CN114709863B - Power system scheduling method and related device - Google Patents
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- 238000010248 power generation Methods 0.000 claims abstract description 80
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Classifications
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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
- H02J3/381—Dispersed generators
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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
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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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
- H02J2300/40—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
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Abstract
The invention discloses a power system dispatching method and a related device, which can obtain frequency modulation parameters of all power generation resources participating in frequency modulation; according to each frequency modulation parameter, constructing a power system scheduling model incorporating high-order nonlinear implicit frequency security constraints; converting the implicit frequency security constraint into an explicit secondary constraint by a high-dimensional model expression method; calling a solver to solve a power system scheduling model converted by the high-dimensional model expression method, so as to obtain scheduling parameters; and carrying out corresponding scheduling on each power generation resource according to the scheduling parameters so as to adjust the frequency of a corresponding power system, wherein the power system comprises each power generation resource. The invention can convert the high-order nonlinear frequency safety constraint into the secondary constraint through a data driving method, further convert the scheduling problem considering the frequency safety constraint into a double-line new planning problem, and solve the efficiency, thereby improving the frequency modulation efficiency of the power system.
Description
Technical Field
The invention relates to the field of power systems, in particular to a power system scheduling method and a related device.
Background
With the gradual increase of the installed capacity of renewable energy sources in the energy power system of China, the inertia of the power system is further reduced, and the frequency safety of the power system is threatened. In recent years, more and more research and practice projects have focused on frequency safety considerations in planning power system schedules. At present, frequency safety constraint is considered in the combination of a power system day-ahead unit and the daily economic dispatch, however, the problem solving difficulty is high and the solving precision is low due to the adoption of the frequency safety constraint of high-order nonlinear at present.
Disclosure of Invention
In view of the foregoing, the present invention provides a power system scheduling method and related apparatus that overcomes or at least partially solves the foregoing problems.
In a first aspect, a power system scheduling method includes:
Obtaining frequency modulation parameters of each power generation resource participating in frequency modulation;
according to each frequency modulation parameter, constructing a power system scheduling model incorporating high-order nonlinear implicit frequency security constraints;
Converting the implicit frequency security constraint into an explicit secondary constraint by a high-dimensional model expression method;
Calling a solver to solve a power system scheduling model converted by the high-dimensional model expression method, so as to obtain scheduling parameters;
and carrying out corresponding scheduling on each power generation resource according to the scheduling parameters so as to adjust the frequency of a corresponding power system, wherein the power system comprises each power generation resource.
With reference to the first aspect, in some optional embodiments, the obtaining the tuning parameters of each power generation resource participating in tuning includes:
and obtaining the frequency modulation parameter of at least one power generation resource in the power generation resource group participating in frequency modulation, wherein the power generation resource group comprises a thermal power plant, a hydropower plant and a pumped storage power plant.
In combination with the above embodiment, in some optional embodiments, the constructing a power system scheduling model including implicit frequency safety constraints of high-order nonlinearities according to each of the frequency modulation parameters includes:
according to the frequency modulation parameters of the thermal power plant, constructing the power system scheduling model shown in the formula 1;
Equation 1: Wherein F is the total cost of the economic dispatch with hidden frequency safety constraint, C G is the cost of the generator set, T is the time period length, N G is the number of the generator sets, i is the number of the generator sets, T is the time period, and And saidThe actual power generation amount and the preliminary power generation amount of the ith generating set in the t period are respectively, and the c Gi and the c Ri are respectively the power generation cost and the preliminary cost of the ith generating set.
In combination with the above embodiment, in some alternative embodiments, the quadratic function expression of c Gi is as shown in formula 2, theSatisfying a power balance constraint as shown in formula 3, satisfying a transmission capacity constraint as shown in formula 4, satisfying a rotation reserve constraint as shown in formula 5, satisfying an output constraint as shown in formula 6, and satisfying a hill climbing constraint as shown in formula 7, the recessive frequency safety constraint being as shown in formula 8;
Equation 2: wherein, a i, b i and c i are all preset operation cost coefficients of the generator set;
Equation 3: wherein the said Representing the sum of the power of all loads in the t-period system;
Equation 4: wherein l is the line number of the power system, k is the node number of the power system, and The power flow transmission capacity of the ith line is represented by T li, which is the power transmission distribution coefficient of the node where the ith generator set is located to the ith line, T lk, which is the power transmission distribution coefficient of the kth node to the ith line, K, which is the number of system nodes, and the number of the system nodes, which is the number of the system nodesThe load of the kth node is t time period;
equation 5: wherein the said The upper limit of the power generation power of the ith generating set in the t period is represented, and r is a standby coefficient of the power system;
Equation 6: wherein the said And saidRespectively representing the upper limit and the lower limit of the power generation power of the ith generating set;
Equation 7: Wherein Ru i and Rd i respectively represent the speed of increasing the power generation power and the speed of reducing the power generation power of the ith generating set;
equation 8: The said And the maximum frequency fluctuation value allowed by the power system is represented, and the delta f represents the deviation value of the maximum frequency deviation standard value of the power system when power disturbance occurs.
In combination with the above embodiment, in some optional embodiments, the transforming the implicit frequency security constraint into an explicit quadratic constraint by a high-dimensional model expression method includes:
Converting the implicit frequency security constraint shown in the formula 8 into an explicit secondary constraint shown in the formula 9 by a high-dimensional model expression method;
Equation 9: Wherein f 0 is a constant term, the Is a coefficient of primary term, saidAn nth orthogonal polynomial representing the x i variable, anA coupled orthogonal polynomial representing the variables x i and x j, said j and said i being both vector numbers, said (x i) being a vectorThe (x j) is a vectorJ-th item of (3), saidAnd saidThe coefficients of the first order component and the coefficients of the second order component of the model are represented, respectively.
With reference to the first aspect, in some optional embodiments, the call solver solves a power system scheduling model converted by the high-dimensional model expression method, so as to obtain scheduling parameters, including:
and calling gurobi a solver or cplex a solver to solve the power system scheduling model converted by the high-dimensional model expression method, so as to obtain scheduling parameters.
In a second aspect, a power system scheduling apparatus includes: the system comprises a parameter obtaining unit, a model constructing unit, a converting unit, a solving unit and a scheduling unit;
the parameter obtaining unit is used for obtaining the frequency modulation parameters of the power generation resources participating in frequency modulation;
the model construction unit is used for constructing a power system scheduling model which incorporates the implicit frequency safety constraint of high-order nonlinearity according to each frequency modulation parameter;
the transformation unit is used for transforming the implicit frequency security constraint into an explicit secondary constraint through a high-dimensional model expression method;
The solving unit is used for calling a solver to solve the power system scheduling model converted by the high-dimensional model expression method so as to obtain scheduling parameters;
and the scheduling unit is used for carrying out corresponding scheduling on each power generation resource according to the scheduling parameters so as to adjust the frequency of a corresponding power system, wherein the power system comprises each power generation resource.
With reference to the second aspect, in some optional embodiments, the parameter obtaining unit includes: a parameter obtaining subunit;
the parameter obtaining subunit is used for obtaining the frequency modulation parameter of at least one power generation resource in the power generation resource group participating in frequency modulation, wherein the power generation resource group comprises a thermal power plant, a hydropower plant and a pumped storage power plant.
With reference to the second aspect, in some optional embodiments, the solving unit includes: solving the subunit;
and the solving subunit is used for calling gurobi solver or cplex solver to solve the power system scheduling model converted by the high-dimensional model expression method so as to obtain scheduling parameters.
In a third aspect, a computer readable storage medium has stored thereon a program which, when executed by a processor, implements the power system scheduling method of any one of the above.
In a fourth aspect, an electronic device includes at least one processor, at least one memory coupled to the processor, and a bus; the processor and the memory complete communication with each other through the bus; the processor is configured to invoke the program instructions in the memory to perform the power system scheduling method of any of the above.
By means of the technical scheme, the power system scheduling method and the related device can obtain the frequency modulation parameters of the power generation resources participating in frequency modulation; according to each frequency modulation parameter, constructing a power system scheduling model incorporating high-order nonlinear implicit frequency security constraints; converting the implicit frequency security constraint into an explicit secondary constraint by a high-dimensional model expression method; calling a solver to solve a power system scheduling model converted by the high-dimensional model expression method, so as to obtain scheduling parameters; and carrying out corresponding scheduling on each power generation resource according to the scheduling parameters so as to adjust the frequency of a corresponding power system, wherein the power system comprises each power generation resource. Therefore, the invention can convert the high-order nonlinear frequency safety constraint into the secondary constraint through a data driving method, further convert the scheduling problem considering the frequency safety constraint into a double-line new planning problem, and solve the efficiency, thereby improving the frequency modulation efficiency of the power system.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
fig. 1 shows a flowchart of a power system scheduling method provided by the invention;
fig. 2 shows a schematic structural diagram of a power system dispatching device provided by the invention;
Fig. 3 shows a schematic structural diagram of an electronic device provided by the invention.
Detailed Description
The invention discloses a power system dispatching method and a related device, which are used for considering frequency safety constraint in dispatching, and simultaneously converting complex implicit frequency safety constraint into secondary constraint by adopting a data driving method, so that a solver can be called to solve the optimization problem. A power system scheduling model is first established, and then system frequency security constraints are derived and incorporated into the scheduling model. Because the implicit frequency safety constraint is a high-order nonlinear constraint, the scheduling model is complex and cannot be directly solved, a data driving method is provided to convert the high-order nonlinear implicit frequency safety constraint into a secondary constraint, and further the scheduling problem considering the implicit frequency safety constraint is converted into a bilinear new planning problem, so that the scheduling model can be efficiently solved.
The power system normally operates in a fixed frequency range, and the power system operates in the frequency range of 50+/-0.2 Hz in China for systems with more than 300MW, and beyond the frequency range, the power system is unstable, so that the low frequency load of the system is reduced, and a large power failure is caused when the power system is serious. The economic dispatch problem referred to in the present invention may be an economic dispatch problem, which means that the power system dispatch mechanism schedules the power generation plan to meet the demand of the power load at minimum cost.
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
As shown in fig. 1, the present invention provides a power system scheduling method, including: s100, S200, S300, S400, and S500;
s100, obtaining frequency modulation parameters of all power generation resources participating in frequency modulation;
optionally, it is necessary to determine which power generation resources can participate in the frequency modulation before scheduling, such as thermal power plants, hydroelectric power plants, pumped storage power plants, and the like. The execution body of the invention can issue instructions to various types of power plants to obtain the frequency modulation parameters provided by the power plants, and the invention is not limited to this.
For example, in connection with the embodiment shown in fig. 1, in certain alternative embodiments, the S100 includes: and obtaining the frequency modulation parameter of at least one power generation resource in the power generation resource group participating in frequency modulation, wherein the power generation resource group comprises a thermal power plant, a hydropower plant and a pumped storage power plant.
For a thermal generator set, the power plant can provide droop control coefficients, the power ratio of the high-pressure turbine section, a speed regulator, a turbine, a reheating time constant, power generation cost and the like, and the invention is not limited to this. The droop control coefficient, the power ratio of the high-pressure turbine section, the speed regulator, the turbine, the reheat time constant, the power generation cost, etc. are all known concepts in the art, and specific reference is made to the related description in the art.
S200, constructing a power system scheduling model which incorporates high-order nonlinear implicit frequency safety constraint according to each frequency modulation parameter;
Optionally, the method is not limited in the way of constructing the power system scheduling model including the implicit frequency safety constraint of the high-order nonlinearity according to each frequency modulation parameter. For example, in combination with the above embodiment, in some alternative embodiments, the S200 includes: according to the frequency modulation parameters of the thermal power plant, constructing the power system scheduling model shown in the formula 1;
Equation 1: Wherein F is the total cost of the economic dispatch with hidden frequency safety constraint, C G is the cost of the generator set, T is the time period length, N G is the number of the generator sets, i is the number of the generator sets, T is the time period, and And saidThe actual power generation amount and the preliminary power generation amount of the ith generating set in the t period are respectively, and the c Gi and the c Ri are respectively the power generation cost and the preliminary cost of the ith generating set.
The total cost in the formula 1 is an optimization target and needs to be obtained by optimizing solution; the cost is the cost required by the actual power generation of the generator set; the period length refers to the length of the span, typically in hours, e.g., 4 hours, and the period refers to the number of hours, e.g., 24 hours, which may be any of the 1 st to 24 th hours; the number of the generator sets refers to the total number of the generator sets which can participate in frequency modulation through statistical determination; the actual generating capacity refers to the generating capacity of the generating set in the period, and the generating capacity is measured by electric power; the preliminary cost refers to the cost of the set as a backup.
Optionally, the invisible frequency safety constraint is considered for economic dispatch, so that the frequency operation of the power system can be ensured to be in a safe range, and the operation safety of the system is ensured.
Optionally, in order to improve the stability of the system, each parameter of the power system scheduling model needs to satisfy a certain constraint. For example, in combination with the above embodiment, in some alternative embodiments, the quadratic function expression of c Gi is as shown in equation 2, theSatisfying a power balance constraint as shown in formula 3, satisfying a transmission capacity constraint as shown in formula 4, satisfying a rotation reserve constraint as shown in formula 5, satisfying an output constraint as shown in formula 6, and satisfying a hill climbing constraint as shown in formula 7, the recessive frequency safety constraint being as shown in formula 8;
Equation 2: wherein, a i, b i and c i are all preset operation cost coefficients of the generator set;
Equation 3: wherein the said Representing the sum of the power of all loads in the t-period system;
optionally, the power balance constraint requires that the generated energy is equal to the used electricity, and because the electricity is balanced in real time, the generated electricity is used, and the safety problem of the system is avoided because the generated electricity is excessive.
Equation 4: wherein l is the line number of the power system, k is the node number of the power system, and The power flow transmission capacity of the ith line is represented by T li, which is the power transmission distribution coefficient of the node where the ith generator set is located to the ith line, T lk, which is the power transmission distribution coefficient of the kth node to the ith line, K, which is the number of system nodes, and the number of the system nodes, which is the number of the system nodesThe load of the kth node is t time period;
Alternatively, the transmission capacity constraint requires that the power transmission on the transmission line cannot exceed its capacity. The node described herein may be understood as a power system node, for example, two endpoints of a power line transmission are two nodes, and the invention is not limited in this regard.
Optionally, the ordering of the nodes is preset. The load of a particular node can be understood as how much power load is connected to the node and how many power consumers draw power from the node.
Equation 5: wherein the said The upper limit of the power generation power of the ith generating set in the t period is represented, and r is a standby coefficient of the power system;
Optionally, the rotation reserve constraint requires that the power generation side reserve a certain reserve to prevent sudden load increase and prevent power generation from being supplied.
Optionally, the order of the generator sets is preset, which is not limited by the present invention.
Equation 6: wherein the said And saidRespectively representing the upper limit and the lower limit of the power generation power of the ith generating set;
Alternatively, the output constraint requires that the generated power plus the reserve capacity cannot exceed the upper power limit of the generator nor be below the lower power limit.
Equation 7: Wherein Ru i and Rd i respectively represent the speed of increasing the power generation power and the speed of reducing the power generation power of the ith generating set;
Optionally, the climbing constraint requires that the generator set has a certain requirement for changing the speed of the generated power, so as to respond in time and make a change.
Equation 8: The said And the maximum frequency fluctuation value allowed by the power system is represented, and the delta f represents the deviation value of the maximum frequency deviation standard value of the power system when power disturbance occurs.
Alternatively to this, the method may comprise,Systems above 300MW in China are typically 0.5Hz, and the deviation value Δf of the system cannot exceed this value.
S300, converting the implicit frequency security constraint into an explicit secondary constraint through a high-dimensional model expression method;
Optionally, the present invention does not limit the manner of converting the implicit frequency security constraints into explicit quadratic constraints by a high-dimensional model expression method. For example, in combination with the above embodiment, in some alternative embodiments, the S300 includes:
Converting the implicit frequency security constraint shown in the formula 8 into an explicit secondary constraint shown in the formula 9 by a high-dimensional model expression method;
Equation 9: Wherein f 0 is a constant term, the Is a coefficient of primary term, saidAn nth orthogonal polynomial representing the x i variable, anA coupled orthogonal polynomial representing the variables x i and x j, said j and said i being both vector numbers, said (x i) being a vectorThe (x j) is a vectorJ-th item of (3), saidAnd saidThe coefficients of the first order component and the coefficients of the second order component of the model are represented, respectively.
Optionally, an explicit quadratic constraint can be obtained by fitting the implicit frequency security constraint using a high-dimensional model expression method. The high-dimensional model expression method (High DimensionModel Representation, HDMR) is a data-driven method. The method is used for converting the hidden frequency safety constraint of high-order nonlinearity into the low-order simple constraint so as to facilitate the subsequent direct call of a solver for solving.
S400, calling a solver to solve a power system scheduling model converted by the high-dimensional model expression method, so as to obtain scheduling parameters;
Alternatively, the present invention is not particularly limited to the solver. For example, in connection with the embodiment shown in fig. 1, in some alternative embodiments, the S400 includes:
and calling gurobi a solver or cplex a solver to solve the power system scheduling model converted by the high-dimensional model expression method, so as to obtain scheduling parameters.
Optionally, the scheduling parameters obtained by the solver can be understood as the optimized scheduling targets, and scheduling is performed based on the scheduling parameters, so that the frequency of the power system can be regulated on the premise of being most economical and fastest, and the invention is not limited to the frequency.
S500, carrying out corresponding scheduling on each power generation resource according to the scheduling parameters so as to adjust the frequency of a corresponding power system, wherein the power system comprises each power generation resource.
As shown in fig. 2, the present invention provides a power system scheduling apparatus, including: a parameter obtaining unit 100, a model constructing unit 200, a converting unit 300, a solving unit 400 and a scheduling unit 500;
the parameter obtaining unit 100 is configured to obtain a frequency modulation parameter of each power generation resource participating in frequency modulation;
the model construction unit 200 is configured to construct a power system scheduling model that incorporates an implicit frequency security constraint of high-order nonlinearity according to each of the frequency modulation parameters;
the transformation unit 300 is configured to transform the implicit frequency security constraint into an explicit secondary constraint by using a high-dimensional model expression method;
The solving unit 400 is configured to invoke a solver to solve the power system scheduling model converted by the high-dimensional model expression method, so as to obtain scheduling parameters;
The scheduling unit 500 is configured to perform corresponding scheduling on each power generation resource according to the scheduling parameter, so as to adjust a frequency of a corresponding power system, where the power system includes each power generation resource.
In connection with the embodiment shown in fig. 2, in some alternative embodiments, the parameter obtaining unit 100 comprises: a parameter obtaining subunit;
the parameter obtaining subunit is used for obtaining the frequency modulation parameter of at least one power generation resource in the power generation resource group participating in frequency modulation, wherein the power generation resource group comprises a thermal power plant, a hydropower plant and a pumped storage power plant.
In combination with the above embodiment, in some alternative embodiments, the model building unit 200 includes: a model building subunit;
the model construction subunit is used for constructing the power system scheduling model shown in the formula 1 according to the frequency modulation parameters of the thermal power plant;
Equation 1: Wherein F is the total cost of the economic dispatch with hidden frequency safety constraint, C G is the cost of the generator set, T is the time period length, N G is the number of the generator sets, i is the number of the generator sets, T is the time period, and And saidThe actual power generation amount and the preliminary power generation amount of the ith generating set in the t period are respectively, and the c Gi and the c Ri are respectively the power generation cost and the preliminary cost of the ith generating set.
In combination with the above embodiment, in some alternative embodiments, the quadratic function expression of c Gi is as shown in formula 2, theSatisfying a power balance constraint as shown in formula 3, satisfying a transmission capacity constraint as shown in formula 4, satisfying a rotation reserve constraint as shown in formula 5, satisfying an output constraint as shown in formula 6, and satisfying a hill climbing constraint as shown in formula 7, the recessive frequency safety constraint being as shown in formula 8;
Equation 2: wherein, a i, b i and c i are all preset operation cost coefficients of the generator set;
Equation 3: wherein the said Representing the sum of the power of all loads in the t-period system;
Equation 4: wherein l is the line number of the power system, k is the node number of the power system, and The power flow transmission capacity of the ith line is represented by T li, which is the power transmission distribution coefficient of the node where the ith generator set is located to the ith line, T lk, which is the power transmission distribution coefficient of the kth node to the ith line, K, which is the number of system nodes, and the number of the system nodes, which is the number of the system nodesThe load of the kth node is t time period;
equation 5: wherein the said The upper limit of the power generation power of the ith generating set in the t period is represented, and r is a standby coefficient of the power system;
Equation 6: wherein the said And saidRespectively representing the upper limit and the lower limit of the power generation power of the ith generating set;
Equation 7: Wherein Ru i and Rd i respectively represent the speed of increasing the power generation power and the speed of reducing the power generation power of the ith generating set;
equation 8: The said And the maximum frequency fluctuation value allowed by the power system is represented, and the delta f represents the deviation value of the maximum frequency deviation standard value of the power system when power disturbance occurs.
In combination with the above embodiment, in certain alternative embodiments, the conversion unit 300 comprises: a transformant unit;
A converter unit, configured to convert the implicit frequency security constraint shown in the formula 8 into an explicit quadratic constraint shown in the formula 9 by using a high-dimensional model expression method;
Equation 9: Wherein f 0 is a constant term, the Is a coefficient of primary term, saidAn nth orthogonal polynomial representing the x i variable, anA coupled orthogonal polynomial representing the variables x i and x j, said j and said i being both vector numbers, said (x i) being a vectorThe (x j) is a vectorJ-th item of (3), saidAnd saidThe coefficients of the first order component and the coefficients of the second order component of the model are represented, respectively.
In connection with the embodiment shown in fig. 2, in some alternative embodiments, the solving unit 400 includes: solving the subunit;
and the solving subunit is used for calling gurobi solver or cplex solver to solve the power system scheduling model converted by the high-dimensional model expression method so as to obtain scheduling parameters.
The present invention provides a computer-readable storage medium having stored thereon a program which, when executed by a processor, implements the power system scheduling method of any one of the above.
As shown in fig. 3, the present invention provides an electronic device 70, said electronic device 70 comprising at least one processor 701, and at least one memory 702, bus 703 connected to said processor 701; wherein, the processor 701 and the memory 702 complete communication with each other through the bus 703; the processor 701 is configured to invoke program instructions in the memory 702 to perform the power system scheduling method of any of the above.
In the present application, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In this specification, each embodiment is described in a related manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description is only of the preferred embodiments of the present invention and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention are included in the protection scope of the present invention.
Claims (8)
1. A power system scheduling method, comprising:
Obtaining frequency modulation parameters of each power generation resource participating in frequency modulation;
constructing a power system scheduling model including high-order nonlinear implicit frequency security constraints according to each frequency modulation parameter, wherein the constructing the power system scheduling model including high-order nonlinear implicit frequency security constraints according to each frequency modulation parameter includes:
according to the frequency modulation parameters of the thermal power plant, constructing the power system scheduling model shown in the formula 1;
Equation 1: Wherein F is the total cost of the economic dispatch with hidden frequency safety constraint, C G is the cost of the generator set, T is the time period length, N G is the number of the generator sets, i is the number of the generator sets, T is the time period, and And saidThe actual generating capacity and the preliminary generating capacity of the ith generating set in the t period are respectively c Gi and c Ri are respectively the generating cost and the preliminary cost of the ith generating set, the quadratic function expression of c Gi is shown in formula 2, and theSatisfying a power balance constraint as shown in formula 3, satisfying a transmission capacity constraint as shown in formula 4, satisfying a rotation reserve constraint as shown in formula 5, satisfying an output constraint as shown in formula 6, and satisfying a hill climbing constraint as shown in formula 7, the recessive frequency safety constraint being as shown in formula 8;
Equation 2: wherein, a i, b i and c i are all preset operation cost coefficients of the generator set;
Equation 3: wherein the said Representing the sum of the power of all loads in the t-period system;
Equation 4: wherein l is the line number of the power system, k is the node number of the power system, and The power flow transmission capacity of the ith line is represented by T li, which is the power transmission distribution coefficient of the node where the ith generator set is located to the ith line, T lk, which is the power transmission distribution coefficient of the kth node to the ith line, K, which is the number of system nodes, and the number of the system nodes, which is the number of the system nodesThe load of the kth node is t time period;
equation 5: wherein the said The upper limit of the power generation power of the ith generating set in the t period is represented, and r is a standby coefficient of the power system;
Equation 6: wherein the said And saidRespectively representing the upper limit and the lower limit of the power generation power of the ith generating set;
Equation 7: Wherein Ru i and Rd i respectively represent the speed of increasing the power generation power and the speed of reducing the power generation power of the ith generating set;
equation 8: The said Representing the maximum allowable frequency fluctuation value of the power system, wherein Δf represents the deviation value of the maximum frequency deviation standard value of the power system when power disturbance occurs;
Converting the implicit frequency security constraint into an explicit secondary constraint by a high-dimensional model expression method;
Calling a solver to solve a power system scheduling model converted by the high-dimensional model expression method, so as to obtain scheduling parameters;
and carrying out corresponding scheduling on each power generation resource according to the scheduling parameters so as to adjust the frequency of a corresponding power system, wherein the power system comprises each power generation resource.
2. The method of claim 1, wherein obtaining the tuning parameters for each of the power generation resources involved in tuning comprises:
and obtaining the frequency modulation parameter of at least one power generation resource in the power generation resource group participating in frequency modulation, wherein the power generation resource group comprises a thermal power plant, a hydropower plant and a pumped storage power plant.
3. The method of claim 1, wherein said translating said implicit frequency security constraints into explicit quadratic constraints by a high-dimensional model expression method comprises:
Converting the implicit frequency security constraint shown in the formula 8 into an explicit secondary constraint shown in the formula 9 by a high-dimensional model expression method;
Equation 9: Wherein f 0 is a constant term, the Is a coefficient of primary term, saidAn nth orthogonal polynomial representing the x i variable, anA coupled orthogonal polynomial representing the variables x i and x j, said j and said i being both vector numbers, said (x i) being a vectorThe (x j) is a vectorJ-th item of (3), saidAnd saidThe coefficients of the first order component and the coefficients of the second order component of the model are represented, respectively.
4. The method according to claim 1, wherein the calling solver solves a power system scheduling model converted by the high-dimensional model expression method, so as to obtain scheduling parameters, and the method comprises:
and calling gurobi a solver or cplex a solver to solve the power system scheduling model converted by the high-dimensional model expression method, so as to obtain scheduling parameters.
5. An electrical power system scheduling apparatus, comprising: the system comprises a parameter obtaining unit, a model constructing unit, a converting unit, a solving unit and a scheduling unit;
the parameter obtaining unit is used for obtaining the frequency modulation parameters of the power generation resources participating in frequency modulation;
The model construction unit is configured to construct a power system scheduling model incorporating the implicit frequency security constraint of the higher order nonlinearity according to each frequency modulation parameter, where the constructing the power system scheduling model incorporating the implicit frequency security constraint of the higher order nonlinearity according to each frequency modulation parameter includes:
according to the frequency modulation parameters of the thermal power plant, constructing the power system scheduling model shown in the formula 1;
Equation 1: Wherein F is the total cost of the economic dispatch with hidden frequency safety constraint, C G is the cost of the generator set, T is the time period length, N G is the number of the generator sets, i is the number of the generator sets, T is the time period, and And saidThe actual generating capacity and the preliminary generating capacity of the ith generating set in the t period are respectively c Gi and c Ri are respectively the generating cost and the preliminary cost of the ith generating set, the quadratic function expression of c Gi is shown in formula 2, and theSatisfying a power balance constraint as shown in formula 3, satisfying a transmission capacity constraint as shown in formula 4, satisfying a rotation reserve constraint as shown in formula 5, satisfying an output constraint as shown in formula 6, and satisfying a hill climbing constraint as shown in formula 7, the recessive frequency safety constraint being as shown in formula 8;
Equation 2: wherein, a i, b i and c i are all preset operation cost coefficients of the generator set;
Equation 3: wherein the said Representing the sum of the power of all loads in the t-period system;
Equation 4: wherein l is the line number of the power system, k is the node number of the power system, and The power flow transmission capacity of the ith line is represented by T li, which is the power transmission distribution coefficient of the node where the ith generator set is located to the ith line, T lk, which is the power transmission distribution coefficient of the kth node to the ith line, K, which is the number of system nodes, and the number of the system nodes, which is the number of the system nodesThe load of the kth node is t time period;
equation 5: wherein the said The upper limit of the power generation power of the ith generating set in the t period is represented, and r is a standby coefficient of the power system;
Equation 6: wherein the said And saidRespectively representing the upper limit and the lower limit of the power generation power of the ith generating set;
Equation 7: Wherein Ru i and Rd i respectively represent the speed of increasing the power generation power and the speed of reducing the power generation power of the ith generating set;
equation 8: The said Representing the maximum allowable frequency fluctuation value of the power system, wherein Δf represents the deviation value of the maximum frequency deviation standard value of the power system when power disturbance occurs;
the transformation unit is used for transforming the implicit frequency security constraint into an explicit secondary constraint through a high-dimensional model expression method;
The solving unit is used for calling a solver to solve the power system scheduling model converted by the high-dimensional model expression method so as to obtain scheduling parameters;
and the scheduling unit is used for carrying out corresponding scheduling on each power generation resource according to the scheduling parameters so as to adjust the frequency of a corresponding power system, wherein the power system comprises each power generation resource.
6. The apparatus according to claim 5, wherein the parameter obtaining unit includes: a parameter obtaining subunit;
the parameter obtaining subunit is used for obtaining the frequency modulation parameter of at least one power generation resource in the power generation resource group participating in frequency modulation, wherein the power generation resource group comprises a thermal power plant, a hydropower plant and a pumped storage power plant.
7. A computer-readable storage medium, on which a program is stored, characterized in that the program, when executed by a processor, implements the power system scheduling method according to any one of claims 1 to 4.
8. An electronic device comprising at least one processor, and at least one memory, bus coupled to the processor; the processor and the memory complete communication with each other through the bus; the processor is configured to invoke program instructions in the memory to perform the power system scheduling method of any one of claims 1 to 4.
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