CN109888830A - A kind of stored energy capacitance Optimal Configuration Method adapting to extensive new-energy grid-connected consumption - Google Patents
A kind of stored energy capacitance Optimal Configuration Method adapting to extensive new-energy grid-connected consumption Download PDFInfo
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Abstract
It comprises determining that regional power grid calculating parameter the invention discloses a kind of stored energy capacitance Optimal Configuration Method for adapting to extensive new-energy grid-connected consumption and generates new energy and be obstructed regional gather；Determine regional power grid energy storage initial configuration scale and its relevant parameter；Establish Optimal Operation Model；Determine that current new energy is obstructed area power grid new energy maximum consumption amount；It updates energy storage and configures scale optimization section；Judge whether to need to update system stored energy configuration scale, if desired, update system stored energy and configure scale, and redefine current new energy and be obstructed area power grid new energy maximum consumption amount；If not needing, judge whether set traverses, if set has traversed, it is determined that and export energy storage inverter power, battery capacity and configuration energy storage investment cost and redefine current new energy if not traversing completely and be obstructed area power grid new energy maximum consumption amount.The present invention determines the rational capacity that energy storage configures in system under big regional environment and big time scale.
Description
Technical field
The present invention relates to the technology neighborhoods of Power System Analysis, and in particular to one kind answers extensive new-energy grid-connected consumption item
The method of stored energy capacitance reasonable disposition under part.
Background technique
With gradually going deep into for smart grid construction, new energy technology (such as wind-powered electricity generation and photovoltaic) also obtains faster hair
Exhibition.Due to new energy unit capacity construction cost rapid decrease, the installed capacity of new energy unit is in total installation of generating capacity in system
In specific gravity it is higher and higher, however new energy power supply power output has the characteristics that randomness and fluctuation, and new energy contribute it is anti-
Peak-shaving capability is obvious, and after new energy accesses power grid on a large scale, no small challenge can be brought to safe operation of power system.Especially
Big in new energy amount and when system consumption insufficient space, the power balance of system is maintained often through " abandonment " " abandoning light ".
With the foundation of the rapid growth and a wide range of transregional transmission of electricity pattern of China's generation of electricity by new energy scale, power grid is for alleviating peak regulation
The demands such as pressure, raising stand by margin, reduction Network congestion and the transregional channel conveying capacity of promotion are increasingly prominent.
Important technology scheme of the energy storage technology as the reply above problem, has broad application prospects.Since energy storage has
There is the characteristic of fast charging and discharging and easily controllable charge-discharge electric power, therefore for the electric system containing extensive new energy,
Introduce energy storage after can not only guarantee the requirement for meeting system safe and reliable operation, can also by rational proportion stored energy capacitance,
The utilization rate of new energy is improved, the generation that optical phenomenon is abandoned in abandonment is reduced.Energy storage device can be with as the important link of electric system
It releases temporary unwanted energy stores and when needed, for peak-load regulating and guarantees that system reserve capacity is filled
Abundant property etc. is of great significance.Therefore, the demand dissolved in conjunction with extensive new-energy grid-connected, closes the capacity configuration of energy storage
Reason optimization, can not only further alleviate energy waste, reduce new-energy grid-connected to dispatching of power netwoks and run brought impact, also
Energy storage investment can be optimized, improve the overall efficiency of society.
But current stored energy capacitance planing method both domestic and external is all based on greatly the new energy power output and workload demand of typical day
Characteristic curve is calculated, and the stored energy capacitance Research on configuration under big regional environment and big time scale is lacked.Such place
Reason method can not consider new energy power output in daily otherness so that finally optimize obtained stored energy capacitance match it is unreasonable,
It is easy to cause a large amount of abandonment to abandon optical phenomenon.It is existing to study the reasonable disposition for being difficult to instruct stored energy capacitance in power grid, it is also difficult to
Energy storage Correlative plan is formulated for country and development policies provides effective support.
