /T c1 ；U c * ＝U c /U c1 (5)
step 2.2: calculating the peak regulation coefficient A of the electric heat storage device 2 Is composed of
Wherein k is re Heat storage for external environment of power grid operation next dayCoefficient of influence of the device, k ce Influence coefficients inside the electric heat storage device for the next day of power grid operation;
T ce * 、U ce * are the per unit values of the temperature of the electric heat storage device and the voltage of the electric heat storage device respectively,
T ce * ＝T ce /T ce1 ；U ce * ＝U ce /U ce1 (9)
and 3, step 3: judging the charging and discharging state of the battery energy storage device and the heat generation and release state of the electric heat storage device:
calculating the difference value of the predicted total output of the generator set in each time period of the next day and the average load of the power grid in the time period as
S di ＝Q fi +Q h -S i (10)
When S is di <When 0, the peak clipping is needed, and the step 4 is carried out: at this time, if S ec -S ec_s If the voltage is more than 0, the battery energy storage device can discharge to participate in peak clipping, otherwise, the battery energy storage device does not discharge; if S rc -S rc_s If the temperature is higher than 0, the electric heat storage device can release heat to participate in peak clipping, otherwise, the electric heat storage device does not release heat;
when S is di >When 0, the valley is required to be filled, and the step 5 is carried out: at this time, if S ec_s If the charging rate is more than 0, the battery energy storage device can be charged to participate in valley filling, otherwise, the battery energy storage device is not charged; if S rc_s If the temperature is higher than 0, the electric heat storage device can heat to participate in valley filling, otherwise, the electric heat storage device does not heat;
and 4, step 4: calculating the total load power required to be peak-clipped at the next day, and coordinating and planning the discharge of the battery energy storage device and the heat release of the electric heat storage device:
step 4.1: the total load power of the peak clipping required by the next day is calculated as
Wherein ε (x) is a unit step function, x = S i -Q fi -Q h ；
Calculating the total power of the electric heating load in the peak clipping period as
And 4.2: and coordinating and planning the discharge of the battery energy storage device and the heat release of the electric heat storage device:
when the battery energy storage device and the electric heat storage device can provide enough power for peak clipping:
if it is
The power needed to be provided by the battery energy storage device and the electric heat storage device during peak clipping of the next day is planned to be respectively
If it is
The power required to be provided by the battery energy storage device and the electric heat storage device is planned to be ^ on/off when the peak clipping is carried out on the next day>
When the battery energy storage device and the electric heat storage device can not provide enough power for peak clipping:
if S ec -S ec_s ≥Q cd And S rc -S rc_s ＜Q cr The power needed to be provided by the battery energy storage device and the electric heat storage device during peak clipping of the next day is planned to be respectively
If S ec -S ec_s ＜Q cd And S rc -S rc_s ≥Q cr The power needed to be provided by the battery energy storage device and the electric heat storage device during peak clipping of the next day is planned to be respectively
If S ec -S ec_s ＜Q cd And S rc -S rc_s ＜Q cr Or S rc -S rc_s ＜Q cr And S ec -S ec_s ＜Q cd * Or S ec -S ec_s ＜Q cd And S rc -S rc_s ＜Q cr * The power needed to be provided by the battery energy storage device and the electric heat storage device during peak clipping of the next day is planned to be respectively
And 5: calculating the total load power amount of the next daily valley filling, coordinating and planning the charging of the battery energy storage device and the heating of the electric heat storage device:
step 5.1: calculating the total load power amount of the next daily valley filling
Wherein epsilon (t) is a unit step function, t = Q fi +Q h -S i ；
Step 5.2: coordinating and planning charging of the battery energy storage device and heating of the electric heat storage device:
when the battery energy storage device and the electric heat storage device can provide enough capacity for valley filling: the capacities of the battery energy storage device and the electric heat storage device which need to be provided during the next valley filling are planned to be respectively
When the battery energy storage device and the electric heat storage device can not provide enough capacity for valley filling:
if S ec_s ≥Q c_d And S rc_s ＜Q c_r The capacities of the battery energy storage device and the electric heat storage device are planned to be provided respectively during the next valley filling
If S ec_s ＜Q c_d And S rc_s ≥Q c_r The capacities of the battery energy storage device and the electric heat storage device are planned to be provided respectively during the next valley filling
If S ec_s ＜Q c_d And S rc_s ＜Q c_r Or S rc_s ＜Q c_r And S ec_s ＜Q c_d * Or S ec_s ＜Q c_d And S rc_s ＜Q c_r * The capacities of the battery energy storage device and the electric heat storage device are planned to be provided respectively during the next valley filling
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