CN109888830B - Energy storage capacity optimal configuration method suitable for large-scale new energy grid-connected consumption - Google Patents
Energy storage capacity optimal configuration method suitable for large-scale new energy grid-connected consumption Download PDFInfo
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Abstract
The invention discloses an energy storage capacity optimal configuration method suitable for large-scale new energy grid-connected consumption, which comprises the following steps of: determining regional power grid calculation parameters and generating a new energy blocked region set; determining the initial configuration scale of the regional power grid energy storage and related parameters thereof; establishing an optimized scheduling model; determining the maximum consumption of the new energy of the power grid in the current blocked new energy region; updating an energy storage configuration scale optimization interval; judging whether the system energy storage configuration scale needs to be updated or not, if so, updating the system energy storage configuration scale, and re-determining the maximum new energy consumption of the power grid in the current new energy blocked area; and if not, judging whether the set is traversed or not, if the set is traversed, determining and outputting the power of the energy storage inverter, the battery capacity and the configuration energy storage investment cost, and if the set is not traversed completely, re-determining the maximum consumption of the new energy of the power grid in the current new energy blocked area. The method determines the reasonable capacity of the energy storage configuration in the system under the large-area environment and the large time scale.
Description
Technical Field
The invention relates to the technical field of power system analysis, in particular to a method for reasonably configuring energy storage capacity under the condition of large-scale new energy grid-connected consumption.
Background
With the gradual deepening of the construction of the smart power grid, new energy technologies (such as wind power, photovoltaic and the like) are developed rapidly. Because the construction cost of the unit capacity of the new energy is rapidly reduced, the specific gravity of the installed capacity of a new energy unit in the system in the total installed capacity is higher and higher, the output of a new energy power supply has the characteristics of randomness, volatility and the like, the peak-back regulation characteristic of the output of the new energy is obvious, and after the new energy is connected to a power grid in a large scale, the safe operation of the power system can be challenged. Particularly, when the new energy amount is large and the system absorption space is insufficient, the power balance of the system is maintained by 'wind abandoning' and 'light abandoning'. With the rapid increase of new energy power generation scale and the establishment of large-scale trans-regional power transmission patterns in China, the demands of a power grid on relieving peak load regulation pressure, improving standby level, reducing power grid blockage, improving trans-regional channel transmission capacity and the like are increasingly highlighted.
The energy storage technology has wide application prospect as an important technical scheme for solving the problems. Because the energy storage has the characteristics of rapid charge and discharge and easy control of charge and discharge power, for a power system containing large-scale new energy, the requirement of safe and reliable operation of the system can be met after the energy storage is introduced, the utilization rate of the new energy can be improved by reasonably proportioning the energy storage capacity, and the phenomenon of wind and light abandonment is reduced. The energy storage device can store temporarily unnecessary energy and release the temporarily unnecessary energy when needed as an important link of the power system, and has important significance for system peak regulation, system spare capacity allowance guarantee and the like. Therefore, the capacity allocation of the stored energy is reasonably optimized by combining the requirements of large-scale new energy grid connection consumption, the energy waste can be further relieved, the impact of new energy grid connection on the dispatching operation of a power grid is reduced, the energy storage investment can be optimized, and the overall social benefit is improved.
However, most of the existing energy storage capacity planning methods at home and abroad are calculated based on the characteristic curve of new energy output and load demand on a typical day, and the energy storage capacity configuration research under large-area environment and large time scale is lacked. The processing method cannot consider the difference of new energy output every day, so that the finally optimized energy storage capacity ratio is unreasonable, and a large amount of wind and light abandoning phenomena are easily caused. The existing research is difficult to guide the reasonable configuration of the energy storage capacity in the power grid, and is also difficult to provide effective support for the state to formulate the energy storage related planning and development policy.
In view of this, it is urgently needed to provide a method for reasonably configuring energy storage capacity under the condition of large-scale new energy grid-connected consumption in a large-area environment and a large time scale.
Disclosure of Invention
In order to solve the technical problems, the technical scheme adopted by the invention is to provide an energy storage capacity optimal configuration method suitable for large-scale new energy grid-connected consumption, and the method comprises the following steps:
determining regional power grid calculation parameters and generating a new energy blocked region set; determining the initial configuration scale of the regional power grid energy storage and related parameters thereof; establishing an optimized scheduling model;
determining the maximum consumption of the new energy of the power grid in the current blocked new energy region; updating an energy storage configuration scale optimization interval;
judging whether the system energy storage configuration scale needs to be updated or not, if so, updating the system energy storage configuration scale, and re-determining the maximum new energy consumption of the power grid in the current new energy blocked area; if the new energy blocked area set does not need to be updated, judging whether the new energy blocked area set traverses or not, if all elements in the new energy blocked area set traverse, determining and outputting the power of an energy storage inverter, the battery capacity and the configuration energy storage investment cost, and if the new energy blocked area set does not traverse completely, re-determining the maximum new energy consumption of the power grid of the current new energy blocked area;
the regional power grid calculation parameters comprise new energy blocked regions in the regional power grid; the system comprises a whole-network positive/negative spare capacity level, a regional power grid heating time, a whole-year plan sequence of a connecting line between the regional power grid and an external power grid, a whole-year load sequence of the regional power grid, a whole-year output normalization sequence of new energy and a whole-year monthly grid-connected capacity of the new energy;
the method comprises the following steps of (1) determining the type of a thermal power generating unit, the number of the thermal power generating units, the single unit capacity of the thermal power generating unit, the annual minimum starting mode of the thermal power generating unit, the upper and lower output limits of the thermal power generating unit, the maximum output rate of the thermal power generating unit changing within 1min, and the requirements of a regional power grid on the utilization level of new energy;
the related parameters comprise energy storage inverter power, energy storage battery capacity, energy storage charging efficiency, energy storage discharging efficiency, energy storage battery minimum charge state, energy storage battery maximum charge state, inverter unit capacity construction cost and battery unit capacity construction cost.
In the above method, the establishing an optimized scheduling model specifically includes:
establishing an optimized scheduling model taking the year as a time period, wherein the maximum new energy consumption of the system is an optimized target, and establishing a mixed integer programming model;
the objective function is as follows:
wherein the content of the first and second substances,
for the generated power of the wind turbine in the region n at the time t,
the generated power of the photovoltaic units in the region N at the T moment is defined, N is the number of new energy blocked regions, and T is the number of optimized time periods;
the hybrid integer programming model constraints comprise regional load balance constraints, rotation standby constraints, regional power grid internal transmission section capacity constraints, system scheduling instruction constraints, thermal power unit operation number constraints, thermal power unit operation state constraints, thermal power unit power generation power ramp rate constraints, new energy output constraints, energy storage charging and discharging state constraints, energy storage charging and discharging power constraints and energy storage SOC state constraints.
In the method, the determining of the maximum consumption of the new energy of the power grid in the current new energy blocked area comprises:
and solving an optimized scheduling model taking the year as a time period under the current boundary condition by adopting a time sequence production simulation method, and determining the maximum new energy consumption of the regional power grid under the current boundary condition.
In the above method, the updating the energy storage configuration size optimization interval includes the following steps:
judging whether the current new energy blocked area is a first energy storage configuration scale updating interval or not, if so, updating the left end point of the energy storage configuration scale optimizing interval to be 0, and updating the right end point to be the initial configuration scale of the energy storage in the current new energy blocked area;
and if the current new energy blocked area is not the first energy storage configuration scale optimization interval, judging whether the new energy utilization rate of the system under the current energy storage configuration scale can meet the requirement to update the energy storage configuration scale optimization interval, and if the new energy utilization rate of the system under the current energy storage configuration scale can meet the requirement, updating the current energy storage configuration scale to be the right end point of the energy storage configuration scale optimization interval, otherwise, updating the current energy storage configuration scale to be the left end point of the energy storage configuration scale optimization interval.
In the above method, the energy storage configuration size optimization interval includes:
the energy storage inverter power optimization interval and the battery capacity optimization interval.
In the above method, the determining whether the scale of the system energy storage configuration needs to be updated includes the following steps:
and determining the length of the current energy storage inverter power optimization interval according to the updated energy storage configuration scale optimization interval, and if the length is not less than a preset value, updating the system energy storage configuration scale.
In the method, the updating of the system energy storage configuration scale is performed by adopting a dichotomy method or a trial and error method.
According to the method, the boundary condition of the energy storage capacity configuration is determined according to the system load, the wind-solar time sequence curve, the output characteristic of the conventional power supply and the like, the factors such as power grid peak regulation, the system standby capacity abundance, the new energy utilization rate and the like are comprehensively considered, the reasonable capacity of the energy storage configuration in the system is determined under the large-area environment and the large time scale, the quantitative research of the capacity reasonable configuration of the energy storage under the condition of adapting to large-scale new energy grid-connected absorption is realized, the reasonable configuration of the energy storage capacity in the power grid is guided, and the effective support is provided for the state to formulate the energy storage related planning and development policy.
Drawings
FIG. 1 is a flow chart provided by the present invention;
fig. 2 is a 8760-hour load sequence chart of the regional power grid provided by the invention all year round;
FIG. 3 is a 8760-hour normalized sequence chart of wind power output in the power grid provided by the invention all year round;
fig. 4 is a 168-hour normalized sequence chart of photovoltaic output in the power grid provided by the invention.
Detailed Description
The invention provides an energy storage capacity optimal configuration method suitable for large-scale new energy grid-connected consumption, on the premise of a certain installed capacity of new energy in the system, factors such as power grid peak regulation, system spare capacity abundance, new energy utilization rate and the like are comprehensively considered, determining the boundary condition of energy storage capacity configuration according to the time sequence curve of system load and wind and the output characteristic of a conventional power supply, and adopting a time sequence production simulation method, under the conditions of large-area environment (mainly embodied in the condition that cross section constraint exists among different areas) and large time scale (the research on the energy storage capacity configuration under the time scale of the whole year), the reasonable capacity of the energy storage configuration in the system is determined, the quantitative research on the capacity reasonable configuration of the energy storage under the condition of adapting to large-scale new energy grid-connected consumption is realized, the reasonable configuration of the energy storage capacity in a power grid is guided, and effective support is provided for the national establishment of energy storage related planning and development policies. The invention is described in detail below with reference to specific embodiments and the accompanying drawings.
As shown in fig. 1, the energy storage capacity optimal configuration method suitable for large-scale new energy grid-connected consumption provided by the invention comprises the following steps:
s1, determining regional power grid calculation parameters, wherein the parameters are as follows:
under the scene of given large-scale new energy grid-connected capacity, determining new energy blocked areas caused by main transmission section limitation and section limitation in the regional power grid, and generating a new energy blocked area setNi，i＝{1,2，……n}；
The system comprises a whole-network positive/negative spare capacity level, a regional power grid heating time, a whole-year plan sequence of a connecting line between the regional power grid and an external power grid, a whole-year load sequence of the regional power grid, a whole-year output normalization sequence of new energy and a whole-year monthly grid-connected capacity of the new energy;
the method comprises the following steps of determining the type of the thermal power generating unit, the number of the thermal power generating units, the single unit capacity of the thermal power generating unit, the annual minimum starting mode of the thermal power generating unit, the upper and lower output limits of the thermal power generating unit, the maximum output rate of the thermal power generating unit changing within 1min, the requirements of a regional power grid on the utilization level of new energy and other power supply structure data and the like.
S2, determining the initial configuration scale and relevant parameters of the regional power grid energy storage, specifically as follows:
determining the initial configuration scale of the energy storage and related parameters of each new energy blocked area, wherein the related parameters comprise the power of an energy storage inverter, the capacity of an energy storage battery, the energy storage charging efficiency, the energy storage discharging efficiency, the minimum charge state of the energy storage battery, the maximum charge state of the energy storage battery, the construction cost of the unit capacity of the inverter, the construction cost of the unit capacity of the battery and the like. The initial configuration of energy storage for each region is large enough.
S3, establishing an optimized scheduling model, which is as follows:
in the embodiment, an optimized scheduling model taking the year as a time period is established, the maximum new energy consumption of the system is an optimized target, and a mixed integer programming model is established;
the objective function is as follows:
wherein the content of the first and second substances,
for the generated power of the wind turbine in the region n at the time t,
for the generation of photovoltaic units in the region n at the t-th momentAnd power, wherein N is the number of new energy blocked areas, and T is the number of optimized time periods.
The hybrid integer programming model constraints comprise regional load balance constraints, rotation standby constraints, regional power grid internal transmission section capacity constraints, system scheduling instruction constraints, thermal power unit operation number constraints, thermal power unit operation state constraints, thermal power unit power generation power ramp rate constraints, new energy output constraints, energy storage charging and discharging state constraints, energy storage charging and discharging power constraints, energy storage SOC state constraints and the like.
In this embodiment, the system rotation standby horizontal constraint condition after the influence of the energy storage output is mainly considered, as follows:
the formula (2) represents the positive standby requirement constraint of the system, the constraint represents that the sum of the maximum power generation power of all starting units and the output of other power supplies can meet the maximum positive standby requirement of the system on the premise of considering the confidence capacity of the system wind power and photovoltaic power generation, and the redundancy of the standby capacity of the system is ensured by discharging at the moment of energy storage;
formula (3) represents the system negative standby demand constraint, which means that the maximum negative standby demand of the system can be met when the system only schedules the conventional thermal power generating unit and the energy storage device, and the energy storage meets the negative standby level requirement of the system through charging.
In the formula, DtLoad demand for the system over time period t;
is the positive standby requirement of the system over time period t;
power delivered to the outside of the system over a time period t for a region n；SkindThe number of the types of the thermal power generating units;
numbering j for the maximum output level of the thermal power generating unit of unit type;
the number of the thermal power generating units with the unit type number j in the region n in the time period t is counted;
the credible capacity of the wind turbine generator set in the region n is set;
the credible capacity of the photovoltaic unit in the region n is obtained;
the discharge power of the stored energy in the region n at the t-th moment;
charging power of the stored energy in the region n at the t-th moment;
numbering j for the minimum output level of the thermal power generating unit of unit type;
is a negative standby demand for the system over time period t.
S4, determining the maximum consumption of the new energy of the power grid in the current blocked new energy region; the method specifically comprises the following steps:
and solving the optimized dispatching model which is established in the step S3 and takes the year as the time period according to the power grid calculation data, the energy storage configuration scale and the related parameters in the steps S1-S2, wherein the optimal target value of the model is the maximum new energy consumption of the power grid in the given area under the current boundary condition.
In this embodiment, a time sequence production simulation method is adopted to solve an optimized scheduling model with the year as a time period under the current boundary condition, and the maximum new energy consumption of the regional power grid under the current boundary condition is obtained.
S5, updating the energy storage configuration scale optimization interval, comprising the following steps:
judging whether the current new energy blocked area is a first energy storage configuration scale updating interval or not, if so, updating the left end point of the energy storage configuration scale optimizing interval to be 0, and updating the right end point to be the initial configuration scale of the energy storage in the current new energy blocked area;
and if the current new energy blocked area is not the first energy storage configuration scale optimization interval, judging whether the new energy utilization rate of the system under the current energy storage configuration scale can meet the requirement to update the energy storage configuration scale optimization interval, and if the new energy utilization rate of the system under the current energy storage configuration scale can meet the requirement, updating the current energy storage configuration scale to be the right end point of the energy storage configuration scale optimization interval, otherwise, updating the current energy storage configuration scale to be the left end point of the energy storage configuration scale optimization interval. Wherein the content of the first and second substances,
and judging whether the current new energy blocked area is the first energy storage configuration scale updating optimization interval, specifically, if the energy storage configuration capacity is the initial capacity level, the current new energy storage configuration scale updating optimization interval is the first energy storage configuration scale updating optimization interval.
The concrete description is as follows:
assuming that for the current new energy blocked area, the scale of the energy storage configuration comprises the power of an energy storage inverter and the capacity of an energy storage battery;
the optimization interval of the power of the energy storage inverter is
The capacity of the energy storage battery is optimized into an interval
If the energy storage configuration scale is changed for the first time in the current new energy blocked area, setting left and right end points of an optimization interval:
wherein the content of the first and second substances,
for the initial inverter power of the energy storage in the region where the new energy is blocked,
and the initial capacity of the energy storage battery in the region with the current blocked new energy is obtained.
And if the current new energy blocked area is not the first energy storage configuration scale updating optimization interval, updating the optimization interval according to whether the system new energy utilization rate can meet the requirement under the current energy storage configuration scale.
The theoretical generated energy of the new energy of the regional power grid is as follows:
wherein the content of the first and second substances,
the installed capacity of the wind field in the region n;
the installed capacity of a photovoltaic power station in the region n;
the method comprises the following steps of (1) obtaining a theoretical normalized output sequence of wind power;
the output sequence is theoretically normalized for photovoltaic.
According to the optimization result of the step 4, the actual power generation amount of the new energy of the system can be calculated to be
According to the equations (4) and (5), the new energy utilization rate of the current system can be calculated as follows:
assuming that the requirements of the regional power grid on the utilization rate of new energy are
If it is not
If the system new energy utilization rate cannot meet the requirements under the current energy storage configuration scale, updating the left end points of the energy storage inverter power optimization interval and the battery capacity optimization interval:
wherein the content of the first and second substances,
for the present power level of the energy storage inverter,
is the current capacity level of the energy storage battery.
If it is not
If the system new energy utilization rate can meet the requirements under the current energy storage configuration scale, updating the right end points of the energy storage inverter power optimization interval and the battery capacity optimization interval:
s6, judging whether the system energy storage configuration scale needs to be updated or not; the method comprises the following steps:
in this embodiment, whether the system energy storage configuration scale needs to be updated may be determined by singly determining the energy storage inverter power optimization interval length or singly determining the battery capacity optimization interval length, because the charging and discharging time duration of the energy storage is determined, as long as the inverter power is fixed, the battery capacity is also a fixed value. The following specific analysis judges whether the system energy storage configuration scale needs to be updated by determining the energy storage inverter power optimization interval length;
according to the result of the step S5, the length of the current energy storage inverter power optimization interval can be calculated, and if the length is not less than a certain preset value, the system energy storage configuration scale needs to be updated, and then the next step is executed, that is, the step S7 is executed; if the length is smaller than a preset value, go to step S8.
Assuming that the preset value is a very small constant, according to step S5, the length of the current energy storage inverter power optimization interval can be calculated as:
if yes, turning to S7, updating the system energy storage configuration scale and turning to step S4;
if yes, go to S8;
s7, updating the system energy storage configuration scale, and turning to the step S4;
the updating system energy storage configuration scale specifically comprises the following steps:
and updating the energy storage configuration scale in the current new energy blocked region by combining the optimization interval of the energy storage configuration scale by adopting a bisection method or a trial-and-error method, namely the power of the inverter and the capacity of the battery, and meanwhile, the energy storage configuration scale of other new energy blocked regions is kept unchanged, and the updating efficiency is very high based on the bisection method, and the following calculation is carried out by the bisection method:
wherein the content of the first and second substances,
for the updated stored energy inverter power level,
is the updated capacity level of the energy storage battery.
And S8, judging whether the new energy blocked region set traverses or not, if all elements in the new energy blocked region set traverse, turning to the step S9, and if not, turning to the step S4.
S9, determining and outputting configuration energy storage investment cost, taking a right end value of an energy storage configuration scale optimization interval of each new energy blocked region as a reasonably optimal configuration scale of each new energy blocked region, and calculating to obtain the reasonably optimal configuration energy storage investment cost by combining unit capacity construction cost of an energy storage inverter and a battery, wherein the calculation is as follows:
in the formula, Cost is the investment Cost of reasonably and optimally configuring energy storage for bestbatteryFor the construction cost per unit capacity of the energy storage cell, CinverterIn order to reduce the construction cost of the energy storage inverter per unit capacity,
in order to optimize the resulting reasonable energy storage battery capacity,
in order to optimize the obtained reasonable energy storage inverter power.
The present embodiment will be described below by way of specific examples.
(1) Collecting and calculating basic parameters of a regional power grid according to requirements, wherein the basic parameters comprise main transmission section quota in the power grid of the new energy blocked region, positive/negative spare capacity level of the whole power grid, heating time of the regional power grid, 8760-hour whole-year plan sequence of a connecting line between the regional power grid and an external power grid, and 8760-hour whole-year load sequence of the regional power grid, and are shown in FIG. 2; the new energy output year 8760 hour normalization sequence, as shown in fig. 3-4, includes a wind power and photovoltaic output year 8760 hour normalization sequence diagram in the power grid; the new energy annual monthly grid-connected capacity, the type of the thermal power generating unit, the number of the thermal power generating units, the single unit capacity of the thermal power generating unit, the annual minimum starting mode of the thermal power generating unit, the upper and lower output limits of the thermal power generating unit, the maximum output rate of the thermal power generating unit changing within 1min, the requirements of a regional power grid on the new energy utilization level, other power supply structure data and the like are shown in the following table.
TABLE 1 Transmission section quota between new energy blocked areas inside regional grid
| Line numbering | Section of power transmission | Upper limit of transmission power (MW) |
| L1 | Region 1-region 2 (region 2-region 1) | 1800 |
| L2 | Region 2-region 3 (region 3-region 2) | 1500 |
TABLE 2 thermal power generating unit parameters in regional grids
2) Giving the initial configuration scale of the regional power grid energy storage and related parameters;
giving the initial configuration scale of energy storage and related parameters of each region, wherein the initial configuration scale of energy storage comprises energy storage inverter power, energy storage battery capacity, energy storage charging efficiency, energy storage discharging efficiency, energy storage battery minimum charge state, energy storage battery maximum charge state, inverter unit capacity construction cost, battery unit capacity construction cost and the like; the fully charged time of the energy storage battery was 4 hours as shown in tables 3-5 below.
TABLE 3 regional energy storage battery parameters in regional grids
| Energy storage | Region | 1 | Region 2 | Region 3 |
| Efficiency of charging | 0.92 | 0.92 | 0.92 | |
| Efficiency of discharge | 0.92 | 0.92 | 0.92 | |
| Minimum state of |
0 | 0 | 0 | |
| Maximum state of |
1 | 1 | 1 |
Table 4 energy storage cell construction cost parameters
| Construction cost of inverter per unit capacity (Wanyuan/MW) | 85 |
| Construction cost per unit capacity of battery (Wanyuan/MWh) | 218 |
TABLE 5 initial capacity allocation of energy storage in each new energy blocked area
| Energy storage | Region | 1 | Region 2 | Region 3 |
| Inverter power (MW) | 4000 | 4000 | 4000 | |
| Battery capacity (MWh) | 16000 | 16000 | 16000 |
3) Establishing an optimized scheduling model taking the year as a time period, establishing a mixed integer planning model by taking the maximum new energy consumption of the system as an optimized target, wherein the model constraints comprise regional load balance constraint, rotary standby constraint, regional power grid internal transmission section capacity constraint, system scheduling instruction constraint, thermal power unit operation number constraint, thermal power unit operation state constraint, thermal power unit generation power ramp rate constraint, new energy output constraint, energy storage charging and discharging state constraint, energy storage charging and discharging power constraint, energy storage SOC state constraint and the like.
And the investment cost of reasonably and optimally configuring the energy storage can be calculated by combining the construction cost of the energy storage inverter and the unit capacity of the battery. In this case, the new energy utilization requirement of the system is more than 90%, and the energy storage configuration scales in the three regions are shown in the following table.
TABLE 6 energy storage allocation Scale in three regions
| Energy storage | Region | 1 | Region 2 | Region 3 |
| Inverter power (MW) | 2400 | 2500 | 2400 | |
| Battery capacity (MWh) | 9600 | 10000 | 9600 |
At the moment, the energy storage investment cost of the regional power grid is 6,986,100 ten thousand yuan.
The present invention is not limited to the above-mentioned preferred embodiments, and any structural changes made under the teaching of the present invention shall fall within the protection scope of the present invention, which has the same or similar technical solutions as the present invention.
Claims (7)
1. An energy storage capacity optimal configuration method suitable for large-scale new energy grid-connected consumption is characterized by comprising the following steps:
determining regional power grid calculation parameters and generating a new energy blocked region set; determining the initial configuration scale of the regional power grid energy storage and related parameters thereof; establishing an optimized scheduling model;
determining the maximum consumption of the new energy of the power grid in the current blocked new energy region; updating an energy storage configuration scale optimization interval;
judging whether the system energy storage configuration scale needs to be updated or not, if so, updating the system energy storage configuration scale, and re-determining the maximum new energy consumption of the power grid in the current new energy blocked area; if the new energy blocked area set does not need to be updated, judging whether the new energy blocked area set traverses or not, if all elements in the new energy blocked area set traverse, determining and outputting the power of an energy storage inverter, the battery capacity and the configuration energy storage investment cost, and if the new energy blocked area set does not traverse completely, re-determining the maximum new energy consumption of the power grid of the current new energy blocked area;
the regional power grid calculation parameters comprise new energy blocked regions in the regional power grid; the system comprises a whole-network positive/negative spare capacity level, a regional power grid heating time, a whole-year plan sequence of a connecting line between the regional power grid and an external power grid, a whole-year load sequence of the regional power grid, a whole-year output normalization sequence of new energy and a whole-year monthly grid-connected capacity of the new energy;
the method comprises the following steps of (1) determining the type of a thermal power generating unit, the number of the thermal power generating units, the single unit capacity of the thermal power generating unit, the annual minimum starting mode of the thermal power generating unit, the upper and lower output limits of the thermal power generating unit, the maximum output rate of the thermal power generating unit changing within 1min, and the requirements of a regional power grid on the utilization level of new energy;
the related parameters comprise energy storage inverter power, energy storage battery capacity, energy storage charging efficiency, energy storage discharging efficiency, energy storage battery minimum charge state, energy storage battery maximum charge state, inverter unit capacity construction cost and battery unit capacity construction cost.
2. The method of claim 1, wherein the establishing an optimized scheduling model specifically comprises:
establishing an optimized scheduling model taking the year as a time period, wherein the maximum new energy consumption of the system is an optimized target, and establishing a mixed integer programming model;
the objective function is as follows:
wherein the content of the first and second substances,
for the generated power of the wind turbine in the region n at the time t,
the generated power of the photovoltaic units in the region N at the T-th moment is shown, N is the number of new energy blocked regions, and T is the number of optimized time periods；
The hybrid integer programming model constraints comprise regional load balance constraints, rotation standby constraints, regional power grid internal transmission section capacity constraints, system scheduling instruction constraints, thermal power unit operation number constraints, thermal power unit operation state constraints, thermal power unit power generation power ramp rate constraints, new energy output constraints, energy storage charging and discharging state constraints, energy storage charging and discharging power constraints and energy storage SOC state constraints.
3. The method of claim 1, wherein the determining the maximum new energy consumption of the grid in the current new energy blocked area comprises:
and solving an optimized scheduling model taking the year as a time period under the current boundary condition by adopting a time sequence production simulation method, and determining the maximum new energy consumption of the regional power grid under the current boundary condition.
4. The method of claim 1, wherein the updating the energy storage configuration size optimization interval comprises the steps of:
judging whether the current new energy blocked area is a first energy storage configuration scale updating interval or not, if so, updating the left end point of the energy storage configuration scale optimizing interval to be 0, and updating the right end point to be the initial configuration scale of the energy storage in the current new energy blocked area;
and if the current new energy blocked area is not the first energy storage configuration scale optimization interval, judging whether the new energy utilization rate of the system under the current energy storage configuration scale can meet the requirement to update the energy storage configuration scale optimization interval, and if the new energy utilization rate of the system under the current energy storage configuration scale can meet the requirement, updating the current energy storage configuration scale to be the right end point of the energy storage configuration scale optimization interval, otherwise, updating the current energy storage configuration scale to be the left end point of the energy storage configuration scale optimization interval.
5. The method of claim 4, wherein the energy storage configuration size optimization interval comprises:
the energy storage inverter power optimization interval and the battery capacity optimization interval.
6. The method of claim 5, wherein the determining whether the system energy storage configuration size needs to be updated comprises the steps of:
and determining the length of the current energy storage inverter power optimization interval according to the updated energy storage configuration scale optimization interval, and if the length is not less than a preset value, updating the system energy storage configuration scale.
7. The method of claim 1, wherein the updating the system energy storage configuration is scaled to employ a dichotomy or trial and error.
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