CN115940220A - Dispatching method and power grid partition configuration method based on photovoltaic-mountain gravity energy storage combined power generation system - Google Patents
Dispatching method and power grid partition configuration method based on photovoltaic-mountain gravity energy storage combined power generation system Download PDFInfo
- Publication number
- CN115940220A CN115940220A CN202211374158.6A CN202211374158A CN115940220A CN 115940220 A CN115940220 A CN 115940220A CN 202211374158 A CN202211374158 A CN 202211374158A CN 115940220 A CN115940220 A CN 115940220A
- Authority
- CN
- China
- Prior art keywords
- energy storage
- photovoltaic
- mountain
- power
- gravity energy
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004146 energy storage Methods 0.000 title claims abstract description 137
- 230000005484 gravity Effects 0.000 title claims abstract description 91
- 238000010248 power generation Methods 0.000 title claims abstract description 64
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000005192 partition Methods 0.000 title claims abstract description 22
- 238000005457 optimization Methods 0.000 claims abstract description 19
- 238000009434 installation Methods 0.000 claims description 18
- 230000005611 electricity Effects 0.000 claims description 9
- 230000002068 genetic effect Effects 0.000 claims description 8
- 230000003993 interaction Effects 0.000 claims description 8
- 238000012423 maintenance Methods 0.000 claims description 6
- 230000002452 interceptive effect Effects 0.000 claims description 3
- 239000000463 material Substances 0.000 claims description 3
- 238000011084 recovery Methods 0.000 claims description 3
- 238000000638 solvent extraction Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 description 5
- 230000008859 change Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000005381 potential energy Methods 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 229910052731 fluorine Inorganic materials 0.000 description 1
- 125000001153 fluoro group Chemical group F* 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 230000001932 seasonal effect Effects 0.000 description 1
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
Landscapes
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a photovoltaic-mountain gravity energy storage combined power generation system-based scheduling method and a power grid partition configuration method, and belongs to the field of power facility and power grid optimization. The photovoltaic-mountain gravity energy storage combined power generation system comprises a photovoltaic power station and a mountain gravity energy storage device, and the scheduling method comprises the following steps: when the unbalanced electric quantity delta P (t) at the moment t is larger than 0, the mountain gravity energy storage device works in an energy storage mode to charge, and when the energy storage of the mountain gravity energy storage device reaches a capacity limit value, surplus electric quantity is sold to the main network through a PCC (point-of-charge controller) point; when the unbalanced electric quantity is less than 0, the output of the photovoltaic power station is insufficient, the mountain gravity energy storage device discharges in an energy release mode, and after the discharge electrode limit is reached, the insufficient electric quantity is purchased to the main network through a PCC (point-of-charge controller) point; a photovoltaic power station and gravity energy storage are combined to form a combined power generation system, and the problem of insufficient power supply of a power grid and users in a mountain area is solved by setting a scheduling strategy and a planning method.
Description
Technical Field
The invention relates to the field of power facility and power grid optimization, in particular to a scheduling method and a power grid partition configuration method based on a photovoltaic-mountain gravity energy storage combined power generation system.
Background
With the outstanding problem of energy crisis, solar power generation has become an important development trend, and the installed capacity of a household photovoltaic grid-connected grid is on the rapid increase trend in recent years. On the other hand, gravity energy storage is a new energy storage technology which is more and more widely concerned in recent years. For building a photovoltaic power station in a mountain area, although the problem that the power supply capacity of a mountain area power grid to users in the mountain area is insufficient can be effectively solved, due to the fact that the users have the characteristics of randomness and volatility, the proportion of the users in the power station continuously rises, and the problems can have great influence on the safety, stability and economic operation of a power distribution network and are mainly reflected in the aspects of out-of-limit of the voltage of the power grid, power reverse transmission, line overload and the like. In addition, at night load peak time, photovoltaic power generation can not output power, so that the problem of power utilization of mountain users can not be effectively solved. The problem can be effectively solved by reasonably installing energy storage equipment to participate in power grid dispatching, but the traditional energy storage device and the power grid are excessively high in overall communication cost, so that the economy is reduced.
Disclosure of Invention
In view of the defects of the prior art, the invention provides a scheduling method and a power grid partition configuration method based on a photovoltaic-mountain gravity energy storage combined power generation system, wherein a photovoltaic power station and gravity energy storage are combined to form the combined power generation system, and the problem of insufficient power supply of a mountain power grid and mountain users is solved by setting a scheduling strategy and a planning method.
The invention provides a scheduling method based on a photovoltaic-mountain gravity energy storage combined power generation system, wherein the photovoltaic-mountain gravity energy storage combined power generation system comprises a photovoltaic power station and a mountain gravity energy storage device, and the scheduling method comprises the following steps:
when the output and load data of the photovoltaic power station at the moment t are calculated, the unbalanced electric quantity delta P (t) is as follows:
ΔP(t)＝P pv (t)-P load (t)；
wherein, P pv (t) is the photovoltaic power station output at time t, P load (t) is the load demand at time t;
when the unbalanced electric quantity delta P (t) > 0, the mountain gravity energy storage device works in an energy storage mode to charge, and when the energy storage of the mountain gravity energy storage device reaches a capacity limit value, surplus electric quantity is sold to the main network through a PCC (point-of-charge controller) point according to the following formula;
P sell (t)＝ΔP(t)-P s (t)；
when the unbalanced electric quantity delta P (t) is less than 0, the output of the photovoltaic power station is insufficient, the mountain gravity energy storage device discharges in an energy release mode, and after the discharge electrode limit is reached, the shortage electric quantity is purchased to the main network through a PCC (point-of-charge controller) point according to the following formula;
P buy (t)＝|ΔP(t)|-P g (t)；
P sell (t) and P buy (t) power purchase and power sale at moment t of PCC point, P s (t)、P g And (t) respectively representing rated charging power and rated generating power of the mountain gravity energy storage device at the moment t.
The invention provides a power grid partition configuration method based on a photovoltaic-mountain gravity energy storage combined power generation system, which comprises the following steps:
establishing a target function and a constraint condition according to related data of the photovoltaic-mountain gravity energy storage combined power generation system, and establishing a configuration optimization model according to the table function and the constraint condition; the objective function comprises a daily investment operation cost function of the photovoltaic-mountain gravity energy storage combined power generation system and a reliability function of the photovoltaic-mountain gravity energy storage combined power generation system in a region;
and solving the configuration optimization model through a genetic algorithm to obtain an optimal configuration scheme.
Further, the daily investment and operation cost function of the photovoltaic-mountain gravity energy storage combined power generation system is as follows:
minF C (x i )＝(f 1 +f 2 +f 3 )+(f 4 +f 5 -f 6 )；
wherein, x in the formula i Representing variables to be optimized, i.e.
Wherein N is pv Is the photovoltaic number; h is the energy storage height; m is the mass of the gravity energy storage object block; n is a radical of an alkyl radical m The number of the material blocks; n is r The number of tracks; n is z Breaking points for the planned power grid;
P s N The gravity energy storage rated power generation power and the rated charging power;
Is the energy storage system capacity;
The upper limit of electricity purchasing power and the upper limit of electricity selling power of the PCC points are indicated;
f 1 、f 2 、f 3 the initial installation cost, the operation maintenance cost and the replacement cost of the photovoltaic-mountain gravity energy storage combined power generation system are respectively set; f. of 4 、f 5 、f 6 Respectively the energy interaction cost, the energy storage electric quantity control cost and the new energy subsidy income.
Further, the initial installation cost, the operation maintenance cost and the replacement cost of the photovoltaic-mountain gravity energy storage combined power generation system are respectively as follows:
z(r,l)＝r(1+r) l /((1+r) l -1)；
wherein z is a cost recovery function, r is a discount rate, and l is the service life of equipment;z rep as a capital debt compensation factor,/ rep The equipment remanufacturing age limit; c GBESS Is the installation cost of the gravity energy storage equipment; c pv Installation cost of photovoltaic apparatus, C rb 、C rpv Installation cost of energy storage and photovoltaic equipment, C gr 、C sr And replacing cost of the generator and the motor.
