CN112163749A - Power transmission system flexible planning method and system based on network solution and non-network solution - Google Patents
Power transmission system flexible planning method and system based on network solution and non-network solution Download PDFInfo
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Abstract
The invention provides a power transmission system flexible planning system and a method based on network solution and non-network solution, comprising the following steps: module M1: uniformly modeling each element in the power transmission system according to a flexible modeling method, and establishing a flexible model of the elements of the power transmission system; module M2: improving a power transmission system planning optimization model according to the power transmission system element flexible model to obtain a power transmission system double-layer flexible planning model, and establishing a power transmission system optimization-based network solution and a non-network solution to solve the power transmission system double-layer flexible planning model to obtain a final power transmission system flexible planning scheme; the method can perform unified flexible modeling on emerging elements of the power system, solve the problems of uncontrollable new energy and uncertainty, fully utilize the non-network solution regulation and control capability, reduce the investment cost and realize the design of a planning scheme under a flexible operation scene.
Description
Technical Field
The invention relates to the field of power enterprise power transmission system line extension planning, in particular to a power transmission system flexible planning method and system based on network solution and non-network solution, and more particularly relates to an extension construction scheme planning model.
Background
The planning method of the existing power transmission system of the power enterprise comprises the following steps: relevant experts study the electricity supply condition in relevant areas according to the requirements of a power grid planning technical guide file, plan a power grid for the areas with unbalanced electricity supply and overhigh load rate of a power transmission line, replace relevant equipment corresponding to the voltage grade according to policy requirements, including transformers and lines of specific models, plan line extension on simulation calculation software, mainly consider power flow balance of a power transmission system, pay attention to whether the original problem is solved or not, and whether a new problem is generated or not, and find out an optimal economic planning scheme as far as possible.
The current power transmission system planning model is as follows: and constructing an optimal model by taking the economic optimization formed by optimal economy or quantized reliability as an objective function and taking the power flow constraint, the branch capacity constraint, the N-1 constraint and the like as basic constraint conditions.
The existing power enterprise power transmission system planning method mainly has the following defects:
1. the planning scheme design market competitiveness is poor. The existing power enterprises always insist on reliability as a first target, cost is often not counted in the equipment replacement link, certain redundancy is caused, market competition is not considered under the background of 'new electricity to' electric power marketization reformation, and the development of the overall economy of the society is not facilitated to a certain extent.
2. The planning scheme design cannot adapt to the development of the power-related technology. Due to the energy crisis, the rapid development of new energy power generation and energy storage technologies, the existing planning scheme design lacks consideration on new energy power generation with intermittent and random characteristics, also lacks comprehensive consideration on schedulable flexibility resources such as interruptible loads and electric vehicles, and lacks a planning scheme design flow for realizing the balance between the flexibility resources and the uncertainty of the new energy power generation, so that the current planning scheme design flow and related models are not suitable for the future power technology development.
3. The operational scenarios considered in the planning scheme are not comprehensive. In a future power system, uncertain components and components needing to be regulated and controlled are gradually increased, so that operation scenes are complicated, an original worst scene planning method is gradually difficult to adapt to changeable operation conditions, multiple flexible operation scenes are not fully considered, and the problems of economic waste caused by redundant planning and the safety and reliability of the power system are influenced by insufficient planning are solved.
Patent document CN109830955A (application number: 201811650646.9) discloses a method for flexible planning of an electro-pneumatic distribution network that takes into account flexibility constraints and full-cycle costs. The method comprises the following steps: 1) establishing a typical planning model of an electric-gas distribution network based on CCHP coupling, which comprises the following steps: respectively establishing a target function and a constraint condition; 2) introducing flexible planning elements comprising: flexible power flow constraint and full-period planning cost; 3) forming a flexible planning model and solving, including: and describing and calling the MOSEK to solve by the flexible planning model. According to the method, a CCHP coupling electricity-gas distribution network power flow model based on a second-order cone model is established, non-convex and non-linear terms in the traditional power flow equation are eliminated, and effective solution can be carried out while calculation accuracy is ensured; aiming at various uncertainties in planning, a flexible constraint concept is introduced into a planning model, and the robust adaptability of the planning scheme to various uncertain factors is improved.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a power transmission system flexible planning system and method based on a network solution and a non-network solution.
The invention provides a power transmission system flexible planning system based on network solution and non-network solution, which comprises:
module M1: uniformly modeling each element in the power transmission system according to a flexible modeling method, and establishing a flexible model of the elements of the power transmission system;
module M2: improving a power transmission system planning optimization model according to the power transmission system element flexible model to obtain a power transmission system double-layer flexible planning model, and establishing a power transmission system optimization-based network solution and a non-network solution to solve the power transmission system double-layer flexible planning model to obtain a final power transmission system flexible planning scheme;
the flexible model of the elements of the power transmission system is used for uniformly modeling each element in the power transmission system by a flexible modeling method, and the uncertainty and the adjustment capability of new elements of the power transmission system are processed by the flexible model of the elements of the power transmission system;
the power transmission system planning optimization model is a mathematical optimization model aiming at generating an optimal planning scheme;
the double-layer flexible planning model of the power transmission system is an optimization model for bringing flexible elements into modeling.
Preferably, said module M1 comprises:
module M1.1: according to a probability interval modeling method in a flexible modeling method, carrying out passive flexible modeling on elements with uncontrollable and uncertain properties in a power transmission system according to an error fluctuation range;
module M1.2: and according to the probability interval modeling method in the flexible modeling method, performing active flexible modeling on controllable elements in the power transmission system according to the maximum regulation range.
Preferably, the flexible modeling method for power transmission system elements comprises the following steps: describing uncertainty or relaxation limiting conditions through a flexibility coefficient and a flexibility interval;
for the equality constraint c ═ a, the flexible constraint varies as follows:
c＝a→c≤a+(1-λi)pi (1)
wherein p isiThe width of the flexible interval is increased compared with the original interval and is determined by historical statistical data; lambda [ alpha ]iIs the index of flexibility; defining a compliance factor hi：
hi＝1-λi (2)
Aiming at the inequality constraint a is less than or equal to c and less than or equal to b, the flexible constraint has the following change form:
a≤c≤b→a-hipi≤c≤b+hipi (3)。
preferably, said module M2 comprises: calculating an upper layer planning main problem and a lower layer operation sub problem of the double-layer flexible planning model of the power transmission system through network solution and non-network solution iteration balance to obtain the double-layer flexible planning model of the power transmission system;
and (3) mutually taking the network solution and the non-network solution as precondition, taking the result obtained by the non-network solution as precondition of the network solution, taking the result obtained by the network solution as precondition of the non-network solution, and sequentially iterating and circulating until the network solution is not changed any more, ending iteration, and obtaining the final flexible planning scheme of the power transmission system.
Preferably, the network solution comprises: the method is obtained by solving an upper-layer planning main problem of a double-layer flexible planning model of the power transmission system, and the network solution adjusts the grid structure, including line new construction, line extension, power supply new construction and power supply capacity expansion.
Preferably, the non-network solution comprises: the method is solved by a lower-layer operation subproblem of a double-layer flexible planning model of the power transmission system, and the flexible resources are utilized for regulation and control, so that control and management are performed from a power supply and a load.
Preferably, the flexibility coefficient is an inherent attribute in a preset planning scene, the passive flexibility coefficient describes an uncertainty degree, and the active flexibility coefficient describes an adjustable degree.
Preferably, the flexibility interval is a transmission system element uncertainty range.
The invention provides a power transmission system flexible planning method based on network solution and non-network solution, which comprises the following steps:
step M1: uniformly modeling each element in the power transmission system according to a flexible modeling method, and establishing a flexible model of the elements of the power transmission system;
step M2: improving a power transmission system planning optimization model according to the power transmission system element flexible model to obtain a power transmission system double-layer flexible planning model, and establishing a power transmission system optimization-based network solution and a non-network solution to solve the power transmission system double-layer flexible planning model to obtain a final power transmission system flexible planning scheme;
the flexible model of the elements of the power transmission system is used for uniformly modeling each element in the power transmission system by a flexible modeling method, and the uncertainty and the adjustment capability of new elements of the power transmission system are processed by the flexible model of the elements of the power transmission system;
the power transmission system planning optimization model is a mathematical optimization model aiming at generating an optimal planning scheme;
and the double-layer flexible planning model of the power transmission system is brought into an optimization model of flexible element modeling.
Preferably, the step M1 includes:
step M1.1: according to a probability interval modeling method in a flexible modeling method, carrying out passive flexible modeling on elements with uncontrollable and uncertain properties in a power transmission system according to an error fluctuation range;
step M1.2: according to a probability interval modeling method in a flexible modeling method, active flexible modeling is carried out on controllable elements in a power transmission system according to a maximum regulation range;
the flexible modeling method for the power transmission system element comprises the following steps: describing uncertainty or relaxation limiting conditions through a flexibility coefficient and a flexibility interval;
for the equality constraint c ═ a, the flexible constraint varies as follows:
c＝a→c≤a+(1-λi)pi (1)
wherein p isiThe width of the flexible interval is increased compared with the original interval and is determined by historical statistical data; lambda [ alpha ]iIs the index of flexibility; defining a compliance factor hi：
hi＝1-λi (2)
Aiming at the inequality constraint a is less than or equal to c and less than or equal to b, the flexible constraint has the following change form:
a≤c≤b→a-hipi≤c≤b+hipi (3)；
the step M2 includes: calculating an upper layer planning main problem and a lower layer operation sub problem of the double-layer flexible planning model of the power transmission system through network solution and non-network solution iteration balance to obtain the double-layer flexible planning model of the power transmission system;
mutually taking the network solution and the non-network solution as precondition, taking the result obtained by the non-network solution as precondition of the network solution, taking the result obtained by the network solution as precondition of the non-network solution, and sequentially iterating and circulating until the network solution is not changed any more, ending iteration and obtaining final flexible planning scheme of the power transmission system;
the network solution includes: solving an upper layer planning main problem of a double-layer flexible planning model of the power transmission system, and adjusting a grid structure by a network solution, wherein the network solution comprises line new construction, line extension, power supply new construction and power supply capacity expansion;
the non-network solution includes: the method is characterized by comprising the following steps of solving a lower-layer operation subproblem of a double-layer flexible planning model of the power transmission system, regulating and controlling by utilizing flexible resources, and performing control management from a power supply and a load;
the flexibility coefficient is an inherent attribute in a preset planning scene, the passive flexibility coefficient describes the uncertainty degree, and the active flexibility coefficient describes the adjustable degree;
the flexibility interval is an uncertainty range of the power transmission system elements.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention meets the market competitive requirement under the background of new power transformation, and reduces the investment cost of a power transmission system by using an advanced planning model;
2. the method carries out unified modeling on emerging elements in the field of the power system, and is suitable for the future power system development situation for a long time.
3. The invention introduces flexible concept to realize unified modeling of uncertainty and flexibility, improves the scientificity of the planning model and makes the model solution more convenient;
4. the invention combines the planning construction and the operation regulation of the power system by using the concepts of network solution and non-network solution;
5. the invention uses the method of iterative equilibrium operation of network solution and non-network solution to test a plurality of operation scenes flexibly and ensure the adaptability and reliability of the planning scheme.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
fig. 1 is a frame diagram of a unified modeling study of power transmission system flexible elements.
FIG. 2 is a flow chart of an algorithm for iterative balancing operation of network solutions and non-network solutions in a network source collaborative planning model;
fig. 3 is a flow chart of a method for power transmission system flexible planning combining a network solution and a non-network solution.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
Aiming at the problems that the economic weight is lower, the development of a new energy power generation technology cannot be adapted, and the operation scene is not comprehensive considered in the background technology, the invention provides a power transmission system flexible expansion planning model combining network solution and non-network solution, which is used for a power enterprise planning and designing department, aims to solve the problems that the market competitiveness is not strong, the new technology development cannot be adapted, and the flexible operation scene is not considered in the existing power transmission system planning and designing, comprehensively considers the new energy power generation related technology, the flexible resource scheduling and distribution scheme and the social benefit of a power system, aims to realize the minimum economic cost and the optimal social benefit of the planning and designing scheme, fully considers the emerging elements in the power system, introduces the flexible concept to describe the uncertainty and the demand response capability in the power system, and adopts a network source collaborative planning method combining network solution and non-network solution, and each planning operation scene is fully utilized, so that the planning scheme can ensure the safety and reliability of the power transmission system.
Example 1
The invention provides a power transmission system flexible planning system based on network solution and non-network solution, which comprises:
the method comprehensively considers the new energy power generation related technology, the flexible resource scheduling and distributing scheme and the social benefit of the power system, thereby determining a planning and designing scheme which is suitable for the future power technology development and fully considers the flexible operation scene.
Module M1: uniformly modeling each element in the power transmission system according to a flexible modeling method, and establishing a flexible model of the elements of the power transmission system;
module M2: improving a power transmission system planning optimization model according to the power transmission system element flexible model to obtain a power transmission system double-layer flexible planning model, and establishing a power transmission system optimization-based network solution and a non-network solution to solve the power transmission system double-layer flexible planning model to obtain a final power transmission system flexible planning scheme;
all elements in the power transmission system comprise branch current, node voltage, thermal power output and the like, and emerging elements in the power transmission system, such as new energy power output, energy storage equipment and the like, are subjected to unified modeling, and uncertainty of the new elements can be processed under the condition of seeking for unified modeling.
The flexible model of the elements of the power transmission system is used for uniformly modeling each element in the power transmission system by a flexible modeling method, and the uncertainty and the adjustment capability of new elements of the power transmission system are processed by the flexible model of the elements of the power transmission system;
the power transmission system planning optimization model is a mathematical optimization model aiming at generating an optimal planning scheme;
the double-layer flexible planning model of the power transmission system is an optimization model for bringing flexible elements into modeling.
Specifically, the module M1 includes:
the flexible model of the transmission system element aims at balancing the flexible demand of the supply and demand shortage caused by the uncertainty of the operation of the power grid and realizes unified modeling;
module M1.1: according to a probability interval modeling method in a flexible modeling method, carrying out passive flexible modeling on elements with uncontrollable and uncertain properties in a power transmission system according to an error fluctuation range to describe the flexible regulation requirement of the system;
module M1.2: according to the probability interval modeling method in the flexible modeling method, active flexible modeling is carried out on controllable elements in the power transmission system according to the maximum adjusting range, and the active adjusting capacity of the system is described.
The active flexible modeling and the passive flexible modeling can improve the constraint conditions in the optimization model, so that the solution of the upper-layer planning optimization problem and the lower-layer operation optimization problem is completed.
The passive modeling obtains a fluctuation model in a probability interval form; active modeling describes the range of adjustment capabilities.
Specifically, the flexible modeling method for the power transmission system element comprises the following steps: describing uncertainty or relaxation limiting conditions through a flexibility coefficient and a flexibility interval, and taking a general mathematical expression of the limiting conditions as an example to explain a specific flexible processing method;
for the equality constraint c ═ a, the flexible constraint varies as follows:
c＝a→c≤a+(1-λi)pi (1)
wherein p isiThe width of the flexible interval is increased compared with the original interval and is determined by historical statistical data; lambda [ alpha ]iIs the index of flexibility; defining a compliance factor hi：
hi＝1-λi (2)
Aiming at the inequality constraint a is less than or equal to c and less than or equal to b, the flexible constraint has the following change form:
a≤c≤b→a-hipi≤c≤b+hipi (3)。
equality constraints refer to equality constraints in the optimized mathematical model, such as tidal balance constraints and electricity balance constraints;
the inequality constraints refer to inequality constraints in the optimization mathematical model, such as node voltage constraints and line capacity constraints.
Specifically, the module M2 includes: calculating an upper layer planning main problem and a lower layer operation sub problem of the double-layer flexible planning model of the power transmission system through network solution and non-network solution iteration balance to obtain the double-layer flexible planning model of the power transmission system;
and (3) mutually taking the network solution and the non-network solution as precondition, taking the result obtained by the non-network solution as precondition of the network solution, taking the result obtained by the network solution as precondition of the non-network solution, and sequentially iterating and circulating until the network solution is not changed any more, ending iteration, and obtaining the final flexible planning scheme of the power transmission system.
The worst scene solved by the non-network solution is used as a precondition for solving the network solution, the net rack planning scheme solved by the network solution is used as a precondition for solving the non-network solution, and the network planning scheme (a new line, an expansion scheme and a power supply new expansion scheme) is iterated and balanced when the solved network planning scheme (the new line, the expansion scheme and the power supply new expansion scheme) is not changed.
Specifically, the network solution comprises: the network solution adjusts the grid structure, including line new construction, line extension, power supply new construction and power supply extension, so that the network architecture meets the requirement of future load increase.
Specifically, the non-network solution includes: the method is obtained by solving the sub-problem of the lower-layer operation of the double-layer flexible planning model of the power transmission system, the flexible resources are utilized for regulation and control, the control and management are carried out from the power supply and the load, and the unnecessary investment of the power grid is reduced.
Specifically, the flexibility coefficient is an inherent attribute under a specific planning scene, the passive flexibility coefficient describes the uncertainty degree, the active flexibility coefficient describes the adjustable degree, the most adaptive result can be obtained through historical data modeling or wide setting, the setting of the flexibility coefficient can be determined according to the economic condition, the higher the estimated economic cost is, the larger the passive flexibility coefficient can be set, the smaller the active flexibility coefficient is, and vice versa.
Specifically, the flexible interval is the size of an uncertainty range or a controllable range of elements of the power transmission system, the passive flexible interval describes a prediction error range of the uncertainty elements, the active flexible interval describes an adjustment range or a temporary out-of-limit range of the controllable elements, a phenomenon that a certain index exceeds a specified range often occurs in actual operation of the power system to guarantee the stability of the whole system, and the out-of-limit range refers to a phenomenon that the certain index temporarily exceeds a specified allowable range.
The above-described flexible modeling is used to improve the constraints of the planning model.
The invention provides a power transmission system flexible planning method based on network solution and non-network solution, which comprises the following steps:
the method comprehensively considers the new energy power generation related technology, the flexible resource scheduling and distributing scheme and the social benefit of the power system, thereby determining a planning and designing scheme which is suitable for the future power technology development and fully considers the flexible operation scene.
Step M1: uniformly modeling each element in the power transmission system according to a flexible modeling method, and establishing a flexible model of the elements of the power transmission system;
step M2: improving a power transmission system planning optimization model according to the power transmission system element flexible model to obtain a power transmission system double-layer flexible planning model, and establishing a power transmission system optimization-based network solution and a non-network solution to solve the power transmission system double-layer flexible planning model to obtain a final power transmission system flexible planning scheme;
all elements in the power transmission system comprise branch current, node voltage, thermal power output and the like, and emerging elements in the power transmission system, such as new energy power output, energy storage equipment and the like, are subjected to unified modeling, and uncertainty of the new elements can be processed under the condition of seeking for unified modeling.
The flexible model of the elements of the power transmission system is used for uniformly modeling each element in the power transmission system by a flexible modeling method, and the uncertainty and the adjustment capability of new elements of the power transmission system are processed by the flexible model of the elements of the power transmission system;
the power transmission system planning optimization model is a mathematical optimization model aiming at generating an optimal planning scheme;
the double-layer flexible planning model of the power transmission system is an optimization model for bringing flexible elements into modeling.
Specifically, the step M1 includes:
the flexible model of the transmission system element aims at balancing the flexible demand of the supply and demand shortage caused by the uncertainty of the operation of the power grid and realizes unified modeling;
step M1.1: according to a probability interval modeling method in a flexible modeling method, carrying out passive flexible modeling on elements with uncontrollable and uncertain properties in a power transmission system according to an error fluctuation range to describe the flexible regulation requirement of the system;
step M1.2: according to the probability interval modeling method in the flexible modeling method, active flexible modeling is carried out on controllable elements in the power transmission system according to the maximum adjusting range, and the active adjusting capacity of the system is described.
The active flexible modeling and the passive flexible modeling can improve the constraint conditions in the optimization model, so that the solution of the upper-layer planning optimization problem and the lower-layer operation optimization problem is completed.
The passive modeling obtains a fluctuation model in a probability interval form; active modeling describes the range of adjustment capabilities.
Specifically, the flexible modeling method for the power transmission system element comprises the following steps: describing uncertainty or relaxation limiting conditions through a flexibility coefficient and a flexibility interval, and taking a general mathematical expression of the limiting conditions as an example to explain a specific flexible processing method;
for the equality constraint c ═ a, the flexible constraint varies as follows:
c＝a→c≤a+(1-λi)pi (1)
wherein p isiThe width of the flexible interval is increased compared with the original interval and is determined by historical statistical data; lambda [ alpha ]iIs the index of flexibility; defining a compliance factor hi：
hi＝1-λi (2)
Aiming at the inequality constraint a is less than or equal to c and less than or equal to b, the flexible constraint has the following change form:
a≤c≤b→a-hipi≤c≤b+hipi (3)。
equality constraints refer to equality constraints in the optimized mathematical model, such as tidal balance constraints and electricity balance constraints;
the inequality constraints refer to inequality constraints in the optimization mathematical model, such as node voltage constraints and line capacity constraints.
Specifically, the step M2 includes: calculating an upper layer planning main problem and a lower layer operation sub problem of the double-layer flexible planning model of the power transmission system through network solution and non-network solution iteration balance to obtain the double-layer flexible planning model of the power transmission system;
and (3) mutually taking the network solution and the non-network solution as precondition, taking the result obtained by the non-network solution as precondition of the network solution, taking the result obtained by the network solution as precondition of the non-network solution, and sequentially iterating and circulating until the network solution is not changed any more, ending iteration, and obtaining the final flexible planning scheme of the power transmission system.
The worst scene solved by the non-network solution is used as a precondition for solving the network solution, the net rack planning scheme solved by the network solution is used as a precondition for solving the non-network solution, and the network planning scheme (a new line, an expansion scheme and a power supply new expansion scheme) is iterated and balanced when the solved network planning scheme (the new line, the expansion scheme and the power supply new expansion scheme) is not changed.
Specifically, the network solution comprises: the network solution adjusts the grid structure, including line new construction, line extension, power supply new construction and power supply extension, so that the network architecture meets the requirement of future load increase.
Specifically, the non-network solution includes: the method is obtained by solving the sub-problem of the lower-layer operation of the double-layer flexible planning model of the power transmission system, the flexible resources are utilized for regulation and control, the control and management are carried out from the power supply and the load, and the unnecessary investment of the power grid is reduced.
Specifically, the flexibility coefficient is an inherent attribute under a specific planning scene, the passive flexibility coefficient describes the uncertainty degree, the active flexibility coefficient describes the adjustable degree, the most adaptive result can be obtained through historical data modeling or wide setting, the setting of the flexibility coefficient can be determined according to the economic condition, the higher the estimated economic cost is, the larger the passive flexibility coefficient can be set, the smaller the active flexibility coefficient is, and vice versa.
Specifically, the flexible interval is the size of an uncertainty range or a controllable range of elements of the power transmission system, the passive flexible interval describes a prediction error range of the uncertainty elements, the active flexible interval describes an adjustment range or a temporary out-of-limit range of the controllable elements, a phenomenon that a certain index exceeds a specified range often occurs in actual operation of the power system to guarantee the stability of the whole system, and the out-of-limit range refers to a phenomenon that the certain index temporarily exceeds a specified allowable range.
The above-described flexible modeling is used to improve the constraints of the planning model.
Example 2
Example 2 is a modification of example 1
The embodiments of the present invention will be described in detail below with reference to the accompanying drawings: the present embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and a process are given, but the scope of the present invention is not limited to the following embodiments.
The embodiment is used for planning scheme design of a power transmission system in a specific range.
As shown in fig. 1-2 and 3, the present embodiment includes: flexible modeling of a power transmission system and iterative balancing operation of network solution and non-network solution, wherein:
as shown in fig. 1, the flexible modeling of the power transmission system is to perform unified modeling on each element in the power transmission system, and further improve related constraint conditions in a planning model, and the flexible modeling of a conventional load and an interruptible load is taken as an example to illustrate the element modeling situation in this embodiment:
element modeling mainly converts numerical representation in a traditional planning model into more scientific interval representation, and the flexible interval is described by T (y) in the embodiment.
T(PL,i)＝{PL,i|PLN,i-αLΔPL,imax≤PL,i≤PLN,i+αLΔPL,imax}
In the formula: pL,iIs the load value of node i; pLN,iThe load prediction value of the node i is obtained; delta PL,imaxPredicting an error for the maximum load of the node i, namely a passive flexible interval; alpha is alphaLPassive compliance coefficient for load; subscript L denotes load, subscript LN denotes load prediction;
the above formula represents the flexible modeling of the load of a certain node, describes the error of load prediction by a passive flexibility coefficient and a flexibility interval, and represents the uncertainty in the form of the interval.
T(PLC,i)＝{PLC,i|PLN,i-βLΔPLC,imax≤PLC,i≤PLN,i+βLΔPLC,imax}
In the formula: pLC,iLoad value adjusted for node i; delta PLC,imaxThe controllable load maximum regulating quantity of the node i is an active flexible interval; beta is aLAn active compliance factor for a controllable load; subscript LC represents a controllable load;
the above formula represents the flexible modeling of the controllable load of a certain node, the interruptible load regulation range is described by the active flexibility coefficient and the flexibility interval, and the controllability is represented in the interval form.
The flexible modeling of the constraint conditions of the power transmission system planning model is to flexibly and uniformly model each traditional constraint condition or constraint conditions involving energy storage equipment and renewable energy, and is explained by taking the upper limit constraint of power of a thermal power generating unit and the upper limit constraint of power of a renewable energy generating unit as examples:
in the formula, GTi(t) is the active power of the thermal power generating unit i at the moment t,
and
respectively representing the upper and lower power limits allowed by the thermal power generating unit i;Tthe active flexibility coefficient of the thermal power generating unit; p is a radical ofTThe active flexible interval is allowed by the output of the thermal power generating unit and can be determined by the spare capacity.
The mode of adding the interval to the traditional thermal power unit power upper limit constraint embodies the flexibility of thermal power unit output regulation and control.
In the formula, Gri(t) is the active power of the renewable energy generator set i at time t,
and
the upper and lower power limits allowed by the renewable energy generator set i are respectively set;rjis the passive flexibility coefficient of the jth renewable energy generator set; p is a radical offrj,iThe maximum error of the output prediction of the jth renewable energy power generator set i by using the prediction method f is a passive flexible interval.
The above formula adds an interval form to the power upper limit constraint of the renewable energy generator set, and describes the uncertainty of the output of the new energy generator set.
In this embodiment, the economic objectives of the planning model include a new line, a planning construction cost of line expansion, and an operation regulation and control cost of wind and light abandonment and load shedding.
In the above embodiment, for similar flexible constraint conditions, a two-layer network source collaborative planning model is established, where the upper layer is a main planning problem and the lower layer is a sub-operation problem. The sub-problem of operation aims at optimizing operation and screening the worst scene, and the main problem of planning aims at generating a planning design scheme of a power transmission system.
Fig. 2 is a flowchart of an algorithm for iterative balancing of a network solution solved by an upper model and a non-network solution solved by a lower model. The specific process is as follows:
step one, considering the network condition of a reference year, namely the power transmission system grid topological structure and the power load distribution condition of the reference year, optimizing the operation subproblem to obtain a non-network solution, namely an optimal scheduling scheme of each scene, making a preposed preparation for screening the worst scene, and entering step two;
step two, taking the shadow price of the resource to be planned as the evaluation index of scene limitation to screen out the most serious limited operation scene, and entering step three;
step three, a set consisting of the most restricted operation scenes is considered in the upper-layer planning optimization problem to realize a network solution of power transmission network planning, and the step four is entered;
step four, transferring the network solution from the planning main problem to the operation sub-problem as known data, performing operation adaptability evaluation again, namely performing operation optimization on each scene under the condition of a new net rack, and entering step five;
step five, operating the step two and the step three, if the network expansion planning scheme does not change, regarding that the iteration balance is achieved, and outputting a final expansion scheme; otherwise, go to step four.
The shadow price is that when the constraint condition of the corresponding network resource (such as a line) acts in the economic scheduling model considering the network constraint, the shadow price represents that the scheduling cost is reduced by assuming that the resource is expanded by 1 unit (such as line expansion 1MW), and the influence of the network expansion on the operation is reflected.
Those skilled in the art will appreciate that, in addition to implementing the systems, apparatus, and various modules thereof provided by the present invention in purely computer readable program code, the same procedures can be implemented entirely by logically programming method steps such that the systems, apparatus, and various modules thereof are provided in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Therefore, the system, the device and the modules thereof provided by the present invention can be considered as a hardware component, and the modules included in the system, the device and the modules thereof for implementing various programs can also be considered as structures in the hardware component; modules for performing various functions may also be considered to be both software programs for performing the methods and structures within hardware components.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (10)
1. A power transmission system flexible planning system based on a network solution and a non-network solution, comprising:
module M1: uniformly modeling each element in the power transmission system according to a flexible modeling method, and establishing a flexible model of the elements of the power transmission system;
module M2: improving a power transmission system planning optimization model according to the power transmission system element flexible model to obtain a power transmission system double-layer flexible planning model, and establishing a power transmission system optimization-based network solution and a non-network solution to solve the power transmission system double-layer flexible planning model to obtain a final power transmission system flexible planning scheme;
the flexible model of the elements of the power transmission system is used for uniformly modeling each element in the power transmission system by a flexible modeling method, and the uncertainty and the adjustment capability of new elements of the power transmission system are processed by the flexible model of the elements of the power transmission system;
the power transmission system planning optimization model is a mathematical optimization model aiming at generating an optimal planning scheme;
the double-layer flexible planning model of the power transmission system is an optimization model for bringing flexible elements into modeling.
2. The network solution and non-network solution based power transmission system flexibility planning system according to claim 1, wherein said module M1 comprises:
module M1.1: according to a probability interval modeling method in a flexible modeling method, carrying out passive flexible modeling on elements with uncontrollable and uncertain properties in a power transmission system according to an error fluctuation range;
module M1.2: and according to the probability interval modeling method in the flexible modeling method, performing active flexible modeling on controllable elements in the power transmission system according to the maximum regulation range.
3. The network solution and non-network solution based power transmission system flexibility planning system of claim 1, wherein the power transmission system element flexibility modeling method comprises: describing uncertainty or relaxation limiting conditions through a flexibility coefficient and a flexibility interval;
for the equality constraint c ═ a, the flexible constraint varies as follows:
c＝a→c≤a+(1-λi)pi (1)
wherein p isiThe width of the flexible interval is increased compared with the original interval and is determined by historical statistical data; lambda [ alpha ]iIs the index of flexibility;
defining a compliance factor hi：
hi＝1-λi (2)
Aiming at the inequality constraint a is less than or equal to c and less than or equal to b, the flexible constraint has the following change form:
a≤c≤b→a-hipi≤c≤b+hipi (3)。
4. the network solution and non-network solution based power transmission system flexibility planning system according to claim 1, wherein said module M2 comprises: calculating an upper layer planning main problem and a lower layer operation sub problem of the double-layer flexible planning model of the power transmission system through network solution and non-network solution iteration balance to obtain the double-layer flexible planning model of the power transmission system;
and (3) mutually taking the network solution and the non-network solution as precondition, taking the result obtained by the non-network solution as precondition of the network solution, taking the result obtained by the network solution as precondition of the non-network solution, and sequentially iterating and circulating until the network solution is not changed any more, ending iteration, and obtaining the final flexible planning scheme of the power transmission system.
5. The network and non-network solution based power transmission system flexibility planning system of claim 4, wherein the network solution comprises: the method is obtained by solving an upper-layer planning main problem of a double-layer flexible planning model of the power transmission system, and the network solution adjusts the grid structure, including line new construction, line extension, power supply new construction and power supply capacity expansion.
6. The network solution and non-network solution based power transmission system flexibility planning system of claim 4, wherein the non-network solution comprises: the method is solved by a lower-layer operation subproblem of a double-layer flexible planning model of the power transmission system, and the flexible resources are utilized for regulation and control, so that control and management are performed from a power supply and a load.
7. The network solution and non-network solution based power transmission system flexibility planning system according to claim 3, wherein the flexibility factor is an inherent property in a preset planning scenario, a passive flexibility factor describes a degree of uncertainty, and an active flexibility factor describes a degree of adjustability.
8. The network solution and non-network solution based power transmission system flexibility planning system of claim 3, wherein the flexibility interval is a power transmission system element uncertainty range.
9. A power transmission system flexible planning method based on network solution and non-network solution is characterized by comprising the following steps:
step M1: uniformly modeling each element in the power transmission system according to a flexible modeling method, and establishing a flexible model of the elements of the power transmission system;
step M2: improving a power transmission system planning optimization model according to the power transmission system element flexible model to obtain a power transmission system double-layer flexible planning model, and establishing a power transmission system optimization-based network solution and a non-network solution to solve the power transmission system double-layer flexible planning model to obtain a final power transmission system flexible planning scheme;
the flexible model of the elements of the power transmission system is used for uniformly modeling each element in the power transmission system by a flexible modeling method, and the uncertainty and the adjustment capability of new elements of the power transmission system are processed by the flexible model of the elements of the power transmission system;
the power transmission system planning optimization model is a mathematical optimization model aiming at generating an optimal planning scheme;
the double-layer flexible planning model of the power transmission system is an optimization model for bringing flexible elements into modeling.
10. The method for power transmission system flexibility planning based on network solution and non-network solution according to claim 9, wherein said step M1 comprises:
step M1: according to a probability interval modeling method in a flexible modeling method, carrying out passive flexible modeling on elements with uncontrollable and uncertain properties in a power transmission system according to an error fluctuation range;
step M2: according to a probability interval modeling method in a flexible modeling method, active flexible modeling is carried out on controllable elements in a power transmission system according to a maximum regulation range;
the flexible modeling method for the power transmission system element comprises the following steps: describing uncertainty or relaxation limiting conditions through a flexibility coefficient and a flexibility interval;
for the equality constraint c ═ a, the flexible constraint varies as follows:
c＝a→c≤a+(1-λi)pi (1)
wherein p isiThe width of the flexible interval is increased compared with the original interval and is determined by historical statistical data; lambda [ alpha ]iIs the index of flexibility;
defining a compliance factor hi：
hi＝1-λi (2)
Aiming at the inequality constraint a is less than or equal to c and less than or equal to b, the flexible constraint has the following change form:
a≤c≤b→a-hipi≤c≤b+hipi (3)；
the step M2 includes: calculating an upper layer planning main problem and a lower layer operation sub problem of the double-layer flexible planning model of the power transmission system through network solution and non-network solution iteration balance to obtain the double-layer flexible planning model of the power transmission system;
mutually taking the network solution and the non-network solution as precondition, taking the result obtained by the non-network solution as precondition of the network solution, taking the result obtained by the network solution as precondition of the non-network solution, and sequentially iterating and circulating until the network solution is not changed any more, ending iteration and obtaining final flexible planning scheme of the power transmission system;
the network solution includes: solving an upper layer planning main problem of a double-layer flexible planning model of the power transmission system, and adjusting a grid structure by a network solution, wherein the network solution comprises line new construction, line extension, power supply new construction and power supply capacity expansion;
the non-network solution includes: the method is characterized by comprising the following steps of solving a lower-layer operation subproblem of a double-layer flexible planning model of the power transmission system, regulating and controlling by utilizing flexible resources, and performing control management from a power supply and a load;
the flexibility coefficient is an inherent attribute in a preset planning scene, the passive flexibility coefficient describes the uncertainty degree, and the active flexibility coefficient describes the adjustable degree;
the flexibility interval is an uncertainty range of the power transmission system elements.
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