CN112803451B - Scheduling power control method based on energy storage regulation cloud platform and distributed energy storage - Google Patents
Scheduling power control method based on energy storage regulation cloud platform and distributed energy storage 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
- H02J3/28—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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
Abstract
The invention provides a dispatching power control method based on an energy storage regulation cloud platform and distributed energy storage, wherein aggregation management control is carried out on the distributed energy storage through the cloud platform, energy storage regulation and control are carried out according to different energy storage requirements, the application limit of single distributed energy storage is expanded, and the comprehensive utilization rate of the distributed energy storage is improved; meanwhile, the distributed energy storage power response capability of the access cloud platform is distinguished, the economic benefits of energy storage instruction response at different time intervals are measured and calculated in real time, and a control method giving consideration to both regulation performance and regulation benefits is provided.
Description
Technical Field
The invention relates to the technical field of power distribution network dispatching power regulation and control, in particular to a dispatching power control method based on an energy storage regulation and control cloud platform and distributed energy storage.
Background
At present, the energy storage cost is high, the application mode is single, the investment return period is too long, and the healthy and rapid development of the energy storage industry is hindered to a certain extent.
The conventional energy storage system is mainly designed and applied according to a specific requirement, and particularly if distributed energy storage is only low in utilization rate according to a single requirement, the investment return period is long. Moreover, since the design power and capacity of a single distributed energy storage system are not large, it is difficult to independently fulfill the application requirements beyond the design function. Meanwhile, the adjustment performance is mainly considered in the current energy storage scheduling adjustment, and less consideration is given to the dynamic adjustment of the energy storage adaptive economy, so that the economic benefit cannot be realized to the maximum extent in the life cycle of the energy storage system.
It is noted that this section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. The description herein is not admitted to be prior art by inclusion in this section.
Disclosure of Invention
The invention aims to provide a scheduling power control method based on an energy storage regulation and control cloud platform and distributed energy storage, which is based on the cloud platform, realizes the aggregation application of distributed energy storage systems, carries out classification and identification on various energy storage requirements, comprehensively considers the power and capacity characteristics of the energy storage systems, combines and regulates the benefits in reasonable regulation intervals of different distributed energy storage systems, provides a novel distributed energy storage control method based on the cloud platform, and improves the benefits of the energy storage systems on the basis of meeting the regulation requirements.
In order to achieve the purpose, the invention adopts the following technical scheme:
a scheduling power control method based on an energy storage regulation and control cloud platform and distributed energy storage is characterized in that distributed energy storage units on nodes are arranged in a power distribution network, real-time energy storage requirements, distributed energy storage states and energy storage response economy calculation are considered, distributed energy storage access characteristics are classified, the energy storage regulation and control cloud platform is connected with the distributed energy storage units, and regulation and control of scheduling power of the distribution network are achieved by issuing energy storage regulation and control instructions, and the method comprises the following steps:
s1: identifying energy storage requirements: determining the total energy storage power requirement of the next cycle
The energy storage regulation and control cloud platform identifies received frequency modulation power requirements, peak/valley power requirements, demand response power requirements, emergency standby power requirements and voltage regulation power requirements at regular time, and determines the total energy storage power requirements of the next period, wherein the formula is as follows:
wherein: p is NT(t) : the total power requirement in the period t;
P hi (t): the frequency modulation power requirement in the time period t;
P pj(t) : peak/valley power demand at time t;
P nk(t) : the demand response power demand is carried out in the period t;
psl (t): (ii) an emergency standby power requirement for a time period t;
P vm(t) : regulating the power requirement at t time;
s2: determining available normalized capacity: normalizing the energy storage system power of the distributed energy storage units on the nodes of the power distribution network
The distributed energy storage units on the power distribution network nodes are energy storage access points of the energy storage regulation cloud platform, and power is normalized by considering the SOC, the response capacity, the installed capacity, the standby requirement and the access position;
s3: classifying into power-type demand and energy-type demand according to energy storage power response time requirement
Knowing that the energy storage power deviation between the total energy storage power demand of the next period and the previous regulation instruction period is calculated by the total energy storage power demand of the next period in the step S1, the method specifically comprises the following steps:
and S31, calculating power type energy storage demand power, wherein if the power ratio of the deviation and the available normalization at the current moment is greater than a power change threshold, the power type demand is regulated, and the calculation formula is as follows:
P r1(t) ＝(P NT(t) -P NT(t-1) ) (3)
wherein: p r2(t) : power type energy storage demand power;
Δ t: adjusting the instruction cycle time;
P H : setting a threshold value for the power change rate;
P r1(t) : power deviation of the t period from the previous regulation command cycle;
P NT(t) : a power demand for a period t;
P NT(t-1) : the energy storage system power of the previous regulation instruction cycle;
s32: calculating the energy type energy storage required power, wherein the total power requirement in the period is deviated from the energy storage power P of the previous regulation instruction cycle r1(t) Normalized power P available at present time gyt(t) The ratio being greater than the power change threshold P H I.e. P r2(t) If the current regulation is more than 0, the regulation has power type regulation requirement, otherwise, the regulation has no power type regulation requirement, and the calculation formula is as follows:
wherein: p r3t : energy type energy storage demandCalculating power;
P NT(t) : power demand at time t;
P gyt(t) : normalizing the power at the current moment;
s4: dividing an energy storage regulation cloud platform to access an energy storage type: the energy storage regulation cloud platform divides distributed energy storage of each energy storage access point into energy type energy storage and power type energy storage according to the power response capability of the energy storage system
Energy type energy storage: the response of the accessed energy storage power is less than or equal to the power change rate and a threshold value is set,
power type energy storage: the access energy storage power response is larger than the power change rate setting threshold, and the calculation formula is as follows:
wherein: CH (CH) (i) : the maximum charge and discharge power of the ith energy storage access point;
INS (i) : installing power of the ith energy storage access point;
P H : setting a threshold value for the power change rate;
s5, judging the response power of the power type energy storage: judging the responsive power of the power type energy storage according to the power type distributed energy storage residual capacity of the access platform
P ei(t) : the ith access point t period can respond to the power;
P Er2T(t) : power type energy storage responseThe total power;
n is the number of power type energy storage access points;
SOC i(t) the residual electric quantity of the ith access point in the t time period;
SOC Bi(t) : the residual capacity of the standby demand of the ith access point in the t period;
SOC imin : the minimum residual capacity threshold value of the energy storage of the ith access point;
SOC imax : the maximum residual capacity threshold value of the energy stored by the ith access point;
s6: judging whether the response power meets the required power, if so, calculating the energy storage yield: calculating the energy storage yield according to the relation between the response power and the demand power response;
s7: grading the energy storage yield: grading the distributed energy storage yield according to the distributed energy storage net income conditions of different energy storage access points;
...
wherein: e max1(t) : all the energy storage access point power with the highest profit at the moment t;
E imax1 (t): the ith highest income energy storage access point power at the moment t;
E n : all energy storage access points at the moment t;
E max2(t) : all the energy storage access point power with the second highest income at the moment t;
E imax2 (t): the power of the ith energy storage access point with the highest income at the moment t;
E maxn(t) : all energy storage access point power with lowest profit at the moment t;
E imaxn (t): the power of the ith energy storage access point with the lowest profit at the moment t;
s8, distributing a power instruction of the energy storage access point: distributing an energy storage access point power instruction according to income grade division;
and S9, when only the energy type command is distributed, substituting the energy type energy storage power demand, the response power, the response income, the electricity consumption cost and the line loss into the steps S4-S8 to obtain the energy type energy storage distribution command.
Further, the step S2 of normalizing the power of the energy storage system specifically includes:
s21, calculating the ratio of the maximum charge-discharge power and the installed power of the energy storage system of each energy storage access point, and when the ratio is smaller than or equal to a power change rate set threshold, normalizing the power of the energy storage system of the access point to be the product of the installed power and the ratio; when the ratio is larger than a power change rate setting threshold, the normalized power of the access point energy storage system is the power of the point installation machine, and the calculation formula is as follows:
wherein: p gy(i) Normalizing power of the ith energy storage access point;
CH (i) : the maximum charge and discharge power of the ith energy storage access point;
INS (i) : installing power of the ith energy storage access point;
P H : setting a threshold value for the power change rate;
s22, determining the available energy storage access points by setting the energy storage regulation range of the energy storage access points, and obtaining the available normalized capacity at the same time, wherein the calculation formula is as follows:
wherein: p gyt(t) : available normalized power of all access point energy storage systems in the period t;
n is the number of energy storage access points;
SOC i(t) the residual electric quantity of the ith access point in the t time period;
SOC Bi(t) : the residual capacity of the standby demand of the ith access point in the t period;
SOC imin : the minimum residual capacity threshold value of the energy stored by the ith access point;
SOC imax : and the maximum residual capacity threshold of the energy stored by the ith access point.
Further, the step S6 of calculating the energy storage yield specifically includes:
knowing the responsive power and the demanded power, comprises the steps of:
s61, when the response power is less than the demand power response, the energy storage demand is distributed again according to the maximum response power;
s62, when the response power is larger than or equal to the demand power response, calculating the energy storage yield according to the real-time power response yield, the energy storage electricity cost and the line loss, wherein the calculation formula is as follows:
E i(t) ＝P esi(t) -P ci(t) -P ci(t) ×P li(t) (14)
wherein: e i(t) : adjusting the yield rate at the ith access point t period;
P esi(t) : adjusting the total income at the ith access point t time period;
P ci(t) the power consumption cost of the ith access point at the time t;
P li(t) : the line loss rate at the ith access point t.
Further, the step S8 of issuing the power instruction of the energy storage access point specifically includes:
s81, when the sum of all the distributed energy storage powers of the income level is less than or equal to the required power, the power control command of all the distributed energy storage of the income level is the response power of each distributed energy storage of the income level;
s82: when the sum of all the distributed energy storage powers of the income level is larger than the required power, the power control instruction of each distributed energy storage of the income level distributes the required power according to the proportion of the available residual electric quantity of each distributed energy storage of the income level and the sum of the available residual electric quantity of each distributed energy storage of the income level;
s83: when the distributed energy storage power with high profit level is distributed, the power instruction is distributed completely without residual required power;
s84, after the distributed energy storage power with high profit level is distributed, the rest required power is distributed to the distributed energy storage with the next profit level according to the distribution steps S81-S83 until all the required power is distributed, namely the distributed power is equal to all the power to be distributed, and the calculation formula is as follows after the power type energy storage distribution instruction is finished:
wherein: a. The Pimax1(t) : a power instruction of the ith highest-income energy storage access point at the moment t;
SOC imax1(t) : the residual electric quantity of the ith highest-income energy storage access point at the moment t;
SOC Bimax1(t) : the spare residual electric quantity of the ith highest income energy storage access point at the time t is needed;
A Pimax2(t) : an ith gain secondary high energy storage access point power instruction at the moment t;
SOC imax2(t) : the ith income second highest energy storage access point residual capacity at the moment t;
SOC Bimax2(t) : and (4) the ith income second highest energy storage access point needs standby residual capacity at the time t.
Further, the distributed energy storage unit at least comprises energy storage batteries, and the energy storage batteries are used for storing media for storing electric energy in a distributed manner.
The invention has the beneficial effects that:
the invention provides a scheduling power control method based on an energy storage regulation cloud platform and distributed energy storage, which is based on the cloud platform, realizes the aggregation application of distributed energy storage systems, carries out classification identification on various energy storage requirements, comprehensively considers the power and capacity characteristics of the energy storage systems, combines regulation benefits in reasonable regulation intervals of different distributed energy storage systems, provides a novel distributed energy storage control method based on the cloud platform, and improves the benefits of the energy storage systems on the basis of meeting the regulation requirements.
Drawings
FIG. 1 is a schematic diagram of a cloud energy storage control system of the present invention;
FIG. 2 is a flow chart of a cloud energy storage control system of the present invention;
fig. 3 is a flow chart of a method of scheduling power control of the present invention.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features or characteristics may be combined in any suitable manner in one or more embodiments.
The invention aims to provide a distributed energy storage control method which is based on a cloud platform and gives consideration to energy storage regulation performance and energy storage system benefits, aiming at the problems of the existing distributed energy storage control.
As shown in fig. 1, in a scheduling power control method based on an energy storage regulation cloud platform and distributed energy storage, distributed energy storage units on nodes are arranged in a power distribution network, real-time energy storage requirements, distributed energy storage states and energy storage response economic measurement and calculation are considered, distributed energy storage access characteristics are classified, and the energy storage regulation cloud platform is connected with the distributed energy storage units to issue energy storage regulation and control instructions so as to regulate and control the scheduling power of the distribution network.