Further, the energy interaction cost, the energy storage electric quantity control cost and the new energy subsidy income are respectively as follows:
in the formula, C buy (t)、C sell (t) the price of electricity purchased and sold at the moment t; p buy (t)、P sell (t) purchasing and selling power at time t; p g (t) and P s (t) respectively representing the discharge power and the charging power of the energy storage system at the moment t; gamma is an electric quantity control coefficient;
P pv (t) is the actual output of the photovoltaic power station at the moment t, and comprises the following steps:
P pv (t)＝P′ pv (t)+ε pv (t)；
P′ pv (t) predicted output at time t of photovoltaic power station, ε pv (t) is the standard deviation of the output error of the photovoltaic power station at the moment t;
further, the reliability function of the photovoltaic-mountain gravity energy storage combined power generation system in the region is as follows:
in the formula, E self,i Power supply per se in the i-th subarea of the grid, E total,i The load demand of the power grid in the partition I is self-load demand.
Further, the constraint conditions comprise a power balance constraint condition, a power output and interaction power constraint condition and a capacity configuration constraint condition;
the power balance constraint conditions are as follows:
N pv P pv (t)+P g (t)+P buy (t)＝P load (t)+P selll (t)+P s (t)；
wherein, P load (t) is the actual load demand of the photovoltaic power station at the moment t, and comprises the following steps:
P load (t)＝P′ load (t)+ε load (t)；
wherein σ load (t) is the standard deviation of the load demand error, which is:
σ load (t)＝0.04×P load (t)；
the power output and interactive power constraint conditions are as follows:
the capacity configuration constraint conditions are as follows:
h min ≤h≤h max ；
θ min ≤θ≤θ max ；
N pv ,N wt ,n m ,n rail ,n z ∈N；
in the formula, N is a non-negative integer set; r is a real number set; h is max The maximum height for the gravity energy storage installation of the mountain; theta max Is the maximum tilt angle.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the invention, the photovoltaic power station arranged in the mountainous area is combined with the gravity energy storage device, the gravity energy storage device is built by utilizing the natural advantages of the landform of the mountainous area, the working principle of gravity energy storage is combined with the geographical characteristics of photovoltaic power generation of the mountainous area, the problems of insufficient power supply of the mountainous area and overhigh cost of energy storage equipment and line laying are solved, the power consumption quality of users in the mountainous area is improved, and meanwhile, the users can participate in higher-level power grid dispatching.
2. According to the dispatching method disclosed by the invention, the utilization efficiency of the photovoltaic power station can be improved by combining the gravity energy storage device according to the advantages and the disadvantages of the photovoltaic power station, and the problem that the photovoltaic power station cannot meet the demand of the night power utilization peak in the mountainous area is solved.
3. The optimal configuration method for the photovoltaic-mountainous area gravity energy storage power generation system considers relevant uncertain factors of a photovoltaic power station and communication cost of global regulation, participates in power grid dispatching through gravity energy storage on the premise of ensuring relatively highest utilization rate of photovoltaic and gravity energy storage equipment in a subarea, takes an economic target and a reliability target of the power grid subarea as a target function together, sets relevant constraint conditions, and builds a configuration optimization model. The optimal configuration scheme is obtained by solving the configuration optimization model, the photovoltaic resources and the energy storage equipment of the power grid can be fully utilized, and the control cost is reduced.
The conception, the specific structure and the technical effects of the present invention will be further described with reference to the accompanying drawings to fully understand the objects, the features and the effects of the present invention.
Drawings
Fig. 1 is a schematic structural diagram of a photovoltaic-mountain gravity energy storage combined power generation system according to an embodiment of the present invention;
fig. 2 is a control schematic diagram of a mountain gravity energy storage device according to an embodiment of the present invention;
FIG. 3 is a flow chart of a method for solving a configuration optimization model using a genetic algorithm according to an embodiment of the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the drawings only show the components related to the present invention rather than the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
Some exemplary embodiments of the invention have been described for illustrative purposes, and it is to be understood that the invention may be practiced otherwise than as specifically described.
In a specific embodiment, a scheduling method based on a photovoltaic-mountain gravity energy storage combined power generation system is provided, where the photovoltaic-mountain gravity energy storage combined power generation system includes a photovoltaic power station and a mountain gravity energy storage device, as shown in fig. 1. The basic principle of the photovoltaic-mountain gravity energy storage device in the embodiment is as follows: the change of gravitational potential energy is obtained by the altitude difference of the mountain, and the mechanical energy generated in the process of transporting the heavy blocks is converted into electric energy by the generator and the motor. The main structure of the invention is shown in the attached figure 1, and comprises six parts: the system comprises a high-altitude energy storage device, a low-altitude energy storage device, a running track, a mountain photovoltaic power station, a superior power grid and mountain power grid users.
