CN114744638A - Power system adjustable load capacity optimization method based on new energy consumption - Google Patents

Power system adjustable load capacity optimization method based on new energy consumption Download PDF

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CN114744638A
CN114744638A CN202210539818.5A CN202210539818A CN114744638A CN 114744638 A CN114744638 A CN 114744638A CN 202210539818 A CN202210539818 A CN 202210539818A CN 114744638 A CN114744638 A CN 114744638A
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power
new energy
time
adjustable load
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谢宇峥
周雨桦
蒋诗谣
李梦骄
张睿琪
张谜
苏筱凡
涂婧怡
肖帅
龙爱国
谢国恒
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State Grid Corp of China SGCC
State Grid Hunan Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Hunan Electric Power Co Ltd
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State Grid Corp of China SGCC
State Grid Hunan Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Hunan Electric Power Co Ltd
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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
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • H02J3/144—Demand-response operation of the power transmission or distribution network
    • G—PHYSICS
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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
    • 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
    • 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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar energy
    • H02J2300/24—The renewable source being solar energy of photovoltaic origin
    • 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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/28—The renewable source being wind energy
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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    • H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
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    • H02J2310/60—Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving
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    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
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Abstract

The invention discloses an electric power system adjustable load capacity optimization method based on new energy consumption, which comprises the steps of obtaining operation data of an electric power system to be analyzed; on the premise that the electric quantity of the new energy abandoned meets the set requirement, an objective function is constructed by taking the minimum adjustable load capacity as a target; constructing constraint conditions of an objective function by taking an operation rule of the power system as constraint; and solving the objective function by adopting a linear interpolation method and combining a perturbation method to obtain a final adjustable load capacity optimization result of the power system. The method takes the electric quantity of the new energy abandoned as a constraint condition, considers an energy storage system operation strategy dominated by the time-of-use electricity price, and solves the minimum value of the adjustable load capacity required to be configured by the system; therefore, the method provided by the invention not only improves the consumption capacity of the new energy and effectively reduces the electric quantity of the new energy, but also has the advantages of high reliability, good accuracy and objective science.

Description

Power system adjustable load capacity optimization method based on new energy consumption
Technical Field
The invention belongs to the field of electrical automation, and particularly relates to an adjustable load capacity optimization method of an electric power system based on new energy consumption.
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.
In recent years, with the large-scale incorporation of renewable energy into a power grid, the power grid has the problems of large peak-to-valley difference rate, new energy consumption and the like, and in addition, the characteristics of randomness, volatility and intermittence of the new energy are obvious, so that the problems of power grid operation and new energy consumption are obvious.
The randomness and the volatility of new energy such as wind power, photovoltaic and the like are stronger, the safe operation of a power system is kept, and the requirements on flexible resources such as supporting power grid peak regulation, voltage regulation, frequency regulation and the like are higher. With the gradual reduction of the proportion of the traditional thermal power generating unit, the traditional power grid is in the dilemma of insufficient flexibility and resources depending on the control mode of the thermal power generating unit for adjustment. Currently, there are changes in synchronization with power supply side power electronics features, as well as changes in user side energy usage configurations. There will be a large amount of controllable load on the electricity side at present and in the future. The method has the advantages that the flexible and adjustable load participates in the adjustment of the power grid to support the safe and stable operation of the power grid, and the method is an effective mode for the adjustable load on the user side to participate in the adjustment of the power grid; meanwhile, the consumption level of new energy can be improved.
However, currently, no calculation research is performed on the adjustable load capacity of the user side, which undoubtedly severely restricts the participation of the adjustable load of the user side in the power grid adjustment process.
Disclosure of Invention
The invention aims to provide a power system adjustable load capacity optimization method based on new energy consumption, which is high in reliability, good in accuracy, objective and scientific.
The invention provides an adjustable load capacity optimization method of a power system based on new energy consumption, which comprises the following steps:
s1, acquiring operation data of a power system to be analyzed;
s2, on the premise that the electric quantity of the new energy abandoned meets the set requirement, constructing a target function by taking the minimum adjustable load capacity as a target;
s3, constructing a constraint condition of the objective function by taking the operation rule of the power system as a constraint;
and S4, solving the objective function constructed in the step S2 by adopting a linear interpolation method and combining a perturbation method under the constraint condition obtained in the step S3 to obtain a final optimization result of the adjustable load capacity of the power system.