In view of this, being badly in need of providing one kind under big regional environment and big time scale, extensive new-energy grid-connected is adapted to
The method of reasonable disposition stored energy capacitance under the conditions of consumption.
Summary of the invention
In order to solve the above-mentioned technical problem, the technical scheme adopted by the invention is that providing a kind of extensive new energy of adaptation
The stored energy capacitance Optimal Configuration Method of the grid-connected consumption in source, comprising the following steps:
It determines regional power grid calculating parameter and generates new energy and be obstructed regional gather；Determine regional power grid energy storage initial configuration
Scale and its relevant parameter；Establish Optimal Operation Model；
Determine that current new energy is obstructed area power grid new energy maximum consumption amount；It updates energy storage and configures scale optimization section；
Judge whether to need to update system stored energy configuration scale, if desired, then update system stored energy configuration scale, and again
Determine that current new energy is obstructed area power grid new energy maximum consumption amount；If not needing to update, judge that new energy is obstructed area
Whether set traverses, if new energy is obstructed, all elements have been traversed in the set of area, it is determined that and export energy storage inverter function
It is new to redefine the current new energy area power grid that is obstructed if not traversing completely for rate, battery capacity and configuration energy storage investment cost
Energy maximum consumption amount；
The regional power grid calculating parameter includes that new energy inside regional power grid is obstructed area；The positive/negative spare appearance of the whole network
Amount is horizontal, and the heating duration of regional power grid, interconnection yearly plan sequence, regional power grid are complete between regional power grid and external electrical network
Year load sequence, the annual normalization sequence of new energy power output, new energy whole year grid connection capacity month by month；
The annual minimum booting side of fired power generating unit type, fired power generating unit number of units, fired power generating unit single-machine capacity, fired power generating unit
Formula, fired power generating unit power output bound, fired power generating unit change the maximum rate of power output, regional power grid to utilization of new energy resources in 1min
Horizontal requirement；
The relevant parameter includes energy storage inverter power, energy-storage battery capacity, energy storage charge efficiency, energy storage electric discharge effect
Rate, energy-storage battery minimum state-of-charge, energy-storage battery maximum state-of-charge, inverter unit capacity construction cost and battery unit
Capacity construction cost.
It is in the above-mentioned methods, described to establish Optimal Operation Model specifically:
It establishes using year as the Optimal Operation Model of time cycle, system new energy consumption amount is up to optimization aim, builds
Vertical mixed-integer programming model；
Objective function is as follows:
Wherein,For the Wind turbines in the n of region t moment generated output,For the photovoltaic machine in the n of region
Group is in the generated output of t moment, and N is that new energy is obstructed regional number, and T is optimization fixed number；
Mixed-integer programming model constraint includes region account load balancing constraints, spinning reserve constraint, regional power grid inside biography
Defeated section capacity-constrained, system call instruction constraint, the constraint of thermal power unit operation number of units, thermal power unit operation state constraint, fire
The constraint of motor group generated output, the constraint of fired power generating unit generated output climbing rate, new energy units limits, energy storage charging and discharging state are about
Beam, the constraint of energy storage charge-discharge electric power and energy storage SOC state constraint.
In the above-mentioned methods, the current new energy of determination area power grid new energy maximum consumption amount of being obstructed includes:
The Long-term Optimal Dispatch model under the conditions of current border is solved using timing production analogy method, determines region electricity
New energy maximum consumption amount of net under the conditions of current border.
In the above-mentioned methods, update energy storage configuration scale optimization section the following steps are included:
Whether be for the first time update energy storage configuration scale optimization section, if current new energy if judging that current new energy is obstructed regional
Source be obstructed area be for the first time update energy storage configuration scale optimization section, then energy storage configuration scale optimization section left end point update
It is 0, right endpoint is updated to current new energy and is obstructed the initial configuration scale of energy storage in area；
If current new energy is obstructed, area is not to update energy storage configuration scale optimization section for the first time, judges current energy storage
Whether system utilization of new energy resources rate is able to satisfy requirement to update energy storage configuration scale optimization section, if current energy storage under configuration scale
System utilization of new energy resources rate is able to satisfy requirement under configuration scale, then current energy storage configuration scale is updated to energy storage configuration scale
Optimize the right endpoint in section, otherwise is updated to the left end point in energy storage configuration scale optimization section with current energy storage configuration scale.