As shown in fig. 2, which is an energy conversion schematic diagram of a photovoltaic-mountain gravity energy storage system, the problem that the power supply capacity of a power grid to users in a mountain area is insufficient is always a common problem, the photovoltaic power generation in the mountain area is intermittent, when the photovoltaic output is large in the daytime, the power generation power is larger than the power load power of the users in the area, and at this time, the device enters an energy storage mode. When the energy storage mode is in operation, the photovoltaic power station provides electric energy to drive the high-altitude energy storage device to drag the motor, and the standard weight block positioned on the low-altitude energy storage device is lifted at a constant speed along the track. The time is adjusted by controlling the running speed through a fixed motor and a transmission system, and the electric energy generated by the photovoltaic device is converted into high-quality potential mechanical energy. When photovoltaic power generation does not output power at night, the area generates a power utilization notch, and the device enters a power generation mode at the moment. When the power generation mode is operated, the weight is placed down by the high-altitude energy storage platform, mechanical energy is generated by applying work through the gravity in the uniform-speed descending process, the generator located on the high-altitude platform is driven, the mechanical energy is converted back into electric energy, and the power utilization requirement of users in the area is met. The photovoltaic-gravity energy storage combined power generation system can have a flexible power supply interval of 5 minutes to 6 hours, the capacity of the energy storage device is determined by the number and the mass of the objects, the height of the device and the slope of the mountain, and a track building scheme can be made according to the specific landform condition of the mountain. According to local conditions in a mountain photovoltaic power generation area, the photovoltaic-mountain gravity energy storage combined power generation system obtains the change of gravitational potential energy through altitude difference, and mechanical energy generated in the process of transporting the heavy blocks is converted into electric energy by using the generator and the motor. The energy storage device can provide electric energy for users in the region at night and can also participate in power grid dispatching. Compared with the traditional energy storage device and photovoltaic combined use, the power utilization quality of mountain users can be effectively improved while the line laying cost is reduced.
Based on the principle, the scheduling method of the combined power generation system based on the photoelectricity-mountain gravity energy storage in the embodiment comprises the following steps:
in order to improve the photovoltaic utilization rate, wind power photovoltaic power generation is preferentially used, and unbalanced electric quantity delta P (t) at the t moment is calculated according to photovoltaic output and load data of a dispatching center as follows:
ΔP(t)＝P pv (t)-P load (t)；
wherein, P pv (t) is the photovoltaic power station output at time t, P load (t) is the load demand at time t;
when the unbalanced electric quantity delta P (t) is greater than 0, the mountain gravity energy storage device works in an energy storage mode to charge, and when the energy storage of the mountain gravity energy storage device reaches a capacity limit value, surplus electric quantity is sold to the main network through a PCC (point of charge controller) point according to the following formula;
P sell (t)＝ΔP(t)-P s (t)；
when the unbalanced electric quantity delta P (t) is less than 0, the output of the photovoltaic power station is insufficient, the mountain gravity energy storage device discharges in an energy release mode, and after the discharge electrode limit is reached, the shortage electric quantity is purchased to the main network through a PCC (point-of-charge controller) point according to the following formula;
P buy (t)＝|ΔP(t)|-P g (t)；
P sell (t) and P buy (t) power purchase and power sale at moment t of PCC point, P s (t)、P g And (t) respectively setting the rated charging power and the rated generating power of the mountain gravity energy storage device at the moment t.
No matter the energy storage mode and the power generation mode, the energy storage device can participate in system scheduling according to the operation condition of a superior power grid on the premise of meeting the requirements of storing the surplus electric quantity of local photovoltaic power generation and the power consumption of users at night.