On the premise that the new energy power curtailment meets the set requirement, the step S2 is to construct an objective function with the minimum adjustable load capacity as a target, and specifically includes the following steps:
the following equation is used as the objective function:
min F＝Pad.load
wherein F is the value of the objective function; pad.loadTo adjust the load capacity.
The step S3 of constructing the constraint condition of the objective function with the operation rule of the power system as a constraint specifically includes the following steps:
A. the working conditions of the power system to be analyzed are the unit starting combination in a small load mode in a rich period and the minimum output constraint condition of a conventional power supply unit;
B. the following equation is used as a power balance constraint:
Pab(t)+PRES(t)+Pthermal(t)+Phydro(t)+Pline(t)＝PB(t)+PL(t)+Pad.load(t)
in the formula Pab(t) additional regulated power at time t, and Pab(t) > 0 indicates that the power system to be analyzed requires additional regulated power, Pab(t) < 0 represents the electric power abandoned from the new energy of the electric power system to be analyzed; pRES(t) is the generated power of the new energy at the moment t, and the direction of the active power flowing out from the new energy during power generation is defined as a positive direction; pthermal(t) the generated power of the thermal power generating unit at the moment t, and the direction of the active power flowing out from the generating set is specified as the positive direction; phydro(t) the generating power of the hydroelectric generating set at the moment t, and the direction of the active power flowing out from the generating set is specified as the positive direction; pline(t) is the intersection of the junctor at time tChanging power, and setting the positive direction that active power flows into the power system to be analyzed; p isB(t) the active power absorbed by the energy storage system at the moment t, and the direction of the active power flowing to the energy storage system is specified as a positive direction; pL(t) the system load of the power system to be analyzed at the moment t, and the direction of the active power flowing to the load is specified to be a positive direction; pad.load(t) the active power of the adjustable load at the moment t is regulated, and the direction of the active power flowing to the load is specified to be a positive direction;
C. the following equation is used as the energy storage charge state constraint:
SOCmin≤SOC(t)≤SOCmax
in the formula SOCminThe lower limit value of the state of charge of the energy storage system; SOC (t) is a state of charge value of the energy storage system at t moment; SOCmaxThe upper limit value of the state of charge of the energy storage system;
D. setting a peak-to-flat-to-valley period of the power system to be analyzed:
in the 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；
In the formula, time point t1～t6A time point set according to a load state of the power system to be analyzed;
E. the following formula is adopted as the charge-discharge speed constraint of the energy storage system:
WB≤EBSmax
in the formula WBCharging and discharging power for 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;
F. the following equation is used as the constraint on energy storage capacity:
EB≤ηWRES
wherein eta is the ratio of the capacity of the energy storage system to the installed capacity of the new energy; w is a group ofRESInstalling capacity for new energy;
G. the following formula is adopted as the electricity abandonment constraint:
ΔP≤ΔPN
in the formula,. DELTA.PNThe maximum allowable electricity abandonment amount of the power system to be analyzed; delta P is the new energy power curtailment of the power system to be analyzed, and
Figure BDA0003647716500000041
Pab(t) additional regulated power for time t and Pab(t)＜0。
Calculating the adjusting power P of the adjustable load of the power system to be analyzed in one day by adopting the following formulaad：
Pad＝XαPad.load
Wherein X is a state sequence whether each load participates in regulation within 24 hours a day, and X ═ X1,x2,x3,……,x22,x23,x24]，xiFor the ith time, the indicator variables of the load participating in the load regulation can be adjusted, and x i0 means that the adjustable load at the ith time does not participate in the load adjustment, x i1 denotes the i-th time instant adjustable load participating in the load adjustment, i 1, 2., 24; alpha is a proportional sequence which can regulate the load participation within 24 hours a day, and alpha is ═ alpha1,α2,α3,……,α22,α23,α24]T，αiThe proportion of the load involved in the regulation can be adjusted for the ith time, and alphaiE (a, b), a is the lower limit of the regulation ratio, b is the upper limit of the regulation ratio, and alphaiFor positive numbers indicating increasing load, αiNegative numbers indicate reduced load.
Calculating the generated power P of the thermal power generating unit at the time t by adopting the following formulathermal(t) and generating power P of hydroelectric generating set at t momenthydro(t) and Pcon.total(t)：
Pcon.total(t)＝Pthermal(t)+Phydro(t)＝λ1Ptotal.thermal(t)+λ2Ptotal.hdro(t)
In the formula Ptotal.thermal(t) is the maximum active power of the thermoelectric generator set in the starting combination; ptotal.hdro(t) is the maximum active power of the hydroelectric generating set in the starting combination; lambda [ alpha ]1The minimum output coefficient is the minimum output coefficient of the thermal power generating unit; lambda [ alpha ]2The minimum output coefficient of the hydroelectric generating set.
Calculating the exchange power P of the tie line at the time t by adopting the following formulaline(t)：
Pline(t)＝Pplan(t)
In the formula PplanAnd (t) is a tie line power plan value.
The step S4 of solving the objective function constructed in the step S2 under the constraint condition obtained in the step S3 by using a linear interpolation method in combination with a perturbation method to obtain a final adjustable load capacity optimization result of the power system specifically includes the following steps:
the system adjustable load P is obtained by adopting a linear difference method to calculate when the difference eta between the actual electricity abandonment amount and the allowable electricity abandonment amount is 0ad.load.3Is composed of
Figure BDA0003647716500000051
In the formula Pad.load.1For the first initial value, P, of the adjustable load of the system obtained by solving using a linear difference methodad.load.2For solving a second initial value, eta, of the adjustable load of the system obtained by a linear difference method1Solving by adopting a linear difference method to obtain the difference value eta of the actual electricity abandonment amount and the allowable electricity abandonment amount corresponding to the first initial value of the adjustable load of the system2Solving by adopting a linear difference method to obtain a difference value of an actual electricity abandonment amount and an allowable electricity abandonment amount corresponding to the second initial value of the adjustable load of the system;
in the process of calculating by adopting a linear difference method, when the eta value is in a set range, solving by adopting a numerical perturbation method on the basis of solving by the linear difference method to obtain the system adjustable load when the eta value is 0;
the system adjustable load change tau is obtained by calculation according to the following formulaISensitivity a of time η variationI：
Figure BDA0003647716500000061
In the formula tauIThe amount of change in load can be adjusted for the system; eta (P)ad.load,τI) The load capacity of the system can be adjusted at Pad.loadIncrease the variation tau on the basis ofIThe difference value of the actual electric quantity discarded and the allowable electric quantity discarded is obtained; eta (P)ad.load) The system can be adjusted to have a load Pad.loadThe difference value of the actual electricity abandonment amount and the allowable electricity abandonment amount is obtained;
according to the obtained sensitivity aIThe equation is used to calculate the equation eta (P)ad.load) The system with 0 can adjust the load variation:
η(Pad.load (I+1))＝η(Pad.load (I))+aIΔp
in the formula eta (P)ad.load (I)) The adjustable load capacity in the I-th calculation; Δ P is the I +1 th calculation solution time η (P)ad.load (I+1)) The system when 0 can adjust the load;
the system adjustable load P obtained by solving for two adjacent timesad.loadWhen the difference value between the two is within the set range, the adjustable load P of the system obtained by the last calculation is determinedad.loadThe load capacity optimization results may be adjusted for the final power system.
The method for optimizing the adjustable load capacity of the power system based on new energy consumption, provided by the invention, takes the electric quantity of abandoned new energy as a constraint condition, considers an energy storage system operation strategy dominated by the time-of-use electricity price, and solves the minimum value of the adjustable load capacity required to be configured by the system; therefore, the method provided by the invention not only improves the consumption capacity of the new energy and effectively reduces the electric quantity of the new energy, but also has the advantages of high reliability, good accuracy and objective science.
Drawings
FIG. 1 is a schematic flow chart of the method of the present invention.
Fig. 2 is a schematic diagram of an equivalent load curve after the system withstands the power of the conventional power supply and the tie line according to the embodiment of the invention.
FIG. 3 is a schematic diagram of a system output curve according to an embodiment of the present invention.
FIG. 4 is a graph illustrating the system output curve of the present invention after considering the adjustable load.
Detailed Description
FIG. 1 is a schematic flow chart of the method of the present invention: the invention provides an adjustable load capacity optimization method of a power system based on new energy consumption, which comprises the following steps:
s1, acquiring operation data of a power system to be analyzed;
s2, on the premise that the electric quantity of the new energy abandoned meets the set requirement, constructing a target function by taking the minimum adjustable load capacity as a target; the method specifically comprises the following steps:
the following equation is used as the objective function:
min F＝Pad.load
wherein F is the value of the objective function; p isad.loadIs adjustable load capacity;
s3, constructing a constraint condition of the objective function by taking the operation rule of the power system as a constraint; the method specifically comprises the following steps:
A. the working conditions of the power system to be analyzed are the unit starting combination and the minimum output constraint condition of the conventional power supply unit in a small load mode in a rich water period;
B. the following equation is used as a power balance constraint:
Pab(t)+PRES(t)+Pthermal(t)+Phydro(t)+Pline(t)＝PB(t)+PL(t)+Pad.load(t)
in the formula Pab(t) additional regulated power at time t, and Pab(t) > 0 indicates that the power system to be analyzed requires additional regulated power, Pab(t) < 0 represents the electric power abandoned from the new energy of the electric power system to be analyzed; pRES(t) is the generated power of the new energy at the moment t, and the direction of the active power flowing out from the new energy during power generation is defined as a positive direction; pthermal(t) the generated power of the thermal power generating unit at the moment t, and the direction of the active power flowing out from the generating set is defined as the positive direction; p ishydro(t) is the generating power of the hydroelectric generating set at the moment t, and the direction of the active power flowing out from the generating set is defined as the positive direction; pline(t) the exchange power of the tie line at the moment t, and the positive direction of the active power flowing into the power system to be analyzed is specified; pB(t) the active power absorbed by the energy storage system at the moment t, and the direction of the active power flowing to the energy storage system is specified to be a positive direction; pL(t) is the system load of the power system to be analyzed at the time t, and the direction of the active power flowing to the load is specified to be a positive direction; pad.load(t) the active power of the adjustable load at the moment t is regulated, and the direction of the active power flowing to the load is specified to be a positive direction;
in specific implementation, different startup unit combinations exist in a conventional power supply in the system under different operation modes, a startup plan is made according to load conditions under normal conditions, and the startup plan cannot be adjusted greatly in a short time; because the lower limit of the output of the conventional power supply has an important influence on the consumption of new energy, a more serious scene is considered when a starting unit is selected, namely, a unit with higher rated power is preferentially selected from the selectable units for calculation; therefore, the generated power P of the thermal power generating unit at the time t is calculated by adopting the following formulathermal(t) and generating power P of hydroelectric generating set at time thydro(t) and Pcon.total(t)：
Pcon.total(t)＝Pthermal(t)+Phydro(t)＝λ1Ptotal.thermal(t)+λ2Ptotal.hdro(t)
In the formula Ptotal.thermal(t) is the maximum active power of the thermoelectric generator set in the starting combination; ptotal.hdro(t) is the maximum active power of the hydroelectric generating set in the starting combination; lambda [ alpha ]1The minimum output coefficient is the minimum output coefficient of the thermal power generating unit; lambda [ alpha ]2The minimum output coefficient of the hydroelectric generating set;
calculating the exchange power P of the tie line at the time t by adopting the following formulaline(t)：
Pline(t)＝Pplan(t)
In the formula Pplan(t) is the tie line power plan value, which can be considered a known quantity;
C. the following equation is used as the energy storage charge state constraint:
SOCmin≤SOC(t)≤SOCmax
in the formula SOCminThe lower limit value of the state of charge of the energy storage system; SOC (t) is a state of charge value of the energy storage system at the time t; SOCmaxThe upper limit value of the state of charge of the energy storage system; at the same time, it should be guaranteed that there is SOC (0) SOC (24) SOC per cyclemin；
D. Setting a peak-to-flat-to-valley period of the power system to be analyzed:
in the valley period: time t6～t1；
A first flat time period: time 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；
