CN113872225B - Energy storage system capacity optimal configuration method based on source-load-storage coordination control - Google Patents
Energy storage system capacity optimal configuration method based on source-load-storage coordination control Download PDFInfo
- Publication number
- CN113872225B CN113872225B CN202111320207.3A CN202111320207A CN113872225B CN 113872225 B CN113872225 B CN 113872225B CN 202111320207 A CN202111320207 A CN 202111320207A CN 113872225 B CN113872225 B CN 113872225B
- Authority
- CN
- China
- Prior art keywords
- energy storage
- storage system
- energy
- power
- load
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000004146 energy storage Methods 0.000 title claims abstract description 183
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000003860 storage Methods 0.000 title claims abstract description 13
- 238000005457 optimization Methods 0.000 claims abstract description 25
- 238000010248 power generation Methods 0.000 claims description 21
- 238000007599 discharging Methods 0.000 claims description 7
- 230000000694 effects Effects 0.000 abstract description 3
- 238000005265 energy consumption Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000001105 regulatory effect Effects 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 125000004122 cyclic group Chemical group 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- 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
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses an energy storage system capacity optimal configuration method based on source-load-storage coordination control, which comprises the steps of obtaining operation parameters of a target area power grid; setting operation rules of a power supply, a load and an energy storage system in a target area power grid; setting an objective function of capacity optimization configuration of the energy storage system; setting a constraint condition of an energy storage system capacity optimization configuration objective function; solving the objective function under the operation rule and the constraint condition; and finishing the capacity optimization configuration of the energy storage system according to the optimization result. According to the method, the system operation rule and the optimization model are set scientifically, so that the capacity optimization configuration of the energy storage system of the regional power grid is realized, the peak clipping and valley filling effects of the energy storage system can be exerted, the new energy consumption capability is improved, and the influence on the power system caused by the randomness, the volatility and the intermittence of the new energy output is reduced; the method can effectively improve the reliability of the energy storage system, and has better objectivity and higher scientificity.
Description
Technical Field
The invention belongs to the field of electrical automation, and particularly relates to an energy storage system capacity optimal configuration method based on source-load-storage coordination control.
Background
With the development of economic technology and the improvement of living standard of people, electric energy becomes essential secondary energy in production and life of people, and brings endless convenience to production and life of people. Therefore, ensuring stable and reliable supply of electric energy is one of the most important tasks of the power system.
Meanwhile, as environmental problems have become more serious, new energy power generation systems have gradually started to be incorporated into power grids. And with the new energy power generation system being incorporated into the power grid, the randomness, volatility and intermittence characteristics of the new energy power generation system seriously affect the safe and stable operation of the power grid system. Therefore, how to realize the consumption of the new energy power generation system and how to ensure the safe and stable operation of the power grid becomes one of the new research directions of the power system.
The grid connection of the energy storage system is an ideal solution at present. After the energy storage system is incorporated into a power grid, the randomness, the volatility and the intermittent characteristics of the new energy power generation system can be better solved due to the quick response characteristic of the energy storage system; and the energy storage system can serve as a power supply system to supply power to the power grid when the load of the power grid is large, and serve as a load system to absorb redundant energy for the power grid when the load of the power grid is small, so that the important function of peak regulation and valley filling is played.
The capacity configuration of the energy storage system is too large, so that the cost is easily too high, and the reliability and the safety of the energy storage system with larger capacity are both smaller, so that the potential hazard of safe operation of a power grid is easily caused. When the capacity of the energy storage system is too small, the function of the energy storage system may not be exerted, and the phenomena of wind and water abandonment of the new energy system may occur. However, the capacity configuration of the energy storage system does not have a good calculation or optimization method at present; the existing method is generally configured according to experience, not only lacks practical theoretical research, but also has poor objectivity and scientificity; and the application effect is not good.
Disclosure of Invention
The invention aims to provide an energy storage system capacity optimal configuration method based on source-load-storage coordination control, which can effectively improve the reliability of an energy storage system and has better objectivity and higher scientificity.