In the above-mentioned methods, energy storage configuration scale optimization section includes:
Energy storage inverter power optimization section and battery capacity optimize section.
In the above-mentioned methods, it is described judge whether to need to update system stored energy configuration scale the following steps are included:
Scale optimization section is configured according to energy storage is updated, determines the length in current energy storage inverter power optimization section, such as
The fruit length is not less than preset value, then needs to update system stored energy configuration scale.
In the above-mentioned methods, the update system stored energy configuration scale is using dichotomy or trial and error procedure.
The present invention determines stored energy capacitance according to system loading and timing curve, the power producing characteristics of normal power supplies of scene etc.
The boundary condition of configuration comprehensively considers that peak load regulation network, system reserve capacity be abundance and the factors such as utilization of new energy resources rate, in great Qu
Under domain environment and big time scale, the rational capacity that energy storage configures in system is determined, realize energy storage and adapting to extensive new energy
Quantitative study under the conditions of the grid-connected consumption in source in terms of capacity reasonable disposition, instructs the reasonable disposition of stored energy capacitance in power grid, also for
Country formulates energy storage Correlative plan and development policies provides effectively support.
Detailed description of the invention
Fig. 1 is flow chart provided by the invention；
Fig. 2 is the annual 8760 hours load sequence charts of regional power grid provided by the invention；
Fig. 3 is the annual 8760 hours normalization sequence charts of wind power output in power grid provided by the invention；
Fig. 4 is 168 hours normalization sequence charts of photovoltaic power output in power grid provided by the invention.
Specific embodiment
The present invention provides a kind of stored energy capacitance Optimal Configuration Methods for adapting to extensive new-energy grid-connected consumption, in system
Under the premise of interior new energy installed capacity is certain, comprehensively consider that peak load regulation network, system reserve capacity be abundance and utilization of new energy resources
The factors such as rate determine stored energy capacitance configuration according to system loading and timing curve, the power producing characteristics of normal power supplies of scene etc.
Boundary condition, and analogy method is produced using timing, in big regional environment, (being mainly reflected between different zones has profile constraints
The case where) and big time scale (the stored energy capacitance Research on configuration under annual time scale) under, determine what energy storage in system configured
Rational capacity realizes energy storage quantifying in terms of capacity reasonable disposition under the conditions of adapting to the consumption of extensive new-energy grid-connected and grinds
Study carefully, instruct the reasonable disposition of stored energy capacitance in power grid, also formulates energy storage Correlative plan for country and development policies provides effective branch
Support.The present invention is described in detail with Figure of description With reference to embodiment.
As shown in Figure 1, a kind of stored energy capacitance for adapting to extensive new-energy grid-connected consumption provided by the invention is distributed rationally
Method, comprising the following steps:
S1, determine that regional power grid calculating parameter, parameter are specific as follows:
Under the scene for giving extensive new-energy grid-connected capacity, the prevailing transmission section limit inside the regional power grid is determined
New energy is obstructed area caused by volume, section limitation, and generates new energy and be obstructed regional set Ni, i={ 1,2 ... ... n }；
The positive/negative spare capacity of the whole network is horizontal, the heating duration of regional power grid, interconnection between regional power grid and external electrical network
Yearly plan sequence, regional power grid whole year load sequence, the annual normalization sequence of new energy power output, new energy whole year are grid-connected month by month
Capacity；
The annual minimum booting side of fired power generating unit type, fired power generating unit number of units, fired power generating unit single-machine capacity, fired power generating unit
Formula, fired power generating unit power output bound, fired power generating unit change the maximum rate of power output, regional power grid to utilization of new energy resources in 1min
Horizontal requirement and other power supply architecture data etc..
S2, regional power grid energy storage initial configuration scale and relevant parameter are determined, specific as follows:
Determine each new energy be obstructed area energy storage initial configuration scale and relevant parameter, relevant parameter include that energy storage is inverse
Become device power, energy-storage battery capacity, energy storage charge efficiency, energy storage discharging efficiency, energy-storage battery minimum state-of-charge, energy-storage battery
Maximum state-of-charge, inverter unit capacity construction cost, battery unit capacity construction cost etc..The energy storage in each area is initial
Configuration scale wants sufficiently large.
S3, Optimal Operation Model is established, specific as follows:
The present embodiment is established using year as the Optimal Operation Model of time cycle, and system new energy consumption amount is up to optimization
Target establishes mixed-integer programming model；
Objective function is as follows:
Wherein,For the Wind turbines in the n of region t moment generated output,For the photovoltaic unit in the n of region
In the generated output of t moment, N is that new energy is obstructed regional number, and T is optimization fixed number.
Mixed-integer programming model constraint includes region account load balancing constraints, spinning reserve constraint, regional power grid inside biography
Defeated section capacity-constrained, system call instruction constraint, the constraint of thermal power unit operation number of units, thermal power unit operation state constraint, fire
The constraint of motor group generated output, the constraint of fired power generating unit generated output climbing rate, new energy units limits, energy storage charging and discharging state are about
Beam, the constraint of energy storage charge-discharge electric power and energy storage SOC state constraint etc..
The system spinning reserve horizontal restraint condition after energy storage power output influences mainly is considered in the present embodiment, as follows:
Wherein, formula (2) indicates the positive stand-by requirement constraint of system, which sets in consideration system wind-powered electricity generation and photovoltaic power generation
Under the premise of believing capacity, the sum of maximum power generation and other power supplys power output of all booting units will can satisfy system most
Big positive stand-by requirement, energy storage guarantee that system reserve capacity is abundance by discharging at this time；
Formula (3) indicates the negative stand-by requirement constraint of system, which only dispatches conventional thermal power unit and energy storage in system
When equipment, the negative stand-by requirement of maximum of system can satisfy, what energy storage at this time met system by charging bears spare water
It is flat to require.
In formula, DtFor workload demand of the system on period t；The positive stand-by requirement for being system on period t；For
The power that region n is conveyed on period t to exterior；SkindFor fired power generating unit type number；For unit type number j
Fired power generating unit maximum output it is horizontal；For operation platform of the fired power generating unit in the t period in the n of region of unit type number j
Number；For the credible capacity of Wind turbines in the n of region；For the credible capacity of photovoltaic unit in the n of region；For region n
In energy storage t moment discharge power；For the energy storage in the n of region t moment charge power；For unit
The minimum load of the fired power generating unit of type number j is horizontal；The negative stand-by requirement for being system on period t.
S4, determine that current new energy is obstructed area power grid new energy maximum consumption amount；Specifically:
Data and energy storage configuration scale are calculated according to step S1~S2 power grid and relevant parameter, solution are established in step s3
Long-term Optimal Dispatch model, the optimal objective value of the model is exactly new energy of given area power grid under the conditions of current border
Maximum consumption amount.
Using the Long-term Optimal Dispatch model under the conditions of timing production analogy method solution current border in the present embodiment, obtain
Obtain new energy maximum consumption amount of regional power grid under the conditions of current border.
S5, energy storage configuration scale optimization section is updated, comprising the following steps:
Whether be for the first time update energy storage configuration scale optimization section, if current new energy if judging that current new energy is obstructed regional
Source be obstructed area be for the first time update energy storage configuration scale optimization section, then energy storage configuration scale optimization section left end point update
It is 0, right endpoint is updated to current new energy and is obstructed the initial configuration scale of energy storage in area；
If current new energy is obstructed, area is not to update energy storage configuration scale optimization section for the first time, judges current energy storage
Whether system utilization of new energy resources rate is able to satisfy requirement to update energy storage configuration scale optimization section, if current energy storage under configuration scale
System utilization of new energy resources rate is able to satisfy requirement under configuration scale, then current energy storage configuration scale is updated to energy storage configuration scale
Optimize the right endpoint in section, otherwise is updated to the left end point in energy storage configuration scale optimization section with current energy storage configuration scale.
Wherein,
Judge current new energy be obstructed area whether be for the first time update energy storage configuration scale optimization section, specially if
Energy storage configuration capacity is that initial capacity is horizontal, then current to configure scale optimization section to update energy storage for the first time.
It is described as follows:
It is assumed that energy storage configuration scale includes energy storage inverter power and energy storage electricity for current new energy is obstructed area
Tankage；
The optimization section of energy storage inverter power isThe optimization section of energy-storage battery capacity is
If current new energy is obstructed, area is to change energy storage configuration scale for the first time, and the left and right end in optimization section is arranged
Point:
Wherein,Be obstructed the regional initial inverter power of energy storage for current new energy,For current new energy
Be obstructed regional energy storage initial battery capacity.
If current new energy is obstructed, area is not to update energy storage configuration scale optimization section for the first time, according to current storage
Whether system utilization of new energy resources rate is able to satisfy requirement to update optimization section under energy configuration scale.
The new energy theoretical power generation of regional power grid are as follows:
Wherein,For the installed capacity of wind power plant in the n of region；For the installed capacity of photovoltaic plant in the n of region；
For the theoretical normalization power output sequence of wind-powered electricity generation；For the theoretical normalization power output sequence of photovoltaic.
According to the optimum results of step 4, the actual power generation that system new energy can be calculated is
According to formula (4) and (5), the utilization of new energy resources rate of current system can be calculated are as follows:
It is assumed that requirement of the regional power grid to utilization of new energy resources rate is η*If η < η*, then illustrate current energy storage configuration scale
Lower system utilization of new energy resources rate cannot be met the requirements, then update energy storage inverter power optimization section and battery capacity optimization section
Left end point:
Wherein,For current energy storage inverter power level,For current energy-storage battery capacity water
It is flat.
If η >=η*, then illustrate that system utilization of new energy resources rate is able to satisfy requirement under current energy storage configuration scale, then updates storage
The right endpoint in energy inverter power optimization section and battery capacity optimization section:
S6, judge whether to need to update system stored energy configuration scale；The following steps are included:
In the present embodiment, it can be held by single determining energy storage inverter power optimization siding-to-siding block length or single determining battery
Amount optimization siding-to-siding block length is to determine whether need to update system stored energy configuration scale, because the charge and discharge duration of energy storage is determining
, as long as inverter power is certain, battery capacity is also certain value.Concrete analysis is by determining energy storage inverter power below
Optimization siding-to-siding block length is to determine whether need to update system stored energy configuration scale；
According to step S5's as a result, length in current energy storage inverter power optimization section can be calculated, if should
Length is not less than certain preset value, then needs to update system stored energy configuration scale, then execute next step, that is, go to step S7；Such as
The small Mr. Yu's preset value of the fruit length, then go to step S8.
Assuming that it is excellent that current energy storage inverter power can be calculated according to step S5 for very small constant ε in preset value
Change the length in section are as follows:
I.e. if δ >=ε, turn S7, then update system stored energy configuration scale and goes to step S4；
If δ < ε, turns S8；
S7, system stored energy configuration scale is updated, and goes to step S4；
It updates system stored energy and configures scale specifically:
In conjunction with the optimization section of energy storage configuration scale, current new energy is updated using dichotomy or trial and error procedure and is obstructed in area
Energy storage configures scale, i.e. inverter power and battery capacity, while the energy storage configuration scale that other new energy are obstructed regional is kept
It is constant, it is very high based on dichotomy update efficiency, it is calculated below by dichotomy as follows:
Wherein,For updated energy storage inverter power level,For updated energy-storage battery
Capacity level.
S8, judge new energy be obstructed area set whether traverse, if new energy be obstructed area set in all elements it is equal
It has been traversed that, then go to step S9, if not traversing, gone to step S4.
S9, determination simultaneously export configuration energy storage investment cost, and the be obstructed regional energy storage of each new energy is configured scale optimization area
Between right end point value, be obstructed regional energy storage rationally optimal configuration scale as each new energy, in conjunction with energy storage inverter and battery
Unit capacity construction cost, can be calculated the investment cost of reasonable allocation optimum energy storage, calculate as follows:
In formula, Cost is the investment cost for the reasonable allocation optimum energy storage that optimization obtains, CbatteryFor energy-storage battery unit
Capacity construction cost, CinverterFor energy storage inverter unit capacity construction cost,To optimize obtained reasonable energy storage
Battery capacity,To optimize obtained reasonable energy storage inverter power.
Illustrate the present embodiment below by concrete case.
(1) the regional power grid basic parameter needed for calculating is collected according to demand, including the new energy is obstructed in area power grid
The prevailing transmission cross-section limitation in portion, the positive/negative spare capacity of the whole network is horizontal, the heating duration of regional power grid, regional power grid and outside
Interconnection 8760 hours programmed sequences of whole year between power grid, regional power grid 8760 hours load sequences of whole year, as shown in Figure 2；Newly
The energy is contributed annual 8760 hours normalization sequences, as shown in Figure 3-4, including in power grid wind-powered electricity generation and photovoltaic power output annual 8760 are small
When normalize sequence chart；New energy whole year grid connection capacity, fired power generating unit type, fired power generating unit number of units, fired power generating unit single machine month by month
Capacity, the minimum start-up mode of fired power generating unit whole year, fired power generating unit power output bound, fired power generating unit change power output in 1min
The requirement and other power supply architecture data etc. of maximum rate, regional power grid to utilization of new energy resources level, such as following table.
Table 1, new energy is obstructed the transmission cross-section limitation between area inside regional power grid
| Circuit number | Transmission cross-section | The transimission power upper limit (MW) |
| L1 | The regional area 1- 2 (the regional area 2- 1) | 1800 |
| L2 | The regional area 2- 3 (the regional area 3- 2) | 1500 |
Fired power generating unit parameter in 2 regional power grid of table
2) given area power grid energy storage initial configuration scale and relevant parameter；
Give the energy storage initial configuration scale and relevant parameter in each area, including energy storage inverter power, energy-storage battery
Capacity, energy storage charge efficiency, energy storage discharging efficiency, energy-storage battery minimum state-of-charge, energy-storage battery maximum state-of-charge, inversion
Device unit capacity construction cost, battery unit capacity construction cost etc.；Full be full of of energy-storage battery puts the time for 4 hours, such as
Shown in the following table 3-5.
Energy-storage battery parameter in each department in table 3, regional power grid
| Energy-storage battery area | Area 1 | Area 2 | Area 3 |
| Charge efficiency | 0.92 | 0.92 | 0.92 |
| Discharging efficiency | 0.92 | 0.92 | 0.92 |
| Minimum state-of-charge | 0 | 0 | 0 |
| Maximum state-of-charge | 1 | 1 | 1 |
4 energy-storage battery construction cost parameter of table
| Inverter unit capacity construction cost (Wan Yuan/MW) | 85 |
| Battery unit capacity construction cost (Wan Yuan/MWh) | 218 |
The each new energy of table 5 is obstructed the configuration of regional energy storage initial capacity
| Energy-storage battery area | Area 1 | Area 2 | Area 3 |
| Inverter power (MW) | 4000 | 4000 | 4000 |
| Battery capacity (MWh) | 16000 | 16000 | 16000 |
3) it establishes using year as the Optimal Operation Model of time cycle, optimization mesh is up to system new energy consumption amount
Mark establishes mixed-integer programming model, and model constraint is including in region account load balancing constraints, spinning reserve constraint, regional power grid
Transmit section capacity-constrained, system call instruction constraint, the constraint of thermal power unit operation number of units, thermal power unit operation state about in portion
Beam, the constraint of fired power generating unit generated output, the constraint of fired power generating unit generated output climbing rate, new energy units limits, energy storage charge and discharge
State constraint, the constraint of energy storage charge-discharge electric power and energy storage SOC state constraint etc..
In conjunction with the unit capacity construction cost of energy storage inverter and battery, reasonable allocation optimum energy storage can be calculated
Investment cost.In present case, system utilization of new energy resources rate demand is 90% or more, and the energy storage configuration scale in three areas is as follows
Shown in table.
Energy storage in 6 three areas of table configures scale
| Energy-storage battery area | Area 1 | Area 2 | Area 3 |
| Inverter power (MW) | 2400 | 2500 | 2400 |
| Battery capacity (MWh) | 9600 | 10000 | 9600 |
The energy storage investment cost of the regional power grid is 6,986,1000000 yuan at this time.
The present invention is not limited to above-mentioned preferred forms, and anyone should learn that the knots made under the inspiration of the present invention
Structure variation, the technical schemes that are same or similar to the present invention are fallen within the scope of protection of the present invention.
Claims (7)
1. a kind of stored energy capacitance Optimal Configuration Method for adapting to extensive new-energy grid-connected consumption, which is characterized in that including following
Step:
It determines regional power grid calculating parameter and generates new energy and be obstructed regional gather；Determine regional power grid energy storage initial configuration scale
And its relevant parameter；Establish Optimal Operation Model；
Determine that current new energy is obstructed area power grid new energy maximum consumption amount；It updates energy storage and configures scale optimization section；
Judge whether to need to update system stored energy configuration scale, if desired, then update system stored energy configuration scale, and redefine
Current new energy is obstructed area power grid new energy maximum consumption amount；If not needing to update, judge that new energy is obstructed regional gather
Whether traverse, if new energy is obstructed, all elements have been traversed in the set of area, it is determined that and export energy storage inverter power, electricity
Tankage and configuration energy storage investment cost redefine current new energy and are obstructed area power grid new energy if not traversing completely
Maximum consumption amount；
The regional power grid calculating parameter includes that new energy inside regional power grid is obstructed area；The positive/negative spare capacity water of the whole network
It puts down, the heating duration of regional power grid, interconnection yearly plan sequence between regional power grid and external electrical network, regional power grid whole year is negative
Lotus sequence, the annual normalization sequence of new energy power output, new energy whole year grid connection capacity month by month；
Fired power generating unit type, fired power generating unit number of units, fired power generating unit single-machine capacity, minimum start-up mode, the fire of fired power generating unit whole year
Electric unit output bound, fired power generating unit change the maximum rate of power output, regional power grid to utilization of new energy resources level in 1min
Requirement；
The relevant parameter includes energy storage inverter power, energy-storage battery capacity, energy storage charge efficiency, energy storage discharging efficiency, storage
It can battery minimum state-of-charge, energy-storage battery maximum state-of-charge, inverter unit capacity construction cost and battery unit capacity
Construction cost.
2. the method as described in claim 1, which is characterized in that described to establish Optimal Operation Model specifically:
It establishes using year as the Optimal Operation Model of time cycle, system new energy consumption amount is up to optimization aim, establishes mixed
Close integer programming model；
Objective function is as follows:
Wherein,For the Wind turbines in the n of region t moment generated output,It is the photovoltaic unit in the n of region
The generated output of t moment, N are that new energy is obstructed regional number, and T is optimization fixed number；
Mixed-integer programming model constraint includes region account load balancing constraints, spinning reserve constrains, regional power grid internal transmission is broken
Face capacity-constrained, system call instruction constraint, the constraint of thermal power unit operation number of units, thermal power unit operation state constraint, thermal motor
Group generated output constraint, the constraint of fired power generating unit generated output climbing rate, new energy units limits, energy storage charging and discharging state constrain,
The constraint of energy storage charge-discharge electric power and energy storage SOC state constraint.
3. the method as described in claim 1, which is characterized in that the current new energy of determination is obstructed area power grid new energy most
Big consumption amount includes:
The Long-term Optimal Dispatch model under the conditions of current border is solved using timing production analogy method, determines that the regional power grid exists
New energy maximum consumption amount under the conditions of current border.
4. the method as described in claim 1, which is characterized in that update energy storage configuration scale optimization section includes following step
It is rapid:
Judge current new energy be obstructed area whether be update energy storage configuration scale optimization section for the first time, if current new energy by
Resistance area is to update energy storage configuration scale optimization section for the first time, then the left end point in energy storage configuration scale optimization section is updated to 0,
Right endpoint is updated to current new energy and is obstructed the initial configuration scale of energy storage in area；
If current new energy is obstructed, area is not to update energy storage configuration scale optimization section for the first time, judges current energy storage configuration
Whether system utilization of new energy resources rate is able to satisfy requirement to update energy storage configuration scale optimization section under scale, if current energy storage configuration
System utilization of new energy resources rate is able to satisfy requirement under scale, then current energy storage configuration scale is updated to energy storage configuration scale optimization
The right endpoint in section, on the contrary the left end point in energy storage configuration scale optimization section is updated to current energy storage configuration scale.
5. method as claimed in claim 4, which is characterized in that energy storage configuration scale optimization section includes:
Energy storage inverter power optimization section and battery capacity optimize section.
6. method as claimed in claim 5, which is characterized in that described to judge whether to need to update system stored energy configuration scale packet
Include following steps:
Scale optimization section is configured according to energy storage is updated, determines the length in current energy storage inverter power optimization section, if should
Length is not less than preset value, then needs to update system stored energy configuration scale.
7. the method as described in claim 1, which is characterized in that update system stored energy configuration scale be using dichotomy or
Trial and error procedure.
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| CN201910212791.7A CN109888830B (en) | 2019-03-20 | 2019-03-20 | Energy storage capacity optimal configuration method suitable for large-scale new energy grid-connected consumption |
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| CN109888830B CN109888830B (en) | 2020-09-22 |
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| CN113972660A (en) * | 2021-11-16 | 2022-01-25 | 国网江苏省电力有限公司常州供电分公司 | Day-ahead scheduling method for AC/DC hybrid power distribution network |
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| CN110401220A (en) * | 2019-07-26 | 2019-11-01 | 北京华建网源电力设计研究院有限公司 | A kind of extensive new energy consumption level evaluation method and system |
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| CN111416388B (en) * | 2020-04-26 | 2022-04-01 | 中国电力工程顾问集团西北电力设计院有限公司 | Method for determining energy storage demand and energy storage duration of high-proportion new energy system |
| CN111525629A (en) * | 2020-05-19 | 2020-08-11 | 福州大学 | Power supply capacity configuration method and device, computer equipment and storage medium |
| CN112132379A (en) * | 2020-08-03 | 2020-12-25 | 国电南瑞科技股份有限公司 | Economic-considered new energy cross-region consumption evaluation method and storage medium |
| CN112132379B (en) * | 2020-08-03 | 2022-05-31 | 国电南瑞科技股份有限公司 | Economic-considered new energy cross-region consumption evaluation method and storage medium |
| CN113972660A (en) * | 2021-11-16 | 2022-01-25 | 国网江苏省电力有限公司常州供电分公司 | Day-ahead scheduling method for AC/DC hybrid power distribution network |
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| CN114069671A (en) * | 2021-11-26 | 2022-02-18 | 国网甘肃省电力公司电力科学研究院 | High-proportion new energy power grid energy storage demand analysis method considering consumption level |
| CN116976521A (en) * | 2023-08-14 | 2023-10-31 | 水电水利规划设计总院 | Power system peak regulation energy storage capacity demand prediction method with different time scales |
| CN116976521B (en) * | 2023-08-14 | 2024-01-16 | 水电水利规划设计总院 | Power system peak regulation energy storage capacity demand prediction method with different time scales |
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