In the formula, time point t1～t6A time point set according to a load state of the power system to be analyzed;
E. the following formula is adopted as the charge-discharge speed constraint of the energy storage system:
WB≤EBSmax
in the formula WBCharging and discharging power for 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;
F. the following equation is used as the constraint for energy storage capacity:
EB≤ηWRES
wherein eta is the ratio of the capacity of the energy storage system to the installed capacity of the new energy; wRESInstalling capacity for new energy;
G. the following formula is adopted as the electricity abandonment constraint:
ΔP≤ΔPN
in the formula,. DELTA.PNThe maximum allowable electricity abandonment amount of the power system to be analyzed; delta P is the new energy power curtailment of the power system to be analyzed, and
Figure BDA0003647716500000091
Pab(t) additional regulated power for time t and Pab(t)＜0；
In addition, the adjustment power P of the adjustable load of the power system to be analyzed in one day is calculated by the following formulaad：
Pad＝XαPad.load
Wherein X is a state sequence whether each load participates in regulation within 24 hours a day, and X ═ X1,x2,x3,……,x22,x23,x24]，xiFor the ith time, the indicator variables of the load participating in the load regulation can be adjusted, and xi0 means that the adjustable load at the ith time does not participate in the load adjustment, xi1 denotes the i-th time instant adjustable load participating in the load adjustment, i 1, 2., 24; alpha is a proportional sequence which can regulate the load participation in regulation within 24 hours a day, and alpha is [ alpha ═ alpha [ [ alpha ]1,α2,α3,……,α22,α23,α24]T，αiThe proportion of the load involved in the regulation can be adjusted for the ith time, and alphaiE (a, b), a is the lower limit of the regulation ratio, b is the upper limit of the regulation ratio, and alphaiIs positive number indicating increasing load, αiNegative numbers indicate reduced load;
s4, solving the objective function constructed in the step S2 by adopting a linear interpolation method and combining a perturbation method under the constraint condition obtained in the step S3 to obtain a final optimization result of the adjustable load capacity of the power system; the method specifically comprises the following steps:
the system adjustable load quantity P is obtained by adopting a linear difference method to calculate when the difference eta between the actual electricity abandonment quantity and the allowable electricity abandonment quantity is 0ad.load.3Is composed of
Figure BDA0003647716500000101
In the formula Pad.load.1For solving the first initial value, P, of the adjustable load of the system obtained by using a linear difference methodad.load.2For solving a second initial value, eta, of the adjustable load of the system obtained by a linear difference method1Solving by adopting a linear difference method to obtain the difference value eta of the actual electricity abandonment amount and the allowable electricity abandonment amount corresponding to the first initial value of the adjustable load of the system2Solving by adopting a linear difference method to obtain the difference value of the actual electric quantity discarded and the allowable electric quantity discarded corresponding to the second initial value of the adjustable load capacity of the system;
in the process of calculating by adopting a linear difference method, when the eta value is in a set range, solving by adopting a numerical perturbation method on the basis of solving by the linear difference method to obtain the system adjustable load when the eta value is 0;
the adjustable load change tau of the system is obtained by adopting the following formulaISensitivity a of time η variationI：
Figure BDA0003647716500000102
In the formula tauIThe amount of change in load can be adjusted for the system; eta (P)ad.load,τI) The load capacity of the system can be adjusted at Pad.loadIncrease the variation tau on the basis ofIThe difference value of the actual electric quantity discarded and the allowable electric quantity discarded is obtained; eta (P)ad.load) The system can be adjusted to have a load Pad.loadThe difference value of the actual electricity abandonment amount and the allowable electricity abandonment amount is obtained;
according to the obtained sensitivity aIThe equation is used to calculate the equation eta (P)ad.load) The system with 0 can adjust the load change:
η(Pad.load (I+1))＝η(Pad.load (I))+aIΔp
in the formula eta (P)ad.load (I)) The adjustable load capacity is calculated for the I time; Δ P is the I +1 th calculation solution time η (P)ad.load (I+1)) The system when 0 can adjust the load amount;
the system adjustable load P obtained by solving for two adjacent timesad.loadWhen the difference value between the two is within the set range, the adjustable load P of the system obtained by the last calculation is determinedad.loadThe load capacity optimization results may be adjusted for the final power system.
