CN115471031A - Low-carbon economic dispatching strategy for power system based on joint operation of carbon capture power plant and pumped storage - Google Patents
Low-carbon economic dispatching strategy for power system based on joint operation of carbon capture power plant and pumped storage Download PDFInfo
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Abstract
The invention provides a low-carbon economic dispatching strategy of a power system based on combined operation of a carbon capture power plant and pumped storage. The strategy effectively realizes low-carbon economic operation of the power system and simultaneously improves the new energy consumption capability. The problem that the traditional thermal power plant is insufficient in high carbon emission and peak regulation capacity is solved, the defect that the carbon capture power plant participates in scheduling is overcome, the new energy consumption capacity is enhanced, and a theoretical basis and a practical solution are provided for achieving the purposes of carbon peak reaching and carbon neutralization in China. The flexible operation of the carbon capture power plant and the pumped storage combined operation can realize low-carbon economic complementary cooperation in the whole period, and a feasible solution is provided for the large-range application of the carbon capture power plant from the advantage of flexible resource combined scheduling with the current system.
Description
Technical Field
The invention relates to a low-carbon economic dispatching strategy of a power system, in particular to a practical dispatching strategy for realizing low-carbon economic complementary cooperation of the power system in the whole time period by flexibly operating a carbon capture power plant and jointly operating pumped storage in an acceleration construction process of a novel power system taking new energy as a main body, provides a feasible solution for large-range application of the carbon capture power plant and provides an effective path for quickly realizing a double-carbon target.
Background
Under the aim of 'double carbon', the thermal power ratio is gradually reduced while the power demand is increased year by year, and the ratio of new energy such as wind and light is increased. The carbon capture power plant is used as an important transition power supply for power conservation and carbon reduction, and has limitation due to the limitation of liquid storage capacity and the wind-light reverse peak regulation characteristic in the matching with new energy. The pumped storage serving as a high-capacity energy storage element can effectively cope with the wind-solar reverse peak regulation characteristic due to the bidirectional power regulation performance of rapid climbing, and the defects of a carbon capture power plant are overcome. Therefore, the low-carbon economic two-stage scheduling method for the power system considering the combined operation of the flexibly operated carbon capture power plant and the pumped storage is provided. Firstly, analyzing the operating advantages and limitations of a flexibly operating carbon capture power plant and a pumped storage, fully considering the energy consumption and time shifting characteristics and the pumped storage double regulation capacity, and combining the typical peak-valley characteristics of the net load, designing a low-carbon economic complementary cooperative mechanism of the flexibly operating carbon capture power plant and the pumped storage combined operation in the whole time period; then, introducing fuzzy parameters to represent the uncertainty of the net load, constructing a two-stage low-carbon economic dispatching model aiming at the lowest comprehensive cost of considering the running cost, the net load loss and the carbon emission, and solving by adopting an improved particle swarm algorithm; finally, simulation verifies that the scheduling method provided by the text can effectively combine the advantages of the scheduling method and the scheduling method to improve the low-carbon economic benefit of the system.
Disclosure of Invention
The invention aims to provide a low-carbon economic dispatching strategy of a power system based on the joint operation of a flexibly-operated carbon capture power plant and pumped storage, aiming at the current situation, and the strategy realizes low-carbon economic operation and simultaneously improves the new energy consumption capacity by matching a low-carbon economic complementary cooperative mechanism.
The technical problem of the invention is mainly realized by the following technical scheme:
based on the joint operation of carbon capture power plant and pumped storage, the low-carbon economic complementary synergistic characteristic is as follows: comprises the following steps.
Step 1: and analyzing the low-carbon economic characteristics of the flexibly-operated carbon capture power plant. The unit net output of the carbon capture plant is expressed as:
in the formula:
is the net output power of the carbon capture unit,
the equivalent output power of the carbon capture unit (namely the active power generated by fuel combustion);
the energy consumption is fixed (the energy consumption caused by the change of the operation structure of the power plant due to the introduction of carbon capture can be considered as a fixed value);
the operation energy consumption is provided for the carbon capture power plant.
The operating energy consumption required for carbon capture and the operating energy consumption of the carbon capture power plant and the power grid respectively supplied to the carbon capture system can be respectively expressed as:
in the formula: and
respectively supplying operation energy consumption required by carbon capture and operation energy consumption supplied by a power grid; alpha is alpha i Energy consumption is unit carbon capture amount; delta i,t CO for rich liquid storage 2 A ratio; k is a radical of i,t The flue gas split ratio is adopted; beta is a i The unit carbon emission intensity of the carbon capture power plant; gamma ray i,t Capturing power plant CO for carbon 2 The trapping rate is usually between 80% and 95%; k is a radical of G Ratio of compressed electric energy, k, supplied to the carbon capture unit G ∈[0,1]A means regenerative heat energy or the like
The effective energy consumption is proportional to the operating energy consumption.
The unit net output of the flexibly operating carbon capture power plant can be equivalent to:
the maximum and minimum net output power of the carbon capture power plant with flexible operation is given by:
in the formula:
and
CO respectively flowing out of the rich liquid storage 2 Maximum ratio, maximum carbon capture level and maximum flue gas split ratio;
and with
Then the maximum and minimum equivalent output powers, respectively, are corresponded. Can only store and not process CO under the working condition of maximum net output 2 Treatment of CO at minimum Net output 2 The amount is the largest, and the energy consumption for operation can be completely provided by the carbon capture unit.
The net output power variation range of the carbon capture plant can be obtained from equations (6) and (7) as follows:
the net output power variation range of a conventional thermal power plant is as follows:
the comparison of the characteristics of the conventional thermal power generating unit shows that: due to the energy consumption time shifting characteristic of the flexibly operated carbon capture power plant, the net output range is expanded, and a larger peak regulation depth is endowed; the high capture energy consumption in the load peak period can be supplied by a low-cost carbon capture power plant in the low-level period or the additionally-consumed new energy, the peak valley difference is reduced while the high carbon capture amount is ensured, and the consumption of the new energy is promoted. However, due to the influence of wind and light reverse peak regulation characteristics and gradually increased load peak-to-valley difference, the output pressure of the carbon capture power plant is high during the load peak period, and the provided upper rotation standby is insufficient, so that additional thermal power is frequently started and stopped or is in a deep peak regulation state for a long time. In the load valley period, the time shift of the capture energy consumption may not completely offset the margin of the wind power, and a large amount of wind abandon is caused.
Step 2: and analyzing the low-carbon economic characteristics of the pumped storage power station.
The main pumping and energy storage working conditions are a power generation working condition and a pumping working condition. The typical working condition output model of the pumped storage power station is as follows:
in the formula:
η gen h and
respectively generating power, efficiency, water head height and flow of the water turbine at the moment t;
η pm h and
respectively the pumping power, efficiency, water head height and flow of the water pump at the moment t; g is the acceleration of gravity.
The pumped storage low-carbon characteristic principle mainly comprises the following steps: 1) Sufficient pumped storage can offset the inverse peak regulation characteristic of wind power, and the output of the time-shifted new energy reaches peak reduction and valley filling, so that the new energy consumption is promoted; 2) The output pressure of a thermal power plant is relieved during the load peak period, and the carbon emission of the system is reduced; 3) The peak clipping characteristic reduces the system standby pressure, and the pumped storage can replace the rotary standby capacity provided by the thermal power.
And step 3: the low-carbon economic complementary characteristic existing in the joint operation of the flexible operation carbon capture power plant and the pumped storage is researched. The architecture of a power system combining a flexible operation carbon capture plant with pumped storage is shown in fig. 4. Considering the unification of the fluctuation of the load and the uncertainty of wind-solar power generation, regarding wind and solar as an unscheduled resource, and defining the net load at the time t as the generated energy of actual load deduction and unscheduled power generation:
P VL,t ＝P L,t -P W,t -P pv,t (11)
in the formula: p VL,t The net load demand of the system during the t period; p L,t The load requirement of the system in the t period; p W,t Predicting output power for the wind power in the t-th time period; p pv,t And predicting force output for the photovoltaic in the t-th period.
Fig. 5 is a low-carbon economic complementary mechanism diagram of the combined operation of the flexibly-operated carbon capture power plant and the pumped storage in the whole time period, and low-carbon economic conditions under four scenes are contrastingly analyzed in typical peak and valley time periods of net load.
(1) Net load peak hours (fig. 5 period iii): scene 2 has a large net load and capture demand, and the capture energy consumption needs to be time-shifted or the capture level needs to be reduced to relieve the output pressure, so that the output demand is increased relative to scene 1. In the scene 3, the pumped storage can be changed from pumped storage to power generation, or from shutdown to power generation, or the output of the high-carbon unit is reduced by improving the output of the power generation working condition. And similarly, due to peak clipping of water pumping and energy storage, the scene 4 can improve part of trapping energy consumption relative to the scene 2, and the time-shifting pressure of the energy consumption is reduced, so that the capacity requirement of the liquid storage tank is relatively reduced.
(2) Net load trough time:
when the wind and light abandoning situation is not prominent (fig. 5 period ii): in a scene 2, the time-shifted trapping energy consumption is provided by a carbon trapping power plant, so that the method has low carbon; the overall carbon capture level is also correspondingly increased. Under scene 3, the load that the operating mode of drawing water improves is provided by this period of time high carbon unit, does not possess the low carbon nature. Scene 4 has low carbon property as scene 2, and the peak clipping and valley filling capabilities are more prominent.
When the wind and light abandoning situation is prominent (period I in FIG. 5): in scenario 2, the capture energy consumption of the time shift is provided by the new energy additionally consumed in the time period, but the effect on promoting the consumption of the new energy is limited. Scene 3 has low carbon property as scene 2, but has a greater support effect on new energy consumption. The wind and light abandonment amount of the scene 4 system is lower than that of the scene 3, and the new energy consumption capacity is optimal.
In conclusion, the low-carbon economic complementary cooperation in the whole time period can be realized by flexibly operating the carbon capture power plant and performing the pumped storage combined operation. The combined operation has the advantages that: 1) The peak clipping and valley filling characteristics can greatly relieve the net output pressure of the carbon capture power plant; the capacity requirement of the liquid storage tank can be relatively reduced. 2) The provided upper rotating standby capacity reduces the standby pressure of the carbon capture power plant, covers the defect that the capture energy consumption increases the peak load, and reduces the condition that a high-carbon unit is probably needed to be started to provide rotating standby. 3) The pumped storage can effectively make up for the problem of insufficient consumption of new energy; the total capturing requirement of the system is reduced, meanwhile, capturing energy consumption of a larger proportion is equivalently provided by the original wind and light abandoning, and the low-carbon economic characteristic is further improved.
And 4, step 4: a two-stage low-carbon economic dispatching method is introduced.
A schematic diagram of the two-phase scheduling is shown in fig. 6. Because the net load prediction accuracy is improved along with the shortening of time, a two-stage scheduling method is introduced to coordinate and solve a carbon capture power plant and pumped storage combined operation mechanism and strategy so as to realize a low-carbon economic target to the maximum extent.
And (4) in the day-ahead scheduling, a whole-day scheduling plan is made in advance by taking 1h as a time interval, and a thermal power generating unit start-stop plan is determined. And the scheduling in the day is rolled once in 15min according to a net load curve with higher prediction precision, a plan of 1h is optimized every time, the pumped storage and collection plan is revised as a master schedule, a unit start-stop plan formulated in the day is not changed, and an output plan, a carbon collection plan and a final rotary standby plan of each unit are revised.
And 5: an objective function is determined.
In consideration of the fact that the actual wind, light and load are difficult to predict and collect and have errors, the uncertainty of the net load of the system is represented by fuzzy parameters, the uncertainty degree of the system is described by using trapezoid membership parameters, fuzzy opportunity constraint is established, and clear equivalent solving is carried out on the fuzzy opportunity constraint. The constraint condition contains the optimal problem of fuzzy parameters and is expressed as follows:
in the formula: c (x) is an objective function;
is a constraint function; cr { } is the confidence expression, and α is the confidence level.
The day-ahead scheduling makes a scheduling plan according to the net load forecasting condition, introduces a carbon trading mechanism on the basis of considering economic scheduling, takes the minimum comprehensive operation cost of the system as an objective function, and is expressed as follows:
minC 1 ＝min(C O +C C +C Y +C T +C VL ) (13)
in the formula: c 1 The comprehensive cost of the system is obtained; c O The starting and stopping cost of the thermal power generating unit is saved; c C Operating costs for pumped storage; c Y The coal consumption cost of the thermal power generating unit is reduced; c T Is the carbon emission cost; c VL Penalizing costs for the payload mismatch.
Wherein:
1) Thermal power generating unit start-stop cost C O
In the formula: c nu 、C nd Respectively a single thermal power generating unit (K conventional units and I carbon collectors)Group) start-up and stop costs; x is the number of n,t 、y n,t Respectively starting and stopping the nth thermal power generating unit within a time period t, and taking 1 or 0 to indicate that the nth thermal power generating unit is in or not in the state;
2) Operating cost C of pumped storage unit C
The operation cost of the pumped storage unit comprises the starting cost of the power generation working condition and the starting cost of the pumping working condition:
in the formula: c g And C p The starting cost of power generation and water pumping of a single water pumping and energy storage unit is respectively saved;
the value of the power generation state indicating quantity and the water pumping state indicating quantity of the water pumping energy storage unit is 1 or 0.
