A medium- and long-term electricity safety verification method and system

Abstract

The present invention provides a medium- and long-term electricity safety verification method and system, including: Step 1: Constructing a coupling relationship between various entities based on collected basic data; Step 2: Based on the coupling relationship between various entities, respectively calculating the electricity margin of each entity, and using the electricity margin of each entity as the corresponding electricity bucket of each entity; Step 3: Based on the coupling relationship between various entities, allocating the electricity plan to be verified to the corresponding electricity bucket of each entity; Step 4: Comparing the electricity bucket of each entity with the electricity plan, respectively, to determine whether any entity's electricity plan exceeds the electricity bucket: if so, proceed to Step 5; otherwise, end; Step 5: Adjust the electricity plan and proceed to Step 3. This method and system simplifies the complex medium- and long-term electricity verification problem into a process of calculating and decomposing the electricity margin of electricity-related entities, that is, an intuitive process of calculating "buckets" and filling "buckets", which is easy for operators to understand and apply, and also facilitates a quantitative explanation of electricity adjustment for society.

Description

Technical Field

[0001] The present invention belongs to the technical field of power system dispatching plans, and in particular relates to a medium- and long-term electricity quantity safety verification method and system. Background Art

[0002] In power system scheduling, short-term generation planning methods based on safety-constrained scheduling are widely used in power dispatching and control centers. Short-term generation planning and safety verification do not involve complex power decomposition, have clear physical boundaries, and provide highly accurate forecast data. However, applying short-term safety verification methods to medium- and long-term safety verification can introduce significant deviations, rendering the verification meaningless.

[0003] With the rapid advancement of electricity market reforms, the scale of electricity traded in the market continues to expand, and the feasible space for power grid generation plans is becoming increasingly limited year by year. With medium- and long-term market trading volumes gradually replacing annual planned volumes, how to conduct safety verification of electricity volumes on a medium- and long-term scale and ensure the safety and scientific nature of electricity trading is a challenge that must be addressed and resolved. Currently, power grid safety verification is limited to flow calculations and safety analysis of future operating sections within the day-ahead and intraday ranges of the grid, focusing primarily on electricity, and does not address medium- and long-term power safety verification. Summary of the Invention

[0004] To overcome the deficiencies of the above-mentioned prior art, the present invention, through sufficient field research and based on actual needs, proposes a medium- and long-term electricity safety verification method and system. Based on the technical foundation of safety-constrained unit combinations, the present invention calculates the electricity margin of the electricity-related entities (units, groups of units, branches, sections, and the entire network) in the future power grid on a medium- and long-term scale. This electricity margin is called an electricity "bucket." The electricity of each entity is then bucketed and verified. If the electricity exceeds the limit, the limit bucket is located, the cause of the limit is analyzed, and an electricity adjustment strategy is proposed to guide the smooth development of market transactions and ensure the safe and stable operation of the power grid.

[0005] The solutions adopted to achieve the above objectives are:

[0006] A medium- and long-term electricity safety verification method, the improvement of which includes:

[0007] Step 1: Construct the coupling relationship between each subject based on the collected basic data;

[0008] Step 2: Based on the coupling relationship between the entities, the power margin of each entity is calculated respectively, and the power margin of each entity is used as the corresponding power bucket of each entity;

[0009] Step 3: Based on the coupling relationship between the entities, the power plan to be verified is allocated to the power bucket corresponding to each entity;

[0010] Step 4: Compare the energy bucket and energy plan of each subject to determine whether any subject's energy plan exceeds the energy bucket: If so, go to step 5; otherwise, end;

[0011] Step 5: Adjust the power plan and go to step 3;

[0012] The main body includes: units, unit groups, branches, sections and the entire network;

[0013] The basic data includes power grid model, tie line plan, section information, unit information, medium- and long-term power grid change information, load forecast information, and power plan to be verified.

[0014] The first preferred technical solution provided by the present invention is improved in that the adjusting the electricity plan includes:

[0015] Based on the energy plan and energy buckets being compared, the over-limit position is determined.

[0016] Obtaining an electricity plan adjustment plan and adjusting the electricity plan according to the adjustment target, the adjustable units whose sensitivity exceeds the threshold, and the over-limit positioning result;

[0017] The adjustment targets include: minimizing the power adjustment amount, minimizing the adjustment cost, or minimizing the comprehensive over-limit.

[0018] The second preferred technical solution provided by the present invention is improved in that the over-limit positioning is performed based on the compared power plan and power bucket, including:

[0019] Locate the entity that exceeds the limit based on the compared power plans and the entities to which the power buckets belong;

[0020] According to the power verification plan, locate the time and reason of exceeding the limit.

[0021] The third preferred technical solution provided by the present invention is improved in that the coupling relationship between the subjects is established based on the collected basic data, including:

[0022] Construct the grid topology at the time of mid- to long-term margin assessment based on the collected basic data;

[0023] According to the power grid topology model at the mid- to long-term evaluation moment, a coupling relationship between the various entities is established.

[0024] The fourth preferred technical solution provided by the present invention is improved in that the coupling relationship between the entities is constructed based on the power grid topology model at the mid- to long-term evaluation time, including:

[0025] According to the power grid topology, the relationship matrices between units, between groups of units and units, between branches and units, and between sections and units are calculated respectively;

[0026] The coupling relationship between the subjects is represented based on the relationship matrix.

[0027] The fifth preferred technical solution provided by the present invention is improved in that the power coupling relationship is as shown in the following formula:

[0028] Y=KX

[0029] Where Y represents the power of the unit group, branch, section or the entire network, X represents the power of the unit, K represents the coupling relationship matrix between Y and X, and K is calculated based on the power grid topology analysis model at the time of medium- and long-term evaluation.

[0030] The sixth preferred technical solution provided by the present invention is improved in that the calculation of the power margin of each subject based on the coupling relationship between the subjects includes:

[0031] Taking into account the grid constraints and power supply constraints, based on the safety-constrained unit combination, combined with the coupling relationship between each subject, and based on the obtained basic grid data, the power margin of the medium- and long-term power-related subjects is calculated separately.

[0032] The seventh preferred technical solution provided by the present invention is improved in that the establishment of the grid constraint includes:

[0033] Obtain basic power grid data;

[0034] establishing power grid constraints based on the basic data;

[0035] The power grid constraints include: unit power constraints, unit group power constraints, branch power constraints and section power constraints.

[0036] A medium- and long-term electricity safety verification system is improved in that it includes: a coupling relationship module, an electricity bucket module, a plan allocation module, a comparison module, and an adjustment module;

[0037] The coupling relationship module is used to establish the coupling relationship between the subjects based on the collected basic data;

[0038] The power bucket module is used to calculate the power margin of each subject based on the coupling relationship between the subjects, and use the power margin of each subject as the corresponding power bucket of each subject;

[0039] The plan allocation module is used to allocate the power plan to be verified to the power bucket corresponding to each subject based on the coupling relationship between the subjects;

[0040] The comparison module is used to compare the power bucket and power plan of each subject respectively, and determine whether any subject's power plan exceeds the power bucket: if so, call the adjustment module; otherwise, end;

[0041] The adjustment module is used to adjust the power plan and call the plan allocation module;

[0042] The main body includes: units, unit groups, branches, sections and the entire network;

[0043] The basic data includes power grid model, tie line plan, section information, unit information, medium- and long-term power grid change information, load forecast information, and power plan to be verified.

[0044] The eighth preferred technical solution provided by the present invention is improved in that the adjustment module includes: an over-limit positioning unit and an adjustment unit;

[0045] The over-limit positioning unit is used to perform over-limit positioning according to the compared power plan and power bucket;

[0046] The adjustment unit is configured to obtain an electricity plan adjustment plan and adjust the electricity plan based on the adjustment target, the adjustable units with sensitivities exceeding a threshold, and the over-limit positioning result;

[0047] The adjustment targets include: minimizing the power adjustment amount, minimizing the adjustment cost, or minimizing the comprehensive over-limit.