In addition, when the system is implemented, the generated electric quantity of the new energy is preferentially used for regional consumption, and the surplus electric quantity is stored in the energy storage system and is used for power grid peak shaving during the peak period of power utilization. If the energy storage battery is fully charged during the peak period of electricity utilization, the redundant electricity generation amount of the new energy can not be completely consumed, and the new energy will abandon the electricity. In order to fully utilize the charging and discharging times of the energy storage system, the rest of electric quantity required by the peak shaving of the power grid in the first power utilization peak period is provided by the energy storage of the energy storage system in the power utilization valley period; the rest of the electric quantity required by the peak shaving of the power grid during the second power consumption peak period is provided by the energy storage system during the second power consumption level period.
The process of the invention is further illustrated below with reference to a specific example:
taking a certain regional power grid as an example, the installed capacity of the new energy of the regional power grid is 800MW, wherein wind power is 500MW, and photovoltaic is 300 MW. The equivalent load curve after the regional power grid withstands the conventional power supply minimum output and the tie line power is assumed to be shown in fig. 2. According to the common condition, 15% of wind power is configured, 5% of photovoltaic is configured, and the number of utilization hours of the energy storage system with the system energy storage power and the minimum configuration capacity of 90MW/180MWh is 2.0 hours.
The time period of the grid is shown in table 1:
TABLE 1 time-interval schematic diagram of power grid
Time period Time Duration (hours)
Grain 23:00-7:00 8
Flat plate 7:00-10:00 3
Peak(s) 10:00-15:00 5
Flat plate 15:00-18:00 3
Peak(s) 18:00-21:00 3
Flat plate 21:00-23:00 2
Under the condition that the adjustable load is not considered, through the proposed control strategy, the output curves of the extra adjustment power, the new energy power generation power, the energy storage absorption active power and the equivalent system load power of the regional power grid can be obtained by program iteration solution and are shown in fig. 3. As can be seen, during the low-peak period of power consumption, the energy storage system is charged with surplus power, discharging the stored energy during the first peak load period, and then charged with the second usage level period, discharging the stored energy during the second high load period. When the extra adjusting power is less than 0, the conventional power supply reaches the lower output limit and no longer has the output reducing capability, so that electricity can be abandoned. When the extra regulated power is greater than 0, it can be considered that the conventional power supply increases the output to meet the system power demand when the system active power is insufficient. From the following graph, the power curtailment of the system under given conditions was calculated to be 234.66MWh in 24 hours a day.
When the time intervals of the power grid are considered, the system can adjust the load to participate in adjustment. The maximum electric quantity of the new energy is assumed to be 120 MWh. Assuming that the proportional parameter a is-0.3 and b is 0.3, the system output curve after considering the adjustable load participation adjustment is shown in fig. 4 below.
X＝[1,1,1,1,1,0,0,0,0,0,0,0,0,1,1,0,0,0,1,1,1,0,0,1]
α＝[0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.1,0.1,0.2,0.2,0.2,0.2,0.2,0.2,0,0,0,-0.3,-0.3,-0.3,-0.1,-0.1,0.3]T
The minimum value of the adjustable load at this time can be obtained by program simulation and the output curve of the system is shown in fig. 4. At the moment, the electric quantity of the new energy is 119.6MWh, and the constraint condition of the electric quantity of the new energy is met.
According to the analysis, when the system is configured with a certain energy storage proportion, the coordinated operation between the source load and the energy storage can be realized through power supply regulation, load regulation and energy storage charging and discharging control. On the premise of keeping the balance of the supply and demand of the electric power and the electric quantity abandoned by the new energy within the allowable range, the new energy consumption capacity is fully and effectively improved and the electric quantity abandoned by the new energy is effectively reduced through reasonable and optimized configuration of adjustable load.

Claims (7)

1. A method for optimizing the adjustable load capacity of an electric power system based on new energy consumption comprises the following steps:
s1, acquiring operation data of a power system to be analyzed;
s2, on the premise that the electric quantity of the new energy abandoned meets the set requirement, constructing a target function by taking the minimum adjustable load capacity as a target;
s3, constructing a constraint condition of the objective function by taking the operation rule of the power system as a constraint;
and S4, solving the objective function constructed in the step S2 by adopting a linear interpolation method and combining a perturbation method under the constraint condition obtained in the step S3 to obtain a final optimization result of the adjustable load capacity of the power system.
2. The method according to claim 1, wherein the step S2 is performed to construct an objective function with the minimum adjustable load capacity as a target on the premise that the amount of electricity discarded by the new energy source meets the set requirement, and specifically includes the following steps:
the following equation is used as the objective function:
min F＝Pad.load
wherein F is the value of the objective function; pad.loadTo adjust the load capacity.
3. The method according to claim 2, wherein the step S3 of constructing the constraint condition of the objective function using the operation rule of the power system as a constraint specifically includes the following steps:
A. the working conditions of the power system to be analyzed are the unit starting combination in a small load mode in a rich period and the minimum output constraint condition of a conventional power supply unit;
B. the following equation is used as a power balance constraint:
Pab(t)+PRES(t)+Pthermal(t)+Phydro(t)+Pline(t)＝PB(t)+PL(t)+Pad.load(t)
in the formula Pab(t) additional regulated power at time t, and Pab(t) > 0 representsThe power system to be analyzed requires an additional regulated power, Pab(t) < 0 represents the electric power abandoned from the new energy of the electric power system to be analyzed; pRES(t) is the generated power of the new energy at the moment t, and the direction of the active power flowing out from the new energy during power generation is defined as a positive direction; p isthermal(t) the generated power of the thermal power generating unit at the moment t, and the direction of the active power flowing out from the generating set is specified as the positive direction; p ishydro(t) is the generating power of the hydroelectric generating set at the moment t, and the direction of the active power flowing out from the generating set is defined as the positive direction; pline(t) the exchange power of the tie line at the moment t, and the positive direction of the active power flowing into the power system to be analyzed is specified; p isB(t) the active power absorbed by the energy storage system at the moment t, and the direction of the active power flowing to the energy storage system is specified as a positive direction; p isL(t) is the system load of the power system to be analyzed at the time t, and the direction of the active power flowing to the load is specified to be a positive direction; pad.load(t) the active power of the adjustable load at the moment t is regulated, and the direction of the active power flowing to the load is specified to be a positive direction;
C. the following equation is used as the energy storage state of charge constraint:
SOCmin≤SOC(t)≤SOCmax
SOC in the formulaminThe lower limit value of the state of charge of the energy storage system; SOC (t) is a state of charge value of the energy storage system at t moment; SOCmaxThe upper limit value of the state of charge of the energy storage system;
D. setting a peak-to-flat-to-valley period of the power system to be analyzed:
in the 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 t3～t4；
Second peak period: time t4～t5；
A third period of time: time t5～t6；
In the formula, time point t1～t6A time point set according to a load state of the power system to be analyzed;
E. the following formula is adopted as the charge-discharge speed constraint of the energy storage system:
WB≤EBSmax
in the formula WBCharging and discharging power for 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;
F. the following equation is used as the constraint on energy storage capacity:
EB≤ηWRES
wherein eta is the ratio of the capacity of the energy storage system to the installed capacity of the new energy; w is a group ofRESInstalling capacity for new energy;
G. the following formula is adopted as the electricity abandonment constraint:
ΔP≤ΔPN
in the formula,. DELTA.PNThe maximum allowable electricity abandonment amount of the power system to be analyzed; delta P is the new energy power curtailment of the power system to be analyzed, and
Figure FDA0003647716490000031
Pab(t) additional regulated power for time t and Pab(t)＜0。
4. The method for optimizing the adjustable load capacity of the power system based on new energy consumption according to claim 3, wherein the adjustment power P of the adjustable load of the power system to be analyzed in one day is calculated by the following formulaad：
Pad＝XαPad.load
Wherein X is a state sequence whether each load participates in regulation within 24 hours a day, and X ═ X1,x2,x3,……,x22,x23,x24]，xiFor the moment i, an indicator variable of the load participating in the load regulation can be adjusted, and xi0 means that the adjustable load is not at the i-th timeParticipating in load regulation, xi1 denotes the i-th time instant adjustable load participating in the load adjustment, i 1, 2., 24; alpha is a proportional sequence which can regulate the load participation within 24 hours a day, and alpha is ═ alpha1,α2,α3,……,α22,α23,α24]T，αiThe proportion of the load involved in the regulation can be adjusted for the ith time, and alphaiE (a, b), a is the lower limit value of the regulation ratio, b is the upper limit value of the regulation ratio, and alphaiFor positive numbers indicating increasing load, αiNegative numbers indicate reduced load.