As shown in fig. 2, 1, calculate total demand: the energy storage regulation and control cloud platform identifies various received energy storage requirements at regular time, and determines the total energy storage power requirement of the next period;
wherein: p NT(t) : the total power requirement in the period t;
P hi (t): the frequency modulation power requirement in the time period t;
P pj(t) : peak/valley power demand at time t;
P nk(t) : the demand response power demand is carried out in the period t;
psl (t): (ii) an emergency standby power requirement for a time period t;
P vm(t) : regulating the power requirement at t time;
2. calculating the normalized capacity: energy storage system power normalization processing
S21, calculating the ratio of the maximum charge-discharge power and the installed power of each access point energy storage system, and setting a threshold (P) when the ratio is less than or equal to the power change rate H ) The normalized power of the access point energy storage system is the product of the power of the point installation machine and the ratio; when the ratio is greater than the power change rate setting threshold (P) H ) The normalized power of the energy storage system of the access point is the power of the point installation machine, and the calculation formula is as follows:
wherein: p gy(i) Normalizing power of the ith energy storage access point;
CH (i) : the maximum charge and discharge power of the ith energy storage access point;
INS (i) : installing power of the ith energy storage access point;
P H : setting a threshold value for the power change rate;
s22, determining the available energy storage access points by setting the energy storage regulation range of the energy storage access points, and obtaining the available normalized capacity at the same time, wherein the calculation formula is as follows:
wherein: p gyt(t) : available normalized power of all access point energy storage systems in the period t;
n is the number of energy storage access points;
SOC i(t) the residual electric quantity of the ith access point in the t time period;
SOC Bi(t) : the residual capacity of the standby demand of the ith access point in the t period;
SOC imin : the minimum residual capacity threshold value of the energy stored by the ith access point;
SOC imax : and the maximum residual capacity threshold of the energy stored by the ith access point.
3. Classifying into power-type demand and energy-type demand according to energy storage power response time requirement
Knowing the total energy storage power demand of the next period in the step S1, calculating the energy storage power deviation between the total energy storage power demand of the next period and the previous regulation instruction period, the method specifically includes the following steps:
if the power ratio of the deviation and the available normalization at the current moment is larger than the power change threshold value P H This adjustment has a power type requirement;
the power type energy storage required power is the deviation of the deviation and the available normalized power at the current moment;
power demand of energy type P NT(t) (without power type requirement) or P gyt(t) (with power type demand).
P r1(t) ＝(P NT(t) -P NT(t-1) ) (3)
Wherein: p is r2(t) : power type energy storage requires power;
Δ t: adjusting the instruction cycle time;
P H : setting a threshold value for the power change rate;
P r1(t) : the power deviation of the t period from the previous regulation instruction cycle;
P NT(t) : power demand at time t;
P NT(t-1) : the energy storage system power of the previous regulation instruction cycle;
wherein: p r3t : energy type energy storage demand power;
P NT(t) : a power demand for a period t;
P gyt(t) : normalizing the power at the current moment;
4. the energy storage regulation and control cloud platform divides the accessed distributed energy storage into power type energy storage and energy type energy storage according to the power response capability of the energy storage system.
Accessing stored energy power response
Is less than or equal to the power change rate setting threshold (P) H ) Set to energy-type storage, power response
Is greater than the power change rate setting threshold (P) H ) Setting to power type energy storage;
wherein: CH (CH) (i) : the maximum charge and discharge power of the ith energy storage access point;
INS (i) : installing power of the ith energy storage access point;
P H : setting a threshold value for the power change rate;
5. judging the responsive power of the power type energy storage according to the power type distributed energy storage residual capacity of the access platform;
P ei(t) : (ii) an ith access point t period responsivepower;
P Er2T(t) : the power type energy storage responds to the total power;
n is the number of power type energy storage access points;
SOC i(t) the residual electric quantity of the ith access point in a time period t;
SOC Bi(t) : the residual capacity of the standby demand of the ith access point in the t period;
SOC imin : the minimum residual capacity threshold value of the energy stored by the ith access point;
SOC imax : the maximum residual capacity threshold value of the energy storage of the ith access point;
6. when the response power is smaller than the demand power response, the energy storage demand is distributed again according to the maximum response power demand;
7. when the response power is larger than or equal to the demand power response, calculating the energy storage yield according to the real-time power response yield, the energy storage electricity cost, the line loss and the like;
E i(t) ＝P esi(t) -P ci(t) -P ci(t) ×P li(t) (14)
wherein: e i(t) : adjusting the yield rate at the ith access point t period;
P esi(t) : adjusting the total income at the ith access point t time period;
P ci(t) the electricity cost of the ith access point at a time period t;
P li(t) : the line loss rate at the ith access point t period.
8. Grading the distributed energy storage yield according to the distributed energy storage net income conditions of different access points;
...
wherein: e max1(t) : all the energy storage access point power with the highest profit at the moment t;
E imax1 (t): the ith highest income energy storage access point power at the moment t;
E n : all energy storage access points at the moment t;
E max2(t) : all the energy storage access point power with the second highest income at the moment t;
E imax2 (t): the power of the ith energy storage access point with the highest income at the moment t;
E maxn(t) : all the energy storage access point power with the lowest profit at the moment t;
E imaxn (t): the power of the ith energy storage access point with the lowest profit at the moment t;
9. and (4) issuing an access point power instruction according to the income grade division.
And when the sum of the income level all-distributed energy storage power is less than or equal to the required power, the income level all-distributed energy storage power control instruction is the response power of each income level distributed energy storage.
And when the sum of all the distributed energy storage powers of the income level is larger than the required power, the power control instruction of each distributed energy storage of the income level distributes the required power according to the proportion of the available residual electric quantity of each distributed energy storage of the income level and the sum of the available residual electric quantity of each distributed energy storage of the income level.
And when the distributed energy storage power with high profit level is distributed, the power instruction is distributed without residual required power.
After the distributed energy storage power with high profit level is distributed, the rest required power is still available, and the distributed energy storage with the next profit level is controlled to be distributed according to the distribution steps until all the required power is distributed;
finishing the power type energy storage distribution instruction until the distributed power is equal to all the power to be distributed;
wherein: a. The Pimax1(t) : a power instruction of the ith highest-income energy storage access point at the moment t;
SOC imax1(t) : the residual electric quantity of the ith highest-income energy storage access point at the moment t;
SOC Bimax1(t) : the spare residual electric quantity of the ith highest income energy storage access point at the time t is needed;
A Pimax2(t) : an ith gain secondary high energy storage access point power instruction at the moment t;
SOC imax2(t) : the ith income second highest energy storage access point residual capacity at the moment t;
SOC Bimax2(t) : and (4) the ith income second highest energy storage access point needs standby residual capacity at the time t.
10. And when only the energy type command is distributed, substituting the energy type energy storage power demand, the response power, the response income, the power consumption cost, the line loss and the like into the steps S4-S9 to obtain the energy type energy storage distribution command.
In summary, as shown in fig. 3, the scheduling power control method based on the energy storage regulation cloud platform and the distributed energy storage is as follows:
(1) Calculating total demand
(2) Calculating normalized capacity
(3) Distinguishing the demand types: classifying the energy storage power response time requirements into two types of power type requirements and energy type requirements;
(a) Power type demand
Calculating the ratio of the power energy storage requirement to the energy storage requirement in the power type requirement respectively, comprising the following steps of:
(1) dividing energy storage types of all nodes of the energy storage regulation cloud platform;
the energy storage regulation cloud platform divides distributed energy storage of each energy storage access point into energy type energy storage and power type energy storage according to the power response capability of the energy storage system
Energy type energy storage: the response of the accessed energy storage power is less than or equal to the power change rate and a threshold value is set,
power type energy storage: the access energy storage power response is larger than the power change rate setting threshold, and the calculation formula is as follows:
wherein: CH (CH) (i) : the maximum charge and discharge power of the ith energy storage access point;
INS (i) : installing power of the ith energy storage access point;
P H : setting a threshold value for the power change rate;
(2) calculating power type energy storage responsive power;
judging the responsive power of the power type energy storage according to the power type distributed energy storage residual capacity of the access platform
P ei(t) : the ith access point t period can respond to the power;
P Er2T(t) : the power type energy storage responds to the total power;
n is the number of power type energy storage access points;
SOC i(t) the residual electric quantity of the ith access point in the t time period;
SOC Bi(t) : the residual capacity of the standby demand of the ith access point in the t period;
SOC imin : the minimum residual capacity threshold value of the energy stored by the ith access point;
SOC imax : the maximum residual capacity threshold value of the energy storage of the ith access point;
(3) judging whether the power requirement is met in the step (2);
(4) if the real-time power response yield is met, calculating the energy storage yield according to the real-time power response yield, the energy storage electricity cost, the line loss and the like, and calculating according to the steps S7-S9;
if not, the energy storage requirement is distributed again according to the maximum response power;
(5) the energy demand in the power storage demand is divided by the maximum.
(b) Energy type demand
And calculating the energy storage yield according to the real-time power response yield, the energy storage electricity cost, the line loss and the like, and calculating according to the steps S7-S9.
Example 1
1. Total energy storage power requirement:
and setting the energy storage regulation and control cloud platform to receive three energy storage regulation demands at t seconds, wherein the three energy storage regulation demands are 200kW and 170kW of frequency modulation demand and 180kW of emergency standby demand respectively. The total power demand of the energy storage in the adjusting period (t seconds) is 550kW; 2. normalization treatment:
the energy storage state of each access point of the energy storage regulation cloud platform is shown in the following table 1:
table 1 energy storage regulation and control of energy storage state of each access point of cloud platform
The energy storage installed capacity is the energy storage installed power of each access point; the maximum charge and discharge power is the maximum charge and discharge power under the condition of ensuring that the service life of the energy storage system is not influenced; normalization processing is carried out to obtain the ratio of the maximum charge-discharge power to the installed capacity; the normalized capacity is the product of the installed capacity of the energy storage system and the normalization processing (the normalization processing is less than or equal to a power change threshold value) or the installed capacity of the energy storage system (the normalization processing is more than the power change threshold value); the remaining SOC is the remaining capacity of the battery under the current condition; the standby SOC is the remaining battery capacity which needs to be reserved and does not participate in the adjustment under the current condition; the line loss is the electric quantity loss of the energy storage access point line.
Setting that each accessed energy storage can only be adjusted within the range of 10% < (residual SOC-standby SOC) being less than or equal to 100%, so that the energy storage access points 2-5 participate in the adjustment, and the available normalized capacity at the moment t is 100kW +80kW +50kW =330kW;
3. dividing and calculating power type energy storage requirements and energy type energy storage requirements:
setting the energy storage regulation power of the energy storage regulation cloud platform at the time of t-1 (t-1 second) to be 50kW, and setting the power regulation deviation between the time of t and the time of t-1 to be 550kW-50kW =500kW;
setting a power change rate setting threshold value as 1;
500/330/(t- (t-1)) >1, so that the power type energy storage demand power is 500kW-330kW =170kW, and the energy type energy storage demand is 330kW;
4. dividing the access energy storage types of the platform:
setting a threshold value according to the power change rate, and knowing that the access points 1 and 2 are energy type energy storage and the access points 3, 4 and 5 are power type energy storage;
5. power type energy storage may respond to power:
the responsive power of the power type energy storage 3, 4 and 5 is respectively as follows: 100 (2-1)/1 =100kW, 80 (2-1)/1 =80kW and 50 (2-1)/1 =50kW, and the total power of the power type energy storage response is 230kW. 2. The 3, 4 and 5 energy type response powers are normalized capacity 100kW, 80kW and 50kW respectively;
6. and response power judgment:
the response power meets the power demand;
7. calculating the energy storage yield:
setting the net benefit of energy storage at the t period to be 0.8 yuan/hour, and setting the power consumption costs of the access points 1, 2, 3, 4 and 5 to be 0.4 yuan/degree, 0.3 yuan/degree, 0.4 yuan/degree and 0.4 yuan/degree respectively;
the line loss rates are respectively 0.01, 0.15 and 0.15;
the access point 1 does not participate in regulation due to insufficient SOC, and the yield of the access point 2 is 0.8-0.4 x 0.01=0.396; it is also possible to calculate the profitability of the access points 3, 4, 5 as 0.497, 0.394, respectively.
8. Rate of return grading:
access point 3 revenue rate is first gear, access point 2 revenue rate is second gear, and access points 4 and 5 revenue rate is third gear.
9. Access point power command allocation:
power type energy storage instruction allocation:
3. 4, 5 are power type energy storage, and are divided into a first gear and a third gear according to the yield;
the access point is 3 first gears, the power response of the access point is 100kW, the power response is smaller than the power type demand, and the distributed power is 100kW;
and the power response of an access point 4 and a third gear 5 is 80kW +50kW =130kW which is larger than the residual power demand of 170kW-100kW =70KW. Thus, the allocated power of access point 4 is 70 × (30/(60 + 30)) =23.33kW, and the allocated power of access point 5 is 70 × (60/(60 + 30)) =46.67kW;
the energy type power allocation is the normalized capacity of the access points 2-5, 100kW, 80kW and 50kW, respectively.
By distinguishing the distributed energy storage power response capability of the access cloud platform and measuring and calculating the economic benefits of energy storage instruction response in different time periods in real time, the energy storage regulation performance is met and the energy storage regulation benefit is improved on the basis of ensuring the energy storage service life. Meanwhile, the comprehensive utilization rate of stored energy is improved by aggregating distributed stored energy.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
Claims (5)
1. A scheduling power control method based on an energy storage regulation cloud platform and distributed energy storage is characterized in that distributed energy storage units on nodes are arranged in a power distribution network, real-time energy storage requirements, distributed energy storage states and energy storage response economy measurement and calculation are considered, distributed energy storage access characteristics are classified, the energy storage regulation cloud platform is connected with the distributed energy storage units, and regulation and control of distribution network scheduling power are achieved by issuing energy storage regulation and control instructions, and the method comprises the following steps:
s1: identifying energy storage requirements: determining the total demand of energy storage power of the next period
The energy storage regulation and control cloud platform identifies received frequency modulation power demand, peak/valley regulation power demand, demand response power demand, emergency standby power demand and voltage regulation power demand at regular time, and determines the total energy storage power demand of the next period, wherein the formula is as follows:
wherein: p NT(t) : the total power requirement in the period t;
P hi (t): frequency modulation work in t time periodRate requirements;
P pj(t) : peak/valley power demand at time t;
P nk(t) : the demand response power demand is carried out in the period t;
psl (t): (ii) an emergency standby power requirement for a time period t;
P vm(t) : regulating the power requirement at t time;
s2: determining available normalized capacity: normalizing the energy storage system power of the distributed energy storage units on the nodes of the power distribution network
The distributed energy storage units on the nodes of the power distribution network are energy storage access points of the energy storage regulation cloud platform, and power is normalized by considering SOC, response capacity, installed capacity, standby requirements and access positions;
s3: classifying into power-type demand and energy-type demand according to energy storage power response time requirement
Knowing the total energy storage power demand of the next period in the step S1, calculating the energy storage power deviation between the total energy storage power demand of the next period and the previous regulation instruction period, the method specifically includes the following steps:
and S31, calculating the power type energy storage required power, wherein if the power ratio of the deviation and the available normalized power at the current moment is greater than a power change threshold, the power type requirement is adjusted, and the calculation formula is as follows:
P r1(t) ＝(P NT(t) -P NT(t-1) ) (3)
wherein: p is r2(t) : power type energy storage demand power;
Δ t: adjusting the instruction cycle time;
P H : setting a threshold value for the power change rate;
P r1(t) : the power deviation of the t period from the previous regulation instruction cycle;
P NT(t) : a power demand for a period t;
P NT(t-1) : the energy storage system power of the previous regulation instruction cycle;
s32: calculating the energy storage power demand, wherein the total power demand in the period is deviated from the energy storage power P of the previous regulation command cycle r1(t) Normalized power P available at present time gyt(t) The ratio being greater than the power change threshold P H I.e. P r2(t) If the current regulation is more than 0, the regulation has power type regulation requirement, otherwise, the regulation has no power type regulation requirement, and the calculation formula is as follows:
wherein: p r3t : energy type energy storage demand power;
P NT(t) : a power demand for a period t;
P gyt(t) : normalizing the power at the current moment;
s4: dividing an energy storage regulation cloud platform to access an energy storage type: the energy storage regulation cloud platform divides distributed energy storage of each energy storage access point into energy type energy storage and power type energy storage according to the power response capability of the energy storage system
Energy type energy storage: the response of the accessed energy storage power is less than or equal to the power change rate and a threshold value is set,
power type energy storage: the access energy storage power response is larger than the power change rate setting threshold, and the calculation formula is as follows:
wherein: CH (CH) (i) : the maximum charge and discharge power of the ith energy storage access point;
INS (i) : installing power of the ith energy storage access point;
P H : setting a threshold value for the power change rate;
s5, judging the response power of the power type energy storage: judging the responsive power of the power type energy storage according to the power type distributed energy storage residual capacity of the access platform
P ei(t) : the ith access point t period can respond to the power;
P Er2T(t) : the power type energy storage responds to the total power;
n is the number of power type energy storage access points;
SOC i(t) the residual electric quantity of the ith access point in the t time period;
SOC Bi(t) : the residual capacity of the standby demand of the ith access point in the t period;
SOC imin : the minimum residual capacity threshold value of the energy storage of the ith access point;
SOC imax : the maximum residual capacity threshold value of the energy stored by the ith access point;
s6: judging whether the response power meets the required power, if so, calculating the energy storage yield: calculating the energy storage yield according to the relation between the response power and the demand power response;
s7: grading the energy storage yield: grading the distributed energy storage yield according to the distributed energy storage net income conditions of different energy storage access points;
...
wherein: e max1(t) : all the energy storage access point power with the highest profit at the moment t;
E imax1 (t): the ith highest income energy storage access point power at the moment t;
E n : all energy storage access points at the moment t;
E max2(t) : all the energy storage access point power with the second highest income at the moment t;
E imax2 (t): the power of the ith energy storage access point with the highest income at the moment t;
E maxn(t) : all the energy storage access point power with the lowest profit at the moment t;
E imaxn (t): the power of the ith energy storage access point with the lowest profit at the moment t;
s8, distributing a power instruction of the energy storage access point: distributing an energy storage access point power instruction according to income grade division;
and S9, when only the energy type command is distributed, substituting the energy type energy storage power demand, the response power, the response income, the electricity consumption cost and the line loss into the steps S4-S8 to obtain the energy type energy storage distribution command.
2. The scheduling power control method based on the energy storage regulation cloud platform and the distributed energy storage according to claim 1, wherein the normalization processing on the energy storage system power in the step S2 is specifically:
s21, calculating the ratio of the maximum charge-discharge power and the installed power of the energy storage system of each energy storage access point, and when the ratio is smaller than or equal to a power change rate set threshold, normalizing the power of the energy storage system of the access point to be the product of the installed power and the ratio; when the ratio is larger than a power change rate setting threshold, the normalized power of the access point energy storage system is the power of the point installation machine, and the calculation formula is as follows:
wherein: p gy(i) Normalizing power of the ith energy storage access point;
CH (i) : the maximum charge and discharge power of the ith energy storage access point;
INS (i) : installing power of the ith energy storage access point;
P H : setting a threshold value for the power change rate;
s22, determining the available energy storage access points by setting the energy storage regulation range of the energy storage access points, and obtaining the available normalized capacity at the same time, wherein the calculation formula is as follows:
wherein: p gyt(t) : available normalized power of all access point energy storage systems in the period t;
n is the number of energy storage access points;
SOC i(t) the ith access point t Time interval residual electric quantity;
SOC Bi(t) : the ith access point t The remaining capacity of the time interval standby demand;
SOC imin : the minimum residual capacity threshold value of the energy stored by the ith access point;
SOC imax : and the maximum residual capacity threshold of the energy stored by the ith access point.
3. The scheduling power control method based on the energy storage regulation cloud platform and the distributed energy storage according to claim 1, wherein the step S6 of calculating the energy storage profitability specifically comprises:
knowing the responsive power and the demanded power, comprises the steps of:
s61, when the response power is less than the demand power response, the energy storage demand is distributed again according to the maximum response power;
s62, when the response power is larger than or equal to the demand power response, calculating the energy storage yield according to the real-time power response yield, the energy storage electricity cost and the line loss, wherein the calculation formula is as follows:
E i(t) ＝P esi(t) -P ci(t) -P ci(t) ×P li(t) (14)
wherein: e i(t) : adjusting the yield rate at the ith access point t period;
P esi(t) : adjusting the total income at the ith access point t time period;
P ci(t) the power consumption cost of the ith access point at the time t;
P li(t) : the line loss rate at the ith access point t period.
4. The scheduling power control method based on the energy storage regulation cloud platform and the distributed energy storage according to claim 1, wherein the step S8 of issuing the energy storage access point power instruction is specifically as follows:
s81, when the sum of all the distributed energy storage powers of the income level is less than or equal to the required power, the power control command of all the distributed energy storage of the income level is the response power of each distributed energy storage of the income level;
s82: when the sum of all the distributed energy storage powers of the income level is larger than the required power, the power control instruction of each distributed energy storage of the income level distributes the required power according to the proportion of the available residual electric quantity of each distributed energy storage of the income level and the sum of the available residual electric quantity of each distributed energy storage of the income level;
s83: when the distributed energy storage power with high profit grade is distributed, the power instruction is distributed without residual required power;
s84, after the distributed energy storage power with high profit level is distributed, the rest required power is distributed to the distributed energy storage with the next profit level according to the distribution steps S81-S83 until all the required power is distributed, namely the distributed power is equal to all the power to be distributed, and the calculation formula is as follows after the power type energy storage distribution instruction is finished:
wherein: a. The Pimax1(t) : a power instruction of the ith highest-income energy storage access point at the moment t;
SOC imax1(t) : the residual electric quantity of the ith highest-income energy storage access point at the moment t;
SOC Bimax1(t) : the spare residual electric quantity of the ith highest-income energy storage access point at the moment t is needed;
A Pimax2(t) : an ith gain secondary high energy storage access point power instruction at the moment t;
SOC imax2(t) : the ith income second highest energy storage access point residual capacity at the moment t;
SOC Bimax2(t) : and (4) the ith income second highest energy storage access point needs standby residual capacity at the moment t.
5. The scheduling power control method based on the energy storage regulation cloud platform and the distributed energy storage according to claim 1, wherein the distributed energy storage unit at least comprises an energy storage battery, and the energy storage battery is used for a medium for storing electric energy in the distributed energy storage.
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