The invention provides an energy storage system capacity optimal configuration method based on source-load-storage coordination control, which comprises the following steps:
s1, acquiring operation parameters of a power grid in a target area;
s2, setting operation rules of a power supply, a load and an energy storage system in a target area power grid;
s3, setting a target function for capacity optimization configuration of the energy storage system;
s4, setting constraint conditions of a capacity optimization configuration objective function of the energy storage system;
s5, under the operation rule set in the step S2 and the constraint condition set in the step S4, solving the objective function set in the step S3;
and S6, completing the capacity optimization configuration of the energy storage system according to the optimization result obtained in the step S5.
The step S2 of setting the operation rule of the power supply, the load, and the energy storage system in the target area grid includes the following steps:
A. according to the daily load rule of the target area power grid, dividing 24 hours of a day into the following 6 time periods:
a first valley period: time t6～t1；
A first flat time period: time t1～t2；
First peak period: time is t2～t3；
A second flat period: time is t3～t4；
Second peak period: time t4～t5；
A third period of time: time t5～t6；
B. And B, setting the following operation rules based on source-load-storage coordination control according to the 6 time periods divided in the step A:
when t is6≤t≤t1In the meantime, the operation rule of the new energy system is as follows: the energy storage system stores energy as much as possible and absorbs energy which is generated by the new energy power generation system and cannot be absorbed by a regional power grid; thus having PB(t)＝PB1(t)+PB2(t) wherein PB(t) is the active power absorbed by the energy storage system in real time, and P is the active power flow direction to the energy storage systemB(t) is positive and active power flows out of the energy storage system PB(t) is negative; pB1(t) is the first active power; p isB2(t) is the second active power; pB1(t) is calculated as
Wherein WBFor charging and discharging power of energy storage systems, PRES(t) is the real-time generated power, P, of the new energy power generation systemL(t) is the new energy load and defines P when the active power flows to the load directionL(t) is positive, SOC (t) is the real-time state of charge of the energy storage system, SOCmaxThe upper limit value of the state of charge of the energy storage system; pB2(t) is calculated as
Wherein E1Is t6～t1The electric quantity stored in the energy storage system in a time period
EBIs the capacity of the energy storage system;
when t is1＜t≤t2At the moment, operation gauge of new energy systemThen it is: the energy storage system absorbs energy which is generated by the new energy power generation system and cannot be absorbed by a regional power grid; thus is provided with
PB(t) is the active power absorbed by the energy storage system in real time;
when t is2＜t≤t3In the meantime, the operation rule of the new energy system is as follows: the energy storage system outputs energy storage energy as much as possible and is used for meeting the load of a regional power grid; thus is provided with
In the formula PB(t) is the active power, SOC, absorbed by the energy storage system in real timeminThe lower limit value of the state of charge of the energy storage system;
when t is3＜t≤t4In the meantime, the operation rule of the new energy system is as follows: the energy storage system stores as much energy as possible; thus having PB(t)＝PB'1(t)+PB'3(t) wherein PB(t) is the real-time absorbed active power of the energy storage system, PB'1(t) is the third active power, PB'3(t) is the fourth active power, PB'1(t) is calculated as
PB'3(t) is calculated as
Wherein E2Is t3～t4For the amount of power stored by the energy storage system during the time period and
when t is4＜t≤t5In the meantime, the operation rule of the new energy system is as follows: the energy storage system outputs energy storage energy as much as possible and is used for meeting the load of a regional power grid; thus is provided with
When t is5＜t≤t6In the meantime, the operation rule of the new energy system is as follows: and ensuring the load power supply of the regional power grid.
Setting the objective function of the energy storage system capacity optimization configuration in step S3, specifically, setting the objective function to min E with the capacity of the energy storage system being the minimum as the targetB；EBIs the capacity of the energy storage system.