5. The new energy consumption-based power system adjustable load capacity optimization method according to claim 4, characterized in that the generated power P of the thermal power generating unit at the time t is calculated by adopting the following formulathermal(t) and generating power P of hydroelectric generating set at time thydro(t) and Pcon.total(t)：
Pcon.total(t)＝Pthermal(t)+Phydro(t)＝λ1Ptotal.thermal(t)+λ2Ptotal.hdro(t)
In the formula Ptotal.thermal(t) is the maximum active power of the thermoelectric generator set in the starting combination; p istotal.hdro(t) is the maximum active power of the hydro-electric machine set in the starting combination; lambda1The minimum output coefficient is the minimum output coefficient of the thermal power generating unit; lambda [ alpha ]2The minimum output coefficient of the hydroelectric generating set.
6. The method of optimizing the adjustable load capacity of the electric power system based on new energy consumption of claim 5, wherein the exchange power P of the tie line at the time t is calculated by the following equationline(t)：
Pline(t)＝Pplan(t)
In the formula Pplan(t) is the tie-line power plan value.
7. The method according to claim 6, wherein the step S4 of solving the objective function constructed in the step S2 under the constraint condition obtained in the step S3 by using a linear interpolation method in combination with a perturbation method to obtain a final optimization result of the adjustable load capacity of the power system, the method specifically comprises the following steps:
the system adjustable load P is obtained by adopting a linear difference method to calculate when the difference eta between the actual electricity abandonment amount and the allowable electricity abandonment amount is 0ad.load.3Is composed of
Figure FDA0003647716490000041
In the formula Pad.load.1For solving the first initial value, P, of the adjustable load of the system obtained by using a linear difference methodad.load.2For solving a second initial value, eta, of the adjustable load of the system obtained by a linear difference method1Solving by adopting a linear difference method to obtain the difference value eta of the actual electricity abandonment amount and the allowable electricity abandonment amount corresponding to the first initial value of the adjustable load of the system2Solving by adopting a linear difference method to obtain the difference value of the actual electric quantity discarded and the allowable electric quantity discarded corresponding to the second initial value of the adjustable load capacity of the system;
in the process of calculating by adopting a linear difference method, when the eta value is in a set range, solving to obtain the system load when eta is 0 by adopting a numerical perturbation method on the basis of solving by the linear difference method;
the system adjustable load change tau is obtained by calculation according to the following formulaISensitivity of time eta variation aI：
Figure FDA0003647716490000051
In the formula tauIThe amount of change in load can be adjusted for the system; eta (P)ad.load,τI) The load capacity of the system can be adjusted at Pad.loadIncrease the variation tau on the basis ofIThe difference value of the actual electricity abandonment amount and the allowable electricity abandonment amount is obtained; eta (P)ad.load) The system can be adjusted to have a load Pad.loadThe difference value of the actual electricity abandonment amount and the allowable electricity abandonment amount is obtained;
according to the obtained sensitivity aIThe equation is used to calculate the equation eta (P)ad.load) The system with 0 can adjust the load variation:
η(Pad.load (I+1))＝η(Pad.load (I))+aIΔp
in the formula eta (P)ad.load (I)) The adjustable load capacity in the I-th calculation; Δ P is the equation eta (P) of the calculation solution of the I +1 st timead.load (I+1)) The system when 0 can adjust the load;
the system adjustable load P obtained by solving for two adjacent timesad.loadWhen the difference value between the two is within the set range, the adjustable load P of the system obtained by the last calculation is determinedad.loadThe load capacity optimization results may be adjusted for the final power system.
CN202210539818.5A 2022-05-17 2022-05-17 Power system adjustable load capacity optimization method based on new energy consumption Pending CN114744638A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116706951A (en) * 2023-06-08 2023-09-05 国网湖南省电力有限公司 Substation energy storage capacity configuration method and system based on load characteristics

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116706951A (en) * 2023-06-08 2023-09-05 国网湖南省电力有限公司 Substation energy storage capacity configuration method and system based on load characteristics
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

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