CN113725892B - Energy storage self-adaptive flexible control method based on distributed multi-bus access - Google Patents
Energy storage self-adaptive flexible control method based on distributed multi-bus access Download PDFInfo
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- 238000004146 energy storage Methods 0.000 title claims abstract description 141
- 238000000034 method Methods 0.000 title claims abstract description 19
- 238000007599 discharging Methods 0.000 claims abstract description 54
- 230000002265 prevention Effects 0.000 claims abstract description 25
- 230000000151 anti-reflux effect Effects 0.000 claims description 9
- 230000003044 adaptive effect Effects 0.000 claims description 7
- 230000009191 jumping Effects 0.000 claims description 2
- 230000005540 biological transmission Effects 0.000 abstract description 3
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 5
- 229910001416 lithium ion Inorganic materials 0.000 description 5
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- 238000004364 calculation method Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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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 discloses a self-adaptive flexible control method based on distributed multi-bus access energy storage, relates to a grid-connected control system, and solves the technical problem that when the load of a power grid is small, the power generated by an energy storage system can be reversely transmitted to the power grid to easily cause overload or countercurrent of the power grid. The method comprises a countercurrent prevention strategy step, an overload prevention strategy step and a system operation step; the step of the anti-backflow strategy is used for determining charging power and discharging power issued to each distributed energy storage system; the overload prevention strategy step is used for determining a total charging power limit value and a total discharging power limit value which need to be issued to all the distributed energy storage systems; the system operation step is used for analyzing and judging which of the anti-backflow strategy and the overload prevention strategy is operated by the energy storage system, and the anti-backflow and overload prevention functions can be simultaneously met. The invention realizes the self-adaptive flexible control of the energy storage system and the dynamic adjustment of power, and can avoid the problems of overload of an access bus and the reverse transmission of discharge current to a power grid.
Description
Technical Field
The invention relates to a grid-connected control system, in particular to a self-adaptive flexible control method based on distributed multi-bus access energy storage.
Background
In recent years, as the cost of lithium ion batteries has decreased, the energy storage market has grown. The energy storage cost has been on the decline since 2010 by integrating the data of each research institution. The price of the lithium ion battery is reduced by nearly 80 percent in 2010-2017. Although the prices of the different technologies are different, the price reduction rates of the various types of batteries are approximately the same. According to BNEF data, in 2019, the average price of the global lithium ion battery pack is reduced by 87% compared with 2010 to 156 U.S. Pat. No. dollar/kilowatt-hour, and the average price of the Chinese lithium ion battery pack is the lowest and is 147 U.S. Pat. No. dollar/kilowatt-hour.
With the economic development, the power difference between the peak-to-valley power consumption and the valley power consumption of the area is larger and larger, so that the peak-to-valley power price difference is continuously enlarged by power grid enterprises to encourage the valley period to consume power. The price of the lithium ion battery pack is reduced, so that the overall cost of the energy storage system is reduced, and the mode that the energy storage system carries out peak clipping and valley filling on the user side to earn electricity price difference is more feasible.
The distributed energy storage system at the user side has the advantages of flexible access, short construction period and the like. However, how to match the energy storage system with the original power system without affecting the stability of the original power system is a solution to be solved. At present, a charge-discharge time period and charge-discharge power are set according to a peak-valley electricity price period to perform charge-discharge. However, when the load of the power grid is low, the energy storage management system transmits the electric energy generated by the energy storage system back to the power grid, so that the condition of overload or countercurrent of the power grid is easily caused, and the situation has no discharge income and is easily checked by the power grid.
Disclosure of Invention
The invention aims to solve the technical problem that the power generated by an energy storage system is fed back to a power grid when the load of the power grid is small, so that the problem that overload or countercurrent of power grid is easily caused is solved.
The invention discloses a self-adaptive flexible control method based on distributed multi-bus access energy storage, which comprises an anti-reflux strategy step, an anti-overload strategy step and a system operation step;
the step of the anti-backflow strategy is used for calculating charging power and discharging power issued to each distributed energy storage system according to the collected real-time power of the high-voltage incoming line cabinet and the collected real-time power of the energy storage system;
the overload prevention strategy step is used for calculating a total charging power limit value and a total discharging power limit value which need to be issued to all the distributed energy storage systems according to the collected real-time power of the low-voltage incoming line cabinet and the collected real-time power of the energy storage system;
the system operation step is used for judging whether the total discharge power limit value meets the function relation with the set anti-backflow power and whether the total charge power limit value meets the function relation with the set overload power, if so, the total discharge power limit value and the total charge power limit value are distributed, and the distribution result is issued to the corresponding distributed energy storage system; otherwise, the charging power and the discharging power are issued to the corresponding distributed energy storage system.
By monitoring the real-time power of the high-voltage incoming line side, the low-voltage grid-connected side and the energy storage system side, the self-adaptive flexible control of the energy storage system is realized according to the anti-backflow and anti-overload strategy arranged in the energy management system, and the power is dynamically regulated, so that the problems of overload of an access bus and the reverse transmission of discharge current to a power grid can be avoided.
The step of the anti-reflux strategy specifically comprises the following steps:
s11, collecting real-time power of the high-voltage incoming line cabinet and real-time power of the energy storage system in real time;
s12, judging whether the value of the analytic Ps+Pg is larger than or equal to the forward flowing reserved power of the electric energy of the energy storage system, and if so, performing the next step; otherwise, the energy management system assigns the total discharge power to zero and the total charge power to the value of analytic- [ Pz- (ps+pg) ] and returns to S11;
wherein Pg is real-time power of the high-voltage incoming line cabinet; ps is the energy storage system real-time power; pz is the maximum allowable power of the original power system;
s13, judging whether the value of the analytic type Ps+Pg-Py is larger than or equal to the total rated power of the energy storage system, and if so, performing the next step; otherwise, the energy management system assigns the total discharge power of the energy storage system to be the value of the analytic formula Ps+Pg-Py, assigns the total charge power to be the value of the analytic formula- [ PZ- (Ps+Pg) ] and returns to S11;
wherein Py is the forward flowing reserved power of the electric energy;
s14, the energy management system assigns the total discharge power as the total rated power of the energy storage system and assigns the total charge power as the analytic- [ PZ- (Ps+Pg)]According to the formulaDetermining the discharge power of the distributed energy storage system according to the formula +.>Determining charging power of the distributed energy storage system;
wherein Pfn is the discharge power of the nth distributed energy storage system; pcn is the charging power of the nth distributed energy storage system; pf is the total discharge power; pc is the total charging power; pe is the total rated power of the energy storage system; pen is the rated power of the nth distributed energy storage system.
In S14, after the energy management system assigns the total discharge power and the total charge power, the system returns to S11 to monitor the condition of the power grid in real time, so that the condition of electric energy countercurrent when the power grid changes can be effectively prevented, and the reliability of the system is improved.
The overload prevention strategy step specifically comprises the following steps:
s21, collecting real-time power of the low-voltage incoming line cabinet and real-time power of the energy storage system in real time;
s22, judging whether the real-time power of the low-voltage incoming line cabinet is greater than or equal to zero, if so, carrying out the next step; otherwise, jumping to S27;
s23, judging whether the real-time power of the energy storage system is smaller than or equal to zero, if so, performing the next step; otherwise, the energy management system assigns the total charging power limit value to a value of analytic- [ KQ- (Ps+Pd) ] and the total discharging power limit value to a value of analytic- [ KQ+ (Ps+Pd) ]; and returns to S21;
wherein K is a transformer protection overload prevention reservation coefficient; q is the capacity of the low-voltage bus which allows operation; ps is the energy storage system real-time power; pd is real-time power of the low-voltage wire inlet cabinet;
s24, judging whether the real-time power of the low-voltage incoming line cabinet is smaller than or equal to the product value of the protection overload prevention reserved coefficient of the transformer and the capacity of the low-voltage bus which is allowed to run, if so, carrying out the next step; otherwise, the energy management system assigns the total charging power limit value to a value of analytic- [ KQ- (Ps+Pd) ] and the total discharging power limit value to a value of analytic- [ KQ+ (Ps+Pd) ]; and returns to S21;
s25, judging whether the value of the analytic KQ- (Ps+Pd) is smaller than or equal to the total rated power of the energy storage system, and if so, performing the next step; otherwise, the energy management system assigns the total charging power limit value to be a negative value of the total rated power of the energy storage system, and assigns the total discharging power limit value to be a value of analytic KQ+ (Ps+Pd); and returns to S21;
s26, the energy management system assigns the total charging power limit value to be a value of analytic type- [ KQ- (Ps+Pd) ] and assigns the total discharging power limit value to be a value of analytic type KQ+ (Ps+Pd);
s27, judging whether the real-time power of the energy storage system is greater than or equal to zero, if so, performing the next step; otherwise, the energy management system assigns the total charging power limit value to a value of analytic- [ KQ- (Ps+Pd) ] and the total discharging power limit value to a value of analytic- [ KQ+ (Ps+Pd) ]; and returns to S21;
s28, judging whether the negative value of the real-time power of the low-voltage incoming line cabinet is smaller than or equal to the product of the overload protection reservation coefficient of the transformer and the capacity of the low-voltage bus which is allowed to run, if so, carrying out the next step; otherwise, the energy management system assigns the total charging power limit value to a value of analytic- [ KQ- (Ps+Pd) ] and the total discharging power limit value to a value of analytic- [ KQ+ (Ps+Pd) ]; and returns to S21;
s29, judging whether the value of the analytic KQ+ (Ps+Pd) is smaller than or equal to the total rated power of the energy storage system, and if so, performing the next step; otherwise, the energy management system assigns the total charging power limit value to be the value of the analytic- [ KQ- (Ps+Pd) ] and assigns the total discharging power limit value to the total rated power of the energy storage system; and returns to S21;
s30, the energy management system assigns the total charging power limit value to be a value of an analytical formula- [ KQ- (Ps+Pd) ] and assigns the total discharging power limit value to be a value of an analytical formula KQ+ (Ps+Pd).
In S26, after the energy management system assigns the total charging power limit value and the total discharging power limit value, the system returns to S21 to prevent the bus from being overloaded when the power grid changes, thereby improving the reliability of the system.
In S30, after the energy management system assigns the total charging power limit value and the total discharging power limit value, the system returns to S21 to prevent the bus from being overloaded when the power grid changes, thereby improving the reliability of the system.
The functional relation between the total discharge power limit value and the set anti-backflow power is as follows:
wherein Pfxi is the discharge power limit of the ith distributed energy storage system;is the total discharge power limit; pg is real-time power of the high-voltage wire inlet cabinet; ps is the energy storage system real-time power; py is reserved power for forward flowing of electric energy; the set anti-backflow power is the value of analytic Ps+Pg-Py;
the functional relation between the total charging power limit value and the set overload power is as follows:
wherein, pcxi is the charging power limit of the ith distributed energy storage system;is a total charge power limit; k is a transformer protection overload prevention reservation coefficient; pz is the maximum allowable power of the original power system; the overload power is set to the value of the analytical formula KPz.
The distribution total discharge power limit value and the total charge power limit value, and the distribution result is issued to the corresponding distributed energy storage system, specifically:
and distributing the total charging power limit value and the total discharging power limit value according to the duty ratio of the rated charging power limit value and the rated discharging power limit value of each distributed energy storage system so as to obtain the charging power limit value and the discharging power limit value of each distributed energy storage system, and leading the lower parts of the charging power limit value and the discharging power limit value to the corresponding distributed energy storage system.
Advantageous effects
The invention has the advantages that: by monitoring the real-time power of the high-voltage incoming line side, the low-voltage grid-connected side and the energy storage system side, the self-adaptive flexible control of the energy storage system is realized according to the anti-backflow and anti-overload strategy arranged in the energy management system, and the power is dynamically regulated, so that the problems of overload of an access bus and the reverse transmission of discharge current to a power grid can be avoided.
Drawings
FIG. 1 is a schematic diagram of a distributed energy storage system of the present invention accessing an original power system;
FIG. 2 is a control strategy flow chart of the present invention;
FIG. 3 is a flow chart of the steps of the anti-reflux strategy of the present invention;
FIG. 4 is a flowchart illustrating the steps of the overload prevention strategy according to the present invention.
Detailed Description
The invention is further described below in connection with the examples, which are not to be construed as limiting the invention in any way, but rather as falling within the scope of the claims.
Referring to fig. 1-3, the distributed multi-bus access energy storage based adaptive flexible control method provided by the invention comprises an anti-reflux strategy step, an anti-overload strategy step and a system operation step. The anti-backflow strategy step is used for calculating charging power and discharging power issued to each distributed energy storage system according to the collected real-time power of the high-voltage incoming line cabinet and the collected real-time power of the energy storage system. It should be noted that, the energy storage system of the present embodiment is a generic term of all distributed energy storage systems.
The anti-reflux strategy comprises the following steps:
s11, collecting real-time power of the high-voltage incoming line cabinet and real-time power of the energy storage system in real time. Wherein, when the real-time power of the high-voltage wire inlet cabinet is positive, electric energy flows in, and when the real-time power of the high-voltage wire inlet cabinet is negative, electric energy is reversely sent; and when the real-time power of the energy storage system is positive, the energy storage system is in a discharging state, and when the real-time power of the energy storage system is negative, the energy storage system is in a charging state.
S12, judging whether the value of the analytic Ps+Pg is larger than or equal to the forward flowing reserved power of the electric energy of the energy storage system, and if so, performing the next step; otherwise, the energy management system assigns the total discharge power to zero and assigns the total charge power to the analytic value- [ PZ- (Ps+Pg) ] and returns to S11 to perform acquisition judgment again.
Pg in the analytic formula and the analytic formula is real-time power of the high-voltage wire inlet cabinet; ps is the energy storage system real-time power; pz is the maximum allowable power for the original power system.
S13, judging whether the value of the analytic type Ps+Pg-Py is larger than or equal to the total rated power of the energy storage system, and if so, performing the next step; otherwise, the energy management system assigns the total discharge power of the energy storage system as the value of the analytic formula Ps+Pg-Py and assigns the total charge power as the value of the analytic formula- [ PZ- (Ps+Pg) ] and returns to S11 to perform acquisition judgment again.
Py in the analytical formula reserves power for forward flow of electric energy.
And S14, the energy management system assigns the total discharge power to be the total rated power of the energy storage system, and assigns the total charge power to be the value of analytic- [ PZ- (Ps+Pg) ]. At this time, the total charge and discharge power of the energy storage system is assigned. The energy management system distributes the total charge and discharge power according to the duty ratio of rated power of each distributed energy storage system. The method comprises the following steps:
according to the formulaDetermining the discharge power of the distributed energy storage system according to the formulaThe charging power of the distributed energy storage system is determined.
Wherein Pfn is the discharge power of the nth distributed energy storage system; pcn is the charging power of the nth distributed energy storage system; pf is the total discharge power, and Pf is more than or equal to 0 and less than or equal to Pe; pc is the total charging power, and Pf is more than or equal to-Pe and less than or equal to 0; pe is the total rated power of the energy storage system; pen is the rated power of the nth distributed energy storage system.
In addition, after the energy management system finishes the assignment of the total discharge power and the total charge power, the system continues to return to the S11, and the real-time power of the high-voltage inlet cabinet and the energy storage system is continuously collected so as to monitor the condition of the power grid in real time, thereby effectively preventing the condition of electric energy countercurrent when the power grid changes and improving the reliability of the system.
The overload prevention strategy step is used for calculating the total charging power limit value and the total discharging power limit value which need to be issued to all the distributed energy storage systems according to the collected real-time power of the low-voltage incoming line cabinet and the collected real-time power of the energy storage system. The overload prevention strategy step specifically comprises the following steps:
s21, collecting real-time power of the low-voltage incoming line cabinet and real-time power of the energy storage system in real time. Wherein, when the real-time power of low-voltage inlet wire cabinet is positive value, it is the electric energy inflow, when the real-time power of low-voltage inlet wire cabinet is negative value, it is the electric energy back-feed.
S22, judging whether the real-time power of the low-voltage incoming line cabinet is greater than or equal to zero, if so, carrying out the next step; otherwise, the process goes to S27. When the real-time power of the low-voltage inlet wire cabinet is greater than or equal to zero, the energy management system carries out assignment on the limit value of the total charge and discharge power through S23-S26; when the real-time power of the low-voltage inlet wire cabinet is smaller than zero, the energy management system assigns the total charge-discharge power limit value through S27-S30.
S23, judging whether the real-time power of the energy storage system is smaller than or equal to zero, if so, performing the next step; otherwise, the energy management system assigns the total charging power limit value to a value of analytic- [ KQ- (Ps+Pd) ] and the total discharging power limit value to a value of analytic- [ KQ+ (Ps+Pd) ]; and returning to S21, and carrying out acquisition judgment again.
K in the analytic formulas is a transformer protection overload prevention reserved coefficient; q is the capacity of the low-voltage bus which allows operation; ps is the energy storage system real-time power; pd is real-time power of the low-voltage wire inlet cabinet.
S24, judging whether the real-time power of the low-voltage incoming line cabinet is smaller than or equal to the product value of the protection overload prevention reserved coefficient of the transformer and the capacity of the low-voltage bus which is allowed to run, if so, carrying out the next step; otherwise, the energy management system assigns the total charging power limit value to a value of analytic- [ KQ- (Ps+Pd) ] and the total discharging power limit value to a value of analytic- [ KQ+ (Ps+Pd) ]; and returning to S21, and carrying out acquisition judgment again.
S25, judging whether the value of the analytic KQ- (Ps+Pd) is smaller than or equal to the total rated power of the energy storage system, and if so, performing the next step; otherwise, the energy management system assigns the total charging power limit value to be a negative value of the total rated power of the energy storage system, and assigns the total discharging power limit value to be a value of analytic KQ+ (Ps+Pd); and returns to S21.
S26, the energy management system assigns the total charging power limit value to be a value of an analytical formula- [ KQ- (Ps+Pd) ] and assigns the total discharging power limit value to be a value of an analytical formula KQ+ (Ps+Pd). At this time, after the total charge and discharge power limit value is assigned, a system operation step may be performed to determine that the system is finally operated with an anti-backflow strategy or an anti-overload strategy.
In addition, in the step, after the energy management system finishes assigning the total charging power limit value and the total discharging power limit value, the system continues to return to the S21 so as to monitor the condition of the power grid in real time, prevent the condition of overload of the bus when the power grid changes, and effectively improve the reliability of the system.
S27, judging whether the real-time power of the energy storage system is greater than or equal to zero, if so, performing the next step; otherwise, the energy management system assigns the total charging power limit value to a value of analytic- [ KQ- (Ps+Pd) ] and the total discharging power limit value to a value of analytic- [ KQ+ (Ps+Pd) ]; and returns to S21.
S28, judging whether the negative value of the real-time power of the low-voltage incoming line cabinet is smaller than or equal to the product of the overload protection reservation coefficient of the transformer and the capacity of the low-voltage bus which is allowed to run, if so, carrying out the next step; otherwise, the energy management system assigns the total charging power limit value to a value of analytic- [ KQ- (Ps+Pd) ] and the total discharging power limit value to a value of analytic- [ KQ+ (Ps+Pd) ]; and returns to S21.
S29, judging whether the value of the analytic KQ+ (Ps+Pd) is smaller than or equal to the total rated power of the energy storage system, and if so, performing the next step; otherwise, the energy management system assigns the total charging power limit value to be the value of the analytic- [ KQ- (Ps+Pd) ] and assigns the total discharging power limit value to the total rated power of the energy storage system; and returns to S21.
S30, the energy management system assigns the total charging power limit value to be a value of an analytical formula- [ KQ- (Ps+Pd) ] and assigns the total discharging power limit value to be a value of an analytical formula KQ+ (Ps+Pd). After the energy management system finishes assigning the total charging power limit value and the total discharging power limit value, the process returns to S21.
After the calculation and analysis are performed according to the real-time condition of the power grid through the anti-reflux strategy step and the overload strategy step, the energy management system can further analyze the analysis results through the system operation step so as to determine the operation mode capable of finally realizing anti-reflux and overload. Specifically, the system operation step is used for judging whether the total discharge power limit value meets the function relation with the set anti-backflow power and whether the total charge power limit value meets the function relation with the set overload power, if so, the total discharge power limit value and the total charge power limit value are distributed, and the distribution result is issued to the corresponding distributed energy storage system; otherwise, the charging power and the discharging power are sent to the corresponding distributed energy storage system.
The method comprises the steps of distributing a total discharge power limit value and a total charge power limit value, and issuing a distribution result to a corresponding distributed energy storage system, wherein the distribution result comprises the following specific steps:
and distributing the total charging power limit value and the total discharging power limit value according to the ratio of the rated charging power limit value and the rated discharging power limit value of each distributed energy storage system so as to obtain the charging power limit value and the discharging power limit value of each distributed energy storage system, and leading the lower parts of the charging power limit value and the discharging power limit value to the corresponding distributed energy storage system.
The functional relation between the total discharge power limit value and the set anti-backflow power is as follows:
wherein Pfxi is the discharge power limit of the ith distributed energy storage system;is the total discharge power limit; pg is real-time power of the high-voltage wire inlet cabinet; ps is the energy storage system real-time power; py is reserved power for forward flowing of electric energy; the set reverse flow preventing power is the value of the analytic formula Ps+Pg-Py.
The functional relationship between the total charging power limit and the set overload power is:
wherein, pcxi is the charging power limit of the ith distributed energy storage system;is a total charge power limit; k is a transformer protection overload prevention reservation coefficient; pz is the maximum allowable power of the original power system; the overload power is set to the value of the analytical formula KPz.
That is, when the total charge-discharge power limit satisfies the two functional relationships described above, the energy management system operates with an overload prevention strategy; when the total charge and discharge power limit does not meet the two functional relationships, the energy management system operates in an anti-reflux strategy. However, the energy management system monitors the real-time condition of the power grid through the anti-backflow strategy step and the overload prevention strategy step at the same time, so that the energy management system has the anti-backflow and overload prevention functions no matter what strategy the energy management system operates. And in the running process of the energy management system, the power grid is continuously monitored, so that the system has the functions of dynamically flexibly adjusting charge and discharge power, preventing overload and preventing countercurrent, can be matched with an original power system, and ensures the normal work of the energy storage system and the stability of the original power system.
While only the preferred embodiments of the present invention have been described above, it should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present invention, and these do not affect the effect of the implementation of the present invention and the utility of the patent.
Claims (7)
1. The self-adaptive flexible control method based on the distributed multi-bus access energy storage is characterized by comprising an anti-countercurrent strategy step, an anti-overload strategy step and a system operation step;
the step of the anti-backflow strategy is used for calculating charging power and discharging power issued to each distributed energy storage system according to the collected real-time power of the high-voltage incoming line cabinet and the collected real-time power of the energy storage system;
the overload prevention strategy step is used for calculating a total charging power limit value and a total discharging power limit value which need to be issued to all the distributed energy storage systems according to the collected real-time power of the low-voltage incoming line cabinet and the collected real-time power of the energy storage system;
the system operation step is used for judging whether the total discharge power limit value meets the function relation with the set anti-backflow power and whether the total charge power limit value meets the function relation with the set overload power, if so, the total discharge power limit value and the total charge power limit value are distributed, and the distribution result is issued to the corresponding distributed energy storage system; otherwise, the charging power and the discharging power are issued to the corresponding distributed energy storage system;
the functional relation between the total discharge power limit value and the set anti-backflow power is as follows:
wherein Pfxi is the discharge power limit of the ith distributed energy storage system;is the total discharge power limit; pg is real-time power of the high-voltage wire inlet cabinet; ps is the energy storage system real-time power; py is reserved power for forward flowing of electric energy; the setting is thatThe reverse flow prevention power is the value of the analytic type Ps+Pg-Py;
the functional relation between the total charging power limit value and the set overload power is as follows:
wherein, pcxi is the charging power limit of the ith distributed energy storage system;is a total charge power limit; k is a transformer protection overload prevention reservation coefficient; pz is the maximum allowable power of the original power system; the overload power is set to the value of the analytical formula KPz.
2. The adaptive flexible control method based on distributed multi-bus access energy storage of claim 1, wherein the step of the anti-reflux strategy specifically comprises:
s11, collecting real-time power of the high-voltage incoming line cabinet and real-time power of the energy storage system in real time;
s12, judging whether the value of the analytic Ps+Pg is larger than or equal to the forward flowing reserved power of the electric energy of the energy storage system, and if so, performing the next step; otherwise, the energy management system assigns the total discharge power to zero and the total charge power to the value of analytic- [ Pz- (ps+pg) ] and returns to S11;
wherein Pg is real-time power of the high-voltage incoming line cabinet; ps is the energy storage system real-time power; pz is the maximum allowable power of the original power system;
s13, judging whether the value of the analytic type Ps+Pg-Py is larger than or equal to the total rated power of the energy storage system, and if so, performing the next step; otherwise, the energy management system assigns the total discharge power of the energy storage system to be the value of the analytic formula Ps+Pg-Py, assigns the total charge power to be the value of the analytic formula- [ PZ- (Ps+Pg) ] and returns to S11;
wherein Py is the forward flowing reserved power of the electric energy;
s14, the energy management system discharges the totalThe power is assigned as the total rated power of the energy storage system and the total charging power is assigned as the analytic type- [ PZ- (Ps+Pg)]According to the formulaDetermining the discharge power of the distributed energy storage system according to the formula +.>Determining charging power of the distributed energy storage system;
wherein Pfn is the discharge power of the nth distributed energy storage system; pcn is the charging power of the nth distributed energy storage system; pf is the total discharge power; pc is the total charging power; pe is the total rated power of the energy storage system; pen is the rated power of the nth distributed energy storage system.
3. The adaptive flexible control method based on distributed multi-bus access energy storage of claim 2, wherein in S14, the energy management system returns to S11 after assigning the total discharge power and the total charge power.
4. The adaptive flexible control method based on distributed multi-bus access energy storage according to claim 1, wherein the overload prevention strategy step specifically comprises the following steps:
s21, collecting real-time power of the low-voltage incoming line cabinet and real-time power of the energy storage system in real time;
s22, judging whether the real-time power of the low-voltage incoming line cabinet is greater than or equal to zero, if so, carrying out the next step; otherwise, jumping to S27;
s23, judging whether the real-time power of the energy storage system is smaller than or equal to zero, if so, performing the next step; otherwise, the energy management system assigns the total charging power limit value to a value of analytic- [ KQ- (Ps+Pd) ] and the total discharging power limit value to a value of analytic- [ KQ+ (Ps+Pd) ]; and returns to S21;
wherein K is a transformer protection overload prevention reservation coefficient; q is the capacity of the low-voltage bus which allows operation; ps is the energy storage system real-time power; pd is real-time power of the low-voltage wire inlet cabinet;
s24, judging whether the real-time power of the low-voltage incoming line cabinet is smaller than or equal to the product value of the protection overload prevention reserved coefficient of the transformer and the capacity of the low-voltage bus which is allowed to run, if so, carrying out the next step; otherwise, the energy management system assigns the total charging power limit value to a value of analytic- [ KQ- (Ps+Pd) ] and the total discharging power limit value to a value of analytic- [ KQ+ (Ps+Pd) ]; and returns to S21;
s25, judging whether the value of the analytic KQ- (Ps+Pd) is smaller than or equal to the total rated power of the energy storage system, and if so, performing the next step; otherwise, the energy management system assigns the total charging power limit value to be a negative value of the total rated power of the energy storage system, and assigns the total discharging power limit value to be a value of analytic KQ+ (Ps+Pd); and returns to S21;
s26, the energy management system assigns the total charging power limit value to be a value of analytic type- [ KQ- (Ps+Pd) ] and assigns the total discharging power limit value to be a value of analytic type KQ+ (Ps+Pd);
s27, judging whether the real-time power of the energy storage system is greater than or equal to zero, if so, performing the next step; otherwise, the energy management system assigns the total charging power limit value to a value of analytic- [ KQ- (Ps+Pd) ] and the total discharging power limit value to a value of analytic- [ KQ+ (Ps+Pd) ]; and returns to S21;
s28, judging whether the negative value of the real-time power of the low-voltage incoming line cabinet is smaller than or equal to the product of the overload protection reservation coefficient of the transformer and the capacity of the low-voltage bus which is allowed to run, if so, carrying out the next step; otherwise, the energy management system assigns the total charging power limit value to a value of analytic- [ KQ- (Ps+Pd) ] and the total discharging power limit value to a value of analytic- [ KQ+ (Ps+Pd) ]; and returns to S21;
s29, judging whether the value of the analytic KQ+ (Ps+Pd) is smaller than or equal to the total rated power of the energy storage system, and if so, performing the next step; otherwise, the energy management system assigns the total charging power limit value to be the value of the analytic- [ KQ- (Ps+Pd) ] and assigns the total discharging power limit value to the total rated power of the energy storage system; and returns to S21;
s30, the energy management system assigns the total charging power limit value to be a value of an analytical formula- [ KQ- (Ps+Pd) ] and assigns the total discharging power limit value to be a value of an analytical formula KQ+ (Ps+Pd).
5. The adaptive flexible control method based on distributed multi-bus access energy storage of claim 4, wherein in S26, the energy management system returns to S21 after assigning the total charging power limit and the total discharging power limit.
6. The adaptive flexible control method based on distributed multi-bus access energy storage of claim 4, wherein in S30, the energy management system returns to S21 after assigning the total charging power limit and the total discharging power limit.
7. The adaptive flexible control method for energy storage based on distributed multi-bus access according to claim 1, wherein the allocation of the total discharge power limit and the total charge power limit and the distribution of the allocation result to the corresponding distributed energy storage system are as follows:
and distributing the total charging power limit value and the total discharging power limit value according to the duty ratio of the rated charging power limit value and the rated discharging power limit value of each distributed energy storage system so as to obtain the charging power limit value and the discharging power limit value of each distributed energy storage system, and leading the lower parts of the charging power limit value and the discharging power limit value to the corresponding distributed energy storage system.
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