With the gradual increase of the permeability of sub-photovoltaic, the power grid structure is gradually complicated, and the requirement on electric energy dispatching is higher and higher. Aiming at the complexity problem of photovoltaic access to a power grid in the future and the problem of overhigh cost of the existing energy storage technology, and combining the advantages of power grid partition energy storage scheduling, the embodiment establishes a photovoltaic-mountain gravity energy storage combined structure based on the topographic features of partial photovoltaic power generation, and provides a power grid partition configuration method based on a photovoltaic-mountain gravity energy storage combined power generation system by considering the influence factors of seasonal weather changes of a photovoltaic output scene, which comprises the following steps:
s1, establishing a target function and a constraint condition according to related data of a photovoltaic-mountain gravity energy storage combined power generation system, and establishing a configuration optimization model according to the table function and the constraint condition; the objective function comprises a daily investment operation cost function of the photovoltaic-mountain gravity energy storage combined power generation system and a reliability function of the photovoltaic-mountain gravity energy storage combined power generation system in a region;
in the embodiment, the economic target is taken as a target function, the economic optimization target mainly considers two aspects of investment and operation, and the daily investment operation minimum cost function minF of the photovoltaic-mountain gravity energy storage combined power generation system C (x i ) The method comprises two parts of investment and operation cost, and comprises the following steps:
minF C (x i )＝(f 1 +f 2 +f 3 )+(f 4 +f 5 -f 6 )；
wherein f is 1 、f 2 、f 3 The initial installation cost, the operation maintenance cost and the replacement cost of the photovoltaic-mountain gravity energy storage combined power generation system are respectively set; f. of 4 、f 5 、f 6 Respectively subsidizing the energy interaction cost, the energy storage electric quantity control cost and the new energy source income; x is a radical of a fluorine atom i Representing variables to be optimized, i.e.
Wherein, N pv Is the photovoltaic number; h is the energy storage height; m is the mass of the gravity energy storage object block; n is a radical of an alkyl radical m The number of the material blocks; n is r Is the number of tracks; n is a radical of an alkyl radical z Partitioning breakpoints for the planned power grid;
P s N The gravity energy storage rated power generation power and the rated charging power;
Is the energy storage system capacity;
Refers to the upper limit of electricity purchasing power and the upper limit of electricity selling power of the PCC points, N represents a set, and the gravity energy storage device has N types and corresponds to workThe rates are different.
The initial installation cost, the operation maintenance cost and the replacement cost of the photovoltaic-mountain gravity energy storage combined power generation system are respectively as follows:
z(r,l)＝r(1+r) l /((1+r) l -1)；
wherein z is a cost recovery function, r is a discount rate, and l is the service life of equipment; z is a radical of rep As a capital debt compensation factor,/ rep The equipment remanufacturing age limit; c GBESS Is the installation cost of the gravity energy storage equipment; c pv Installation cost of photovoltaic apparatus, C rb 、C rpv Installation cost of energy storage and photovoltaic equipment, C gr 、C sr The cost of the generator and the motor is replaced.
The energy interaction cost, the energy storage electric quantity control cost and the new energy subsidy income are respectively as follows:
in the formula, C buy (t)、C sell (t) the price of electricity purchased and sold at the moment t; p buy (t)、P sell (t) purchasing and selling power at time t; p g (t) and P s (t) respectively representing the discharge power and the charging power of the energy storage system at the moment t; gamma is an electric quantity control coefficient; and lambda is a new energy subsidy income proportional coefficient, and the new energy subsidy income needs to be calculated according to the new energy generated energy and the proportion.
A plurality of uncertain factors exist in the operation process of the power grid, and one uncertain factor in the embodiment is the output prediction error of the photovoltaic power station. Actual photovoltaic output P pv (t) may consist of the predicted contribution and error as:
P pv (t)＝P′ pv (t)+ε pv (t)；
P′ pv (t) predicted output at time t of photovoltaic power station, ε pv (t) is the standard deviation of the output error of the photovoltaic power station at the moment t;
in the partition configuration strategy of the embodiment, a reliability function is established for optimizing and obtaining the optimal partition breakpoint selection on the basis of improving the utilization rate of new energy in the partition as much as possible under the coordination of the energy storage device.
The intra-area self-balancing rate is the adaptive relation between the power supplied by the intra-area self and the load demand in the area, the change of the value reflects the degree of dependence on a superior main network when the micro-grid operates, the higher the value is, the smaller the dependence is, and the stronger the independent operation capability is. The better the partitioning scheme of the power grid is proved, so that the reliability function of the photovoltaic-mountain gravity energy storage combined power generation system in the area in the embodiment is a self-balancing rate, and is as follows:
in the formula, E self,i Power supply of the power grid in the i-th subarea, E total,i And the load of the district of the No. i subarea of the power grid is required.
The constraint conditions in this embodiment include a power balance constraint condition and a capacity configuration constraint condition;
the power balance constraint conditions are as follows:
N pv P pv (t)+P g (t)+P buy (t)＝P load (t)+P selll (t)+P s (t)；
wherein, P load (t) is the actual load demand of the photovoltaic power station at the moment t, and comprises the following steps:
P load (t)＝P′ load (t)+ε load (t)；
wherein σ load (t) is the standard deviation of the load demand error, which is:
σ load (t)＝0.04×P load (t)；
the power output and interactive power constraint conditions are as follows:
the capacity configuration constraint conditions are as follows:
h min ≤h≤h max ；
θ min ≤θ≤θ max ；
N pv ,N wt ,n m ,n rail ,n z ∈N；
in the formula, N is a non-negative integer set; r is a real number set; h is max The maximum height for the gravity energy storage installation of the mountain; theta max Is the maximum tilt angle.
And S2, solving the configuration optimization model through a genetic algorithm to obtain an optimal configuration scheme.
The genetic algorithm adopted in this embodiment is shown in fig. 3, and the process of solving the configuration optimization model by the genetic algorithm includes:
s21, initializing an optimization variable x i Said optimization variable x i Is composed of
Setting the maximum iteration times T, the maximum partition number, the variation rate and the cross rate;
s22, taking the objective function in the configuration optimization model as a fitness function, namely daily investment operation cost and intra-area self-balancing rate;
s23, after each individual in the initial population is selected, crossed and mutated, a new generation population is generated;
s24, calculating the fitness of the new generation group;
s25, judging whether the maximum iteration number T is reached, if so, executing a step S26, and if not, executing a step S23;
s26, outputting all corresponding optimization results under the partition interval point number;
s27, judging whether the preset maximum partition number is reached, if so, outputting all parameter configuration schemes to further obtain an optimal configuration scheme, and if not, executing the step S28;
and S28, repeatedly executing the step of initializing the optimization variables in the step S21.
The genetic algorithm adopted by the solving method for the configuration optimization model in the embodiment may be a basic genetic algorithm, and other model solving algorithms in the prior art may also be adopted for solving, and as this part is not the key point of the present application, it is not described herein again.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Those skilled in the art can modify or change the above-described embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which may be made by those skilled in the art without departing from the spirit and scope of the present invention as defined in the appended claims.
Claims (7)
1. A scheduling method based on a photovoltaic-mountain gravity energy storage combined power generation system is characterized in that the photovoltaic-mountain gravity energy storage combined power generation system comprises a photovoltaic power station and a mountain gravity energy storage device, and the scheduling method comprises the following steps:
when the output and load data of the photovoltaic power station at the moment t are calculated, the unbalanced electric quantity delta P (t) is as follows:
ΔP(t)＝P pv (t)-P load (t)；
wherein, P pv (t) is the photovoltaic power station output at time t, P load (t) load demand at time t;
when the unbalanced electric quantity delta P (t) > 0, the mountain gravity energy storage device works in an energy storage mode to charge, and when the energy storage of the mountain gravity energy storage device reaches a capacity limit value, surplus electric quantity is sold to the main network through a PCC (point-of-charge controller) point according to the following formula;
P sell (t)＝ΔP(t)-P s (t)；
when the unbalanced electric quantity delta P (t) is less than 0, the output of the photovoltaic power station is insufficient, the mountain gravity energy storage device discharges in an energy release mode, and after the discharge electrode limit is reached, the shortage electric quantity is purchased to the main network through a PCC (point-of-charge controller) point according to the following formula;
P buy (t)＝|ΔP(t)|-P g (t)；
P sell (t) and P buy (t) power purchase and power sale at the moment of PCC point t, P s (t)、P g And (t) respectively representing rated charging power and rated generating power of the mountain gravity energy storage device at the moment t.
