CN112653194A - New energy source limit consumption capacity evaluation method - Google Patents
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
Abstract
The invention discloses a method for evaluating the limit digestion capability of new energy. Based on PSD-BPA software data files and basic functions, the invention carries out data cleaning, parameter identification and data mining by collecting and warehousing data files such as a typical operation mode and a stable limit of a power grid, comprehensively considers the operation state and safety constraint of the power grid, intelligently adjusts the operation mode, establishes an optimization model by using an artificial intelligence technology, realizes the evaluation of the limit consumption capacity of new energy of a single station, a subarea and the whole power grid, provides reference for the future access planning of new energy, improves the utilization rate of the new energy, and ensures the safe, reliable, green and efficient operation of the power grid.
Description
Technical Field
The invention relates to a new energy limit consumption capacity evaluation method, which optimizes and analyzes an optimal access station and an optimal access capacity of new energy and belongs to the field of new energy planning and construction.
Background
With the increasing shortage of energy sources and the increasing problem of environmental pollution worldwide, the land resources are more and more tense, the development of power grids faces more severe examination, and the development of renewable energy sources such as wind, light, water and the like is continuously heated. In China, the renewable energy development scale is continuously enlarged, and the problem of limited new energy consumption capability is caused, so that the phenomena of wind and light abandonment are very serious. The development problem of the power grid is mainly focused on how to reasonably promote the new energy grid-connected consumption, actively adapt and effectively coordinate the system problem brought by the new energy grid-connected. Therefore, randomness and fluctuation of new energy output are fully considered, new energy consumption capability of the power system in the next year and month is accurately evaluated, new energy planning layout is guided to be optimized, new energy power generation year and month electric quantity plans are formulated, new energy consumption measures are quantitatively evaluated, and the method has important significance for promoting safe, reliable and economic operation of a power grid. The new energy consumption problem is an optimal planning problem, corresponding objective functions and constraint conditions need to be established, the model has the characteristics of multiple dimensions, strong coupling, nonlinearity and the like, and the final purpose of planning is to obtain the optimal capacity of a new energy access system and reasonably select a grid-connected access point.
At present, the analysis work of the new energy limit access capacity of the Jiangsu power grid is completed by the Jiangsu electric academy of sciences, the traditional means is still adopted for making and analyzing the operation mode, huge manpower is invested for carrying out scheme evaluation, data processing, simulation calculation, result analysis and report compilation, and depending on manual experience, the method is large in workload, low in efficiency, strong in limitation and poor in flexibility, and the future development requirements of the power grid in China are difficult to meet. Therefore, a new energy limit consumption capability evaluation module needs to be developed, system analysis personnel are liberated from heavy repetitive and mechanical work, the work efficiency and the work quality are further improved, and the dispatching operation of the Jiangsu power grid is better served and supported.
Disclosure of Invention
The purpose of the invention is as follows: with the continuous rising of the capacity and the occupation ratio of new energy, the analysis requirement of the limit consumption capacity of the new energy is gradually shown, and the workload of operation mode adjustment and analysis is exponentially increased.
The technical scheme is as follows: a new energy limit absorption capacity assessment method comprises the following steps:
(1) evaluating the limit consumption capacity of the new energy of the single station;
(2) evaluating the limit consumption capacity of the new energy in a subarea;
(3) and evaluating the limit consumption capability of the new energy of the whole network.
The step (1) comprises the following substeps:
<1> extracting historical data information of a typical operation mode;
<2> simulating the new energy access capacity of a single station;
<3> modifying the output of the original unit;
<4> load flow calculation;
<5> check whether the single-site constraint is satisfied.
The step (2) comprises the following substeps:
<1> extracting historical data information of a typical operation mode and calculating a single-station calculation result;
<2> simulating the new energy access capacity of the subareas;
<3> modifying the output of the original unit;
<4> load flow calculation;
<5> fitting a polynomial coefficient of a partition constraint equation;
establishing a regional new energy limit consumption model;
and <7> optimizing and solving the optimal access station of the subarea and the corresponding capacity of the optimal access station.
The step (3) comprises the following substeps:
<1> extracting historical data information of a typical operation mode and calculating a partition calculation result;
<2> simulating the whole network new energy access capacity;
<3> modifying the output of the original unit;
<4> load flow calculation;
<5> fitting a whole network constraint equation polynomial coefficient;
establishing a whole network new energy source limit consumption model;
and (7) optimizing and solving the optimal access station of the whole network and the corresponding capacity of the optimal access station.
Has the advantages that: the invention provides a new energy limit consumption capability assessment method, which is characterized in that data files such as annual operation modes and stable guide rules of a Jiangsu power grid are collected and put in a warehouse, so that data cleaning, parameter identification and data mining are performed, the operation state and safety constraints of the power grid are comprehensively considered, the operation mode is intelligently adjusted, an optimization model is established by using an artificial intelligence technology, the assessment of the new energy limit consumption capability of a single station, a subarea and the whole power grid is realized, a reference is provided for the future access planning of new energy, the utilization rate of the new energy is improved, and the safe, reliable, green and efficient operation of the power grid is ensured.
Drawings
FIG. 1 is a flowchart of the evaluation of the limit absorption capability of new energy
FIG. 2 is a flow chart of evaluation of limit absorption capability of new energy at a single station
FIG. 3 is a flow chart of evaluation of new energy limit consumption capability of partitioned and whole network
FIG. 4 is a schematic diagram of line flow information
Figure 5 transformer power flow information
FIG. 6 balance machine output information
Detailed Description
The technical scheme provided by the invention is described in detail in a mode of specific implementation examples in combination with the attached drawings of the specification.
The invention provides a new energy limit consumption capability assessment method which comprises three steps of single station, subarea and whole network new energy limit consumption capability assessment. The evaluation process of the limit consumption capability of the new energy of the single station is shown in fig. 2, and the evaluation process of the limit consumption capability of the new energy of the subareas and the whole network is shown in fig. 3. When the steps are implemented, the following substeps are carried out:
1. single-station new energy source limit consumption capability assessment
(1) Data mining
And collecting and warehousing data files such as annual operation modes and stable limits of a power grid, and mining data information in the files in a BPA typical operation mode, wherein historical data information to be extracted comprises the rated capacity of an adjustable unit, actual output, names of partitions and owners, new energy access station loads, partition names, voltage levels and outlet bus names of a power station in the current operation mode. The types of cards commonly used in data files are shown in table 1.
Table 1BPA data file common card
(2) Analog access
The method comprises the steps that the new energy access is simulated, namely a negative load with negative active power is accessed into a transformer substation, meanwhile, the accessed reactive power meets a constant power factor, and in specific implementation, according to a node name, a voltage grade and a partition name, a data line where a plant station is accessed under a data file is positioned, and the new energy access power is superposed under original load data.
(3) Intelligent adjustment
In order to keep the active balance of the system after the new energy is simulated to be accessed, the output of the power plant needs to be reduced, the original output and the actual output of the power plant are obtained from the step (1), the total access capacity of the new energy in the step (2) is calculated, modified output adjustment factors can be obtained, the sequence of the adjustment strategies is shown in a table 2,
TABLE 2 Adjustable Unit adjustment strategy
| Regulating sequence | Adjustable unit partition | Lower limit of output |
| 1 | Subei 500kV traditional unit | 0.4 |
| 2 | Subei 220kV coal-fired unit | 0.5 |
| 3 | Subei 220kV gas unit | 0.5 |
| 4 | south-Su 500kV traditional unit | 0.4 |
| 5 | south-Su 220kV coal-fired unit | 0.5 |
| 6 | Sunan 220kV gas unit | 0.5 |
And calculating output adjustment factors of all the adjustable generator set partitions, and positioning and modifying the PZ card in the data file.
(4) Load flow calculation
The load flow calculation is realized by calling power system analysis software PSD-BPA, an iterative algorithm adopts a Newton-Raphson method, a load flow solution can be obtained if the current operation mode is calculated and converged, and relevant load flow information is mined from an output result file according to the name of the concerned equipment, the voltage grade and the partition where the concerned equipment is located. The line power flow information and the transformer power flow information are respectively shown in fig. 4 and fig. 5.
(5) Constraint verification
The constraint conditions comprise normal current carrying capacity constraint of a 220kV line except for the outgoing line of a power plant, accident current carrying capacity constraint during N-1 calculation, stable quota constraint during normal running of a 500kV line, power constraint during normal running of a 220kV transformer and stable quota constraint during normal running of the 500kV transformer. If the current simulation access capacity meets the constraint condition, the iteration process is continued, and in order to improve the calculation speed, the iteration step length adopts a variable step length; and if any constraint under the current access capacity is not met, outputting the last access capacity in the iterative process, wherein the power at the moment is the maximum access capacity limit of the station.
2. Evaluation of new energy limit consumption capability of subarea and whole network
Considering that the evaluation flows of the limit consumption capacities of the new energy resources of the subareas and the whole network are similar, only the data sources and the network frame sizes are different, so that the evaluation flows are uniformly explained and are not described again.
(1) Data mining
And collecting and warehousing data files such as annual operation modes and stable limits of a power grid, and mining data information in the files in a BPA typical operation mode, wherein historical data information to be extracted comprises the rated capacity of an adjustable unit, actual output, names of partitions and owners, new energy access station loads, partition names, voltage levels and outlet bus names of a power station in the current operation mode.
(2) Analog access
The method comprises the steps that the new energy access is simulated, namely a negative load with negative active power is accessed into a transformer substation, meanwhile, the accessed reactive power meets a constant power factor, and in specific implementation, according to a node name, a voltage grade and a partition name, a data line where a plant station is accessed under a data file is positioned, and the new energy access power is superposed under original load data. During the subarea simulation, the maximum access capacity of all stations in the subarea is not larger than the access limit of the station, and the limit access capacity of each station can be obtained by analyzing the limit absorption capacity of a single station; and during the whole network simulation, site selection of the plant station and restriction of an access upper limit are carried out on the basis of a partition optimization result.
(3) Intelligent adjustment
In order to keep the active power balance of the system after the new energy is simulated to be accessed, the output of the power plant needs to be reduced, the original output and the actual output of the power plant are obtained from the step (1), the total access capacity of the new energy in the step (2) is calculated, the modified output adjustment factors can be obtained, the adjustment strategy sequence is shown in the table 2, the output adjustment factors of all adjustable generator set partitions are obtained through calculation, and the PZ card in the data file is subjected to positioning modification.
(4) Load flow calculation
The load flow calculation is realized by calling power system analysis software PSD-BPA, an iterative algorithm adopts a Newton-Raphson method, a load flow solution can be obtained if the current operation mode is calculated and converged, and relevant load flow information is mined from an output result file according to the name of the concerned equipment, the voltage grade and the partition where the concerned equipment is located. The balanced machine output information is shown in fig. 6.
(5) Fitting of parameters
In order to establish a model of the limit absorption capacity of the new energy, optimization solution is carried out through a numerical analysis method, a polynomial constraint equation is established according to different constraint conditions, and equation coefficients of a polynomial constraint function are fitted, the constraint equation comprises normal current carrying capacity constraint of a 220kV line except for the outgoing line of a power plant, accident current carrying capacity constraint during N-1 calculation, stable quota constraint during normal operation of a 500kV line, power constraint during normal operation of a 220kV transformer and stable quota constraint during normal operation of the 500kV transformer, a least square method is adopted in a fitting algorithm, a training sample is obtained by Monte Carlo sampling to obtain new energy access capacity, load flow calculation is carried out, and the number of the sample is in direct proportion to the number of access stations.
(6) Modeling
Respectively establishing a subarea and whole network new energy limit absorption capacity model, wherein the objective function is shown as the following formula:
in the formula, PiAnd N is the total number of new energy access stations. The constraint function in the optimization model is shown as follows:
Pi≤Pi.max
in the formula, Ai.j，Bi.j，CjRespectively, quadratic coefficient, first order coefficient and constant term of fitting polynomial function to j constraint conditions obtained by least square methodjIs the boundary value of the jth constraint,
for the line, YjIs the upper limit value of current carrying capacity or stable quota, and Yj is the upper limit value of rated capacity or stable quota capacity, P, for the transformeri.maxAnd the access capacity upper limit value of the ith station is shown.
(7) Optimization solution
And (4) carrying out optimization solution on the nonlinear programming model set up in the step (6), solving the problem by calling a solver, and outputting a result if the optimal solution of the current problem can be found, wherein the result comprises the sum of the current new energy access capacity, the site of the optimal access station and the optimal access capacity of the station.
And respectively obtaining the evaluation results of the single-station, the subarea and the whole network new energy source limit absorption capacity, wherein before subarea optimization, a single-station optimization result is required to be provided as a single-station access capacity upper limit, and before whole network optimization, each subarea optimization result is required to be provided as an access plant station primary selection and each station access capacity upper limit.
Claims (8)
1. A new energy limit absorption capacity evaluation method is characterized by comprising the following steps:
(1) evaluating the limit consumption capacity of the new energy of the single station;
(2) evaluating the limit consumption capacity of the new energy in a subarea;
(3) and evaluating the limit consumption capability of the new energy of the whole network.
2. The new energy limit absorption capability assessment method according to claim 1, wherein the step (1) comprises the following sub-steps:
<1> extracting historical data information of a typical operation mode;
<2> simulating the new energy access capacity of a single station;
<3> modifying the output of the original unit;
<4> load flow calculation;
<5> checking whether the single-station constraint condition is satisfied;
the step (2) comprises the following substeps:
<1> extracting historical data information of a typical operation mode and calculating a single-station calculation result;
<2> simulating the new energy access capacity of the subareas;
<3> modifying the output of the original unit;
<4> load flow calculation;
<5> fitting a polynomial coefficient of a partition constraint equation;
establishing a regional new energy limit consumption model;
<7> optimally solving the optimal access station of the subarea and the corresponding capacity of the optimal access station;
the step (3) comprises the following substeps:
<1> extracting historical data information of a typical operation mode and calculating a partition calculation result;
<2> simulating the whole network new energy access capacity;
<3> modifying the output of the original unit;
<4> load flow calculation;
<5> fitting a whole network constraint equation polynomial coefficient;
establishing a whole network new energy source limit consumption model;
and (7) optimizing and solving the optimal access station of the whole network and the corresponding capacity of the optimal access station.
3. The method for evaluating the limit absorption capability of new energy according to claim 2, wherein: in the step <2> in the steps (1), (2) and (3), the historical data information to be extracted comprises the rated capacity of the adjustable unit, the actual output, the names of the partitions and the owners under the current operation mode, the load, the partition name and the voltage level of the new energy access station, and the name of the outgoing line bus of the power plant.
4. The method for evaluating the limit absorption capability of new energy according to claim 2, wherein: in the step <1> in the steps (1), (2) and (3), the simulation of new energy access is equivalent to accessing a negative load with negative active power in the substation, and the accessed reactive power of the negative load meets the constant power factor, and the difference is that in the step (1) in the claim 2, the new energy is accessed only in a single station, and in the step (2) in the claim 2 and the step (3), the new energy is accessed in all stations in the subarea and all stations in the whole network respectively.
5. The method for evaluating the limit absorption capability of new energy according to claim 2, wherein: in the step <3> of (1), (2) and (3), in order to keep the active balance of the system after the new energy is simulated, the output of the power plant needs to be reduced, the original output and the actual output of the power plant are obtained by the following claim 3, the total access capacity of the new energy in the claim 4 is calculated, a modified output adjustment factor can be obtained, and the adjustment strategy sequence comprises:
regulating the output of a 500kV traditional thermal power generating unit in the North Suo to be 0.4 of the original value to the maximum extent;
adjusting the output of a 220kV coal-fired thermal power generating unit in the North Suo to be 0.5 of the original value to the maximum;
thirdly, adjusting the output of the Subei 220kV gas thermal power generating unit to be maximally reduced to 0.5 of the original value;
adjusting the output of the Sunan 500kV traditional thermal power generating unit to be maximally reduced to 0.4 of the original value;
adjusting the output of a Sunan 220kV coal-fired thermal power generating unit to be maximally reduced to 0.5 of the original value;
sixthly, adjusting the output of the 220kV gas thermal power unit in the south of Suzhou to be 0.5 of the original value to the maximum.
6. The method for evaluating the limit absorption capability of new energy according to claim 2, wherein: in the step <4> in the steps (1), (2) and (3), the load flow calculation is realized by calling power system analysis software PSD-BPA, the iterative algorithm adopts a Newton Raphson method, a load flow solution can be obtained if the current operation mode is calculated and converged, and relevant load flow information is mined from an output result file according to the name of the concerned equipment, the voltage level and the partition where the concerned equipment is located.
7. The method for evaluating the limit absorption capability of new energy according to claim 2, wherein: in the step <5> in the step (1), the single station constraint conditions include normal current carrying capacity constraint of a 220kV line except for the outgoing line of the power plant, accident current carrying capacity constraint during N-1 calculation, stable quota constraint during normal operation of a 500kV line, power constraint during normal operation of a 220kV transformer and stable quota constraint during normal operation of a 500kV transformer.
8. The method for evaluating the limit absorption capability of new energy according to claim 2, wherein: in the step <5> of the step (2) and the step (3), in order to establish a model of the limit absorption capacity of the new energy, optimization solution is carried out through a numerical analysis method, a polynomial constraint equation needs to be established according to different constraint conditions, equation coefficients of a polynomial constraint function are fitted, a fitting algorithm adopts a least square method, a training sample is obtained by carrying out load flow calculation on new energy access capacity obtained by Monte Carlo sampling, the number of samples is in direct proportion to the number of access stations, and the target function of the model of the limit absorption capacity of the new energy in the step <6> of the step (2) and the step (3) is shown as the following formula:
in the formula, PiThe new energy access capacity of the ith plant station is obtained, and N is the total number of new energy access plant stations;
the constraint function in the optimization model is shown as follows:
in the formula, Ai.j，Bi.j，CjRespectively, quadratic coefficient, first order coefficient and constant term of fitting polynomial function to j constraint conditions obtained by least square methodjBoundary value of j-th constraint, for line, YjIs the upper limit value of current carrying capacity or stable quota, for the transformer, YjFor rated capacity or stable rated capacity upper limit, Pi.maxRepresenting an upper limit value of an access capacity of an i-th plant, said steps (2) and (3)<7>The step of (2) and (3)<6>And performing optimization solution on the built nonlinear programming model, solving the problem by calling a solver, and outputting a result if the optimal solution of the current problem can be found, wherein the result comprises the sum of the current new energy access capacity, the site of the optimal access plant station and the optimal access capacity of the plant station.
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| CN114285090A (en) * | 2021-12-22 | 2022-04-05 | 国网江苏省电力有限公司盐城供电分公司 | New energy limit consumption capability evaluation method based on single station-partition-whole network |
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| CN114285090A (en) * | 2021-12-22 | 2022-04-05 | 国网江苏省电力有限公司盐城供电分公司 | New energy limit consumption capability evaluation method based on single station-partition-whole network |
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