3) Coal consumption cost C of thermal power generating unit Y
In the formula: sigma Y The unit coal consumption cost; z is a radical of n,t Taking a value of 1 or 0 for a state variable of the unit n running in the time period t; a is a n 、b n And c n The constant coefficient is the coal consumption characteristic of the thermal power generating unit n;
and the equivalent output power of the thermal power generating unit in the t period is obtained.
4) Carbon emission cost C T
In order to fully play the role of the carbon capture power plant and introduce carbon emission trading rules, the carbon emission of the system mainly comes from a conventional coal-fired unit and a carbon capture unit, and the total carbon emission of the whole day is as follows:
in the formula: beta is a k The unit carbon emission intensity of a conventional coal-fired unit k;
the equivalent output power of the conventional coal-fired unit in the t period.
The total carbon emission quota of the system all day:
in the formula: lambda [ alpha ] D And the carbon emission quota coefficient is the carbon emission quota coefficient of the thermal power plant.
And paying corresponding cost if the carbon transaction exceeds the quota according to emission, and obtaining payment if the carbon transaction does not exceed the quota. Carbon emission cost calculation:
C T ＝δ T (m Σ -m D ) (19)
in the formula: delta T Is the carbon trade price.
5) Net load mismatch penalty cost C VL
In the formula: alpha is alpha L Penalty coefficients for net load mismatch;
the actual payload is supplied for the period t.
And performing rolling optimization scheduling within a day according to the scheduling scheme obtained by optimization scheduling before the day as a reference and the updated net load predicted value, and performing secondary matching on the updated net load curve by fully playing the adjusting capability of the carbon capture system and the water pumping energy storage without changing the determined start-stop state of the thermal power generating unit. The intraday rolling optimization scheduling objective function is as follows:
minC 2 ＝min(C C +C Y +C T +C VL ) (21)
step 6: a constraint is determined.
Scheduling constraint conditions in the day ahead:
1) System power transmission constraints
Including line transmission limit power constraints and power balance constraints:
P l,min ≤P l,t ≤P l,max ,l＝1,2,…,m (22)
in the formula: p l,max And P l,min Respectively the upper and lower power limits of the line l;
and
and generating power and pumping power for the jth pumped storage unit in the time period t respectively.
2) Output constraint of conventional coal-fired unit and carbon capture unit
3) Climbing restraint of conventional coal-fired unit and carbon capture unit
In the formula: r Dn The down-grade climbing speed (hour grade) of the unit n; r is Un The uphill speed of the unit n.
4) Start-stop constraint of conventional coal-fired unit and carbon capture unit
Because of the physical characteristics of the coal-fired unit and the cost of starting and stopping coal consumption, the unit needs to meet the minimum starting and stopping time constraint and the starting and stopping running state constraint:
in the formula: t is on For minimum set-up time, T off The minimum shutdown time of the unit is obtained, and the start-stop time parameters of different types of units are different.
5) Flexible operation carbon capture system constraints
And (3) restricting the smoke flow splitting ratio:
(1-k x )≤k i,t ≤k x (28)
in the formula: k is a radical of x Is the smoke diversion ratio limit value.
The reserve volume of the solution storage device in the t period is related to the reserve volume in the t-1 period and the inflow and outflow volumes in the t period, namely:
in the formula:
and
rich and lean storage reserves for the carbon capture system at time t;
and
the inflow and outflow of the storage of the carbon capture unit in the t period are respectively; CO is introduced into 2 Quality of
Conversion to volume of solution
In the formula:
is CO 2 Molar mass; m is MEA Is the molar mass of the MEA; theta is the analysis amount of the analysis tower; mu.s L Is the solution concentration; sigma L Is the solution density; the solution flow satisfies the following relationship:
solution reservoir inventory constraints:
in the formula:
the maximum storage capacity of the rich liquid and the lean liquid storage is obtained.
In order to ensure that the day-ahead periodic scheduling system runs reasonably, the solution storage capacity needs to be kept unchanged from beginning to end of scheduling, namely:
6) Pumped storage unit operation constraints
In the formula:
and
respectively representing the upper limit and the lower limit of pumping/generating power of the pumped storage unit;
the storage capacity of an upper reservoir at the time t of the pumped storage power station;
respectively representing the upper limit and the lower limit of the upper storage capacity of the pumped storage power station;
and
the water quantity/electric quantity conversion coefficient under the working condition of pumping water or generating electricity;
and
scheduling the storage capacity of an upper reservoir at the beginning and the end of a day for the pumped storage power station; because the lower reservoir capacity is larger, the restriction of the upper reservoir capacity is consistent with the restriction of the lower reservoir capacity, so that the lower reservoir is not required to be restricted.
7) Spinning standby trusted opportunity constraints
In order to fully ensure the operation flexibility of the system, various resources are required to be allocated as rotary standby to respond to the random fluctuation of the net load; the main rotary standby is derived from a carbon capture power plant, a conventional thermal power unit and a pumped storage unit, and is divided into an upper rotary standby constraint and a lower rotary standby constraint, and calculation is carried out according to the push-out formulas (35) and (36).
In the formula:
for clear equivalence of the t-period payload, P t su And P t sd Calculating the available up/down rotation reserve in the day-ahead dispatching of the pumped storage power station according to an equation (37) and an equation (38):
and (3) rolling optimization scheduling constraint conditions in days:
in addition to power balance constraint, thermal power unit output constraint and carbon capture system constraint, the day-ahead rolling optimization scheduling constraint conditions need to be adjusted along with reduction of time scale of unit climbing constraint, pumped storage start-stop constraint and rotary standby constraint.
1) Slope climbing restraint of thermal power generating unit in day
2) Pumped storage operating mode conversion constraint
The work condition conversion in the rolling scheduling in the day needs to meet the constraint:
3) Day spin standby creditability opportunity constraints
The day-in spinning reserve is similar to that before the day, but the ramp rate in the constraint needs to be updated from an hour level to a 15min level, and the up/down spinning reserve provided by the pumped storage also needs to be adjusted correspondingly, and is calculated according to an equation (41) and an equation (42). Specific constraints are not described in detail.
And 7: and solving the model.
Solving fuzzy chance constraint: when the confidence level alpha is more than or equal to 0.5, the clear equivalence of the trapezoidal fuzzy parameter of the net load is as follows:
P Fi,t ＝k Fi P F,t i＝1,2,3,4 (44)
in the formula: f stands for load, wind and photovoltaic, P Fi,t For respective blur parameters, k Fi Is a membership parameter.
The future rotating standby fuzzy opportunity constraint is solved in a clear equivalence mode as follows; intra-day scheduled spinning standby constraints are similar.
Meanwhile, due to the fact that a scheduling model for flexibly operating the carbon capture power plant and the pumped storage combination is complex, multiple in variable and difficult to linearize; consider solving with an Improved Particle Swarm Optimization (IPSO). The proposed IPSO overcomes the premature convergence in the traditional PSO iteration process and solves the problem of premature convergence; inertial weights, self and social learning factors are improved to improve convergence speed while avoiding local optimality. The algorithm flow is shown in fig. 7.
First, introducing a compression factor into the inertial weight, the velocity and position of particle i are updated as follows:
in the formula: w is the inertial weight;
is the flight speed;
is a group position; c. C 1 、c 2 Are self and social learning factors;
individual and global optimal locations; r is 1 And r 2 Is a random number between (0,1).
Using a nonlinear inverse cosine acceleration pair c 1 、c 2 And self-adaptive time-varying adjustment is carried out, individual historical information is emphasized at the initial stage of particle flight, and global experience is emphasized at the later stage. The improvement is as follows:
in the formula: c. C 11 、c 21 、c 12 、c 22 The initial value and the final value of iteration are usually 2.5, 0.5 and 2.5; t is the current iteration number; and T is the maximum value of the iteration times.
For the high carbon emission problem of the traditional thermal power plant and the volatility problem of new energy, the low-carbon economic complementary synergistic advantage of the traditional thermal power plant and the new energy in the whole period is highlighted by introducing a carbon capture power plant and matching with the mature large-scale energy storage resource, namely pumped storage, of the current power system; the two are matched to have unique advantages in three aspects of economic cost, carbon emission reduction and new energy consumption, and can provide feasible reference for clean low-carbon transformation of the power system.
Drawings
FIG. 1 comparison graph of net output of a flexible operation carbon capture plant and a conventional thermal power plant
FIG. 2 is a typical working condition conversion diagram of a pumped storage unit
FIG. 3 is a schematic diagram of pumped storage low carbon characteristics
FIG. 4 is a block diagram of a power system including a flexible operation carbon capture plant and pumped storage
FIG. 5 shows a low-carbon economic complementary mechanism diagram of a flexibly-operated carbon capture power plant and pumped storage combined operation
FIG. 6 is a schematic diagram of two-phase scheduling
FIG. 7 algorithm solving flow chart
FIG. 8 improved IEEE-30 node topology map
FIG. 9 day-ahead wind power, photovoltaic, load prediction and net load graph
FIG. 10 is a graph of wind power, photovoltaic, load prediction and net load curves over a day
Detailed Description
The technical solution of the present invention is further described below by way of examples with reference to the accompanying drawings.
The invention relates to a low-carbon economic dispatching strategy, in particular to a power system low-carbon economic dispatching strategy before a novel power system 'double-carbon' target is realized, a Carbon Capture Utilization and Sequestration (CCUS) technology is the current selection for quickly realizing an emission reduction target and the lowest cost, and a carbon capture power plant becomes the optimal selection for flexible low-carbon transformation of thermal power. At present, no learner has deeply studied the low-carbon complementary synergistic advantage existing in the matching of the two low-carbon means in domestic and foreign research documents. Therefore, the strategy needs to deeply dig the limitation of the low-carbon principle of the two, and then deeply analyzes the low-carbon economic complementary cooperation mechanism of the two, so that the low-carbon economic operation can be realized and the new energy absorption capacity can be improved while the balance of the electric power and the electric quantity is ensured.
Examples
The technical scheme of the invention is mainly based on the combined operation of the flexible operation carbon capture power plant and the pumped storage, and the low-carbon performance of the system can be improved while the economic cost is reduced by solving the model through the algorithm.
1. The principles of the present invention will be described first.
The inventive principle is the same as the above steps 1-7, and is not repeated herein.
2. The embodiment adopts an improved IEEE-30 node system, and the system topology is shown in figure 8. The wind power and photovoltaic power stations are respectively connected to nodes 5 and 8, G1 and G2 are FCCPP, G1 keeps running on line, G4 is a pumped storage unit, and G3, G5 and G6 are conventional thermal power units. The prediction curves of wind power, photovoltaic and load are shown in fig. 9 and 10.
In order to verify the effectiveness of the low-carbon economic dispatching method for flexibly operating the carbon capture power plant and performing pumped storage combined operation, dispatching results under three scenes are compared and analyzed:
1) Two-stage scheduling of a power plant containing flexibly operating carbon capture;
2) Two-stage scheduling including water pumping and energy storage;
3) The method comprises two-stage scheduling of flexibly operating the carbon capture power plant and pumping water to store energy.
Two-stage scheduling result analysis:
the predicted typical daily load curve is divided into 24 segments, with a maximum load of 1110.60MW, a minimum load of 253.90MW, an average load of 704.32MW, and a maximum peak-to-valley difference of the loads of 856.70MW.
Because the operation of the pumped storage power station needs to obtain the income in cooperation with the electricity price mechanism to maintain the operation, each time-of-use electricity price is set according to the difference between the load and the average load, the electricity price in the low period is set to be 200 yuan/MWh, the electricity price on the internet in the flat period is set to be 400 yuan/MWh, the electricity price in the peak period is set to be 600 yuan/MWh, and the condition of the set time-of-use electricity price is shown in table 1:
TABLE 1 time-of-use electricity price at each time interval
The specific scheduling conditions of the system in the above 3 scenarios are as follows:
TABLE 2 scheduling run results day ahead
As can be seen from table 2, during day-ahead scheduling, the payload loss of scene 2 is reduced by 519.60MWh and the carbon displacement is increased by 4930t, compared to scene 1; from the results, the systems comprising the flexible operation carbon capture power plant and the water pumping energy storage respectively have advantages in reducing the carbon emission and promoting the new energy consumption. Scene 3 adopts the cooperation of the two, and the operation cost is reduced by 4.39% compared with scene 1, because the participation of pumped storage improves the consumption of new energy, reduces the load proportion born by thermal power, and reduces the coal consumption and carbon emission. The net load loss cost of the scene 2 is reduced by 75.86% relative to the scene 1, and the net load loss cost of the scene 3 is reduced by 85.96% relative to the scene 1, which indicates that both the carbon capture power plant and the pumped storage have the capacity of promoting new energy consumption, and the carbon capture power plant has limited functions mainly of pumped storage. The carbon emission of scene 3 is reduced by 15.47% compared with scene 1, and is reduced by 65.49% compared with scene 2; the total cost of scene 3 is reduced by 21.49% compared with scene 1 and 24.61% compared with scene 2; the conclusion shows that when the two are jointly participated in day-ahead scheduling, the low carbon and economic characteristics of the system are greatly improved.
TABLE 3 rolling schedule run results within days
As can be seen from table 3, during the rolling schedule phase within the day, the total cost of scenario 3 is reduced by 22.53% and 26.97% relative to scenarios 1 and 2, respectively; the carbon emission is relatively reduced by 20.65 percent and 68.37 percent; the net load loss cost is relatively reduced by 90.29% and 53.95%. The rolling scheduling result in the day shows that the two are matched to have the superiority of low-carbon economic complementary cooperation in the whole time period, and the effectiveness of the low-carbon economic scheduling model provided by the patent is verified.
The system has the condition of wind and light abandonment because a part of wind power is abandoned when the thermal power is started and stopped; meanwhile, because large-capacity energy storage is not available, although the time shift of carbon capture energy consumption can promote the consumption of part of new energy, the effect is very little; in addition, the energy consumption time shift relieves the peak-to-valley difference of the net load to a certain extent.
In the scene 2, due to the existence of pumped storage, the condition of wind and light abandonment of the system is obviously relieved, the output requirement of the thermal power plant is obviously reduced in the net load peak period, the standby pressure of the high-carbon unit is relieved, but because a carbon capture device is not configured, the net load is mainly still provided by the high-carbon unit, and the carbon discharge capacity of the system is still very high.
In order to improve the limitations of the scene 1 and the scene 2, the scene 3 highlights the cooperation between the scene 1 and the scene 2, compared with the scene 1, the wind and light abandoning is greatly reduced, the pressure of time shift of the carbon capturing energy consumption is greatly relieved, the flexible control characteristic of the carbon capturing energy consumption is improved, and the requirement on the capacity of a solution storage is reduced; compared with scenario 2, the time shift of the carbon capture energy consumption further improves the capacity of the system to absorb new energy; meanwhile, due to the fact that the trapping equipment is arranged, the net load of the system is mainly provided by a low-carbon trapping power plant, and the low-carbon performance of the system is greatly improved.
The unit combination of the scene 3 is superior to the scenes 1 and 2 in the capability of promoting wide consumption of clean energy, and the better low-carbon economic benefit can be obtained by the coordination of pumped storage and a solution storage.
In the net load peak period, the smoke split ratio of the scene 3 is generally higher than that of the scene 1, the output pressure of the carbon capture power plant is relieved due to the existence of pumped storage, the energy consumption can be captured at a certain proportion in the peak period, the storage effect of the solution storage is utilized as far as possible, and the carbon capture level is improved. Scene 1 all-day carbon output 9546.70t and carbon capture 6145.34t; scene 3 whole day carbon output 9131.31t and carbon capture 6256.26t; scene 3 the total daily carbon output is reduced by 415.39t and the carbon capture is increased by 110.92t compared with scene 1; the results show that the addition of pumped storage can greatly relieve the peak load pressure of the flexibly operated carbon capture equipment, so that the equipment can concentrate on reducing carbon emission.
Under the scene 1, because the output pressure of the carbon capture power plant is large, the peak clipping and valley filling effects during energy consumption are obvious, and the maximum carbon capture energy consumption appears at the time of 15 days when the net load is lowest; the participation of water pumping and energy storage in scene 3 obviously reduces the pressure of energy consumption peak regulation by means of time shifting capture, the peak regulation characteristic is not obvious, the time period of the occurrence of the maximum carbon capture energy consumption is far earlier than that in scene 1, and the maximum carbon capture energy consumption is less than that in scene 1, which shows that the introduction of water pumping and energy storage has an obvious effect on relieving the peak regulation pressure of the carbon capture power plant, the peak value of the solution storage is obviously reduced, and therefore, the requirement of the system on the capacity of the liquid storage tank is also reduced.
Under the typical daily load of the invention, the total daily net gain of the pumped storage unit under scene 2 is 3.5498 × 10 5 Yuan, the total daily net gain under scene 3 is 3.5850 × 10 5 The net gain of scene 3 relative to scene 2 pumped storage unit is improved by 3517.87 yuan, it can be seen that due to the introduction of carbon capture equipment, the output pressure is slightly increased in the high peak time period, pumped storage is more concentrated on providing peak load output, the working efficiency is improved, and part of economic benefits are increased. When the wind and light abandoning condition is not serious, the net profit difference of the scene 3 relative to the scene 2 is further enlarged, and the long-term accumulated profit is considerable.
Table 4 analyzes the effect of pumped storage capacity:
the pumped storage with larger installed capacity can effectively deal with the inverse peak regulation characteristic of wind and light, and realize low-carbon economic dispatching of the system, but high construction cost and site selection condition are accompanied; considering that the economy has the optimal installation, the carbon emission and the comprehensive cost of the pumped storage under different capacities need to be analyzed.
TABLE 4 pumped storage Capacity impact
It can be seen from table 4 that with the increase of the pumped storage installation, the net load loss cost of the system is greatly reduced and finally tends to be stable, because the pumped storage can effectively absorb wind and light output in the valley period through the pumping working condition, and the absorption capacity is related to the capacity, and when the wind and light output reaches more than 200MW, the net load loss cost reduction range is small, which indicates that the capacity is basically enough for the system to completely absorb new energy. In addition, when 300MW is installed, the high-carbon thermal power G3 does not need to be started to provide rotation standby, and the starting and stopping cost is greatly reduced.
The carbon emission and the comprehensive cost of the system tend to decrease along with the increase of the pumped storage capacity; when the carbon is installed to 200MW and 300MW, the carbon emission and the comprehensive cost respectively tend to be stable; the lowest point of the comprehensive cost depends on the confidence level of the system, and the higher the confidence level is, the larger the required pumped storage capacity is.
The scheduling model employs fuzzy chance-containing constraints, and this section discusses the impact of different confidence levels on the joint operation scheduling result. Partial parameter comparisons with confidence levels a from 0.5 to 1.
TABLE 5 Scenario 3 confidence level impact
As can be seen from table 5, for the system including the flexible operation carbon capture power plant and the pumped storage combined operation, as the confidence level α increases, the rotational reserve capacity of the system and the reserve provided by the required high-carbon thermal power are both significantly increased, and a positive correlation is presented. At the same time, carbon emissions and overall costs are increasing. This is because the confidence level reflects the reliability of the system schedule, the higher the alpha value, the more abundant the spinning reserve, the higher the reliability and cost.
The method comprises the step of comparing the total rotating standby of a scheduling model of a carbon capture power plant with flexible operation with the standby provided by high-carbon fire power with the presence or absence of water pumping energy storage under different confidence levels. The general trends all tend to be positively correlated.
In contrast, scene 3 has a greater tendency to rotate for standby than scene 2, and scene 3 requires more standby when α > 0.6. This is because the down-regulation capability of the scene 1 is insufficient, and the wind-light absorption capability is weaker than that of the scene 3; the higher the confidence coefficient is, the more conservative the fuzzy parameters of wind and light are, the larger the clear equivalent value of the net load is, the scene 3 is far more than the scene 1 because of wind and light internet access in scheduling, and the required spin-up standby growth speed is higher along with the increase of alpha. Also, comparing different confidence levels, scenario 3 requires significantly less spinning reserve than scenario 1 due to the peak clipping and valley filling capability and sufficient spinning reserve capability of pumped storage. The comparison of 'one more and one less' shows that the introduction of pumped storage can obviously improve the absorption capacity and simultaneously reduce the standby capacity of high-carbon thermal power. In addition, the high-carbon standby improvement amplitude of the scene 1 is increased when the alpha is between 0.8 and 1, because the situation that the high-carbon power is needed to provide the standby additionally occurs in the peak 9-11 period.
In summary, the confidence level α determines the trend of reliability and cost of the system. Therefore, the appropriate confidence level needs to be selected according to the practical influence, and the safety and the economy are balanced.
The simulation result explanation based on the flexible operation carbon capture power plant and pumped storage combined operation strategy provided by the invention is as follows: the two have the low-carbon economic complementary synergistic advantage in the whole period, the model has unique advantages in the aspects of economic cost, carbon emission reduction and new energy consumption, and a feasible solution can be provided for assisting 'carbon peak reaching, carbon neutralization'.
The above embodiments are only intended to illustrate the technical solution of the present invention and not to limit it, and those skilled in the art to which the present invention pertains may make various modifications or compensations to the described embodiments without departing from the scope of the present invention as defined by the appended claims.
Claims (9)
1. The utility model provides a low carbon economy of electric power system dispatch strategy based on operation is united with pumped storage in carbon capture power plant which characterized in that:
analyzing the low-carbon economic characteristic of the flexibly-operated carbon capture power plant, the low-carbon economic characteristic of the pumped storage power station and the low-carbon economic complementary characteristic existing in the combined operation of the flexibly-operated carbon capture power plant and the pumped storage;
establishing a two-stage low-carbon economic dispatching method, wherein the method is based on the following objective functions, namely representing the uncertainty of the system net load by adopting fuzzy parameters, describing the uncertainty degree by using trapezoidal membership parameters, establishing fuzzy chance constraint and performing clear equivalent solution on the fuzzy chance constraint; the constraint condition contains the optimal problem of fuzzy parameters and is expressed as follows:
in the formula: c (x) is an objective function; g is a radical of formula j (x, ζ) is a constraint function; cr { } is a confidence expression, and alpha is a confidence level;
the day-ahead scheduling makes a scheduling plan according to the net load forecasting condition, introduces a carbon trading mechanism on the basis of considering economic scheduling, takes the minimum comprehensive operation cost of the system as an objective function, and is expressed as follows:
minC 1 ＝min(C O +C C +C Y +C T +C VL ) (11)
in the formula: c 1 The comprehensive cost of the system is obtained; c O The starting and stopping cost of the thermal power generating unit is saved; c C Operating costs for pumped storage; c Y Coal consumption cost of a thermal power generating unit; c T Is the carbon emission cost; c VL Penalizing costs for the net load mismatch.
2. The power system low-carbon economic dispatching strategy based on combined operation of the carbon capture power plant and pumped storage is characterized by comprising the following steps of:
the unit net output of the carbon capture power plant when analyzing the low-carbon economic characteristics of the flexibly operating carbon capture power plant is expressed as:
in the formula:
is the net output power of the carbon capture unit,
the equivalent output power of the carbon capture unit, namely the active power generated by fuel combustion;
the energy consumption is fixed, namely the energy consumption caused by the change of the operation structure of the power plant due to the introduction of carbon capture is considered as a fixed value;
the running energy consumption is provided for the carbon capture power plant;
the operating energy consumption required for carbon capture and the operating energy consumption of the carbon capture power plant and the power grid respectively supplied to the carbon capture system can be respectively expressed as:
in the formula: and
respectively supplying operation energy consumption required by carbon capture and operation energy consumption supplied by a power grid; alpha is alpha i Energy consumption is unit carbon capture amount; delta i,t CO for rich liquid storage 2 A ratio; k is a radical of i,t The flue gas split ratio; beta is a i The unit carbon emission intensity of the carbon capture power plant; gamma ray i,t Capturing power plant CO for carbon 2 The trapping rate is usually between 80% and 95%; k is a radical of G Ratio of compressed electric energy, k, supplied to the carbon capture unit G ∈[0,1]A means regenerative heat energy or the like
The effective energy consumption accounts for the proportion of the operation energy consumption;
the unit net output of the flexibly operating carbon capture power plant can be equivalent to:
the maximum and minimum net output power of the carbon capture power plant with flexible operation is given by:
in the formula:
and
CO respectively flowing out of the rich liquor storage 2 Maximum ratio, maximum carbon capture level and maximum flue gas split ratio;
and with
Respectively corresponding to the maximum and minimum equivalent output power; can only store and not process CO under the working condition of maximum net output 2 Treatment of CO at minimum Net output 2 The amount is the largest, and the running energy consumption can be completely provided by the carbon capture unit;
the net output power variation range of the carbon capture plant can be obtained from equations (6) and (7) as follows:
the net output power variation range of a conventional thermal power plant is as follows:
the comparison of the characteristics of the conventional thermal power generating unit shows that: due to the energy consumption and time shifting characteristics of the flexibly operated carbon capture power plant, the net output range is expanded, and a larger peak regulation depth is endowed; the high capture energy consumption in the load peak period can be supplied by a low-level low-cost carbon capture power plant or additionally consumed new energy, so that the peak-valley difference is reduced while the high carbon capture amount is ensured, and the consumption of the new energy is promoted; however, due to the influence of wind-solar reverse peak regulation characteristics and gradually increased load peak-valley difference, the output pressure of the carbon capture power plant is high during the load peak period, and the provided upper rotation standby is insufficient, so that additional thermal power is frequently started and stopped or is in a deep peak regulation state for a long time; in the load valley period, the time shift of the capture energy consumption may not completely offset the margin of the wind power, and a large amount of wind abandon is caused.
3. The power system low-carbon economic dispatching strategy based on combined operation of the carbon capture power plant and pumped storage is characterized by comprising the following steps of: when the low-carbon economic characteristics of the pumped storage power station are analyzed, the pumped storage low-carbon characteristic principle comprises the following steps:
1) Sufficient pumped storage can offset the inverse peak regulation characteristic of wind power, and the output of the time-shifted new energy reaches peak reduction and valley filling, so that the new energy consumption is promoted;
2) The output pressure of the thermal power plant at the load peak period is relieved, and the carbon emission of the system is reduced;
3) The peak clipping characteristic reduces the system standby pressure, and the pumped storage can replace the rotary standby capacity provided by the thermal power.
4. The power system low-carbon economic dispatching strategy based on combined operation of the carbon capture power plant and pumped storage is characterized by comprising the following steps of: when the low-carbon economic complementary characteristic exists in the combined operation of the flexible operation carbon capture power plant and the pumped storage, firstly considering the volatility of the load and the uncertainty of wind-light power generation to be unified, regarding the wind-light as an unscheduled resource, and defining the net load at the moment t as the generated energy of actual load deduction without scheduling:
P VL,t ＝P L,t -P W,t -P pv,t (10)
in the formula: p is VL,t The net load demand of the system for the t period; p L,t The load requirement of the system in the t period; p W,t Predicting output power for the wind power in the t-th time period; p pv,t And predicting force output for the photovoltaic in the t-th period.
5. The power system low-carbon economic dispatching strategy based on combined operation of the carbon capture power plant and the pumped storage is characterized by comprising the following steps of: when the carbon capture power plant is flexibly operated and the low-carbon economic complementary mechanism is jointly operated by pumped storage, the method is divided into the following time periods
Net load peak hours: scene 2 has larger net load and trapping requirements, and needs to time-shift trapping energy consumption or reduce the trapping level to relieve the output pressure, so that the output requirement is increased relative to scene 1; in the scene 3, the pumped storage can be changed from pumped storage to power generation, or from shutdown to power generation, or the output of the high-carbon unit is reduced by improving the output of the power generation working condition; similarly, due to peak clipping of water pumping and energy storage, the scene 4 can improve part of trapping energy consumption relative to the scene 2, and the pressure is reduced during energy consumption and time shifting, so that the capacity requirement of the liquid storage tank is relatively reduced;
net load trough time:
when the wind and light abandoning conditions are not outstanding: in scene 2, the time-shifted trapping energy consumption is provided by a carbon trapping power plant, and the low carbon performance is achieved; the overall carbon capture level is also correspondingly improved; in a scene 3, the load improved by the water pumping working condition is provided by the high-carbon unit in the time interval, and the low-carbon performance is not realized; scene 4 has low carbon property as scene 2, and the peak clipping and valley filling capabilities are more prominent;
when the condition of wind and light abandonment is prominent: in scenario 2, the time-shifted trapping energy consumption is provided by the new energy additionally consumed in the time period, but the effect on promoting the consumption of the new energy is limited; the scene 3 has low carbon property as the scene 2, but has a greater support effect on new energy consumption; the wind and light abandonment amount of the scene 4 system is lower than that of the scene 3, and the new energy consumption capacity is optimal.
6. The power system low-carbon economic dispatching strategy based on combined operation of the carbon capture power plant and the pumped storage is characterized by comprising the following steps of: because the net load prediction precision is improved along with the shortening of time, a two-stage scheduling method is adopted to coordinate and solve a carbon capture power plant and pumped storage combined operation mechanism and strategy so as to realize a low-carbon economic target to the maximum extent;
the day-ahead scheduling takes 1h as a time interval to make a whole-day scheduling plan in advance, and a thermal power unit start-stop plan is determined; and the scheduling in the day is rolled once in 15min according to a net load curve with higher prediction precision, a plan of 1h is optimized every time, the pumped storage and collection plan is revised as a master schedule, a unit start-stop plan formulated in the day is not changed, and an output plan, a carbon collection plan and a final rotary standby plan of each unit are revised.
7. The power system low-carbon economic dispatching strategy based on combined operation of the carbon capture power plant and the pumped storage is characterized in that:
1) Thermal power generating unit start-stop cost C O
In the formula: c nu 、C nd Starting and stopping costs of a single thermal power generating unit (K conventional units and I carbon capture units) respectively; x is the number of n,t 、y n,t Starting and stopping states of the nth thermal power generating unit within a time period t respectively, and taking 1 or 0 to indicate that the nth thermal power generating unit is in or not in the state;
2) Operating cost C of pumped storage unit C
The operation cost of the pumped storage unit comprises the starting cost of the power generation working condition and the starting cost of the pumping working condition:
in the formula: c g And C p The starting cost of power generation and water pumping of a single water pumping and energy storage unit is respectively saved;
respectively taking the value of the power generation state indicating quantity and the water pumping state indicating quantity of the water pumping energy storage unit as 1 or 0;
3) Coal consumption cost C of thermal power generating unit Y
In the formula: sigma Y The unit coal consumption cost; z is a radical of formula n,t As a unitn is a state variable running in the time period t, and takes the value of 1 or 0; a is n 、b n And c n The constant coefficient is the coal consumption characteristic constant coefficient of the thermal power generating unit n;
the equivalent output power of the thermal power generating unit in the t period is obtained;
4) Carbon emission cost C T
In order to fully play the role of the carbon capture power plant and introduce carbon emission trading rules, the carbon emission of the system mainly comes from a conventional coal-fired unit and a carbon capture unit, and the total carbon emission of the whole day is as follows:
in the formula: beta is a k The unit carbon emission intensity of a conventional coal-fired unit k;
equivalent output power of a conventional coal-fired unit in a period t;
the total carbon emission quota of the system all day:
in the formula: lambda [ alpha ] D A carbon emission quota coefficient of the thermal power plant;
if the carbon transaction exceeds the quota according to emission, paying corresponding cost, and if the carbon transaction does not exceed the quota, acquiring payment for quota allowance transaction; carbon emission cost calculation:
C T ＝δ T (m Σ -m D ) (17)
in the formula: delta T A carbon transaction price;
5) Net load mismatch penalty cost C VL
In the formula: alpha is alpha L Penalty factor for net load mismatch;
actual payload supply for period t;
performing rolling optimization scheduling within a day according to an updated net load predicted value by taking a scheduling scheme obtained by optimization scheduling before the day as a reference, and performing secondary matching on an updated net load curve by fully playing the adjusting capability of a carbon capture system and the water pumping and energy storing without changing the determined starting and stopping state of the thermal power generating unit; the intraday rolling optimization scheduling objective function is as follows:
minC 2 ＝min(C C +C Y +C T +C VL ) (19)。
8. the power system low-carbon economic dispatching strategy based on combined operation of the carbon capture power plant and the pumped storage is characterized in that: the constraint conditions include
Scheduling constraint conditions in the day ahead:
1) System power transmission constraints
Including line transmission limit power constraints and power balance constraints:
P l,min ≤P l,t ≤P l,max ,l＝1,2,…,m (20)
in the formula: p is l,max And P l,min Respectively the upper and lower power limits of the line l;
and
respectively is the jth pumped storage unit at the momentGenerating power and pumping power in the section t;
2) Output constraint of conventional coal-fired unit and carbon capture unit
3) Climbing restraint of conventional coal-fired unit and carbon capture unit
In the formula: r Dn The down-grade climbing speed (hour grade) of the unit n; r Un The upward slope climbing rate of the unit n;
4) Start-stop constraint of conventional coal-fired unit and carbon capture unit
Because of the physical characteristics of the coal-fired unit and the cost of starting and stopping coal consumption, the unit needs to meet the constraint of minimum starting and stopping time and the constraint of starting and stopping running states:
in the formula: t is on For minimum set-up time, T off The minimum shutdown time of the unit is set, and the start-stop time parameters of different types of units are different;
5) Flexible operation carbon capture system constraints
And (3) restricting the smoke flow splitting ratio:
(1-k x )≤k i,t ≤k x (26)
in the formula: k is a radical of x Is a smoke gas split ratio limit value;
the reserve volume of the solution storage device in the t period is related to the reserve volume in the t-1 period and the inflow and outflow volumes in the t period, namely:
in the formula:
and
rich and lean storage reserves for the carbon capture system at time t;
and
the inflow and outflow of the storage of the carbon capture unit in the t period are respectively;
introducing CO 2 Quality of
Conversion to volume of solution
In the formula:
is CO 2 Molar mass; m is MEA Is the MEA molar mass; theta is the analysis amount of the analysis tower; mu.s L Is the solution concentration; sigma L Is the solution density;
the solution flow satisfies the following relationship:
solution reservoir inventory constraints:
in the formula:
the maximum storage capacity of a rich solution storage and a lean solution storage;
in order to ensure that the day-ahead periodic scheduling system runs reasonably, the solution storage capacity needs to be kept unchanged from beginning to end of scheduling, namely:
6) Pumped storage unit operation constraints
In the formula:
and
respectively representing the upper limit and the lower limit of pumping/generating power of the pumped storage unit;
the storage capacity of an upper reservoir at t time interval of the pumped storage power station is set;
respectively representing the upper limit and the lower limit of the upper storage capacity of the pumped storage power station;
and
the water quantity/electric quantity conversion coefficient under the working condition of pumping water or generating electricity;
and
scheduling the storage capacity of an upper reservoir at the beginning and the end of a day for the pumped storage power station; because the lower reservoir capacity is larger, the constraint of the upper reservoir capacity is consistent with the constraint of the lower reservoir capacity, so that the lower reservoir is not required to be constrained;
7) Spinning standby trusted opportunity constraints
In order to fully ensure the operation flexibility of the system, various resources are required to be allocated as rotary standby for responding to the random fluctuation of the net load; the main rotary standby is derived from a carbon capture power plant, a conventional thermal power unit and a pumped storage unit, and is divided into upper rotary standby constraint and lower rotary standby constraint, and calculation is carried out according to the push-out formulas (35) and (36);
in the formula:
for clear equivalence of the t-period payload, P t su And P t sd Calculating the available up/down rotation reserve in the day-ahead dispatching of the pumped storage power station according to an equation (37) and an equation (38):
the intraday rolling optimization scheduling constraint condition is as follows:
in addition to power balance constraint, thermal power unit output constraint and carbon capture system constraint, the intraday rolling optimization scheduling constraint conditions need to be adjusted along with reduction of time scale;
1) Slope climbing restraint of thermal power generating unit in day
2) Pumped storage operating mode conversion constraint
The work condition conversion in the rolling scheduling in the day needs to meet the constraint:
3) Day spin standby creditability opportunity constraints
The day-in rotation reserve is similar to that before the day, but the climbing speed in the constraint needs to be updated from an hour level to a 15min level, and the up/down rotation reserve which can be provided by the pumped storage also needs to be correspondingly adjusted and is calculated according to an equation (41) and an equation (42); specific constraints are not described in detail;
9. the power system low-carbon economic dispatching strategy based on combined operation of the carbon capture power plant and the pumped storage is characterized in that: the solution model method is as follows:
solving fuzzy chance constraint: when the confidence level alpha is more than or equal to 0.5, the clear equivalence of the trapezoidal fuzzy parameter of the net load is as follows:
P Fi,t ＝k Fi P F,t i＝1,2,3,4 (42)
in the formula: f stands for load, wind and photovoltaic, P Fi,t For respective blur parameters, k Fi Is a membership parameter;
the future rotating standby fuzzy opportunity constraint is solved in a clear equivalence mode as follows; intra-day scheduling rotation standby constraints are similar;
meanwhile, due to the fact that a scheduling model for flexibly operating the carbon capture power plant and the pumped storage combined is complex, multiple in variable and difficult to linearize; solving by adopting an Improved Particle Swarm Optimization (IPSO); the proposed IPSO overcomes the premature convergence in the traditional PSO iteration process and solves the problem of premature convergence; inertia weight, self and social learning factors are improved to improve convergence speed and avoid local optimization;
first, introducing a compression factor into the inertial weight, the velocity and position of particle i are updated as follows:
in the formula: w is the inertial weight;
is the flying speed;
is a group position; c. C 1 、c 2 Are self and social learning factors;
individual and global optimal locations; r is a radical of hydrogen 1 And r 2 Is a random number between (0,1);
using a nonlinear inverse cosine acceleration pair c 1 、c 2 Self-adaptive time-varying adjustment is carried out, individual historical information is emphasized at the initial stage of particle flight, and global experience is emphasized at the later stage; the improvement is as follows:
in the formula: c. C 11 、c 21 、c 12 、c 22 For initial and final values of the iteration, 2.5, 0.5, B,2.5; t is the current iteration number; and T is the maximum value of the iteration times.
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|---|---|---|---|---|
| CN116544955A (en) * | 2023-07-03 | 2023-08-04 | 阳光慧碳科技有限公司 | Load regulation and control method, device and system |
| CN116608078A (en) * | 2023-05-22 | 2023-08-18 | 中国矿业大学 | Mine high-quality energy-resource cooperative output system and method based on clean energy |
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2022
- 2022-06-02 CN CN202210629694.XA patent/CN115471031A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116608078A (en) * | 2023-05-22 | 2023-08-18 | 中国矿业大学 | Mine high-quality energy-resource cooperative output system and method based on clean energy |
| CN116608078B (en) * | 2023-05-22 | 2024-04-30 | 中国矿业大学 | Mine high-quality energy-resource cooperative output system and method based on clean energy |
| CN116544955A (en) * | 2023-07-03 | 2023-08-04 | 阳光慧碳科技有限公司 | Load regulation and control method, device and system |
| CN116544955B (en) * | 2023-07-03 | 2023-11-24 | 阳光慧碳科技有限公司 | Load regulation and control method, device and system |
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