CN116805792B - Thermal power-energy storage regulation demand judging method and system in high-proportion new energy system - Google Patents
Thermal power-energy storage regulation demand judging method and system in high-proportion new energy system Download PDFInfo
- Publication number
- CN116805792B CN116805792B CN202310741195.4A CN202310741195A CN116805792B CN 116805792 B CN116805792 B CN 116805792B CN 202310741195 A CN202310741195 A CN 202310741195A CN 116805792 B CN116805792 B CN 116805792B
- Authority
- CN
- China
- Prior art keywords
- power
- energy storage
- thermal
- balance
- max
- 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.)
- Active
Links
- 238000004146 energy storage Methods 0.000 title claims abstract description 94
- 238000000034 method Methods 0.000 title claims abstract description 36
- 230000008901 benefit Effects 0.000 claims abstract description 44
- 238000004364 calculation method Methods 0.000 claims abstract description 8
- 238000010276 construction Methods 0.000 claims description 23
- 238000006467 substitution reaction Methods 0.000 claims description 12
- 230000005611 electricity Effects 0.000 claims description 11
- 238000009434 installation Methods 0.000 claims description 8
- 230000003319 supportive effect Effects 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 claims description 6
- ZZUFCTLCJUWOSV-UHFFFAOYSA-N furosemide Chemical compound C1=C(Cl)C(S(=O)(=O)N)=CC(C(O)=O)=C1NCC1=CC=CO1 ZZUFCTLCJUWOSV-UHFFFAOYSA-N 0.000 claims description 6
- 238000007599 discharging Methods 0.000 claims description 5
- KUAZQDVKQLNFPE-UHFFFAOYSA-N thiram Chemical compound CN(C)C(=S)SSC(=S)N(C)C KUAZQDVKQLNFPE-UHFFFAOYSA-N 0.000 claims description 2
- 230000008569 process Effects 0.000 abstract description 4
- 238000010248 power generation Methods 0.000 description 9
- 238000010586 diagram Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 3
- 230000006872 improvement Effects 0.000 description 3
- 238000013211 curve analysis Methods 0.000 description 2
- 238000005265 energy consumption Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000003139 buffering effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Landscapes
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a thermal power-energy storage regulation demand judging method in a high-proportion new energy system, which comprises the steps of obtaining data information of a target power system; constructing a power balance expression; judging the electric quantity balance state of the target electric power system under a typical day; constructing a power demand constraint condition of the target power system when the peak load is met; constructing a supporting power supply capacity benefit index and a supporting power supply capacity replacement benefit index; and finishing judgment of thermal power-energy storage regulation requirements in the high-proportion new energy system. The invention also discloses a system for realizing the thermal power-energy storage regulation demand judging method in the high-proportion new energy system. The invention not only realizes the judgment of the thermal power-energy storage regulation requirement in a high-proportion new energy system through the innovative judgment process and calculation index, but also has high reliability, good accuracy and objectivity and science based on objective power system data and calculated indexes.
Description
Technical Field
The invention belongs to the field of electric automation, and particularly relates to a thermal power-energy storage regulation demand judging method and system in a high-proportion new energy system.
Background
Along with the development of economic technology and the improvement of living standard of people, electric energy becomes an indispensable secondary energy source in the production and living of people, and brings endless convenience to the production and living of people. Therefore, ensuring stable and reliable supply of electric energy becomes one of the most important tasks of the electric power system.
At present, as a new energy power generation system is integrated into a power grid, the permeability of new energy power generation is continuously improved; however, the characteristics of intermittence, volatility and randomness of new energy power generation can cause net load fluctuation of a power grid. This presents a great challenge for safe and stable operation of the power system.
With the construction of a novel power system and the improvement of the proportion of new energy sources, the basic supporting power supply of the power system possibly has the condition of insufficient capacity, so that the cross-period and cross-season allocation capacity is insufficient, the continuous peak operation pressure of the power system is large, and the continuous peak operation pressure is insufficient to meet the requirement of electric power and electric quantity balance, so that the safe and stable operation of the power system is influenced. At present, the traditional thermal power generating unit is carrying out corresponding performance improvement and flexibility transformation, and the application of the energy storage technology also brings a feasible solution for the peak clipping and valley filling of the thermal power generating unit. However, excessive configuration energy storage can not effectively reduce the installation scale of a supporting power supply such as a thermal power unit and the like, and can also reduce the economical efficiency and the efficiency of the system operation.
Therefore, the existing power system often uses a thermal power-energy storage mode to regulate the load of the power system. However, the conventional judging mode of the thermal power-energy storage regulating mode of the electric power system still adopts a simple artificial subjective judging scheme; obviously, the scheme of artificial subjective judgment is poor in reliability and consistency, extremely strong in subjectivity and lacks corresponding judgment basis.
Disclosure of Invention
The invention aims to provide a thermal power-energy storage regulation demand judging method in a high-proportion new energy system, which is high in reliability, good in accuracy, objective and scientific.
The second purpose of the invention is to provide a system for realizing the thermal power-energy storage regulation demand judging method in the high-proportion new energy system.
The invention provides a thermal power-energy storage regulation demand judging method in a high-proportion new energy system, which comprises the following steps:
S1, acquiring data information of a target power system;
S2, constructing a power balance expression according to the data information acquired in the step S1;
s3, judging the electric quantity balance state of the target electric power system under a typical day;
s4, constructing an electric power demand constraint condition of the target electric power system when the peak load is met;
s5, constructing a supporting power supply capacity benefit index and a supporting power supply capacity replacement benefit index according to the obtained data result;
s6, according to the index obtained in the step S5, judging the thermal power-energy storage regulation requirement in the high-proportion new energy system is completed.
The step S2 of constructing a power balance expression according to the data information acquired in the step S1 specifically includes the following steps:
The following formula is used as the power balance expression:
Pthermal(t)＝PL(t)-PESS(t)
Wherein P thermal (t) is the output of the thermal power unit; p ESS (t) is energy storage power, P ESS (t) is a negative value when the energy storage device is charged, and P ESS (t) is a positive value when the energy storage device is discharged; p L (t) is the load required by a target power system, the expression is PL(t)＝Pload(t)-(Phydro(t)+PRES(t)+PDC(t)+Pregion(t)+Pgas(t)),Pload(t), P hydro (t) is the power of a hydroelectric generating set, P RES (t) is the power of wind power and photovoltaic, P DC (t) is direct current power, P DC (t) is positive when the direct current power is sent into the power system, P DC (t) is negative when the direct current power is sent out of the power system, P region (t) is the power of an alternating current connecting line between regional power grids, P gas (t) is gas electric power, P gas (t) is positive when the gas electric power is sent into the power system, and P gas (t) is negative when the gas electric power is sent out of the power system.
The step S3 of determining the state of charge balance of the target power system under a typical day specifically includes the following steps:
the following rules are adopted to judge the state of charge balance of a target power system under a typical day:
Wherein P thermal.max is the maximum output of the thermal power unit of the system; Δt is a set period of time; n is the total number of time periods; delta is energy storage efficiency; (P thermal.max-PL(t))＞0 represents a value greater than 0 in P thermal.max-PL (t), and (P thermal.max-PL(t))＜0 represents a value less than 0 in P thermal.max-PL (t);
if the target power system meets the rule, the electric quantity balance under the typical day can be met through the energy storage configuration under the condition that the target power system is installed in the existing thermal power installation;
if the target power system does not meet the rule, the target power system is indicated to need to increase the installed capacity of the thermal power generating unit so as to meet the electric quantity balance of the target power system under the typical day.
The power demand constraint condition of the building target power system in the step S4 when the peak load is satisfied specifically includes the following steps:
the power demand constraint at peak load is constructed using the following equation:
PL(t)-Pthermal.max≤PESS(t)≤0
PESS(t)≥max(PL(t)-Pthermal,max)＞0
-PESS,max≤PESS(t)≤PESS,max
Pthermal(t)≥βPthermal,max
Wpeak≤tt·PESS,max
Wherein beta is the minimum output proportion of the thermal power unit; p ESS,max is the maximum value of the stored charge or discharge power; w peak is the electric quantity which is lack in the peak load time; t t is the charge or discharge time of the stored energy full power.
And step S5, constructing a supporting power supply capacity benefit index and a supporting power supply capacity replacement benefit index according to the obtained data result, wherein the method specifically comprises the following steps of:
the following formula is adopted to calculate the supporting power supply capacity benefit index eta:
Wherein DeltaP thermal is the added capacity of the thermal power installation obtained by theoretical analysis and calculation; Δp' thermal is the actual increased thermal power plant capacity;
if the target power system still cannot meet the requirement of the power balance constraint condition after the capacity of the thermal power unit is increased, the problem of power and electricity balance of the system under a typical load day is solved by configuring an energy storage device;
after the energy storage device is added, the following formula is adopted to calculate the supportive power source capacity substitution benefit index alpha:
Wherein P ESS,in,max is the maximum charging power of the stored energy; p ESS,out,max is the energy storage maximum discharge power; p ESS,max is the energy storage configuration capacity.
And step S6, finishing judgment of thermal power-energy storage regulation requirements in the high-proportion new energy system according to the index obtained in the step S5, and specifically comprising the following steps:
The supporting power supply replacement benefit rate index lambda is calculated by adopting the following formula:
wherein alpha is a supporting power supply capacity substitution benefit index; η is a supportive power source capacity benefit index;
According to the calculated supported power supply replacement benefit rate index lambda, judging:
The value of lambda is equal to 1, which indicates that the capacity benefit of the energy storage unit and the thermal power unit is the same;
the closer the value of λ is to 1, the higher the backup power substitution efficiency of the stored energy;
the further the value of λ is from 1, the lower the backup power substitution efficiency of the stored energy.
The invention also provides a system for realizing the thermal power-energy storage regulation demand judging method in the high-proportion new energy system, which comprises a data acquisition module, a balance expression module, a balance judging module, a constraint construction module, an index construction module and a judging module; the data acquisition module, the balance expression module, the balance judgment module, the constraint construction module, the index construction module and the judgment module are sequentially connected in series; the data acquisition module is used for acquiring data information of the target power system and uploading the data to the balance expression module; the balance expression module is used for constructing a power balance expression according to the received data and uploading the data to the balance judgment module; the balance judging module is used for judging the electric quantity balance state of the target power system under the typical day according to the received data, and uploading the data to the constraint construction module; the constraint construction module is used for constructing power demand constraint conditions of the target power system when the peak load is met according to the received data, and uploading the data to the index construction module; the index construction module is used for constructing a supporting power supply capacity benefit index and a supporting power supply capacity replacement benefit index according to the received data, and uploading the data to the judging module; the judging module is used for finishing judging the thermal power-energy storage regulation requirement in the high-proportion new energy system according to the received data.
According to the thermal power-energy storage regulation demand judging method and system in the high-proportion new energy system, through the innovative judging process and calculation indexes, judgment of the thermal power-energy storage regulation demand in the high-proportion new energy system is achieved, and the thermal power-energy storage regulation demand judging method and system are based on objective power system data and calculated indexes, and are high in reliability, good in accuracy, objective and scientific.
Drawings
FIG. 1 is a schematic flow chart of the method of the present invention.
Fig. 2 is a schematic diagram of a full-element curve of an electric power system under a typical heavy load day of a provincial power grid 2015 according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a full-factor curve of the electric power system after increasing the capacity of the thermal power unit according to the embodiment of the method of the invention.
Fig. 4 is a schematic diagram of a power generation load curve required by the system after the power generation of the water power, the new energy, the ac/dc link line and the gas power is withheld by the method according to the embodiment of the invention.
FIG. 5 is a schematic diagram of functional modules of the system of the present invention.
Detailed Description
A schematic process flow diagram of the method of the present invention is shown in fig. 1: the invention discloses a thermal power-energy storage regulation demand judging method in a high-proportion new energy system, which comprises the following steps:
S1, acquiring data information of a target power system;
S2, constructing a power balance expression according to the data information acquired in the step S1; the method specifically comprises the following steps:
With the large-scale development of new energy, the new energy is an important provider of electric power and electricity quantity and has a quite degree of networking capability, while the thermal power serving as a conventional power supply is gradually turned, adjusted and supported, and an electric power balance mode is balanced in a larger space and a larger time scale range by turning and storing energy by power generation/power utilization balance of power supply with load, and converting multiple energy to participate in buffering; therefore, the energy storage is used as a key technology for solving the problems of large-scale access and consumption of renewable energy sources, and is required to participate in power and electricity balance analysis and power grid adjustment capability analysis, so that the influence of thermal power-energy storage configuration on the power and electricity balance of the system is required to be comprehensively considered;
The following formula is used as the power balance expression:
Pthermal(t)＝PL(t)-PESS(t)
Wherein P thermal (t) is the output of the thermal power unit; p ESS (t) is energy storage power, P ESS (t) is a negative value when the energy storage device is charged, and P ESS (t) is a positive value when the energy storage device is discharged; p L (t) is the load required by a target power system, the expression is PL(t)＝Pload(t)-(Phydro(t)+PRES(t)+PDC(t)+Pregion(t)+Pgas(t)),Pload(t), P hydro (t) is the power of a hydroelectric generating set, P RES (t) is the power of wind power and photovoltaic, P DC (t) is direct current power, P DC (t) is positive when the direct current power is sent into the power system, P DC (t) is negative when the direct current power is sent out of the power system, P region (t) is the power of an alternating current connecting line between regional power grids, P gas (t) is gas electric power, P gas (t) is positive when the gas electric power is sent into the power system, and P gas (t) is negative when the gas electric power is sent out of the power system;
S3, judging the electric quantity balance state of the target electric power system under a typical day; the method specifically comprises the following steps:
In order to meet the power and electric quantity support of peak load, the energy storage not only needs to meet the power demand at the moment of peak load, but also needs to have enough electric energy (electric quantity) to be chargeable, namely a power supply which can provide the required electric energy (electric quantity) at a certain scale is needed; the chargeable quantity is larger than or equal to the electric quantity demand of the system at the peak load moment, and the energy storage efficiency needs to be considered in calculation; the following rules are adopted to judge the state of charge balance of a target power system under a typical day:
Wherein P thermal.max is the maximum output of the thermal power unit of the system; Δt is a set period of time; n is the total number of time periods; delta is energy storage efficiency, and the value is usually 0.7-0.9; (P thermal.max-PL(t))＞0 represents a value greater than 0 in P thermal.max-PL (t), and (P thermal.max-PL(t))＜0 represents a value less than 0 in P thermal.max-PL (t);
in specific implementation, Δt is generally 0.25h, so N is 96;
if the target power system meets the rule, the electric quantity balance under the typical day can be met through the energy storage configuration under the condition that the target power system is installed in the existing thermal power installation;
if the target power system does not meet the rule, the target power system is required to increase the installed capacity of the thermal power unit so as to meet the electric quantity balance of the target power system under the typical day;
s4, constructing an electric power demand constraint condition of the target electric power system when the peak load is met; the method specifically comprises the following steps:
the power demand constraint at peak load is constructed using the following equation:
PL(t)-Pthermal.max≤PESS(t)≤0
PESS(t)≥max(PL(t)-Pthermal,max)＞0
-PESS,max≤PESS(t)≤PESS,max
Pthermal(t)≥βPthermal,max
Wpeak≤tt·PESS,max
Wherein beta is the minimum output proportion of the thermal power unit; p ESS,max is the maximum value of the stored charge or discharge power; w peak is the electric quantity which is lack in the peak load time; t t is the charging or discharging time of the full power of the stored energy, which is generally 2 hours, 4 hours or 6 hours;
The first constraint condition indicates that the actual power charging power of the energy storage is smaller than or equal to the surplus power of the system in the load valley period, and the energy storage configuration requirement is met by combining the power supply protection in the peak load period, so that the problem of energy storage system economy caused by excessive configuration of energy storage can be avoided; the second constraint condition indicates that the actual discharge power of the energy storage must be greater than or equal to the maximum power shortage at the moment of the peak load, so that the power balance requirement of the load peak time can be met; the third constraint condition represents the power constraint of energy storage charge and discharge;
S5, constructing a supporting power supply capacity benefit index and a supporting power supply capacity replacement benefit index according to the obtained data result; the method specifically comprises the following steps:
the following formula is adopted to calculate the supporting power supply capacity benefit index eta:
wherein DeltaP thermal is the added capacity of the thermal power installation obtained by theoretical analysis and calculation; Δp t'hermal is the actual increased thermal power plant capacity;
In the specific implementation, considering that the capacity of a single unit is usually 600 megawatts or 1000 megawatts when a new thermal power installation is added to the current power system, the calculation formula of the supporting power supply capacity benefit index eta can be modified into A is the number of 600 megawatt thermal power units added, b is the number of 1000 megawatt thermal power units added;
Aiming at the supportive power supply capacity benefit index eta:
the closer eta is to 1, the better the balance of the electric power and the electric quantity of the system can be met by increasing the capacity of the thermal power unit under the condition of not considering configuration energy storage, and the better the capacity benefit is;
The closer eta is to 0, which means that the capacity of the thermal power unit is increased to meet the power and electricity balance of the system, but the capacity benefit is poor;
if the target power system still cannot meet the requirement of the power balance constraint condition after the capacity of the thermal power unit is increased, the problem of power and electricity balance of the system under a typical load day is solved by configuring an energy storage device;
after the energy storage device is added, the following formula is adopted to calculate the supportive power source capacity substitution benefit index alpha:
Wherein P ESS,in,max is the maximum charging power of the stored energy; p ESS,out,max is the energy storage maximum discharge power; p ESS,max is the energy storage configuration capacity;
S6, finishing judgment of thermal power-energy storage regulation requirements in the high-proportion new energy system according to the indexes obtained in the step S5; the method specifically comprises the following steps:
The supporting power supply replacement benefit rate index lambda is calculated by adopting the following formula:
wherein alpha is a supporting power supply capacity substitution benefit index; η is a supportive power source capacity benefit index;
According to the calculated supported power supply replacement benefit rate index lambda, judging:
The value of lambda is equal to 1, which indicates that the capacity benefits of the energy storage and the thermal power unit are the same, and from the viewpoint of safe and stable operation of the system, the power and electricity balance of the system can be maintained by increasing the capacity of the thermal power unit;
The closer the value of lambda is to 1, the higher the substitution efficiency of the supporting power supply for representing energy storage is, and meanwhile, the new energy consumption capacity is improved due to the configuration of the energy storage;
the further the value of λ is from 1, the lower the backup power substitution efficiency of the stored energy.
The method of the invention is further described in connection with one embodiment as follows:
Taking the operation condition of a provincial power grid 2015 under a typical heavy load day as an example, the power and electricity balance condition and the required energy storage capacity of the system 2015 are analyzed. The system curve of the provincial power grid 2015 under a typical heavy load day is shown in fig. 2, and 15 minutes are taken as intervals. Minimum output proportion beta=33% of the thermal power generating unit of the system, and energy storage efficiency delta=75%.
Under initial conditions, the maximum capacity output of the thermal power unit is 23000MW, under which conditions the chargeable amount of the system is 10179.3MWh, and the discharge electric quantity during a typical heavy load day peak load period is 28914.5MWh. Therefore, under the condition of the capacity of the existing thermal power unit, the electric quantity balance of the system cannot be met, and meanwhile, the electric quantity balance of the system cannot be met, and the capacity of the thermal power unit needs to be increased to meet the constraint condition, namely the electric quantity balance constraint under the typical heavy load day.
As can be seen from the calculation, when the 1000MW thermal power unit assembly capacity is increased, the full factor curve of the system is shown in fig. 3. As shown by curve analysis in the graph, the chargeable amount of the system on a typical heavy load day is 19929.3MWh, the required discharge electric quantity during the load peak period is 14664.5MWh, and the electric quantity balance constraint on the typical heavy load day can be met based on 14946.9MWh of the chargeable amount under the chargeable amount condition in consideration of the energy storage charging and discharging efficiency.
The power generation load curve required by the system after water power, new energy, AC/DC interconnecting lines and gas power generation are withheld is shown in figure 4.
As can be seen from fig. 4, the maximum power shortage of the system is 1940.47MW during peak load. The minimum load value of the power generation load curve required by the system after deduction is 20869.08MW, which is larger than 8000MW of the minimum output constraint of the thermal power unit.
When the configuration energy storage is not considered, the thermal power unit capacity which is calculated theoretically and needs to be increased is the maximum power shortage value. According to the type of the existing thermal power generating unit, at the moment, the system needs to be added with 2 1000MW thermal power generating units, and the power and electricity requirements under a typical heavy load day can be met in 2025. Thus can be calculated to
When considering configuration of energy storage, the initial energy storage capacity is configured to be at least 1940MW according to the maximum power shortage in the load peak period, so that the power balance constraint in the load peak period can be met. But at the same time, the electric quantity balance constraint needs to be met, so that according to the electric quantity which is lack in the peak load time, the energy storage configuration capacity after the energy storage conversion efficiency delta=75% is considered to be 3320MW;
according to the actual curve analysis, the maximum charging power in the energy storage charging process after the energy storage is configured to be 3130MW, the maximum discharging power is 1940MW, the power balance constraint of the system in the peak load period can be met, and meanwhile the energy storage charging and discharging also meet the power constraint condition. Therefore, the supporting power supply capacity replacement benefit index alpha and the supporting power supply replacement benefit index lambda can be calculated:
Therefore, the replacement benefit rate of the energy storage supporting power supply can be 97%, the energy storage replacing supporting power supply can play a good role in the balance of the electric power and the electric quantity of the system, and meanwhile, the energy storage of a certain scale can be configured, so that the new energy consumption level can be improved. Therefore, the method provided by the invention reduces the capacity requirement of the thermal power unit through energy storage configuration, improves the peak regulation capacity and the cross-period and cross-season regulation capacity of the system, solves the problems of unbalanced electric power and electricity quantity and power supply protection of the system caused by load characteristics, is beneficial to the construction of a novel electric power system and a thermal power-new energy-energy storage supporting power supply, further provides a scientific and reasonable analysis method for system staff, and has very important significance in engineering practice, power grid planning construction, energy power safety and the like.
FIG. 5 is a schematic diagram of functional modules of the system of the present invention: the system for realizing the thermal power-energy storage regulation demand judging method in the high-proportion new energy system comprises a data acquisition module, a balance expression module, a balance judging module, a constraint building module, an index building module and a judging module; the data acquisition module, the balance expression module, the balance judgment module, the constraint construction module, the index construction module and the judgment module are sequentially connected in series; the data acquisition module is used for acquiring data information of the target power system and uploading the data to the balance expression module; the balance expression module is used for constructing a power balance expression according to the received data and uploading the data to the balance judgment module; the balance judging module is used for judging the electric quantity balance state of the target power system under the typical day according to the received data, and uploading the data to the constraint construction module; the constraint construction module is used for constructing power demand constraint conditions of the target power system when the peak load is met according to the received data, and uploading the data to the index construction module; the index construction module is used for constructing a supporting power supply capacity benefit index and a supporting power supply capacity replacement benefit index according to the received data, and uploading the data to the judging module; the judging module is used for finishing judging the thermal power-energy storage regulation requirement in the high-proportion new energy system according to the received data.
Claims (2)
1. A thermal power-energy storage regulation demand judging method in a high-proportion new energy system comprises the following steps:
S1, acquiring data information of a target power system;
S2, constructing a power balance expression according to the data information acquired in the step S1; the method specifically comprises the following steps:
The following formula is used as the power balance expression:
Pthermal(t)＝PL(t)-PESS(t)
Wherein P thermal (t) is the output of the thermal power unit; p ESS (t) is energy storage power, P ESS (t) is a negative value when the energy storage device is charged, and P ESS (t) is a positive value when the energy storage device is discharged; p L (t) is the load required by a target power system, the expression is PL(t)＝Pload(t)-(Phydro(t)+PRES(t)+PDC(t)+Pregion(t)+Pgas(t)),Pload(t), P hydro (t) is the power of a hydroelectric generating set, P RES (t) is the power of wind power and photovoltaic, P DC (t) is direct current power, P DC (t) is positive when the direct current power is sent into the power system, P DC (t) is negative when the direct current power is sent out of the power system, P region (t) is the power of an alternating current connecting line between regional power grids, P gas (t) is gas electric power, P gas (t) is positive when the gas electric power is sent into the power system, and P gas (t) is negative when the gas electric power is sent out of the power system;
S3, judging the electric quantity balance state of the target electric power system under a typical day; the method specifically comprises the following steps:
the following rules are adopted to judge the state of charge balance of a target power system under a typical day:
Wherein P thermal.max is the maximum output of the thermal power unit of the system; Δt is a set period of time; n is the total number of time periods; delta is energy storage efficiency; (P thermal.max-PL(t))＞0 represents a value greater than 0 in P thermal.max-PL (t), and (P thermal.max-PL(t))＜0 represents a value less than 0 in P thermal.max-PL (t);
if the target power system meets the rule, the electric quantity balance under the typical day can be met through the energy storage configuration under the condition that the target power system is installed in the existing thermal power installation;
if the target power system does not meet the rule, the target power system is required to increase the installed capacity of the thermal power unit so as to meet the electric quantity balance of the target power system under the typical day;
s4, constructing an electric power demand constraint condition of the target electric power system when the peak load is met; the method specifically comprises the following steps:
the power demand constraint at peak load is constructed using the following equation:
PL(t)-Pthermal.max≤PESS(t)≤0
PESS(t)≥max(PL(t)-Pthermal,max)＞0
-PESS,max≤PESS(t)≤PESS,max
Pthermal(t)≥βPthermal,max
Wpeak≤tt·PESS,max
Wherein beta is the minimum output proportion of the thermal power unit; p ESS,max is the maximum value of the stored charge or discharge power; w peak is the electric quantity which is lack in the peak load time; t t is the charging or discharging time of the stored energy full power;
The first constraint condition indicates that the actual power charging power of the energy storage is smaller than or equal to the surplus power of the system in the load valley period, and the energy storage configuration requirement is met by combining the power supply protection in the peak load period, so that the problem of energy storage system economy caused by excessive configuration of energy storage is avoided; the second constraint condition indicates that the actual discharge power of the energy storage must be greater than or equal to the maximum power shortage at the moment of the peak load, so as to meet the power balance requirement in the peak load period; the third constraint condition represents the power constraint of energy storage charge and discharge;
S5, constructing a supporting power supply capacity benefit index and a supporting power supply capacity replacement benefit index according to the obtained data result; the method specifically comprises the following steps:
the following formula is adopted to calculate the supporting power supply capacity benefit index eta:
wherein DeltaP thermal is the added capacity of the thermal power installation obtained by theoretical analysis and calculation; Δp t'hermal is the actual increased thermal power plant capacity;
if the target power system still cannot meet the requirement of the power balance constraint condition after the capacity of the thermal power unit is increased, the problem of power and electricity balance of the system under a typical load day is solved by configuring an energy storage device;
after the energy storage device is added, the following formula is adopted to calculate the supportive power source capacity substitution benefit index alpha:
Wherein P ESS,in,max is the maximum charging power of the stored energy; p ESS,out,max is the energy storage maximum discharge power; p ESS,max is the energy storage configuration capacity;
S6, finishing judgment of thermal power-energy storage regulation requirements in the high-proportion new energy system according to the indexes obtained in the step S5; the method specifically comprises the following steps:
The supporting power supply replacement benefit rate index lambda is calculated by adopting the following formula:
wherein alpha is a supporting power supply capacity substitution benefit index; η is a supportive power source capacity benefit index;
According to the calculated supported power supply replacement benefit rate index lambda, judging:
The value of lambda is equal to 1, which indicates that the capacity benefit of the energy storage unit and the thermal power unit is the same;
the closer the value of λ is to 1, the higher the backup power substitution efficiency of the stored energy;
the further the value of λ is from 1, the lower the backup power substitution efficiency of the stored energy.
2. A system for realizing the thermal power-energy storage regulation demand judging method in the high-proportion new energy system according to claim 1, which is characterized by comprising a data acquisition module, a balance expression module, a balance judging module, a constraint constructing module, an index constructing module and a judging module; the data acquisition module, the balance expression module, the balance judgment module, the constraint construction module, the index construction module and the judgment module are sequentially connected in series; the data acquisition module is used for acquiring data information of the target power system and uploading the data to the balance expression module; the balance expression module is used for constructing a power balance expression according to the received data and uploading the data to the balance judgment module; the balance judging module is used for judging the electric quantity balance state of the target power system under the typical day according to the received data, and uploading the data to the constraint construction module; the constraint construction module is used for constructing power demand constraint conditions of the target power system when the peak load is met according to the received data, and uploading the data to the index construction module; the index construction module is used for constructing a supporting power supply capacity benefit index and a supporting power supply capacity replacement benefit index according to the received data, and uploading the data to the judging module; the judging module is used for finishing judging the thermal power-energy storage regulation requirement in the high-proportion new energy system according to the received data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310741195.4A CN116805792B (en) | 2023-06-21 | 2023-06-21 | Thermal power-energy storage regulation demand judging method and system in high-proportion new energy system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310741195.4A CN116805792B (en) | 2023-06-21 | 2023-06-21 | Thermal power-energy storage regulation demand judging method and system in high-proportion new energy system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116805792A CN116805792A (en) | 2023-09-26 |
| CN116805792B true CN116805792B (en) | 2024-06-11 |
Family
ID=88079341
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310741195.4A Active CN116805792B (en) | 2023-06-21 | 2023-06-21 | Thermal power-energy storage regulation demand judging method and system in high-proportion new energy system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116805792B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006195848A (en) * | 2005-01-14 | 2006-07-27 | Electric Power Dev Co Ltd | Method of analyzing determinant for contract price in electric power transaction market and computer program for analysis |
| CN104268800A (en) * | 2014-09-30 | 2015-01-07 | 清华大学 | Wind power integration peak-load regulating balance judgment method based on scene library |
| JP2019213374A (en) * | 2018-06-06 | 2019-12-12 | 三菱電機株式会社 | Power generation plan formulation device |
| CN110659824A (en) * | 2019-09-23 | 2020-01-07 | 广西电网有限责任公司 | Method and device for measuring and calculating electric quantity balance |
| CN115013340A (en) * | 2022-05-19 | 2022-09-06 | 西安热工研究院有限公司 | Early warning method and device for adjusting fault of movable blade of axial flow fan of thermal power plant |
| CN115425664A (en) * | 2022-08-03 | 2022-12-02 | 贵州电网有限责任公司 | Power distribution network electric quantity balancing method considering energy storage configuration and demand side management |
| CN115511180A (en) * | 2022-09-27 | 2022-12-23 | 国网湖南省电力有限公司 | Optimal configuration method and system for flexible resources of power system |
| WO2023082223A1 (en) * | 2021-11-15 | 2023-05-19 | 苏州树森信息科技有限公司 | Energy and auxiliary service joint optimization method considering frequency modulation mileage demand constraint |
-
2023
- 2023-06-21 CN CN202310741195.4A patent/CN116805792B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006195848A (en) * | 2005-01-14 | 2006-07-27 | Electric Power Dev Co Ltd | Method of analyzing determinant for contract price in electric power transaction market and computer program for analysis |
| CN104268800A (en) * | 2014-09-30 | 2015-01-07 | 清华大学 | Wind power integration peak-load regulating balance judgment method based on scene library |
| JP2019213374A (en) * | 2018-06-06 | 2019-12-12 | 三菱電機株式会社 | Power generation plan formulation device |
| CN110659824A (en) * | 2019-09-23 | 2020-01-07 | 广西电网有限责任公司 | Method and device for measuring and calculating electric quantity balance |
| WO2023082223A1 (en) * | 2021-11-15 | 2023-05-19 | 苏州树森信息科技有限公司 | Energy and auxiliary service joint optimization method considering frequency modulation mileage demand constraint |
| CN115013340A (en) * | 2022-05-19 | 2022-09-06 | 西安热工研究院有限公司 | Early warning method and device for adjusting fault of movable blade of axial flow fan of thermal power plant |
| CN115425664A (en) * | 2022-08-03 | 2022-12-02 | 贵州电网有限责任公司 | Power distribution network electric quantity balancing method considering energy storage configuration and demand side management |
| CN115511180A (en) * | 2022-09-27 | 2022-12-23 | 国网湖南省电力有限公司 | Optimal configuration method and system for flexible resources of power system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116805792A (en) | 2023-09-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102593853B (en) | Energy storage system capacity configuration optimizing method capable of enhancing wind power receiving capacity | |
| CN107276122B (en) | Peak-shaving resource calling decision method suitable for large-scale renewable energy grid connection | |
| CN110661301B (en) | Capacity allocation optimization method for water-light-storage multi-energy complementary power generation system | |
| CN110829503B (en) | Wind, light, water and fire storage multi-energy complementary micro-grid joint optimization scheduling method and system | |
| CN112886645B (en) | New energy power system operation simulation method based on ultrahigh hydrogen energy proportion | |
| CN114492085B (en) | Regional power and electric quantity balancing method related to load and power supply joint probability distribution | |
| Chen et al. | Scheduling strategy of hybrid wind-photovoltaic-hydro power generation system | |
| CN114465226A (en) | Method for establishing multi-level standby acquisition joint optimization model of power system | |
| CN117559391A (en) | Hybrid energy storage joint planning method considering flexible supply-demand balance of power system | |
| CN116805792B (en) | Thermal power-energy storage regulation demand judging method and system in high-proportion new energy system | |
| CN110571868A (en) | Optimal configuration method of microgrid | |
| CN114389262B (en) | Regional power grid dispatching method based on robust optimization in elastic environment | |
| CN113762643A (en) | Energy storage capacity optimal configuration method of regional comprehensive energy system | |
| Ying et al. | Research on Peak Shaving Strategy Based on Green Power Supply in Industrial Parks | |
| Zhang | Study on the Effects of Different Measures in Promoting Renewable Energy Consumption | |
| CN116316740B (en) | Energy storage replacing thermal power capacity efficiency calculation method considering new energy influence | |
| Hu et al. | Thermal Power and Energy Storage Flexible Adjustment Demand Calculation Method in High Proportion Renewable Energy System | |
| CN118214091B (en) | Sea island micro-grid layered coordination method based on electric-hydrogen hybrid energy storage | |
| Li et al. | Day-head Peak-shaving Model for Coordinated Wind-photovoltaic-pumped-storage-hydropower Generation Systems | |
| Yu et al. | Research on the Optimal Planning Method of Wind-Solar Hydrogen Production Park System Considering the Optimal Proportion of Wind and Solar Energy | |
| Shi et al. | Research on Energy Management Optimization Strategy of Integrated Energy System in Wind Photovoltaic Hydrogen Energy Storage Area | |
| CN110601264B (en) | Multi-energy optimization scheduling method considering absorption capacity of ultra-high-power heat storage electric boiler | |
| Li et al. | Optimal Scheduling Method of Wind, Light, Fire and Storage System Considering Flexibility Transformation Thermal Power Deep Peaking | |
| Li et al. | Research on Dual-Layer Coordinated Optimization Scheduling Model of Power System Based on Flow Battery for Renewable Energy Integration | |
| Miao et al. | Research on New Energy Storage Planning Method for Provincial Power Grid in the Context of New Power 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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |