Evaluation optimization method and system for power system maintenance plan

Abstract

The invention discloses an evaluation optimization method and system for an electric power system maintenance plan, and belongs to the technical field of electric power system operation and maintenance and new energy management. The method comprises the following steps: establishing a new energy optimal consumption-based power system maintenance plan evaluation scheme according to a new energy consumption capability; according to the power system maintenance plan evaluation scheme, evaluating a to-be-evaluated power system maintenance plan to obtain an optimization suggestion scheme for the to-be-evaluated power system maintenance plan; and according to the optimization suggestion scheme, optimizing the to-be-evaluated power system maintenance plan to obtain an optimized power system maintenance plan. According to the method provided by the invention, evaluation optimization is carried out based on the optimal consumption of the new energy, so that the maintenance plan can be ensured to meet the safety and reliability requirements of the system, and the new energy consumption capability of the system can be maximized.

Description

Technical Field

[0001] The present invention relates to the technical field of power system operation and maintenance and new energy management, and more specifically, to an evaluation and optimization method and system for power system maintenance plan. Background Art

[0002] By the end of 2023, my country's installed capacity of new energy has exceeded 1.05 billion kilowatts, accounting for 36% of the total installed capacity. It is estimated that in 2024, 270 million new energy installed capacity will be added, accounting for 40% of the total installed capacity. The expected utilization rate of new energy is less than 95%, and the situation of new energy consumption is severe. The rapid development of new energy has also brought a series of challenges, especially in terms of the power system's consumption capacity. New energy power generation is intermittent and unstable, which has brought considerable pressure to the dispatch and operation of the power system.

[0003] The maintenance plan of the power system is crucial to ensure the safe and stable operation of the system. Power system maintenance is an important measure to ensure the stable operation of the power grid and the safety of equipment, but it may also have a certain impact on the consumption of new energy. During the maintenance period, some new energy power generation facilities may need to be temporarily shut down, which will reduce the supply of renewable energy in the power grid and increase the risk of new energy abandonment. In addition, the maintenance work may affect the transmission capacity of the power grid, especially for those areas that rely on specific transmission lines to output new energy. The transmission interruption during the maintenance period may cause the new energy to be unable to be smoothly transmitted to the demand area, further exacerbating the consumption problem. Traditional maintenance plans are often based on the model of regular maintenance, and fail to fully consider the characteristics and consumption needs of new energy, resulting in non-optimization of resource allocation and system operation efficiency. Against the background of the increasing proportion of new energy power generation, the maintenance plan of the power system needs to be more flexible and intelligent to adapt to the volatility and uncertainty of new energy.

[0004] At present, some research has been carried out in the field of power system maintenance plan optimization at home and abroad. For example, some studies have proposed maintenance strategies based on conditional maintenance, which formulate maintenance plans according to the operating status and failure probability of equipment. Some other studies use prediction technologies, such as machine learning, to predict renewable energy generation and load demand to optimize maintenance plans. However, most of these studies have failed to fully consider the needs of optimal consumption of renewable energy, and still face many challenges in practical applications. Summary of the invention

[0005] In view of the above problems, the present invention proposes an evaluation and optimization method for power system maintenance plan, comprising:

[0006] According to the new energy consumption capacity, establish an evaluation plan for power system maintenance plan based on the optimal consumption of new energy;

[0007] According to the power system maintenance plan evaluation scheme, the power system maintenance plan to be evaluated is evaluated to obtain an optimization suggestion scheme for the power system maintenance plan to be evaluated;

[0008] According to the optimization suggestion scheme, the power system maintenance plan to be evaluated is optimized to obtain an optimized power system maintenance plan.

[0009] Optionally, based on the new energy consumption capacity, establish an evaluation plan for the power system maintenance plan for optimal new energy consumption, including:

[0010] Determine the power system's ability to absorb raw renewable energy;

[0011] Determine the calculation boundary corresponding to the power system maintenance plan to be evaluated;

[0012] Based on the calculation boundary, determining the impact of the power system maintenance plan to be evaluated on the new energy consumption;

[0013] According to the impact results, with the goal of optimizing the consumption of new energy, the optimal maintenance window period of the power system maintenance plan to be evaluated is optimized, and the optimization result is obtained;

[0014] An optimization suggestion plan is generated according to the optimization result.

[0015] Optionally, determine the power system's original renewable energy absorption capacity, including:

[0016] According to the boundary conditions of the power grid when no maintenance is scheduled, based on the time-series production simulation method and with the goal of maximizing the absorption of new energy, the power grid's absorption capacity for the original new energy of the power system is calculated.

[0017] Optionally, determining a calculation boundary corresponding to the power system maintenance plan to be evaluated includes:

[0018] Define the maintenance scope, and determine the equipment or lines to be repaired within the maintenance scope, and determine the optional maintenance time window based on the operating status of the equipment or lines to be repaired and the operation plan of the power grid, so as to generate the calculation boundary corresponding to the power system maintenance plan to be evaluated.

[0019] Optionally, the equipment or line to be repaired corresponds to power supply maintenance or line maintenance;

[0020] The power supply maintenance includes: power generation equipment maintenance and energy storage and regulation equipment maintenance;

[0021] The line maintenance includes: transformer or transmission line maintenance.

[0022] Optionally, based on the calculation boundary, determining the impact of the power system maintenance plan to be evaluated on the new energy consumption includes:

[0023] The calculation boundary is modified according to the object to be overhauled and the maintenance time, and based on the time series production simulation method, with the maximum target of new energy consumption, the power system maintenance plan to be evaluated after the modified calculation boundary is calculated, and the new energy consumption capacity of the power system is compared with the original new energy consumption capacity to obtain the comparison result, and the influence of the power system maintenance plan to be evaluated on the new energy consumption and system regulation capacity of the power system is determined according to the comparison result.

[0024] Optional, impact results include: impact of wind and solar power abandonment risk, impact of system reserve margin and impact of charging and discharging scheduling of energy storage equipment.

[0025] Optionally, based on the impact result, with the goal of optimizing the consumption of new energy, the optimal maintenance window period of the power system maintenance plan to be evaluated is optimized, and the optimization result is obtained, including:

[0026] According to the impact results, an optimization model is established with the goal of optimizing the consumption of new energy. The optimization model is used to optimize the optimal maintenance window period of the power system maintenance plan to be evaluated, and the optimization result is obtained.

[0027] Optionally, the optimization model includes: an objective function and constraints of the objective function;

[0028] The objective function takes the maximum acceptance of new energy within the optimization period as the optimization goal;

[0029] The constraints include:

[0030] System operation constraints, maintenance constraints and system adequacy constraints;

[0031] The system operation constraints include:

[0032] Regional load balance constraints, regional reserve constraints, inter-regional line / section transmission capacity constraints, conventional unit output constraints, unit optimized power ramp rate constraints, generator unit power generation constraints, new energy output constraints and energy storage operation constraints;

[0033] The maintenance constraints include:

[0034] Maintenance status and maintenance duration constraints, power supply maintenance constraints, line maintenance constraints, and maintenance quantity constraints;

[0035] The system adequacy constraints include:

[0036] Regional power supply constraints and new energy utilization constraints.

[0037] Optional optimization suggestions include:

[0038] The time, sequence and scope of maintenance of the equipment or lines to be repaired; and

[0039] The benefits, risks and countermeasures of the risks corresponding to the optimization proposal.

[0040] In another aspect, the present invention further provides an evaluation and optimization system for a power system maintenance plan, comprising:

[0041] The initial unit is used to establish an evaluation scheme for the maintenance plan of the power system based on the optimal consumption of new energy according to the consumption capacity of new energy;

[0042] An evaluation unit, configured to evaluate the power system maintenance plan to be evaluated according to the power system maintenance plan evaluation scheme, and obtain an optimization suggestion scheme for the power system maintenance plan to be evaluated;

[0043] The optimization unit is used to optimize the power system maintenance plan to be evaluated according to the optimization suggestion scheme to obtain an optimized power system maintenance plan.

[0044] Optionally, based on the new energy consumption capacity, establish an evaluation plan for the power system maintenance plan for optimal new energy consumption, including:

[0045] Determine the power system's ability to absorb raw renewable energy;

[0046] Determine the calculation boundary corresponding to the power system maintenance plan to be evaluated;

[0047] Based on the calculation boundary, determining the impact of the power system maintenance plan to be evaluated on the new energy consumption;

[0048] According to the impact results, with the goal of optimizing the consumption of new energy, the optimal maintenance window period of the power system maintenance plan to be evaluated is optimized, and the optimization result is obtained;

[0049] An optimization suggestion plan is generated according to the optimization result.

[0050] Optionally, determine the power system's original renewable energy absorption capacity, including:

[0051] According to the boundary conditions of the power grid when no maintenance is scheduled, based on the time-series production simulation method and with the goal of maximizing the absorption of new energy, the power grid's absorption capacity for the original new energy of the power system is calculated.

[0052] Optionally, determining a calculation boundary corresponding to the power system maintenance plan to be evaluated includes:

[0053] Define the maintenance scope, and determine the equipment or lines to be repaired within the maintenance scope, and determine the optional maintenance time window based on the operating status of the equipment or lines to be repaired and the operation plan of the power grid, so as to generate the calculation boundary corresponding to the power system maintenance plan to be evaluated.

[0054] Optionally, the equipment or line to be repaired corresponds to power supply maintenance or line maintenance;

[0055] The power supply maintenance includes: power generation equipment maintenance and energy storage and regulation equipment maintenance;

[0056] The line maintenance includes: transformer or transmission line maintenance.

[0057] Optionally, based on the calculation boundary, determining the impact of the power system maintenance plan to be evaluated on the new energy consumption includes:

[0058] The calculation boundary is modified according to the object to be overhauled and the maintenance time, and based on the time series production simulation method, with the maximum target of new energy consumption, the power system maintenance plan to be evaluated after the modified calculation boundary is calculated, and the new energy consumption capacity of the power system is compared with the original new energy consumption capacity to obtain the comparison result, and the influence of the power system maintenance plan to be evaluated on the new energy consumption and system regulation capacity of the power system is determined according to the comparison result.

[0059] Optional, impact results include: impact of wind and solar power abandonment risk, impact of system reserve margin and impact of charging and discharging scheduling of energy storage equipment.

[0060] Optionally, based on the impact result, with the goal of optimizing the consumption of new energy, the optimal maintenance window period of the power system maintenance plan to be evaluated is optimized, and the optimization result is obtained, including:

[0061] According to the impact results, an optimization model is established with the goal of optimizing the consumption of new energy. The optimization model is used to optimize the optimal maintenance window period of the power system maintenance plan to be evaluated, and the optimization result is obtained.

[0062] Optionally, the optimization model includes: an objective function and constraints of the objective function;

[0063] The objective function takes the maximum acceptance of new energy within the optimization period as the optimization goal;

[0064] The constraints include:

[0065] System operation constraints, maintenance constraints and system adequacy constraints;

[0066] The system operation constraints include:

[0067] Regional load balance constraints, regional reserve constraints, inter-regional line / section transmission capacity constraints, conventional unit output constraints, unit optimized power ramp rate constraints, generator unit power generation constraints, new energy output constraints and energy storage operation constraints;

[0068] The maintenance constraints include:

[0069] Maintenance status and maintenance duration constraints, power supply maintenance constraints, line maintenance constraints, and maintenance quantity constraints;

[0070] The system adequacy constraints include:

[0071] Regional power supply constraints and new energy utilization constraints.

[0072] Optional optimization suggestions include:

[0073] The time, sequence and scope of maintenance of the equipment or lines to be repaired; and

[0074] The benefits, risks and countermeasures of the proposed optimization plan.

[0075] In yet another aspect, the present invention further provides a computing device, comprising: one or more processors;

[0076] a processor for executing one or more programs;

[0077] When the one or more programs are executed by the one or more processors, the above-described method is implemented.

[0078] In yet another aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed, the method described above is implemented.

[0079] Compared with the prior art, the present invention has the following beneficial effects:

[0080] The present invention provides an evaluation and optimization method for power system maintenance plans, including: establishing a power system maintenance plan evaluation scheme based on optimal consumption of new energy according to the consumption capacity of new energy; evaluating the power system maintenance plan to be evaluated according to the power system maintenance plan evaluation scheme, and obtaining an optimization suggestion scheme for the power system maintenance plan to be evaluated; optimizing the power system maintenance plan to be evaluated according to the optimization suggestion scheme, and obtaining an optimized power system maintenance plan. The present invention proposes a method for evaluating and optimizing based on optimal consumption of new energy, which can not only ensure that the maintenance plan meets the safety and reliability requirements of the system, but also maximize the new energy consumption capacity of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0081] Figure 1 is a flow chart of the method of the present invention;

[0082] Figure 2 It is a structural diagram of the system of the present invention. DETAILED DESCRIPTION

[0083] Now, exemplary embodiments of the present invention are described with reference to the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely and to fully convey the scope of the present invention to those skilled in the art. The terms used in the exemplary embodiments shown in the accompanying drawings are not intended to limit the present invention. In the accompanying drawings, the same units / elements are marked with the same reference numerals.

[0084] Unless otherwise specified, the terms (including technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it is understood that the terms defined in commonly used dictionaries should be understood to have the same meanings as those in the context of the relevant fields, and should not be understood as idealized or overly formal meanings.

[0085] Embodiment 1:

[0086] The present invention proposes an evaluation and optimization method for power system maintenance plan, such as Figure 1 As shown, including:

[0087] Step 1: According to the new energy consumption capacity, establish a power system maintenance plan evaluation plan based on the optimal consumption of new energy;

[0088] Step 2: According to the power system maintenance plan evaluation scheme, the power system maintenance plan to be evaluated is evaluated to obtain an optimization suggestion scheme for the power system maintenance plan to be evaluated;

[0089] Step 3: According to the optimization proposal, the power system maintenance plan to be evaluated is optimized to obtain an optimized power system maintenance plan.

[0090] Among them, according to the new energy consumption capacity, the power system maintenance plan evaluation plan for the optimal consumption of new energy is established, including:

[0091] Determine the power system's ability to absorb raw renewable energy;

[0092] Determine the calculation boundary corresponding to the power system maintenance plan to be evaluated;

[0093] Based on the calculation boundary, determining the impact of the power system maintenance plan to be evaluated on the new energy consumption;

[0094] According to the impact results, with the goal of optimizing the consumption of new energy, the optimal maintenance window period of the power system maintenance plan to be evaluated is optimized, and the optimization result is obtained;

[0095] An optimization suggestion plan is generated according to the optimization result.

[0096] Among them, the determination of the original renewable energy absorption capacity of the power system includes:

[0097] According to the boundary conditions of the power grid when no maintenance is scheduled, based on the time-series production simulation method and with the goal of maximizing the absorption of new energy, the power grid's absorption capacity for the original new energy of the power system is calculated.

[0098] Among them, determining the calculation boundary corresponding to the power system maintenance plan to be evaluated includes:

[0099] Define the maintenance scope, and determine the equipment or lines to be repaired within the maintenance scope, and determine the optional maintenance time window based on the operating status of the equipment or lines to be repaired and the operation plan of the power grid, so as to generate the calculation boundary corresponding to the power system maintenance plan to be evaluated.

[0100] Among them, the equipment or line to be repaired corresponds to power supply maintenance or line maintenance;

[0101] The power supply maintenance includes: power generation equipment maintenance and energy storage and regulation equipment maintenance;

[0102] The line maintenance includes: transformer or transmission line maintenance.

[0103] Wherein, based on the calculation boundary, determining the impact of the power system maintenance plan to be evaluated on the new energy consumption includes:

[0104] The calculation boundary is modified according to the object to be overhauled and the maintenance time, and based on the time series production simulation method, with the maximum target of new energy consumption, the power system maintenance plan to be evaluated after the modified calculation boundary is calculated, and the new energy consumption capacity of the power system is compared with the original new energy consumption capacity to obtain the comparison result, and the influence of the power system maintenance plan to be evaluated on the new energy consumption and system regulation capacity of the power system is determined according to the comparison result.

[0105] Among them, the impact results include: the impact of wind and solar power abandonment risks, the impact of system reserve margin and the impact of charging and discharging scheduling of energy storage equipment.

[0106] According to the impact results, with the goal of optimizing the consumption of new energy, the optimal maintenance window period of the power system maintenance plan to be evaluated is optimized, and the optimization results are obtained, including:

[0107] According to the impact results, an optimization model is established with the goal of optimizing the consumption of new energy. The optimization model is used to optimize the optimal maintenance window period of the power system maintenance plan to be evaluated, and the optimization result is obtained.

[0108] The optimization model includes: an objective function and constraints of the objective function;

[0109] The objective function takes the maximum acceptance of new energy within the optimization period as the optimization goal;

[0110] The constraints include:

[0111] System operation constraints, maintenance constraints and system adequacy constraints;

[0112] The system operation constraints include:

[0113] Regional load balance constraints, regional reserve constraints, inter-regional line / section transmission capacity constraints, conventional unit output constraints, unit optimized power ramp rate constraints, generator unit power generation constraints, new energy output constraints and energy storage operation constraints;

[0114] The maintenance constraints include:

[0115] Maintenance status and maintenance duration constraints, power supply maintenance constraints, line maintenance constraints, and maintenance quantity constraints;

[0116] The system adequacy constraints include:

[0117] Regional power supply constraints and new energy utilization constraints.

[0118] Among them, the optimization suggestions include:

[0119] The time, sequence and scope of maintenance of the equipment or lines to be repaired; and

[0120] The benefits, risks and countermeasures of the risks corresponding to the optimization proposal.

[0121] The present invention is further described below in conjunction with the implementation cases of the present invention:

[0122] Specific steps for implementing the case include:

[0123] (1) Establish a power system maintenance plan evaluation process that takes into account the optimal consumption of new energy sources, as follows:

[0124] Determine the original new energy consumption capacity, including:

[0125] Based on the time series production simulation method and the grid boundary conditions without scheduled maintenance, the original absorption capacity of the grid for renewable energy is calculated with the goal of maximizing the absorption of renewable energy.

[0126] Determine the calculation boundary corresponding to the maintenance plan to be evaluated including:

[0127] Define the maintenance scope, clarify which equipment or lines need maintenance, and determine the available maintenance time windows based on the operating status of the equipment and the operation plan of the power grid.

[0128] According to the nature of the maintenance object, maintenance is divided into power supply maintenance and line maintenance. Among them, power supply maintenance includes the maintenance of power generation equipment such as wind power, photovoltaic power, conventional power supply and regulating equipment such as energy storage, which mainly affects the power generation capacity of power supply and energy storage; line maintenance mainly includes the maintenance of transformers, transmission lines, etc., which mainly affects the transmission capacity of transmission lines and key sections.

[0129] Calculation of the impact of the maintenance plan to be evaluated on the consumption of new energy includes:

[0130] For a certain maintenance, the calculation boundary of the corresponding power grid is modified according to the maintenance object and maintenance time. Based on the time series production simulation method, the power grid's absorption capacity for new energy after the maintenance is calculated with the goal of maximizing the absorption of new energy. The absorption capacity of the power grid for new energy in (1) is compared to analyze the specific impact of the maintenance plan on the power grid's new energy absorption and system regulation capabilities, including possible risks of wind and solar power abandonment, system reserve margin, and charging and discharging scheduling of energy storage equipment.

[0131] The optimal maintenance window period for optimizing the optimal consumption of new energy includes:

[0132] Based on the time-series production simulation method, the synergy between the maintenance plan and the forecast of renewable energy generation is considered, and a maintenance window optimization model is established with the goal of maximizing renewable energy consumption. The optimization model needs to consider the maintenance object and maintenance duration constraints, as well as other constraints in the grid operation simulation. (The optimization model is shown in step 2)

[0133] Suggestions for optimizing maintenance plans include:

[0134] Based on the results of the maintenance window optimization, a detailed maintenance plan is formulated and specific suggestions for adjusting the maintenance plan are put forward, including the maintenance time, sequence and scope. The benefits and possible risks brought about by the implementation of the optimization suggestions are evaluated, such as the optimization of new energy power abandonment, the improvement of system regulation capacity, line congestion, section compression operation, etc., and corresponding response measures are proposed.

[0135] (2) Optimization method of power system maintenance plan considering the optimal consumption of new energy, including:

[0136] According to the new energy output forecast information, when arranging the maintenance plan in advance, the new energy power forecast and the unit maintenance constraints are integrated to achieve the coordinated optimization of wind, solar, water, fire and other power sources. By optimizing the unit operation and maintenance window period and reasonably arranging the maintenance plan, more space for the absorption of new energy can be reserved under the premise of ensuring system safety.

[0137] Establish the objective function: maximize the acceptance of new energy within the optimization period, as follows:

[0138]

[0139] Where N is the total number of aggregated power grids included in the system; n represents a certain aggregated power grid; T represents the total length of the dispatch time; t is the simulation time step; P w (t,n) is the wind power output of the aggregated grid n in time period t, P pv (t,n) is the photovoltaic power generation output of the aggregated grid n in time period t.

[0140] System operation constraints, including:

[0141] The regional load balancing constraints are as follows:

[0142]

[0143] Where P j (t,n) is the power generation capacity of the jth conventional unit in the aggregated grid n in the tth period, S j (t,n) is the startup state variable of the corresponding unit, is the total power of all conventional units in the aggregated grid nth period; P e (t,n) is the energy storage power of the aggregated grid n in the tth period, energy storage charging is a negative value, and energy storage discharging is a positive value; L i (t,n) is the transmission power of the i-th transmission line / section connected to the aggregated grid n in period t; D(t,n) is the load of the aggregated grid n in period t.

[0144] The regional reserve constraints are as follows:

[0145]

[0146] Where P j,on (t,n) is the operating capacity of the jth type of conventional unit in the tth period of the aggregated power grid n; R + (t,n) is the positive reserve of the aggregated grid n in the tth period.

[0147] The transmission capacity constraints of inter-regional lines / sections are as follows:

[0148] -L i,max ≤Li (t)≤L i,max (4)

[0149] Where, L i,max and -L i,max are the upper and lower limits of the transmission capacity of the i-th transmission line / section respectively; the reference direction of the current is set as follows: the inflow area is the positive direction, and the outflow area is the negative direction, so L i (t) can take positive or negative values, which represents the direction of power transfer.

[0150] The output constraints of conventional units are as follows:

[0151]

[0152] In the formula, ΔP j (t,n) is the optimized power size of the j-th conventional unit in the aggregated grid n in the t-th period.

[0153] The unit's optimized power ramp rate constraints are as follows:

[0154]

[0155] In the formula, ΔP j,up , ΔP j,down They are the ramp-up rate and ramp-down rate of the j-th conventional unit in the aggregated grid, respectively.

[0156] The power generation constraints of the generator sets are as follows:

[0157] Considering that hydropower units are limited by reservoir capacity, river flow, irrigation demand, etc., their power generation needs to be guaranteed within a certain range, so there are constraints as follows:

[0158]

[0159] In the formula, Q j,max and Q j,min are the upper and lower limits of power generation for the units with power generation constraints within time period T.

[0160] The output constraints of new energy are as follows:

[0161]

[0162] In the formula, is the available power of wind power in the aggregated grid at time t; is the available power of photovoltaic power generation in the aggregated grid at time t.

[0163] Energy storage operation constraints are as follows:

[0164]

[0165] In the formula, u ch (t,n),u disch (t,n) are the energy storage charging and discharging state variables, both of which are 0-1 variables; p ch (t,n),p disch (t,n) are the energy storage charging and discharging power variables respectively; P ch,max (t,n),P ch,min (t,n) are the maximum and minimum charging power of the energy storage inverter respectively; P disch,max (t,n),P disch,min (t,n) are the maximum and minimum discharge power of the energy storage inverter respectively; E es (t,n) is the amount of electrochemical energy storage at time t; C battery SOC is the rated capacity of the energy storage battery; max , SOC min are the charge and discharge cut-off capacity percentages of the energy storage battery, %.

[0166] Overhaul constraints, including:

[0167] The maintenance status and maintenance duration constraints are as follows:

[0168] For each type of maintenance, there is a time required for maintenance T mt and maintenance state variable U mt . And because a single overhaul is continuous in time, the following constraints apply:

[0169]

[0170] In the formula, is the maintenance status of the p-th maintenance in the aggregated power grid n at time t, which is a 0-1 variable. It is 1 when the maintenance exists at time t and 0 when it does not exist. Because a single maintenance is continuous in time, the maintenance status variable only changes twice in the optimization period T, that is, is the time required for the p-th maintenance in the aggregated power grid n, so we have

[0171] Power maintenance constraints are as follows:

[0172] For wind power, photovoltaic, conventional power and other power generation equipment and energy storage and other regulating equipment, consider the change of their power generation capacity and increase the power supply maintenance capacity parameter ΔC mt , so the output constraints of various power sources become:

[0173] Considering the conventional unit output constraints for power supply maintenance:

[0174]

[0175] In the formula, is the generating capacity of conventional unit j in aggregated grid n in period t without considering maintenance, is the maintenance capacity of conventional unit j in aggregated power grid n at time period t; is the maintenance status of conventional unit j in aggregated power grid n at time t; δ j,max and δ j,min are the maximum and minimum technical output coefficients of conventional unit j, respectively, and their value range is 0-1.

[0176] Considering the constraints of renewable energy output during power supply maintenance:

[0177]

[0178] In the formula, and is the power generation capacity of wind power and photovoltaic power generation in the aggregated grid at time period t without considering maintenance, and is the maintenance capacity of wind power and photovoltaic power in the aggregated grid at time period n; and is the maintenance status of wind power and photovoltaic power in the aggregated grid n at time t.

[0179] Line maintenance constraints are as follows:

[0180] Line maintenance mainly includes the maintenance of transformers, transmission lines, etc., mainly considering the changes in transmission capacity of transmission lines and key sections, and adding the power supply maintenance capacity parameter ΔL mt , so the line / section transmission capacity constraint becomes:

[0181]

[0182] In the formula, is the original transmission capacity of the ith transmission line / section in the tth period, is the maintenance capacity of the ith transmission line / section in the tth period; is the maintenance state variable of the i-th transmission line / section in the t-th period.

[0183] The maintenance quantity constraints are as follows:

[0184] To avoid repeated power outages in a certain area due to maintenance, or certain maintenance needs to follow the order requirements, the number of maintenance that occurs at the same time needs to be limited, and some specific maintenance is also mutually exclusive:

[0185]

[0186] In the formula, α mt (t,n) is the maximum number of maintenance allowed in the aggregated power grid n in the tth period; Ωmt A collection of maintenance events.

[0187] System adequacy constraints, including:

[0188] Regional power supply constraints are as follows:

[0189] If a region requires that power cannot be shut down during holidays or special meetings, then equipment under that region cannot be serviced during these specified periods.

[0190]

[0191] In the formula, Ω guar is the set of power conservation event time periods in area n.

[0192] The constraints on the utilization rate of new energy are as follows:

[0193]

[0194] In the formula, It is the lower limit of the new energy utilization rate requirement for the entire network.

[0195] The present invention integrates the new energy power prediction and the unit maintenance constraint when arranging the maintenance plan in advance according to the new energy output prediction information, realizes the coordinated optimization of wind, solar, water, fire and other power sources, and reasonably arranges the maintenance plan by optimizing the unit operation and maintenance window period. It can reserve more consumption space for new energy under the premise of ensuring system safety, reduce the new energy abandonment caused by insufficient system regulation ability, and improve the overall new energy consumption level of the system. The method can comprehensively consider factors including new energy output characteristics, new energy consumption targets and system operation characteristics, optimize the maintenance plan of the power system, so as to ensure that the maintenance plan not only meets the safety and reliability requirements of the system, but also maximizes the new energy consumption capacity of the system.

[0196] Embodiment 2:

[0197] The present invention also proposes an evaluation and optimization system 200 for power system maintenance plan, such as Figure 2 As shown, including:

[0198] Initial unit 201, according to the new energy consumption capacity, establish a power system maintenance plan evaluation scheme based on the optimal consumption of new energy;

[0199] An evaluation unit 202 is used to evaluate the power system maintenance plan to be evaluated according to the power system maintenance plan evaluation scheme, and obtain an optimization suggestion scheme for the power system maintenance plan to be evaluated;

[0200] The optimization unit 203 is used to optimize the power system maintenance plan to be evaluated according to the optimization suggestion scheme to obtain an optimized power system maintenance plan.

[0201] Among them, according to the new energy consumption capacity, the power system maintenance plan evaluation plan for the optimal consumption of new energy is established, including:

[0202] Determine the power system's ability to absorb raw renewable energy;

[0203] Determine the calculation boundary corresponding to the power system maintenance plan to be evaluated;

[0204] Based on the calculation boundary, determining the impact of the power system maintenance plan to be evaluated on the new energy consumption;

[0205] According to the impact results, with the goal of optimizing the consumption of new energy, the optimal maintenance window period of the power system maintenance plan to be evaluated is optimized, and the optimization result is obtained;

[0206] An optimization suggestion plan is generated according to the optimization result.

[0207] Among them, the determination of the original renewable energy absorption capacity of the power system includes:

[0208] According to the boundary conditions of the power grid when no maintenance is scheduled, based on the time-series production simulation method and with the goal of maximizing the absorption of new energy, the power grid's absorption capacity for the original new energy of the power system is calculated.

[0209] Among them, determining the calculation boundary corresponding to the power system maintenance plan to be evaluated includes:

[0210] Define the maintenance scope, and determine the equipment or lines to be repaired within the maintenance scope, and determine the optional maintenance time window based on the operating status of the equipment or lines to be repaired and the operation plan of the power grid, so as to generate the calculation boundary corresponding to the power system maintenance plan to be evaluated.

[0211] Among them, the equipment or line to be repaired corresponds to power supply maintenance or line maintenance;

[0212] The power supply maintenance includes: power generation equipment maintenance and energy storage and regulation equipment maintenance;

[0213] The line maintenance includes: transformer or transmission line maintenance.

[0214] Wherein, based on the calculation boundary, determining the impact of the power system maintenance plan to be evaluated on the new energy consumption includes:

[0215] The calculation boundary is modified according to the object to be overhauled and the maintenance time, and based on the time series production simulation method, with the maximum target of new energy consumption, the power system maintenance plan to be evaluated after the modified calculation boundary is calculated, and the new energy consumption capacity of the power system is compared with the original new energy consumption capacity to obtain the comparison result, and the influence of the power system maintenance plan to be evaluated on the new energy consumption and system regulation capacity of the power system is determined according to the comparison result.

[0216] Among them, the impact results include: the impact of wind and solar power abandonment risks, the impact of system reserve margin and the impact of charging and discharging scheduling of energy storage equipment.

[0217] According to the impact results, with the goal of optimizing the consumption of new energy, the optimal maintenance window period of the power system maintenance plan to be evaluated is optimized, and the optimization results are obtained, including:

[0218] According to the impact results, an optimization model is established with the goal of optimizing the consumption of new energy. The optimization model is used to optimize the optimal maintenance window period of the power system maintenance plan to be evaluated, and the optimization result is obtained.

[0219] The optimization model includes: an objective function and constraints of the objective function;

[0220] The objective function takes the maximum acceptance of new energy within the optimization period as the optimization goal;

[0221] The constraints include:

[0222] System operation constraints, maintenance constraints and system adequacy constraints;

[0223] The system operation constraints include:

[0224] Regional load balance constraints, regional reserve constraints, inter-regional line / section transmission capacity constraints, conventional unit output constraints, unit optimized power ramp rate constraints, generator unit power generation constraints, new energy output constraints and energy storage operation constraints;

[0225] The maintenance constraints include:

[0226] Maintenance status and maintenance duration constraints, power supply maintenance constraints, line maintenance constraints, and maintenance quantity constraints;

[0227] The system adequacy constraints include:

[0228] Regional power supply constraints and new energy utilization constraints.

[0229] Among them, the optimization suggestions include:

[0230] The time, sequence and scope of maintenance of the equipment or lines to be repaired; and

[0231] The benefits, risks and countermeasures of the proposed optimization plan.

[0232] The present invention proposes a method for evaluating and optimizing based on the optimal consumption of new energy, which can not only ensure that the maintenance plan meets the safety and reliability requirements of the system, but also maximize the new energy consumption capacity of the system.

[0233] Embodiment 3:

[0234] Based on the same inventive concept, the present invention also provides a computer device, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding functions, so as to implement the steps of the method in the above embodiment.

[0235] Embodiment 4:

[0236] Based on the same inventive concept, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It is understandable that the computer-readable storage medium here can include both a built-in storage medium in a computer device and an extended storage medium supported by the computer device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of the method in the above embodiment.

[0237] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. The schemes in the embodiments of the present invention may be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0238] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks 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 processes in the flowchart and / or block diagram. 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.

[0239] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate 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 A function specified in one or more boxes.

[0240] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0241] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0242] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for evaluating and optimizing a power system maintenance plan, characterized in that: include: According to the new energy consumption capacity, establish an evaluation plan for power system maintenance plan based on the optimal consumption of new energy; According to the power system maintenance plan evaluation scheme, the power system maintenance plan to be evaluated is evaluated to obtain an optimization suggestion scheme for the power system maintenance plan to be evaluated; According to the optimization suggestion scheme, the power system maintenance plan to be evaluated is optimized to obtain an optimized power system maintenance plan.

2. The evaluation optimization method according to claim 1, characterized in that: According to the new energy consumption capacity, the power system maintenance plan evaluation scheme based on the optimal consumption of new energy is established, including: Determine the power system's ability to absorb raw renewable energy; Determine the calculation boundary corresponding to the power system maintenance plan to be evaluated; Based on the calculation boundary, determining the impact of the power system maintenance plan to be evaluated on the new energy consumption; According to the impact results, with the goal of optimizing the consumption of new energy, the optimal maintenance window period of the power system maintenance plan to be evaluated is optimized, and the optimization result is obtained; An optimization suggestion plan is generated according to the optimization result.

3. The evaluation optimization method according to claim 2, characterized in that: The determination of the original renewable energy consumption capacity of the power system includes: According to the boundary conditions of the power grid when no maintenance is scheduled, based on the time-series production simulation method and with the goal of maximizing the absorption of new energy, the power grid's absorption capacity for the original new energy of the power system is calculated.

4. The evaluation optimization method according to claim 2, characterized in that: The step of determining a calculation boundary corresponding to the power system maintenance plan to be evaluated includes: Define the maintenance scope, and determine the equipment or lines to be repaired within the maintenance scope, and determine the optional maintenance time window based on the operating status of the equipment or lines to be repaired and the operation plan of the power grid, so as to generate the calculation boundary corresponding to the power system maintenance plan to be evaluated.

5. The evaluation optimization method according to claim 4, characterized in that: The equipment or line to be repaired corresponds to power supply maintenance or line maintenance; The power supply maintenance includes: power generation equipment maintenance and energy storage and regulation equipment maintenance; The line maintenance includes: transformer or transmission line maintenance.

6. The evaluation optimization method according to claim 2, characterized in that: The determining, based on the calculation boundary, the impact of the power system maintenance plan to be evaluated on the new energy consumption includes: The calculation boundary is modified according to the object to be overhauled and the maintenance time, and based on the time series production simulation method, with the maximum target of new energy consumption, the power system maintenance plan to be evaluated after the modified calculation boundary is calculated, and the new energy consumption capacity of the power system is compared with the original new energy consumption capacity to obtain the comparison result, and the influence of the power system maintenance plan to be evaluated on the new energy consumption and system regulation capacity of the power system is determined according to the comparison result.

7. The evaluation optimization method according to claim 6, characterized in that: The impact results include: the impact of wind and solar power abandonment risks, the impact of system reserve margin and the impact of charging and discharging scheduling of energy storage equipment.

8. The evaluation optimization method according to claim 2, characterized in that: According to the impact result, with the goal of optimizing the consumption of new energy, the optimal maintenance window period of the power system maintenance plan to be evaluated is optimized, and the optimization result is obtained, including: According to the impact results, an optimization model is established with the goal of optimizing the consumption of new energy. The optimization model is used to optimize the optimal maintenance window period of the power system maintenance plan to be evaluated, and the optimization result is obtained.

9. The evaluation optimization method according to claim 8, characterized in that: The optimization model includes: an objective function and constraints of the objective function; The objective function takes the maximum acceptance of new energy within the optimization period as the optimization goal; The constraints include: System operation constraints, maintenance constraints and system adequacy constraints; The system operation constraints include: Regional load balance constraints, regional reserve constraints, inter-regional line / section transmission capacity constraints, conventional unit output constraints, unit optimized power ramp rate constraints, generator unit power generation constraints, new energy output constraints and energy storage operation constraints; The maintenance constraints include: Maintenance status and maintenance duration constraints, power supply maintenance constraints, line maintenance constraints, and maintenance quantity constraints; The system adequacy constraints include: Regional power supply constraints and new energy utilization constraints.

10. The evaluation optimization method according to claim 2, characterized in that: The optimization suggestion scheme includes: The time, sequence and scope of maintenance of the equipment or lines to be repaired; and The benefits, risks and countermeasures of the proposed optimization plan.

11. An evaluation and optimization system for power system maintenance plan, characterized in that: include: The initial unit is used to establish an evaluation scheme for the maintenance plan of the power system based on the optimal consumption of new energy according to the consumption capacity of new energy; An evaluation unit, configured to evaluate the power system maintenance plan to be evaluated according to the power system maintenance plan evaluation scheme, and obtain an optimization suggestion scheme for the power system maintenance plan to be evaluated; The optimization unit is used to optimize the power system maintenance plan to be evaluated according to the optimization suggestion scheme to obtain an optimized power system maintenance plan.

12. The evaluation and optimization system according to claim 11, characterized in that: The power system maintenance plan evaluation scheme for optimal consumption of new energy is established based on the new energy consumption capacity, including: Determine the power system's ability to absorb raw renewable energy; Determine the calculation boundary corresponding to the power system maintenance plan to be evaluated; Based on the calculation boundary, determining the impact of the power system maintenance plan to be evaluated on the new energy consumption; According to the impact results, with the goal of optimizing the consumption of new energy, the optimal maintenance window period of the power system maintenance plan to be evaluated is optimized, and the optimization result is obtained; An optimization suggestion plan is generated according to the optimization result.

13. The evaluation and optimization system according to claim 12, characterized in that: The determination of the original renewable energy consumption capacity of the power system includes: According to the boundary conditions of the power grid when no maintenance is scheduled, based on the time-series production simulation method and with the goal of maximizing the absorption of new energy, the power grid's absorption capacity for the original new energy of the power system is calculated.

14. The evaluation and optimization system according to claim 12, characterized in that: The step of determining a calculation boundary corresponding to the power system maintenance plan to be evaluated includes: Define the maintenance scope, and determine the equipment or lines to be repaired within the maintenance scope, and determine the optional maintenance time window based on the operating status of the equipment or lines to be repaired and the operation plan of the power grid, so as to generate the calculation boundary corresponding to the power system maintenance plan to be evaluated.

15. The evaluation and optimization system according to claim 14, characterized in that: The equipment or line to be repaired corresponds to power supply maintenance or line maintenance; The power supply maintenance includes: power generation equipment maintenance and energy storage and regulation equipment maintenance; The line maintenance includes: transformer or transmission line maintenance.

16. The evaluation and optimization system according to claim 12, characterized in that: The determining, based on the calculation boundary, the impact of the power system maintenance plan to be evaluated on the new energy consumption includes: The calculation boundary is modified according to the object to be overhauled and the maintenance time, and based on the time series production simulation method, with the maximum target of new energy consumption, the power system maintenance plan to be evaluated after the modified calculation boundary is calculated, and the new energy consumption capacity of the power system is compared with the original new energy consumption capacity to obtain the comparison result, and the influence of the power system maintenance plan to be evaluated on the new energy consumption and system regulation capacity of the power system is determined according to the comparison result.

17. The evaluation and optimization system according to claim 16, characterized in that: The impact results include: the impact of wind and solar power abandonment risks, the impact of system reserve margin and the impact of charging and discharging scheduling of energy storage equipment.

18. The evaluation and optimization system according to claim 12, characterized in that: According to the impact result, with the goal of optimizing the consumption of new energy, the optimal maintenance window period of the power system maintenance plan to be evaluated is optimized, and the optimization result is obtained, including: According to the impact results, an optimization model is established with the goal of optimizing the consumption of new energy. The optimization model is used to optimize the optimal maintenance window period of the power system maintenance plan to be evaluated, and the optimization result is obtained.

19. The evaluation and optimization system according to claim 18, characterized in that: The optimization model includes: an objective function and constraints of the objective function; The objective function takes the maximum acceptance of new energy within the optimization period as the optimization goal; The constraints include: System operation constraints, maintenance constraints and system adequacy constraints; The system operation constraints include: Regional load balance constraints, regional reserve constraints, inter-regional line / section transmission capacity constraints, conventional unit output constraints, unit optimized power ramp rate constraints, generator unit power generation constraints, new energy output constraints and energy storage operation constraints; The maintenance constraints include: Maintenance status and maintenance duration constraints, power supply maintenance constraints, line maintenance constraints, and maintenance quantity constraints; The system adequacy constraints include: Regional power supply constraints and new energy utilization constraints.

20. The evaluation and optimization system according to claim 12, characterized in that: The optimization suggestion scheme includes: The time, sequence and scope of maintenance of the equipment or lines to be repaired; and The benefits, risks and countermeasures of the proposed optimization plan.

21. A computer device, characterized in that: include: one or more processors; a processor for executing one or more programs; When the one or more programs are executed by the one or more processors, the method according to any one of claims 1 to 10 is implemented.

22. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, the method according to any one of claims 1 to 10 is implemented.

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