[0048] Compared with the closest prior art, the present invention has the following beneficial effects:

[0049] This application calculates the power margin of each subject based on the coupling relationship between each subject, and uses the power margin of each subject as the corresponding power bucket of each subject; based on the coupling relationship between the subjects, the power plan to be verified is allocated to the corresponding power bucket of each subject; the power bucket of each subject is compared with the power plan, and it is determined whether any subject's power plan exceeds the power bucket: if so, the power plan is adjusted and reallocated, otherwise it ends. Technically, the complex medium- and long-term power verification problem is simplified to the power margin calculation and decomposition process of power-related subjects, that is, the intuitive process of calculating "buckets" and filling "buckets", which is easy for operators to understand and apply, and also convenient for quantitative explanation of power adjustment in society.

[0050] In practical applications, the location of the cause of over-limit and reasonable adjustment are transformed into analysis and adjustment after the "bucket" exceeds the limit. The electricity "bucket" theory has preliminarily verified its rationality and practicality. Through electricity safety verification, it can quantitatively evaluate the problems that the electricity of the generator set may bring to the grid operation, such as overload and over-limit, and can provide the location and adjustment plan after the limit is exceeded, which helps dispatchers to grasp the remaining space of the grid and the safe operation boundary and other information. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 A schematic flow chart of a medium- and long-term electricity safety verification method provided by the present invention;

[0052] Figure 2 A schematic diagram of an embodiment of a medium- and long-term electricity safety verification method provided by the present invention;

[0053] Figure 3 A schematic diagram of the basic structure of a medium- and long-term electricity safety verification system provided by the present invention;

[0054] Figure 4 This is a detailed structural diagram of a medium- and long-term electricity safety verification system provided by the present invention. DETAILED DESCRIPTION

[0055] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0056] Example 1:

[0057] The flow chart of a medium- and long-term power safety verification method provided by the present invention is as follows: Figure 1 As shown, including:

[0058] Step 1: Construct the coupling relationship between each subject based on the collected basic data;

[0059] Step 2: Based on the coupling relationship between each subject, calculate the power margin of each subject respectively, and use the power margin of each subject as the corresponding power bucket of each subject;

[0060] Step 3: Based on the coupling relationship between the entities, the power plan to be verified is allocated to the corresponding power bucket of each entity;

[0061] Step 4: Compare the energy bucket and energy plan of each subject to determine whether any subject's energy plan exceeds the energy bucket: If so, go to step 5; otherwise, end;

[0062] Step 5: Adjust the power plan and go to step 3;

[0063] The main bodies include: units, unit groups, branches, sections and the entire network;

[0064] Basic data include power grid model, interconnection line plan, section information, unit information, medium- and long-term power grid change information, load forecast information, and power plan to be verified.

[0065] Specifically, a medium- and long-term power safety verification method is as follows: Figure 2 As shown, including:

[0066] Step 101: Prepare basic data.

[0067] Obtain and prepare various basic data related to the power grid through the dispatching and control organization, such as power grid model, interconnection line plan, section information, unit information, medium- and long-term power grid change information, load forecast information, and power plan to be verified.

[0068] Step 102: Boundary condition processing.

[0069] Data is integrated and various grid constraints are formed based on the basic data, such as unit power constraints, unit group power constraints, branch power constraints, and section power constraints as boundary conditions. This also generates a future-state grid topology analysis model, which is the grid topology analysis model for the mid- to long-term assessment period.

[0070] Step 103: Establish the power coupling relationship of each subject.

[0071] The entities related to power include: units, unit groups, branches, sections and the entire network. The opening and closing of units affects the changes in the power flow of unit groups, branches and sections. The coupling relationship matrix of unit groups, branches, sections, the entire network and unit output can be established, that is:

[0072] Y=KX (1)

[0073] Where Y represents the power of a group of generators, a branch, a section, or the entire network; X represents the power of the generator; and K represents the coupling matrix. When Y represents the power of a group of generators, K is 0 or 1, depending on the generator's status. When Y represents the power of a branch, a section, or the entire network, K is a number between -1 and 1, depending on the generator's status. This allows the generators, groups of generators, branches, sections, and the entire network to form an interconnected and interactive whole.

[0074] Step 104: Calculate the power margin of each main body.

[0075] Taking into account grid and power supply constraints, using safety-constrained unit commitment as the technical foundation and combining the power coupling relationships of various entities, the energy margins of energy-related entities in the medium- and long-term future power grid are calculated as corresponding energy buckets for each entity, namely, unit energy "buckets", unit group energy "buckets", branch energy "buckets", section energy "buckets", and the entire network energy "buckets". The energy-related entities include: units, unit groups, branches, sections, and the entire network.

[0076] P margin =f(c1,c2,...,c m ) (1)

[0077] Where, P margin Represents the constraint optimization function f(c1,c2,...,c m) The power margin of each power-related entity is calculated by the safety constraint unit combination technology. The subscript margin represents the margin, c1, c2, ..., c m Indicates the corresponding constraints. For example: when P margin It represents the power margin of the unit, then c1, c2, ..., c m Indicates the corresponding unit power constraint condition, and so on.

[0078] Step 105: Classify and bucket the electricity.

[0079] The electricity plan to be checked is decomposed into the various electricity components of the unit, unit group, branch, section and the entire network according to the coupling relationship between the unit, unit group, branch, section and the entire network, and then allocated to the corresponding unit bucket, unit group bucket, branch bucket, section bucket and entire network bucket according to the corresponding relationship to complete the electricity classification and bucketing.

[0080] P={P u ,P ug ,P b ,P s ,P n} (2)

[0081] Where, P represents the power plan to be checked, P u 、P ug 、P b 、P s and P n They respectively represent the unit power, unit group power, branch power, section power and whole network power obtained by classification calculation of the power plan P to be verified. The subscripts u, ug, b, s and n represent the unit, unit group, branch, section and whole network respectively.

[0082] Step 106: Check the power “bucket”.

[0083] Energy bucket verification determines whether any energy items exceed their limits. If no energy item exceeds its limit after verification, indicating that no item's planned energy exceeds its margin, verification of the planned energy items ends. If any item exceeds its limit, the offending energy bucket is located and processed.

[0084] Step 107: Off-limit positioning.

[0085] If a bucket check reveals an energy limit violation, the out-of-limit bucket type (i.e., the entity responsible for the violation) can be identified based on the verified energy entity. The time and cause of the violation can be determined based on the time and transaction information associated with the verified energy plan. The cause of the violation is the specific transaction contract in the energy plan that caused the violation. Furthermore, based on basic grid data, the system identifies units with sensitivity exceeding a set threshold that can be adjusted for subsequent adjustments.

[0086] Step 108: Over-limit adjustment.

[0087] Based on objectives such as minimizing power adjustment, minimizing adjustment costs, or minimizing overall over-limit, a specific adjustment plan is developed to adjust the power plan, and the process proceeds to step 105. In the subsequent process, if no over-limit occurs, verification is completed. If an over-limit occurs, over-limit location and adjustments are continued until verification is complete.

[0088] Example 2:

[0089] Based on the same inventive concept, the present invention also provides a medium- and long-term electricity safety verification system. Since the principles of these devices in solving technical problems are similar to those of the medium- and long-term electricity safety verification method, the repeated parts will not be repeated.

[0090] The basic structure of the system is as follows Figure 3 As shown, including:

[0091] Coupling relationship module, power bucket module, plan allocation module, comparison module and adjustment module;

[0092] Among them, the coupling relationship module is used to build the coupling relationship between each subject based on the collected basic data;

[0093] The energy bucket module is used to calculate the energy margin of each subject based on the coupling relationship between the subjects, and use the energy margin of each subject as the corresponding energy bucket of each subject;

[0094] The plan allocation module is used to allocate the power plan to be verified to the power bucket corresponding to each subject based on the coupling relationship between the subjects;

[0095] The comparison module is used to compare the energy bucket and energy plan of each subject respectively, and determine whether any subject's energy plan exceeds the energy bucket: if so, call the adjustment module; otherwise, end;

[0096] Adjustment module, used to adjust the power plan and call the plan allocation module;

[0097] The main bodies include: units, unit groups, branches, sections and the entire network;

[0098] Basic data include power grid model, interconnection line plan, section information, unit information, medium- and long-term power grid change information, load forecast information, and power plan to be verified.

[0099] The detailed structure of the medium and long term power safety verification system is as follows: Figure 4 shown.

[0100] The adjustment module includes: an over-limit positioning unit and an adjustment unit;

[0101] An out-of-limit positioning unit is used to perform out-of-limit positioning based on the power plan and power bucket to be compared;

[0102] An adjustment unit is used to obtain an electricity plan adjustment plan and adjust the electricity plan based on the adjustment target, the adjustable units with sensitivity exceeding the threshold, and the over-limit positioning result;

[0103] Among them, the adjustment targets include: minimum power adjustment amount, minimum adjustment cost or minimum comprehensive over-limit.

[0104] Wherein, the over-limit positioning unit includes a subject positioning subunit and a time reason positioning subunit;

[0105] The subject positioning subunit is used to locate the subject that exceeds the limit based on the compared power plan and the subject to which the power bucket belongs;

[0106] The time reason positioning subunit is used to locate the limit-exceeding time and limit-exceeding reason according to the power verification plan.

[0107] Wherein, the coupling relationship module includes a relationship matrix unit and a coupling relationship unit;

[0108] The relationship matrix unit is used to calculate the relationship matrix between units, between groups of units and units, between branches and units, and between sections and units according to the power grid topology;

[0109] The coupling relationship unit is used to represent the coupling relationship between various entities based on the relationship matrix.

[0110] Among them, the medium- and long-term power safety verification system also includes a power grid constraint module;

[0111] The power grid constraint module is used to establish power grid constraints based on the acquired basic power grid data;

[0112] Grid constraints include: unit power constraints, unit group power constraints, branch power constraints and section power constraints.

[0113] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0114] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0115] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0116] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0117] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and are not intended to limit its scope of protection. Although the present application has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that after reading this application, those skilled in the art may still make various changes, modifications or equivalent substitutions to the specific implementation methods of the application, but these changes, modifications or equivalent substitutions are all within the scope of protection of the pending claims of the application.

Claims

1. A medium- and long-term electricity safety verification method, characterized in that: include: Step 1: Construct the coupling relationship between each subject based on the collected basic data; Step 2: Based on the coupling relationship between the entities, the power margin of each entity is calculated respectively, and the power margin of each entity is used as the corresponding power bucket of each entity; Step 3: Based on the coupling relationship between the entities, the power plan to be verified is allocated to the power bucket corresponding to each entity; Step 4: Compare the energy bucket and energy plan of each subject to determine whether any subject's energy plan exceeds the energy bucket. If so, proceed to step 5. Otherwise, it ends; Step 5: Adjust the power plan and go to step 3; The main body includes: units, unit groups, branches, sections and the entire network; The basic data includes power grid model, tie line plan, section information, unit information, medium and long-term power grid change information, load forecast information and power plan to be verified; The adjusting the power plan includes: Based on the energy plan and energy buckets being compared, the over-limit position is determined. Obtaining an electricity plan adjustment plan and adjusting the electricity plan according to the adjustment target, the adjustable units whose sensitivity exceeds the threshold, and the over-limit positioning result; The adjustment objectives include: minimum power adjustment amount, minimum adjustment cost or minimum comprehensive over-limit; The over-limit positioning is performed based on the compared energy plan and energy bucket, including: Locate the entity that exceeds the limit based on the compared power plans and the entities to which the power buckets belong; According to the power verification plan, locate the time and reason of exceeding the limit; The step of establishing a coupling relationship between entities based on the collected basic data includes: Construct a power grid topology analysis model for mid- to long-term evaluation based on the collected basic data; Constructing coupling relationships between various entities based on the power grid topology analysis model at the mid- to long-term evaluation moment; The coupling relationship between the entities is established based on the power grid topology analysis model at the mid- to long-term evaluation time, including: According to the power grid topology analysis model, the relationship matrices between units, between groups of units and units, between branches and units, and between sections and units are calculated respectively; Representing the coupling relationship between the subjects based on the relationship matrix; The power coupling relationship is shown in the following formula: Y=KX Where Y represents the power of the unit group, branch, section or the entire network, X represents the power of the unit, K represents the coupling relationship matrix between Y and X, and K is calculated based on the power grid topology analysis model at the time of medium- and long-term evaluation.

2. The method according to claim 1, wherein The calculating the power margin of each subject based on the coupling relationship between the subjects includes: Taking into account the grid constraints and power supply constraints, based on the safety-constrained unit combination, combined with the coupling relationship between each subject, and based on the obtained basic grid data, the power margin of the medium- and long-term power-related subjects is calculated separately.

3. The method according to claim 2, wherein The establishment of the grid constraints includes: Obtain basic power grid data; establishing power grid constraints based on the basic data; The power grid constraints include: unit power constraints, unit group power constraints, branch power constraints and section power constraints.

4. A medium- and long-term electricity safety verification system, characterized in that: include: Coupling relationship module, power bucket module, plan allocation module, comparison module and adjustment module; The coupling relationship module is used to establish the coupling relationship between the subjects based on the collected basic data; The power bucket module is configured to calculate the power margin of each subject based on the coupling relationship between the subjects, and use the power margin of each subject as the corresponding power bucket of each subject; The plan allocation module is used to allocate the power plan to be verified to the power bucket corresponding to each subject based on the coupling relationship between the subjects; The comparison module is used to compare the power bucket and power plan of each subject respectively, and determine whether any subject's power plan exceeds the power bucket; if so, call the adjustment module; Otherwise, it ends; The adjustment module is used to adjust the power plan and call the plan allocation module; The main body includes: units, unit groups, branches, sections and the entire network; The basic data includes power grid model, tie line plan, section information, unit information, medium and long-term power grid change information, load forecast information and power plan to be verified; The adjustment module includes: an over-limit positioning unit and an adjustment unit; The over-limit positioning unit is used to perform over-limit positioning according to the compared power plan and power bucket; The adjustment unit is configured to obtain an electricity plan adjustment plan and adjust the electricity plan based on the adjustment target, the adjustable units with sensitivities exceeding a threshold, and the over-limit positioning result; The adjustment objectives include: minimum power adjustment amount, minimum adjustment cost or minimum comprehensive over-limit; Wherein, the over-limit positioning unit includes a subject positioning subunit and a time reason positioning subunit; The subject positioning subunit is used to locate the subject that exceeds the limit based on the compared power plan and the subject to which the power bucket belongs; The time cause positioning subunit is used to locate the limit-exceeding time and limit-exceeding cause according to the power verification plan; Wherein, the coupling relationship module includes a relationship matrix unit and a coupling relationship unit; The relationship matrix unit is used to calculate the relationship matrix between units, between groups of units and units, between branches and units, and between sections and units according to the power grid topology analysis model; A coupling relationship unit, used to represent the coupling relationship between various entities based on a relationship matrix; The power coupling relationship is shown in the following formula: Y=KX Where Y represents the power of the unit group, branch, section or the entire network, X represents the power of the unit, K represents the coupling relationship matrix between Y and X, and K is calculated based on the power grid topology analysis model at the time of medium- and long-term evaluation.

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