2. A power grid partition configuration method based on a photovoltaic-mountain gravity energy storage combined power generation system is characterized by comprising the following steps:
establishing a target function and a constraint condition according to relevant data of the photovoltaic-mountain gravity energy storage combined power generation system, and establishing a configuration optimization model according to the table function and the constraint condition; the target function comprises a daily investment operation cost function of the photovoltaic-mountain gravity energy storage combined power generation system and a reliability function of the photovoltaic-mountain gravity energy storage combined power generation system in the region;
and solving the configuration optimization model through a genetic algorithm to obtain an optimal configuration scheme.
3. The power grid partition configuration method based on the photovoltaic-mountain gravity energy storage combined power generation system according to claim 2, wherein a daily investment operation cost function of the photovoltaic-mountain gravity energy storage combined power generation system is as follows:
minF C (x i )＝(f 1 +f 2 +f 3 )+(f 4 +f 5 -f 6 )；
wherein, x in the formula i Representing variables to be optimized, i.e.
Wherein N is pv Is the photovoltaic number; h is the energy storage height; m is the mass of the gravity energy storage object block; n is a radical of an alkyl radical m The number of the material blocks; n is a radical of an alkyl radical r The number of tracks; n is z Partitioning breakpoints for the planned power grid;
P s N The gravity energy storage rated power generation power and the rated charging power;
Is the energy storage system capacity;
the upper limit of electricity purchasing power and the upper limit of electricity selling power of the PCC points are indicated;
f 1 、f 2 、f 3 the initial installation cost, the operation maintenance cost and the replacement cost of the photovoltaic-mountain gravity energy storage combined power generation system are respectively set; f. of 4 、f 5 、f 6 Respectively subsidizing the benefits for the energy interaction cost, the energy storage electric quantity control cost and the new energy.
4. The power grid partition configuration method based on the photovoltaic-mountain gravity energy storage combined power generation system as claimed in claim 3, wherein the initial installation cost, the operation maintenance cost and the replacement cost of the photovoltaic-mountain gravity energy storage combined power generation system are respectively:
z(r,l)＝r(1+r) l /((1+r) l -1)；
wherein z is a cost recovery function, r is a discount rate, and l is the service life of equipment; z is a radical of formula rep As a capital debt coefficient, l rep The equipment remanufacturing age limit; c GBESS Is the installation cost of the gravity energy storage equipment; c pv Installation cost of photovoltaic apparatus, C rb 、C rpv Installation cost of energy storage and photovoltaic equipment, C gr 、C sr The cost of the generator and the motor is replaced.
5. The power grid partition configuration method based on the photovoltaic-mountain gravity energy storage combined power generation system as claimed in claim 3, wherein the energy interaction cost, the energy storage electric quantity control cost and the new energy subsidy profit are respectively as follows:
in the formula, C buy (t)、C sell (t) the price of electricity purchased and sold at the moment t; p buy (t)、P sell (t) purchasing and selling power at time t; p g (t) and P s (t) respectively obtaining discharge power and charging power of the energy storage system at the moment t; gamma is an electric quantity control coefficient;
P pv (t) is the actual output of the photovoltaic power station at the moment t, and comprises the following steps:
P pv (t)＝P′ pv (t)+ε pv (t)；
P′ pv (t) predicted output at time t of photovoltaic power station, ε pv (t) is the standard deviation of the output error of the photovoltaic power station at the moment t;
6. the power grid partition configuration method based on the photovoltaic-mountain gravity energy storage combined power generation system according to claim 3, wherein the reliability function of the photovoltaic-mountain gravity energy storage combined power generation system in the region is as follows:
in the formula, E self,i Power supply per se in the i-th subarea of the grid, E total,i The load demand of the power grid in the partition I is self-load demand.
7. The power grid partition configuration method based on the photovoltaic-mountain gravity energy storage combined power generation system, according to claim 2, wherein the constraint conditions include a power balance constraint condition, a power output and interaction power constraint condition, and a capacity configuration constraint condition;
the power balance constraint conditions are as follows:
N pv P pv (t)+P g (t)+P buy (t)＝P load (t)+P selll (t)+P s (t)；
wherein, P load (t) is the actual load demand of the photovoltaic power station at the moment t, and comprises the following steps:
P load (t)＝P′ load (t)+ε load (t)；
wherein σ load (t) is the standard deviation of the load demand error, which is:
σ load (t)＝0.04×P load (t)；
the constraint conditions of the power output and the interactive power are as follows:
the capacity configuration constraint conditions are as follows:
h min ≤h≤h max ；
θ min ≤θ≤θ max ；
N pv ,N wt ,n m ,n rail ,n z ∈N；
in the formula, N is a non-negative integer set; r is a real number set; h is max The maximum height for the gravity energy storage installation of the mountain; theta max Is the maximum tilt angle.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211374158.6A CN115940220A (en) | 2022-11-03 | 2022-11-03 | Dispatching method and power grid partition configuration method based on photovoltaic-mountain gravity energy storage combined power generation system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211374158.6A CN115940220A (en) | 2022-11-03 | 2022-11-03 | Dispatching method and power grid partition configuration method based on photovoltaic-mountain gravity energy storage combined power generation system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115940220A true CN115940220A (en) | 2023-04-07 |
Family
ID=86698363
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211374158.6A Pending CN115940220A (en) | 2022-11-03 | 2022-11-03 | Dispatching method and power grid partition configuration method based on photovoltaic-mountain gravity energy storage combined power generation system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115940220A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118137536A (en) * | 2024-02-26 | 2024-06-04 | 北京金思易达新能源科技有限公司 | Gravity energy storage device and power generation system based on abandoned oil gas water well group |
-
2022
- 2022-11-03 CN CN202211374158.6A patent/CN115940220A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118137536A (en) * | 2024-02-26 | 2024-06-04 | 北京金思易达新能源科技有限公司 | Gravity energy storage device and power generation system based on abandoned oil gas water well group |
| CN118137536B (en) * | 2024-02-26 | 2024-08-09 | 北京金思易达新能源科技有限公司 | Gravity energy storage device and power generation system based on abandoned oil gas water well group |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106160091B (en) | Promote the electric automobile charging station charge and discharge dispatching method of regenerative resource consumption | |
| CN107248751A (en) | A kind of energy storage station dispatch control method for realizing distribution network load power peak load shifting | |
| CN109325608A (en) | Consider the distributed generation resource Optimal Configuration Method of energy storage and meter and photovoltaic randomness | |
| CN109149651B (en) | Optimal operation method of light storage system considering voltage-regulating auxiliary service income | |
| CN110336274B (en) | Virtual power plant operation method with additional virtual power plant regulator | |
| CN115995850B (en) | Collaborative scheduling optimization method and device for virtual power plant group | |
| CN111786422B (en) | Real-time optimization scheduling method for participating in upper-layer power grid by micro-power grid based on BP neural network | |
| CN116231765B (en) | Virtual power plant output control method | |
| CN110247392B (en) | Multi-standby resource robust optimization method considering wind power standby capacity and demand side response | |
| CN109842140A (en) | High-voltage distribution network peak load balances intelligent management-control method | |
| CN115147245B (en) | Virtual power plant optimal scheduling method for industrial load participating in peak shaving auxiliary service | |
| CN112366684A (en) | Island micro-grid system | |
| CN115360734A (en) | Distributed energy storage capacity configuration method and device considering light and load multiple scenes | |
| CN111555366A (en) | Multi-time scale-based microgrid three-layer energy optimization management method | |
| CN116014797A (en) | Evaluation method for improving new energy acceptance capacity of distribution network | |
| CN115940220A (en) | Dispatching method and power grid partition configuration method based on photovoltaic-mountain gravity energy storage combined power generation system | |
| CN116599148A (en) | Hydrogen-electricity hybrid energy storage two-stage collaborative planning method for new energy consumption | |
| CN105574681A (en) | Multi-time-scale community energy local area network energy scheduling method | |
| CN114465226A (en) | Method for establishing multi-level standby acquisition joint optimization model of power system | |
| CN113394808A (en) | Power generation scheduling method and device for clean energy base | |
| CN116961008A (en) | Micro-grid capacity double-layer optimization method considering power spring and load demand response | |
| CN114188980B (en) | Transparent micro-grid group economic operation domain generation method considering energy storage device | |
| CN116050865A (en) | Planning method for hydrogen energy storage power station under seasonal time scale | |
| CN115293644A (en) | Hybrid time scale hydrogen-electricity combined energy storage system planning method and system | |
| CN112561120B (en) | Microgrid-based optimized operation method for day-ahead market clearing system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |