CN112202172B - Power grid planning method and device based on unit combination and network structure optimization - Google Patents
Power grid planning method and device based on unit combination and network structure optimization Download PDFInfo
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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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
-
- 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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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention provides a power grid planning method and device based on unit combination and network structure optimization, and relates to the technical field of power grid operation, wherein the specific method comprises the following steps: s1: acquiring a power grid historical database and establishing a line planning scheme; s2: and based on a line planning scheme, establishing an optimized objective function, and solving an optimal solution for the objective function to obtain an optimal power grid plan. The method and the device provided by the invention can improve the refinement degree of the power grid planning in the prior art and improve the economical efficiency of the power grid operation.
Description
Technical Field
The invention relates to the technical field of power grid operation, in particular to a power grid planning method and device based on unit combination and network structure optimization.
Background
Grid planning is an important component of power system planning. The basic tasks of power grid planning are: for given load level and power generation resources of the future planning year, the position, capacity, time and other factors of a newly built line are determined on the basis of the existing grid structure so as to meet the load demand of a future power grid and the requirements of safety and reliability of the system. Some basic problems to be solved in the power grid planning work include: how to evaluate the validity of a power grid planning scheme, how to consider various constraint conditions of a power grid, how to effectively process various uncertainty factors faced by power grid planning, and the like. From the aspect of planning objectives, the objective functions considered in the grid planning mainly include minimum investment costs, minimum running costs, minimum reliability losses, etc.
In order to have an effective impact on wind power access, the power system is required to have sufficient flexibility. On the one hand, the power supply has enough regulation capability to ensure the real-time power balance of the system, and on the other hand, the topological structure of the power grid should be flexible enough to adapt to the complex and variable operation modes of the power grid.
In terms of power supply flexibility, unit Community (UC) is an important component of the optimal operation of an electrical power system. The reasonable unit combination planning is not only beneficial to balancing the load of the power system which changes in real time and improving the reliability of power supply of the system, but also can guide the power department to reasonably input and withdraw units according to load prediction data and distribute the output of each unit, thereby reducing the power generation cost of the system.
In the aspect of flexibility of a power grid topological structure, the power transmission network structural optimization (Optimal Transmission Switching, OTS) flexibly changes the topology of a network by changing the on-off state of a power transmission line, thereby changing the trend distribution, the operation characteristics and the like of a system, and has remarkable effects on reducing the loss of the system, improving the operation economy of the system, eliminating network blockage and voltage out-of-limit, improving the short circuit level of the system and the like. The optimization of the transmission network structure is considered in the power grid planning, is an important means for increasing the flexibility of the system network structure, and has important significance for improving the renewable energy source of the power grid and the safe and economic operation level of the system.
How to simultaneously embed a unit combination and a transmission network structure optimization in power network planning work, especially power network planning of a power system containing renewable energy sources, so as to improve the refinement and scientificity of the power network planning work is one of key problems to be solved.
Disclosure of Invention
Therefore, the invention aims to provide a power grid planning method and device based on unit combination and network structure optimization, so as to improve the refinement degree of power grid planning in the prior art and improve the economical efficiency of power grid operation.
The invention provides a power grid planning method based on unit combination and network structure optimization, which comprises the following steps:
s1: acquiring a power grid historical database and establishing a line planning scheme;
s2: and based on a line planning scheme, establishing an optimized objective function, and solving an optimal solution for the objective function to obtain an optimal power grid plan.
Preferably, in step S1: acquiring a power grid history database, establishing a line planning scheme,
the transmission corridor line constraints are expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,representing the maximum number of transmission corridor k allowed to build new lines; η (eta) l And (3) representing whether a line l is newly built or not, and a variable of 0-1, wherein if a branch is newly built, the variable is 1, otherwise, the variable is 0.
Preferably, step S2: based on a line planning scheme, establishing an optimized objective function, and solving an optimal solution for the objective function to obtain an optimal power grid plan:
the optimization objective function is:
wherein, the liquid crystal display device comprises a liquid crystal display device,
C total -the total cost of the grid planning scheme;
C con -converting system construction costs to planned horizontal years;
Ω S planning horizontal year system operation scenesA collection;
ρ s -probability of scene s;
-system running cost, abandoned renewable energy penalty cost and load shedding cost under the scene s;
Ω Bran2con -candidate newly created branch set;
-the annual construction costs of branch l;
η l -whether to create a line/decision variable;
nt—unit combination optimization cycle;
Ω G -a collection of conventional gensets;
a k ，b k and c k -generating cost function quadratic term coefficient, first term coefficient and constant term coefficient of the unit k;
-in scenario s, the active output of generator k during period t;
h s,k,t -0-1 variable representing whether the unit k is turned on in a period t under the scene sThe starting-up cost of the unit k is represented;
Ω W -a collection of wind farms;
Ω D -a load set;
c cut 、c shed -discarding the penalty cost coefficients of renewable energy and cut-off;
in scenario s, the wind farm k has a wind curtailed power during period t;
in scene s, the load i is the cut load amount at time period t.
Preferably, the new line satisfies the following constraint:
wherein, gamma s,l The running state of the line l in the scene s is represented as a 0-1 variable, and in the scene s, if the branch l is put into operation, the running state is 1, otherwise, the running state is 0.
Preferably, whether the line allows the break constraint is expressed as:
wherein beta is l Indicating whether the line l is allowed to be disconnected, if so, the line l is 1, otherwise, the line l is 0; omega shape Branch Representing an existing branch set in the power grid; gamma ray s,l The running state of the line l in the scene s is represented as a 0-1 variable, and in the scene s, if the branch l is put into operation, the running state is 1, otherwise, the running state is 0.
Preferably, the maximum open circuit constraint is expressed as:
wherein n is o The number of lines that are allowed to be opened at maximum is represented; omega shape Branch Representing an existing set of branches in the grid.
Preferably, the unit on-state constraint is expressed as:
h s,k,t ≥o s,k,t -o s,k,t-1 ；
h s,k,t ≤0.5(o s,k,t -o s,k,t-1 +1)；
wherein o is s,k,t Representation fieldThe running state of the unit k in the period t under the scene s, wherein 1 represents starting up and running, and 0 represents stopping;
when o s,k,t =1 and o s,k,t-1 When=0, i.e. if in the operation scene s, the kth unit is started up in the t period, h s,k,t The value is 1;
when o s,k,t ＝o s,k,t-1 =0 or o s,k,t ＝o s,k,t-1 When=1, the unit start-up state constraint is not active;
when o s,k,t =0 and o s,k,t-1 When=1, the unit start-up state constraint is not active;
when o s,k,t =1 and o s,k,t-1 When=0, the unit start-up state constraint is not active;
when o s,k,t ＝o s,k,t-1 =0 or o s,k,t ＝o s,k,t-1 When=1, h s,k,t ＝0；
When o s,k,t =0 and o s,k,t-1 When=1, h s,k,t ＝0。
Preferably, the minimum on-time constraint and the minimum off-time constraint are expressed as:
wherein T is k on And T k off Representing the minimum continuous running time and minimum continuous downtime of the unit k, respectively.
The generator active force constraint is expressed as:
wherein P is k GMax And P k GMin Respectively representGenerator k allows maximum and minimum active output.
The generator climbing constraint is expressed as:
the upper and lower rotational back-up constraints are expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,representing an upper rotation reserve constraint of a system of a t-th period in a scene s; />Representing the lower rotational reserve constraint of the system at time t in scene s.
The node power constraint is expressed as:
wherein pi g (i) A set of generators representing access nodes i; pi w (i) A set of wind farms representing access nodes i; pi bf (i) Representing a branch set taking a node i as a starting node; pi bt (i) Representing a branch set taking a node i as a termination node;in a scene s, the active output prediction of a wind farm k in a period t is represented; />Representing the active power flow of branch l in period t in scene s; />Representing the active load of node i in scenario s during period t.
The branch tidal current upper and lower limit constraints are expressed as:
wherein P is l BMax Indicating the maximum active power that branch l allows to transmit.
The branch tidal current constraint is expressed as:
where M is a sufficiently large number for modeling;representing the reactance of branch l; θ s,i,t Representing the phase angle of node i in time period t in scene s.
The node phase angle constraint is expressed as:
-θ max ≤θ s,i,t ≤θ max ；
wherein θ max Indicating that the node allows the maximum phase angle.
The reference node phase angle constraint is expressed as:
θ ref,s,t ＝0；
the cut load constraint is expressed as:
the rejection of renewable energy constraints is expressed as:
on the other hand, the invention provides a power grid planning device based on unit combination and network structure optimization, which comprises:
planning scheme making module: the method comprises the steps of acquiring a power grid historical database and establishing a line planning scheme;
and a power grid planning module: the method is used for establishing an optimized objective function based on a line planning scheme, and solving an optimal solution for the objective function to obtain an optimal power grid plan.
The relative steps, numerical expressions and numerical values of the components and steps set forth in these embodiments do not limit the scope of the present invention unless it is specifically stated otherwise.
The embodiment of the invention has the following beneficial effects: the invention provides a power grid planning method and device based on unit combination and network structure optimization, and the specific method comprises the following steps: s1: acquiring a power grid historical database and establishing a line planning scheme; s2: and based on a line planning scheme, establishing an optimized objective function, and solving an optimal solution for the objective function to obtain an optimal power grid plan. The method and the device provided by the invention can improve the refinement degree of the power grid planning in the prior art and improve the economical efficiency of the power grid operation.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a power grid planning method based on unit combination and network structure optimization according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
At present, how to simultaneously embed a unit combination and a power transmission network structure optimization in power grid planning work, especially in power grid planning of a power system containing renewable energy sources, so as to improve the definition and scientificity of the power transmission network planning work is one of key problems to be solved urgently.
For the sake of understanding the present embodiment, first, a power grid planning method based on unit combination and network structure optimization disclosed in the present embodiment is described in detail.
Embodiment one:
the invention provides a power grid planning method based on unit combination and network structure optimization, which comprises the following steps:
s1: acquiring a power grid historical database and establishing a line planning scheme;
s2: and based on a line planning scheme, establishing an optimized objective function, and solving an optimal solution for the objective function to obtain an optimal power grid plan.
Preferably, in step S1: acquiring a power grid history database, establishing a line planning scheme,
the transmission corridor line constraints are expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,representing the maximum number of transmission corridor k allowed to build new lines; η (eta) l And (3) representing whether a line l is newly built or not, and a variable of 0-1, wherein if a branch is newly built, the variable is 1, otherwise, the variable is 0.
Preferably, step S2: based on a line planning scheme, establishing an optimized objective function, and solving an optimal solution for the objective function to obtain an optimal power grid plan:
the optimization objective function is:
wherein, the liquid crystal display device comprises a liquid crystal display device,
C total -the total cost of the grid planning scheme;
C con system construction reduced to planned level yearsSetting cost;
Ω S -planning a horizontal annual system operation scenario set;
ρ s -probability of scene s;
-system running cost, abandoned renewable energy penalty cost and load shedding cost under the scene s;
Ω Bran2con -candidate newly created branch set;
-the annual construction cost of branch l;
η l -whether to create a line/decision variable;
nt—unit combination optimization cycle;
Ω G -a collection of conventional gensets;
a k ，b k and c k -generating cost function quadratic term coefficient, first term coefficient and constant term coefficient of the unit k;
in scenario s, the active output of generator k during period t;
h s,k,t -0-1 variable representing whether the unit k is turned on in a period t under the scene sThe starting-up cost of the unit k is represented;
Ω W -a collection of wind farms;
Ω D -a load set;
c cut 、c shed -discarding the penalty cost coefficients of renewable energy and cut-off;
in scenario s, the wind farm k has a wind curtailed power during period t;
in scene s, the load i is the cut load amount at time period t.
Preferably, the new line satisfies the following constraint:
wherein, gamma s,l The running state of the line l in the scene s is represented as a 0-1 variable, and in the scene s, if the branch l is put into operation, the running state is 1, otherwise, the running state is 0.
Preferably, whether the line allows the break constraint is expressed as:
wherein beta is l Indicating whether the line l is allowed to be disconnected, if so, the line l is 1, otherwise, the line l is 0; omega shape Branch Representing an existing branch set in the power grid; gamma ray s,l Representing the running state of the line l in the scene s, and a variable of 0-1, wherein in the scene s, if the branch l is put into operation, the running state is 1; otherwise, 0.
Preferably, the maximum open circuit constraint is expressed as:
wherein n is o The number of lines that are allowed to be opened at maximum is represented; omega shape Branch Representing an existing set of branches in the grid.
Preferably, the unit on-state constraint is expressed as:
h s,k,t ≥o s,k,t -o s,k,t-1 ；
h s,k,t ≤0.5(o s,k,t -o s,k,t-1 +1)；
wherein o is s,k,t The running state of a unit k in a period t under a scene s is represented, 1 represents starting-up running, and 0 represents stopping;
when o s,k,t =1 and o s,k,t-1 When=0, i.e. if in the operation scene s, the kth unit is started up in the t period, h s,k,t The value is 1;
when o s,k,t ＝o s,k,t-1 =0 or o s,k,t ＝o s,k,t-1 When=1, the unit start-up state constraint is not active;
when o s,k,t =0 and o s,k,t-1 When=1, the unit start-up state constraint is not active;
when o s,k,t =1 and o s,k,t-1 When=0, the unit start-up state constraint is not active;
when o s,k,t ＝o s,k,t-1 =0 or o s,k,t ＝o s,k,t-1 When=1, h s,k,t ＝0；
When o s,k,t =0 and o s,k,t-1 When=1, h s,k,t ＝0。
Preferably, the minimum on-time constraint and the minimum off-time constraint are expressed as:
wherein T is k on And T k off Representing the minimum continuous running time and minimum continuous downtime of the unit k, respectively.
The generator active force constraint is expressed as:
wherein P is k GMax And P k GMin Representing the allowable maximum and minimum active output of generator k, respectively.
The generator climbing constraint is expressed as:
the upper and lower rotational back-up constraints are expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,representing an upper rotation reserve constraint of a system of a t-th period in a scene s; />Representing the lower rotational reserve constraint of the system at time t in scene s.
The node power constraint is expressed as:
wherein pi g (i) A set of generators representing access nodes i; pi w (i) A set of wind farms representing access nodes i; pi bf (i) Representing a branch set taking a node i as a starting node; pi bt (i) Representing a branch set taking a node i as a termination node;representing the active power out of the wind farm k in a period t in a scene sPredicting force; />Representing the active power flow of branch l in period t in scene s; />Representing the active load of node i in scenario s during period t.
The branch tidal current upper and lower limit constraints are expressed as:
wherein P is l BMax Indicating the maximum active power that branch l allows to transmit.
The branch tidal current constraint is expressed as:
where M is a sufficiently large number for modeling;representing the reactance of branch l; θ s,i,t Representing the phase angle of node i in time period t in scene s.
The node phase angle constraint is expressed as:
-θ max ≤θ s,i,t ≤θ max ；
wherein θ max Indicating that the node allows the maximum phase angle.
The reference node phase angle constraint is expressed as:
θ ref,s,t ＝0；
the cut load constraint is expressed as:
the rejection of renewable energy constraints is expressed as:
embodiment two:
the second embodiment of the invention provides a power grid planning device based on unit combination and network structure optimization, which comprises:
planning scheme making module: the method comprises the steps of acquiring a power grid historical database and establishing a line planning scheme;
and a power grid planning module: the method is used for establishing an optimized objective function based on a line planning scheme, and solving an optimal solution for the objective function to obtain an optimal power grid plan.
The relative steps, numerical expressions and numerical values of the components and steps set forth in these embodiments do not limit the scope of the present invention unless it is specifically stated otherwise.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system and apparatus may refer to corresponding procedures in the foregoing method embodiments, which are not described herein again.
In addition, in the description of embodiments of the present invention, unless explicitly stated and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
In the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (7)
1. The utility model provides a power grid planning method based on unit combination and network structure optimization, which is characterized by comprising the following steps:
s1: acquiring a power grid historical database and establishing a line planning scheme;
the transmission corridor line constraints are expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,representing the maximum number of transmission corridor k allowed to build new lines; η (eta) l A variable of 0-1, which indicates whether a new line l is established, if a new branch is established, the variable is 1, otherwise, the variable is 0;
s2: based on a line planning scheme, an optimized objective function is established, and an optimal solution is obtained for the objective function to obtain an optimal power grid plan;
the optimization objective function is:
wherein, the liquid crystal display device comprises a liquid crystal display device,
C total -the total cost of the grid planning scheme;
C con -converting system construction costs to planned horizontal years;
Ω S -planning a horizontal annual system operation scenario set;
ρ s -probability of scene s;
-system running cost, abandoned renewable energy penalty cost and load shedding cost under the scene s;
Ω Bran2con -candidate newly created branch set;
-the annual construction costs of branch l;
η l -whether to create a line/decision variable;
nt—unit combination optimization cycle;
Ω G -a collection of conventional gensets;
a k ，b k and c k -generating cost function quadratic term coefficient, first term coefficient and constant term coefficient of the unit k;
-in scenario s, the active output of generator k during period t;
h s,k,t -0-1 variable representing whether the unit k is turned on in a period t under the scene sThe starting-up cost of the unit k is represented;
Ω W -a collection of wind farms;
Ω D -a load set;
c cut and c shed -discarding the penalty cost coefficients of renewable energy and cut-off;
in scenario s, the wind farm k has a wind curtailed power during period t;
in scene s, the load i is the cut load amount at time period t.
2. The method of claim 1, wherein the newly created line satisfies the following constraints:
wherein, gamma s,l The running state of the line l in the scene s is represented as a 0-1 variable, and in the scene s, if the branch l is put into operation, the running state is 1, otherwise, the running state is 0.
3. The method of claim 1, wherein whether the line allows the break constraint is expressed as:
wherein beta is l Indicating whether the line l is allowed to be disconnected, if so, the line l is 1, otherwise, the line l is 0; omega shape Branch Representing an existing branch set in the power grid; gamma ray s,l The running state of the line l in the scene s is represented as a 0-1 variable, and in the scene s, if the branch l is put into operation, the running state is 1, otherwise, the running state is 0.
4. The method of claim 1, wherein the maximum open circuit constraint is expressed as:
wherein n is o The number of lines that are allowed to be opened at maximum is represented; omega shape Branch Representing an existing set of branches in a power grid, gamma s,l The running state of the line l in the scene s is represented as a 0-1 variable, and in the scene s, if the branch l is put into operation, the running state is 1, otherwise, the running state is 0.
5. The method of claim 1, wherein the unit on-state constraints are expressed as:
h s,k,t ≥o s,k,t -o s,k,t-1
h s,k,t ≤0.5(o s,k,t -o s,k,t-1 +1)；
wherein o is s,k,t The running state of a unit k in a period t under a scene s is represented, 1 represents starting-up running, and 0 represents stopping;
o s,k,t-1 the running state of a unit k in a period t-1 under a scene s is represented, 1 represents starting-up running, and 0 represents stopping;
when o s,k,t =1 and o s,k,t-1 When=0, i.e. if in the operation scene s, the kth unit is started up in the t period, h s,k,t The value is 1;
when o s,k,t ＝o s,k,t-1 =0 or o s,k,t ＝o s,k,t-1 When=1, the unit start-up state constraint is not active;
when o s,k,t =0 and o s,k,t-1 When=1, the unit start-up state constraint is not active;
when o s,k,t =1 and o s,k,t-1 When=0, the unit start-up state constraint is not active;
when o s,k,t ＝o s,k,t-1 =0 or o s,k,t ＝o s,k,t-1 When=1, h s,k,t ＝0；
When o s,k,t =0 and o s,k,t-1 When=1, h s,k,t ＝0。
6. The method of claim 1, wherein the minimum on-time constraint and the minimum off-time constraint are expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,and->Representing the minimum continuous running time and the minimum continuous downtime of the unit k respectively;
the generator active force constraint is expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,and->Representing the allowable maximum and minimum active output of generator k, respectively;
the generator climbing constraint is expressed as:
the upper and lower rotational back-up constraints are expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,representing an upper rotation reserve constraint of a system of a t-th period in a scene s; />Representing a lower rotation reserve constraint of a system of a t-th period in a scene s;
the node power constraint is expressed as:
wherein pi g (i) A set of generators representing access nodes i; pi w (i) A set of wind farms representing access nodes i; pi bf (i) Representing a branch set taking a node i as a starting node; pi bt (i) Representing a branch set taking a node i as a termination node;in a scene s, the active output prediction of a wind farm k in a period t is represented; />Representing the active power flow of branch l in period t in scene s; />Representing the active load of node i in a period t in scene s;
the branch tidal current upper and lower limit constraints are expressed as:
wherein P is l BMax Indicating the maximum active power allowed by branch l to transmit, gamma s,l Representing the running state of the line l in the scene s, 0-1 variable, in the scene s, if the branch l is put into operationRow is 1, otherwise 0;
the branch tidal current constraint is expressed as:
where M is a sufficiently large number for modeling;representing reactance of branch l, gamma s,l Representing the running state of the line l in the scene s, wherein the variable is 0-1, and in the scene s, if the branch l is put into operation, the running state is 1, otherwise, the running state is 0;
θ s,i,t representing nodes in scene s i Phase angle at time period t; θ s,j,t Representing the phase angle of a node j in a period t in a scene s;
the node phase angle constraint is expressed as:
-θ max ≤θ s,i,t ≤θ max ；
wherein θ max Representing the maximum allowed phase angle of the node;
the reference node phase angle constraint is expressed as:
θ ref,s,t ＝0；
the cut load constraint is expressed as:
the rejection of renewable energy constraints is expressed as:
7. an apparatus for carrying out the grid planning method based on unit combination and network configuration optimization of claim 1, comprising:
planning scheme making module: the method comprises the steps of acquiring a power grid historical database and establishing a line planning scheme;
and a power grid planning module: the method is used for establishing an optimized objective function based on a line planning scheme, and solving an optimal solution for the objective function to obtain an optimal power grid plan.
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