The setting of the constraint condition of the energy storage system capacity optimization configuration objective function in step S4 specifically includes the following steps:
a. the following equation is used as the power balance constraint:
Pg(t)+PRES(t)＝PB(t)+PL(t)
in the formula Pg(t) additionally adjusting real-time active power of the regional power grid, and defining the direction of the active power flowing from the power grid side to the load as a positive direction; pRES(t) is the real-time power generation power of the new energy power generation system; pB(t) is the active power absorbed by the energy storage system in real time, and defines the active power flowing to the energy storage system as PB(t) is positive and active power flows out of the energy storage system PB(t) is negative; pL(t) is the new energy load and defines P when the active power flows to the load directionL(t) is positive;
b. the following formula is adopted as the power shortage constraint of the new energy in the regional power grid:
in the formula PRESg(t) is the power shortage of the new energy;
c. the following equation is used as the state-of-charge constraint for the energy storage system:
SOCmin≤SOC(t)≤SOCmax
wherein SOC (t) is the real-time state of charge of the energy storage system, and
0＜t≤24，EBis the capacity of the energy storage system; SOCmaxThe upper limit value of the state of charge of the energy storage system; SOCminThe lower limit value of the state of charge of the energy storage system; meanwhile, the value of SOC (t) at the last moment of the last period of the ith day is required to be the same as the value of SOC (t) at the first moment of the first period of the (i + 1) th day, and the SOC (t) values are all SOC valuesmin；
d. The following formula is adopted as the charge-discharge speed constraint of the energy storage system:
WB≤EBSmax
in the formula WBThe charging and discharging power of the energy storage system; eBIs the capacity of the energy storage system; smaxThe maximum charge-discharge multiplying power of the energy storage system is obtained;
e. the following equation is used as a decision variable constraint:
WRES≤WRESmax
EB≤EBmax
in the formula WRESThe installed capacity of a new energy system in a regional power grid; wRESmaxThe installed capacity of a new energy system in the regional power grid is limited; eBmaxThe capacity upper limit of the energy storage system in the regional power grid.
According to the energy storage system capacity optimal configuration method based on source-load-storage coordination control, the energy storage system capacity optimal configuration of a regional power grid is realized by scientifically setting the rule of system operation and establishing an objective and scientific optimization model, the method can play the role of peak clipping and valley filling of the energy storage system, improve the consumption capacity of new energy, and reduce the influence on a power system due to the randomness, volatility and intermittence of the output of the new energy; the method can effectively improve the reliability of the energy storage system, and has better objectivity and higher scientificity.
Drawings
FIG. 1 is a schematic process flow diagram of the process of the present invention.
Fig. 2 is a schematic view of a typical daily load curve of a regional power grid in accordance with an embodiment of the method of the present invention.
FIG. 3 is a schematic diagram of a system output curve according to an embodiment of the method of the present invention.
Fig. 4 is a schematic diagram of the system output curve for adjusting new energy capacity according to the embodiment of the method of the present invention.
Detailed Description
FIG. 1 is a schematic flow chart of the method of the present invention: the invention provides an energy storage system capacity optimal configuration method based on source-load-storage coordination control, which comprises the following steps:
s1, obtaining operation parameters of a target area power grid;
s2, setting operation rules of a power supply, a load and an energy storage system in a target area power grid; the method specifically comprises the following steps:
A. according to the daily load rule of the target area power grid, dividing 24 hours of a day into the following 6 time periods:
a first valley period: time t6～t1；
The first flat period: time is t1～t2；
First peak period: time is t2～t3；
A second flat period: time t3～t4；
Second peak period: time is t4～t5；
A third period of time: time is t5～t6；
B. And B, setting the following operation rules based on source-load-storage coordination control according to the 6 time periods divided in the step A:
when t is6≤t≤t1Then, this time is the first valley period; in the valley period, the load of the power grid is low, so that the energy storage system is used as the load of the power grid, absorbs redundant energy of the power grid and is used for subsequent energy storage; therefore, the operation rule of the new energy system at this time is as follows: the energy storage system stores energy as much as possible and absorbs energy which is generated by the new energy power generation system and cannot be absorbed by a regional power grid; thus having PB(t)＝PB1(t)+PB2(t) wherein PB(t) is the active power absorbed by the energy storage system in real time, and P is the active power flow direction to the energy storage systemB(t) is positive and active power flows out of the energy storage system PB(t) is negative; p isB1(t) is the first active power; pB2(t) is the second active power; p isB1(t) is calculated as
Wherein WBFor charging and discharging power of the energy storage system, PRES(t) is the real-time generated power, P, of the new energy power generation systemL(t) is the new energy load and defines P when the active power flows to the load directionL(t) is positive, SOC (t) is the real-time state of charge of the energy storage system, SOCmaxThe upper limit value of the state of charge of the energy storage system; p isB2(t) is calculated as
Wherein E1Is t6～t1The electric quantity stored in the energy storage system in a time period and
EBis the capacity of the energy storage system;
when t is1＜t≤t2Then, the time is the first flat time interval; at the ordinary time, the load of the power grid is general (normal), so that the energy storage system mainly has the function of normal operation and is used for adjusting the randomness or the contingency of the new energy power generation system; therefore, the operation rule of the new energy system at this time is as follows: the energy storage system absorbs energy which is generated by the new energy power generation system and cannot be absorbed by a regional power grid; thus is provided with
PB(t) is the active power absorbed by the energy storage system in real time;
when t is2＜t≤t3Then, this is the first peak period; during peak periods, when the grid load is high, the energy storage system should act as a gridThe power supply releases the energy of the power supply to supply power to a power grid; therefore, the operation rule of the new energy system at this time is as follows: the energy storage system outputs energy storage energy as much as possible and is used for meeting the load of a regional power grid; thus is provided with
Active power, SOC, absorbed in real time for energy storage systemsminThe lower limit value of the state of charge of the energy storage system;
when t is3＜t≤t4Then, this time is the second flat period; in the ordinary period, the load of the power grid is general (normal), so the energy storage system should work normally, but because the current period is the peak period, the energy storage system needs to absorb the redundant energy of the power grid as much as possible at the period and is used for subsequent energy storage; therefore, the operation rule of the new energy system at this time is as follows: the energy storage system stores as much energy as possible; thus having PB(t)＝PB'1(t)+PB'3(t) wherein PB(t) is the real-time absorbed active power of the energy storage system, PB'1(t) is the third active power, PB'3(t) is the fourth active power, PB'1(t) is calculated as
PB'3(t) is calculated as
Wherein E2Is t3～t4For the amount of power stored by the energy storage system during the time period and
when t is4＜t≤t5Then, this is the second peak period; in the peak period, the load of the power grid is higher, so that the energy storage system is used as a power supply of the power grid to release the energy of the energy storage system to supply power to the power grid; therefore, the operation rule of the new energy system at this time is as follows: the energy storage system outputs energy storage energy as much as possible for useMeeting the load of a regional power grid; thus is provided with
When t is5＜t≤t6Then, this time is the third period of time; at the ordinary time, the load of the power grid is general (normal), so that the energy storage system is used as a normal load to ensure the normal operation of the regional power grid, and the randomness and the contingency of the new energy system are mainly adjusted; therefore, the operation rule of the new energy system at this time is as follows: ensuring the load power supply of a regional power grid;
s3, setting a target function for capacity optimization configuration of the energy storage system; specifically, the minimum capacity of the energy storage system is taken as a target, and a target function is set to be min EB；EBIs the capacity of the energy storage system;
s4, setting constraint conditions of a capacity optimization configuration objective function of the energy storage system; the method specifically comprises the following steps:
a. the following equation is used as a power balance constraint:
Pg(t)+PRES(t)＝PB(t)+PL(t)
in the formula Pg(t) additionally adjusting real-time active power of the regional power grid, and defining the direction of the active power flowing from the power grid side to the load as a positive direction; pRES(t) is the real-time power generation power of the new energy power generation system; pB(t) is the active power absorbed by the energy storage system in real time, and P is the active power flow direction to the energy storage systemB(t) is positive and active power flows out of the energy storage system PB(t) is negative; pL(t) is the new energy load and defines P when the active power flows to the load directionL(t) is positive;
b. the following formula is adopted as the power shortage constraint of the new energy in the regional power grid:
in the formula PRESg(t) is the power shortage of the new energy source;
c. the following equation is used as the state-of-charge constraint for the energy storage system:
SOCmin≤SOC(t)≤SOCmax
wherein SOC (t) is the real-time state of charge of the energy storage system, and
0＜t≤24，EBis the capacity of the energy storage system; SOCmaxThe upper limit value of the state of charge of the energy storage system; SOCminThe lower limit value of the state of charge of the energy storage system; meanwhile, the value of SOC (t) at the last moment of the last period of the ith day is required to be the same as the value of SOC (t) at the first moment of the first period of the (i + 1) th day, and the SOC (t) values are all SOC valuesmin；
d. The following formula is adopted as the charge-discharge speed constraint of the energy storage system:
WB≤EBSmax
in the formula WBThe charging and discharging power of the energy storage system; eBIs the capacity of the energy storage system; smaxThe maximum charge-discharge multiplying power of the energy storage system is obtained;
e. the following equation is used as a decision variable constraint:
WRES≤WRESmax
EB≤EBmax
in the formula WRESThe installed capacity of a new energy system in the regional power grid is obtained; wRESmaxThe method is characterized by comprising the following steps of (1) setting an upper limit of installed capacity of a new energy system in a regional power grid; eBmaxThe capacity upper limit of the energy storage system in the regional power grid;
s5, under the operation rule set in the step S2 and the constraint condition set in the step S4, solving the objective function set in the step S3;
and S6, completing the capacity optimization configuration of the energy storage system according to the optimization result obtained in the step S5.
The process of the invention is further illustrated below with reference to one example:
taking a local power grid as an example, the installed capacity of the new energy of the local power grid is 300MW, and it is assumed that a typical daily load curve of the local power grid is shown in fig. 2.
According to the daily load rule of the target area power grid, dividing 24 hours of a day into the following 6 time periods:
TABLE 2 time-segment schematic table
| Time period | Time |
| Grain | 23:00-7:00 |
| Flat plate | 7:00-10:00 |
| Peak(s) | 10:00-15:00 |
| Flat plate | 15:00-18:00 |
| Peak(s) | 18:00-21:00 |
| Flat plate | 21:00-23:00 |
And (3) based on the capacity configuration optimization model of the new energy and the energy storage system of the regional power grid, carrying out loop iteration solution on the model according to the objective function and the constraint condition. When the installed capacity of the new energy is 300MW, the power of the energy storage system and the minimum configuration capacity are 30MW and 70MWh respectively. The energy storage proportion of the new energy configuration of the regional power grid is about 23.3%, and the utilization hours of the energy storage system are 2.3 hours. By the proposed control strategy, an output curve of extra regulated power, new energy generated power, stored energy absorption active power and system load power of the regional power grid can be obtained by solving with an MATLAB program, and is shown in FIG. 3. As can be seen, during the off-peak period, the energy storage system charges using the off-peak period, discharges the stored energy during the first peak load period (10 hours to 15 hours), then charges using the second flat rate (15 hours to 18 hours), and discharges the stored energy during the second high load period (18 hours to 21 hours).
Aiming at the capacity configuration problem of an energy storage system in a new energy and energy storage system, the operation rules of a power supply, a load and the energy storage system are provided under the condition of sectional time, under the condition that a conventional unit meets the starting requirement and has adjustable capacity, the operation rules of the power supply, the load and the energy storage system are provided based on the sectional time according to a load curve and a new energy output curve, and under the condition that the power supply and demand balance, the new energy complete consumption and the cost constraint are met, the capacity optimal configuration model of the energy storage system in the new energy high-occupancy ratio system and the operation rules of the power supply, the load and the energy storage system are established by taking the minimum system energy storage configuration capacity as the target. Constraint conditions such as system load characteristics, new energy output characteristics, charging and discharging speeds of the energy storage system, segment time and the like are considered in the model. And combining an actual calculation example, and obtaining the energy storage capacity configuration which enables the objective function to be minimum by utilizing cyclic iteration solution.
As can be seen from the graph of fig. 3, the output change of the new energy, the load characteristic change and the change of the energy storage capacity directly affect the new energy. Therefore, when the load characteristics are kept unchanged and the installed capacity of the new energy of the system is changed, according to the energy storage capacity optimization configuration, the output curve of the extra regulated power, the generated power of the new energy, the absorbed active power of the stored energy and the system load power of the regional power grid can be obtained by using the MATLAB program to solve and is shown in fig. 4 (in the graph, at 10, because the output of the new energy is greater than the load, the output of the new energy of which the capacity can be absorbed at the moment of the stored energy is also obtained).
In fig. 4, when the installed capacity of the new energy is 600MW, the power of the energy storage system and the minimum configuration capacity are 50MW and 150MWh, respectively. The energy storage proportion of the new energy configuration of the regional power grid is about 25.0%, and the utilization hours of the energy storage system are 3.0 hours.
According to the analysis, when the system configuration energy storage proportion is under a certain constraint condition, the coordination control between source charge and storage can be realized through power supply adjustment, new energy output change and energy storage charge and discharge control, and further on the premise of keeping the balance of power and electricity supply and demand, the effects of energy storage peak clipping and valley filling are fully and effectively utilized through reasonable and optimized configuration of the capacity of the energy storage system, the new energy consumption capacity is improved, and the influence of the randomness, the volatility and the intermittence of new energy output on the power balance of the power system is reduced. And the energy storage system has smaller capacity on the premise of enough capacity, so that the cost is lower and the reliability is higher.
Claims (1)
1. A capacity optimization configuration method of an energy storage system based on source-load-storage coordination control comprises the following steps:
s1, obtaining operation parameters of a target area power grid;
s2, setting operation rules of a power supply, a load and an energy storage system in a target area power grid; the method specifically comprises the following steps:
A. according to the daily load rule of the target area power grid, dividing 24 hours of a day into the following 6 time periods:
a first valley period: time t6～t1；
A first flat time period: time is t1～t2；
First peak period: time t2～t3；
A second flat period: time t3～t4；
Second peak period: time t4～t5；
A third period of time: time t5～t6；
B. And B, setting the following operation rules based on source-load-storage coordination control according to the 6 time periods divided in the step A:
when t is6≤t≤t1In the meantime, the operation rule of the new energy system is as follows: the energy storage system stores energy as much as possible and absorbs energy which is generated by the new energy power generation system and cannot be absorbed by a regional power grid; thus having PB(t)＝PB1(t)+PB2(t) wherein PB(t) is the active power absorbed by the energy storage system in real time, and P is the active power flow direction to the energy storage systemB(t) is positive and active power flows out of the energy storage system PB(t) is negative; p isB1(t) is the first active power; pB2(t) is the second active power; pB1(t) is calculated as
Wherein WBFor charging and discharging power of the energy storage system, PRES(t) is the real-time generated power, P, of the new energy power generation systemL(t) is new energy load and defines P when active power flows to the load directionL(t) is positive, SOC (t) is the real-time state of charge of the energy storage system, SOCmaxThe upper limit value of the state of charge of the energy storage system; pB2(t) is calculated as
Wherein E1Is t6～t1The electric quantity stored in the energy storage system in a time period
EBIs the capacity of the energy storage system;
when t is1＜t≤t2In the meantime, the operation rule of the new energy system is as follows: the energy storage system absorbs energy which is generated by the new energy power generation system and cannot be absorbed by a regional power grid; thus is provided with
PB(t) is the active power absorbed by the energy storage system in real time;
when t is2＜t≤t3In the meantime, the operation rule of the new energy system is as follows: energy storage system as far as possibleThe output energy storage energy is used for meeting the load of a regional power grid; thus is provided with
In the formula PB(t) is the active power, SOC, absorbed by the energy storage system in real timeminThe lower limit value of the state of charge of the energy storage system;
when t is3＜t≤t4In the meantime, the operation rule of the new energy system is as follows: the energy storage system stores as much energy as possible; thus having PB(t)＝P'B1(t)+P'B3(t) wherein PB(t) is active power, P 'absorbed by the energy storage system in real time'B1(t) is third active power, P'B3(t) is fourth active power, P'B1(t) is calculated as
P'B3(t) is calculated as
Wherein E2Is t3～t4For the amount of power stored by the energy storage system during the time period and
when t is4＜t≤t5In the meantime, the operation rule of the new energy system is as follows: the energy storage system outputs energy storage energy as much as possible and is used for meeting the load of a regional power grid; thus is provided with
When t is5＜t≤t6In the meantime, the operation rule of the new energy system is as follows: ensuring the load power supply of a regional power grid;
s3, setting a target function for capacity optimization configuration of the energy storage system; specifically, the minimum capacity of the energy storage system is taken as a target, and a target function is set to be min EB；EBBeing an energy storage systemCapacity;
s4, setting constraint conditions of a capacity optimization configuration objective function of the energy storage system; the method specifically comprises the following steps:
a. the following equation is used as a power balance constraint:
Pg(t)+PRES(t)＝PB(t)+PL(t)
in the formula Pg(t) additionally adjusting real-time active power of the regional power grid, and defining the direction of the active power flowing from the power grid side to the load as a positive direction; p isRES(t) is the real-time power generation power of the new energy power generation system; pB(t) is the active power absorbed by the energy storage system in real time, and P is the active power flow direction to the energy storage systemB(t) is positive, active power flows out of the energy storage system then PB(t) is negative; pL(t) is new energy load and defines P when active power flows to the load directionL(t) is positive;
b. the following formula is adopted as the power shortage constraint of the new energy in the regional power grid:
in the formula PRESg(t) is the power shortage of the new energy source;
c. the following equation is used as the state-of-charge constraint for the energy storage system:
SOCmin≤SOC(t)≤SOCmax
wherein SOC (t) is the real-time state of charge of the energy storage system, and
EBis the capacity of the energy storage system; SOCmaxThe upper limit value of the state of charge of the energy storage system; SOCminThe lower limit value of the state of charge of the energy storage system; meanwhile, the value of SOC (t) at the last moment of the last period of the ith day is required to be the same as the value of SOC (t) at the first moment of the first period of the (i + 1) th day, and the SOC (t) values are all SOC valuesmin；
d. The following formula is adopted as the charge-discharge speed constraint of the energy storage system:
WB≤EBSmax
in the formula WBThe charging and discharging power of the energy storage system; eBIs the capacity of the energy storage system; s. themaxThe maximum charge-discharge multiplying power of the energy storage system is obtained;
e. the following equation is used as a decision variable constraint:
WRES≤WRESmax
EB≤EBmax
in the formula WRESThe installed capacity of a new energy system in the regional power grid is obtained; w is a group ofRESmaxThe method is characterized by comprising the following steps of (1) setting an upper limit of installed capacity of a new energy system in a regional power grid; eBmaxThe capacity upper limit of the energy storage system in the regional power grid;
s5, under the operation rule set in the step S2 and the constraint condition set in the step S4, solving the objective function set in the step S3;
and S6, completing the capacity optimization configuration of the energy storage system according to the optimization result obtained in the step S5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111320207.3A CN113872225B (en) | 2021-11-09 | 2021-11-09 | Energy storage system capacity optimal configuration method based on source-load-storage coordination control |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111320207.3A CN113872225B (en) | 2021-11-09 | 2021-11-09 | Energy storage system capacity optimal configuration method based on source-load-storage coordination control |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113872225A CN113872225A (en) | 2021-12-31 |
| CN113872225B true CN113872225B (en) | 2022-06-24 |
Family
ID=78987723
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111320207.3A Active CN113872225B (en) | 2021-11-09 | 2021-11-09 | Energy storage system capacity optimal configuration method based on source-load-storage coordination control |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113872225B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116706951B (en) * | 2023-06-08 | 2024-05-14 | 国网湖南省电力有限公司 | Substation energy storage capacity configuration method and system based on load characteristics |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2744118A1 (en) * | 2010-07-09 | 2012-01-09 | Emerson Process Management Power & Water Solutions, Inc. | Optimization system using an iterative expert engine |
| CN110661246A (en) * | 2019-10-15 | 2020-01-07 | 北方国际合作股份有限公司 | Capacity optimization configuration method for urban rail transit photovoltaic energy storage system |
| CN111355270A (en) * | 2020-03-31 | 2020-06-30 | 国网浙江省电力有限公司电力科学研究院 | Island micro-grid group capacity optimization configuration method |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108599206B (en) * | 2018-04-28 | 2021-06-01 | 国网湖南省电力有限公司 | Power distribution network hybrid energy storage configuration method under high-proportion uncertain power supply scene |
| US11183840B2 (en) * | 2019-06-21 | 2021-11-23 | Hitachi, Ltd. | Multi-time scale energy storage management framework for performance-based frequency regulation (FR) market |
| CN111952966A (en) * | 2019-12-11 | 2020-11-17 | 国网辽宁省电力有限公司经济技术研究院 | Source load storage system staged coordination optimization method considering wind power consumption capacity |
-
2021
- 2021-11-09 CN CN202111320207.3A patent/CN113872225B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2744118A1 (en) * | 2010-07-09 | 2012-01-09 | Emerson Process Management Power & Water Solutions, Inc. | Optimization system using an iterative expert engine |
| CN110661246A (en) * | 2019-10-15 | 2020-01-07 | 北方国际合作股份有限公司 | Capacity optimization configuration method for urban rail transit photovoltaic energy storage system |
| CN111355270A (en) * | 2020-03-31 | 2020-06-30 | 国网浙江省电力有限公司电力科学研究院 | Island micro-grid group capacity optimization configuration method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113872225A (en) | 2021-12-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2023065113A1 (en) | Flexibility demand quantification and coordination optimization method for wind-solar-water multi-energy complementary system | |
| CN105207242B (en) | Energy storage device participates in optimal control and the capacity planning system and method for unit frequency modulation | |
| CN103296682B (en) | A kind of multiple space and time scales progressive become excellent load scheduling Model Design method | |
| CN108092324B (en) | AGC control system and control method for wind power participating in peak shaving frequency modulation | |
| CN105140936B (en) | A kind of micro-capacitance sensor frequency modulation control method for minimizing cost of electricity-generating | |
| CN109245183A (en) | A kind of honourable permeability area power grid peak regulating method of height based on load control system | |
| CN106992556A (en) | Optimal scheduling method based on hybrid power supply multi-time scale complementation | |
| CN114429274B (en) | Virtual power plant adjustment capability assessment method and system based on multiple resource aggregation | |
| CN110829408B (en) | Multi-domain scheduling method considering energy storage power system based on power generation cost constraint | |
| CN110867873A (en) | Frequency control method for ocean island microgrid | |
| CN105896617B (en) | It is a kind of meter and the active active control of wind turbine wind-powered electricity generation adjust spare capacity appraisal procedure | |
| CN107769234B (en) | Frequency modulation capability evaluation method of multi-point energy storage coordination distributed power supply | |
| WO2023197713A1 (en) | Two-stage demand response strategy for improving resilience of power distribution network | |
| CN113872225B (en) | Energy storage system capacity optimal configuration method based on source-load-storage coordination control | |
| CN114567002A (en) | Energy storage double-fed wind generating set and synchronous generator cooperative frequency modulation control method | |
| CN116207748A (en) | Regulation and control system for large-scale flexible load resources | |
| CN113937796A (en) | Multi-time scale optimization method for wind, light, storage and storage combined system | |
| CN117293812A (en) | Power system scheduling method considering wind power forward/backward peak regulation scene | |
| CN116054214A (en) | Household photovoltaic energy storage system based on intelligent regulation and control | |
| CN116562554A (en) | Long-short-period energy storage joint planning method considering flexible supply-demand balance | |
| CN110707745A (en) | Multi-time scale economic dispatching method of electric heating integrated system based on improved VMD | |
| CN115659666A (en) | Virtual power plant wind-solar combined optimization scheduling method considering comprehensive demand response | |
| CN115642620A (en) | Double-layer optimization method for energy storage participation low-carbon flexible peak regulation | |
| CN115293495A (en) | Scheduling instruction decomposition method based on dynamic participation factor and energy controller | |
| CN110311395B (en) | Heat and electricity storage hybrid energy storage coordination control method considering wind curtailment characteristics |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |