Multi-type unit maintenance plan configuration method and system based on aggregation unit combination

Abstract

The invention discloses a multi-type unit maintenance plan configuration method and system based on aggregation unit combination, and the method comprises the steps: firstly collecting the comprehensive data of a target power system, including the data of a regional load, a conventional unit, a hydroelectric unit, a pumped storage unit, a battery energy storage system and a wind power photovoltaic unit; and then, in combination with a preset optimization model based on clustering unit combination, making a maintenance plan of multiple types of units. The optimization model integrates operation models of a thermal power generating unit, a hydroelectric generating unit, a pumped storage unit and battery energy storage and an overhaul model of a unit to be overhauled, and aims to balance operation cost, overhaul cost and punishment cost caused by unavailability of the unit. Through the method, the reliable operation of the power system can be ensured in the optimization period, the maintenance requirements of multiple unit types are considered at the same time, the comprehensiveness and accuracy of maintenance plan configuration are improved, and the problems that in a traditional method, the unit type is single, and the solving efficiency is low are effectively solved.

Description

Technical Field

[0001] The invention belongs to the technical field of electric power maintenance, and relates to a method and system for configuring a maintenance plan for multiple types of units based on aggregated unit combinations. Background Art

[0002] The growing demand for electric energy poses a challenge to the efficient and reliable operation of the power system. With the rapid development of the power system, its scale is expanding, the power network is becoming more complex, and there are more and more power equipment. As the backbone of the power system, once a generator fails, it will affect the efficiency and reliability of the power system, and may even cause system failure or paralysis. Reasonable arrangement of the maintenance of power generation equipment is an important part of the power system operation planning. The unit maintenance plan not only affects the operation reliability of the unit itself, but also affects the power generation capacity surplus of the power system in various periods, the power generation scheduling sequence of the unit, etc., which in turn affects the safe and reliable operation of the power system. However, the generator maintenance plan in the medium and long-term power system operation involves a long time span, a large problem scale, and high computational difficulty. Therefore, how to design an efficient generator maintenance scheduling model is an important issue for the medium and long-term reliable operation of the power system.

[0003] At present, the power system is still based on planned maintenance, that is, the maintenance plan is manually compiled. Such a scheme is based on simple rules and arranges maintenance according to fixed time intervals or predetermined operation plans. It is only a feasible plan, so the reliability and economy of the power system operation cannot be guaranteed to the greatest extent. The maintenance model solution algorithm of the generator set generally includes two categories: mathematical optimization algorithm and heuristic algorithm. The heuristic methods of unit maintenance mainly include equal reserve method and equal risk method. In particular, the equal reserve method has been widely used because it is simple and intuitive, and a satisfactory solution can be obtained through less calculation. These methods use certain heuristic rules to arrange and combine the maintenance sequence of the generator set, so that the reliability objectives such as the reserve rate of the system during the overall operation are minimized. Although these methods have fast operation speed, they cannot simulate the actual operation process of the power system, and the operability and economy of the results are difficult to guarantee. The mathematical optimization method simulates the operation and maintenance process of the generator set by establishing a mixed integer programming model, but it often only solves a single type of unit, and overall, the mathematical optimization algorithm generally has a large amount of calculation, and the final solution is more related to the accuracy of the model. By establishing a combined model of aggregated units, the efficiency of solving the maintenance model can be significantly improved, which is suitable for large-scale power systems.

[0004] In summary, in the configuration of power system maintenance plans, it is necessary to comprehensively consider the maintenance arrangements of various types of units, and ensure that the overall operating efficiency is as fast as possible while meeting the goal of optimal system economy. It is urgent to design an efficient maintenance scheduling model that considers multiple types of generators to ensure the long-term reliable operation of the power system. Summary of the invention

[0005] In view of the problems existing in the prior art, the present invention provides a method and system for configuring maintenance plans for multiple types of units based on aggregated unit combinations, thereby solving the technical problems in the prior art of single unit type for maintenance configuration of power systems and low solution efficiency.

[0006] The present invention is achieved through the following technical solutions:

[0007] A method for configuring maintenance plans of multiple types of units based on aggregated unit combinations comprises the following steps:

[0008] Acquire input information; wherein the input information includes regional load data, traditional unit data, hydropower unit data, pumped storage unit data, battery energy storage system data, and wind power photovoltaic unit data of the target power system;

[0009] According to the acquired regional load data, traditional unit data, hydropower unit data, pumped storage unit data, battery energy storage system data and wind power photovoltaic unit data, and in combination with the preset multi-type unit maintenance plan configuration optimization model constructed based on clustering unit combination, wherein the objective function of the multi-type unit maintenance plan configuration optimization model constructed based on clustering unit combination takes the operating cost of each type of unit, the maintenance cost of the unit to be repaired, and the penalty cost of load loss, wind abandonment, solar abandonment and water abandonment as the minimum, the maintenance plans of multi-type units such as traditional thermal power units, hydropower units, pumped storage units, etc. are obtained, and the maintenance plan configuration of the multi-type units is completed.

[0010] Preferably, the construction process of the multi-type unit maintenance plan configuration model based on clustering unit combination is:

[0011] Establish multi-type unit operation models, specifically: based on the actual operation of each unit in the power system, establish a clustered unit combination operation model of traditional thermal power units, a hydropower unit operation model, a pumped storage unit operation model, and a battery energy storage operation model;

[0012] Establish a maintenance model for the units to be overhauled, specifically: establish maintenance models for thermal power units, hydropower units, and pumped storage units based on the maintenance requirements of different types of units to be overhauled;

[0013] Establish the optimal economic objective function, specifically: based on the optimal economic objective of the power system as a whole, construct the objective function with the lowest operating cost of each type of unit, the maintenance cost of the units to be repaired, and the penalty cost of load loss, wind abandonment, solar abandonment, and water abandonment;

[0014] A power system unit maintenance plan configuration model is established based on the multi-type unit operation model, the maintenance model of the unit to be repaired and the economic optimal objective function.

[0015] Preferably, based on the actual operation of the thermal power units in the power system, a clustered unit combination operation model of traditional thermal power units is established, and the clustered unit combination operation model of traditional thermal power units is specifically:

[0016]

[0017] Among them, t is the moment number of the running time; is the minimum technical output of the online installed capacity of aggregated thermal power unit i at time t; is the output of aggregated thermal power unit i at time t; is the online installed capacity of aggregated thermal power unit i at time t; is the maximum output of aggregated thermal power unit i at time t; is the ratio of the maximum starting capacity of aggregated thermal power units to the installed capacity; is the ratio of the maximum upward ramping capacity of the aggregated thermal power units to the installed capacity; is the ratio of the maximum shutdown capacity of aggregated thermal power units to the installed capacity; is the ratio of the maximum downward ramp capacity of the aggregated thermal power units to the installed capacity; SU i,t is the installed capacity of aggregated thermal power unit i started at time t; SD i,t is the installed capacity of aggregated thermal power unit i shut down at time t; T i,on , T i,off are the minimum start-up and shutdown times of aggregate thermal power unit i, respectively;

[0018] Based on the actual operation of the hydropower units in the power system, a hydropower unit operation model is established. The hydropower operation model is specifically as follows:

[0019]

[0020] in, are the minimum technical output and maximum power limit of hydropower unit i respectively; is the real-time output of hydropower unit i at time t; is the amount of water abandoned by hydropower unit i at time t; is the state variable of hydropower unit i at time t, with a value of 1 indicating that the unit is in the on state, and a value of 0 indicating that the unit is in the off state; is the total power distribution of hydropower unit i in week w; is the annual electricity output of hydropower unit i;

[0021] Preferably, based on the actual operation of the pumped storage unit in the power system, a pumped storage unit operation model is established, and the pumped storage unit operation model is specifically:

[0022]

[0023] in, is the actual pumping power of pumped storage unit i at time t; is the actual pumping power of pumped storage unit i at time t; is the maximum pumping power of pumped storage unit i; is the maximum pumping power of pumped storage unit i; is the pumping state variable of pumped storage unit i at time t, with a value of 1 indicating that the unit is in the pumping state, and a value of 0 indicating that the unit is in the non-pumping state; is the power generation state variable of pumped storage unit i at time t, with a value of 1 indicating that the unit is in a power generation state, and a value of 0 indicating that the unit is in a non-power generation state; is the upstream reservoir capacity of pumped storage unit i at time t; is the lower limit of the upstream reservoir capacity of pumped storage unit i; is the upper limit of the upstream reservoir capacity of pumped storage unit i; is the downstream reservoir capacity of pumped storage unit i at time t; is the lower limit of the downstream reservoir capacity of pumped storage unit i; is the upper limit of the downstream reservoir capacity of pumped storage unit i; η PS,pump is the pumping efficiency of pumped storage unit i; η PS,dch is the power generation efficiency of pumped storage unit i;

[0024] Preferably, based on the actual operation of the battery energy storage in the power system, a battery energy storage operation model is established, and the battery energy storage operation model is specifically:

[0025]

[0026] in, is the actual charging power of battery energy storage i at time t; is the actual discharge power of battery energy storage i at time t; is the maximum charging power of the battery energy storage i; is the maximum discharge power of battery energy storage i; is the charging state variable of battery energy storage i at time t, a value of 1 indicates that the unit is in a charging state, and a value of 0 indicates that the unit is in a non-charging state; is the discharge state variable of battery energy storage i at time t, a value of 1 indicates that the unit is in a discharge state, and a value of 0 indicates that the unit is in a non-discharge state; is the battery capacity of battery energy storage i at time t; is the minimum state of charge of battery energy storage i; is the maximum state of charge of battery energy storage i; η ES,cha is the charging efficiency of battery energy storage i; η ES,dch is the discharge efficiency of battery energy storage i;

[0027] Preferably, the maintenance requirements of different types of units to be repaired are used to establish maintenance models for thermal power units, hydropower units, and pumped storage units. The maintenance models for thermal power units, hydropower units, and pumped storage units are:

[0028]

[0029] Where w is the time number of the maintenance time, in weeks; z i,w is the action state variable of whether the maintenance of generator set i has started at time w. The value of 1 indicates that the generator set has entered the maintenance state at time w, and the value of 0 indicates that the generator set has not entered the maintenance state at time w. i,w is the maintenance state variable of generator set i at time w. A value of 1 indicates that the generator set is in maintenance state at time w, and a value of 0 indicates that the generator set is in normal operation state at time w. i is the number of times generator set i needs maintenance in a year; MT i is the time required for each maintenance of generator set i; MC TG is the number of traditional thermal power units under maintenance at each moment; MC HS is the number of hydropower units under maintenance at each moment; MC PS The number of pumped storage units under maintenance at each moment

[0030] Preferably, based on the optimal goal of the overall economic efficiency of the power system, an objective function is constructed to minimize the operating costs of various types of units, the maintenance costs of units to be repaired, and the penalty costs for load loss, wind abandonment, solar abandonment, and water abandonment. The economic objective function is:

[0031] minC=C TG +C ES +C PS +C MA +C PEN

[0032]

[0033] Where C is the economic cost of the whole system in a given research period; C TG is the operating cost of traditional thermal power units in a given research period; CE S is the operating cost of battery energy storage in a given research period; C PS is the operating cost of the pumped storage unit in the given research period; C MA is the unit maintenance cost within the given research period; C PEN is the penalty cost for load loss, wind power curtailment, solar power curtailment and water curtailment during a given study period; is the unit operating cost of traditional thermal power units; The startup cost of traditional thermal power units; The shutdown cost of traditional thermal power units; Cost of charging a unit of battery energy storage; is the unit discharge cost of battery energy storage; is the unit pumping cost of the pumped storage unit; c L is the penalty cost per unit load loss; c CW is the penalty cost for unit wind curtailment; c CPV is the penalty cost for unit abandonment; c CH is the penalty cost per unit of abandoned water; ΔD i,t is the actual load loss power in area i at time t; is the actual abandoned wind power of wind turbine i at time t; is the actual abandoned power of PV unit i at time t; is the actual abandoned water power of hydropower unit i at time t; c TG,main is the unit maintenance cost of traditional thermal power units; c PS,main is the unit maintenance cost of the pumped storage unit; c H,main is the unit maintenance cost of the hydropower unit;

[0034] A multi-type unit maintenance plan configuration system based on clustering unit combination, comprising:

[0035] A data acquisition unit, the data acquisition unit is used to acquire regional load data, traditional unit data, hydropower unit data, pumped storage unit data, battery energy storage system data, and wind power photovoltaic unit data of the target power system;

[0036] A data processing unit, the data processing unit is used to obtain maintenance plans of multiple types of units such as traditional thermal power units, hydropower units, pumped storage units, battery energy storage system data and wind power photovoltaic unit data according to the acquired regional load data, traditional unit data, hydropower unit data, pumped storage unit data, battery energy storage system data and wind power photovoltaic unit data, and in combination with a preset multi-type unit maintenance plan configuration optimization model based on clustering unit combination, wherein the objective function of the optimization model takes the operating cost of each type of unit, the maintenance cost of the unit to be repaired, and the minimum penalty cost for loss of load, abandonment of wind, abandonment of light and abandonment of water as the goal, to obtain maintenance plans of multiple types of units such as traditional thermal power units, hydropower units, pumped storage units, and complete the maintenance plan configuration of the multiple types of units.

[0037] A terminal device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0038] A computer-readable storage medium stores a computer program, wherein the computer program implements the steps of the above method when executed by a processor.

[0039] Compared with the prior art, the present invention has the following beneficial technical effects:

[0040] The present invention discloses a method for configuring maintenance plans for multiple types of units based on clustered unit combinations. The method firstly obtains comprehensive data including traditional units, hydropower units, pumped storage units, battery energy storage systems and wind power photovoltaic units, thereby achieving comprehensive consideration of multiple types of units in the power system. The comprehensive consideration of data of multiple types of units here helps to more accurately reflect the actual operating status of the power system, thereby formulating a more reasonable and comprehensive maintenance plan. In addition, by constructing a maintenance plan configuration optimization model for multiple types of units based on clustered unit combinations, the method can more effectively process a large amount of unit data and improve the solution efficiency. At the same time, the clustered unit combination can also help capture the similarities and differences between units, and provide more valuable information for optimizing the maintenance plan. At the same time, in the processing process, the objective function of the method is based on each type of The goal is to minimize the unit operating cost, the maintenance cost of the units to be repaired, and the penalty costs for loss of load, wind abandonment, solar abandonment, and water abandonment. This design not only takes into account the economy of the unit, but also fully considers the reliability and environmental protection of the power system. By minimizing these costs, it can reduce the maintenance cost while ensuring the stable operation of the power system, and reduce the power loss and renewable energy waste caused by unit maintenance. Combined with the comprehensive data obtained and the optimization model, this method can comprehensively solve the maintenance plans of various types of units such as traditional thermal power units, hydropower units, and pumped storage units. This comprehensive solution method avoids the one-sidedness of the solution caused by the single unit type in the traditional method. By comprehensively considering the maintenance needs of various types of units, this method can formulate a more coordinated and efficient maintenance plan to improve the overall operation efficiency and reliability of the power system. In summary, the above-mentioned multi-type unit maintenance plan configuration method based on aggregated unit combination effectively solves the problems of single unit type and low solution efficiency in the existing technology for power system maintenance configuration by comprehensively considering data of various types of units, applying clustered unit combination technology, designing comprehensive objective functions, and performing comprehensive solution and configuration. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0042] Figure 1 It is a flow chart of a method for configuring maintenance plans of multiple types of units based on aggregated unit combination in the present invention;

[0043] Figure 2 The distribution of annual hydropower electricity to each week in the present invention;

[0044] Figure 3 Configuration curves for maintenance plans of different types of units in the present invention;

[0045] Figure 4 It is a structural schematic diagram of a method for configuring maintenance plans of multiple types of units based on aggregated unit combination in the present invention;

[0046] Figure 5 It is a structural schematic diagram of a method for configuring maintenance plans for multiple types of units based on aggregated unit combinations in the present invention. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0048] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0050] In the description of the embodiments of the present invention, it should be noted that if the terms "upper", "lower", "horizontal", "inner", etc. indicate an orientation or positional relationship based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the product of the invention is usually placed when in use, it is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In addition, the terms "first", "second", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0051] In addition, if the term "horizontal" appears, it does not mean that the component must be absolutely horizontal, but can be slightly tilted. For example, "horizontal" only means that its direction is more horizontal than "vertical", which does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0052] In the description of the embodiments of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal connection of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0053] The present invention is further described in detail below in conjunction with the accompanying drawings:

[0054] Example 1

[0055] like Figure 1 As shown, the framework diagram of the maintenance plan configuration method for multiple types of units based on aggregated unit combination proposed in the present invention is based on the input load, wind power photovoltaic, conventional thermal power units, hydropower units, pumped storage units, and battery energy storage data, and considers the boundary conditions of the operation of each unit. With the goal of minimizing the total cost of operation and maintenance of the entire system, the operation constraints of the thermal power units, the operation constraints of the hydropower units, the battery energy storage constraints, the pumped storage unit constraints, and the power balance constraints are comprehensively considered to establish a maintenance configuration optimization model, and finally the maintenance arrangements of the three types of units, thermal power, hydropower, and pumped storage, are obtained.

[0056] Specifically, first obtain the regional load data, traditional thermal power unit data, hydropower unit data, pumped storage unit data, battery energy storage system data, and wind power photovoltaic unit data of the target power system;

[0057] The regional load data includes the zoning of the target power system and the load data of each zoning for 8760 hours throughout the year. The traditional thermal power unit data includes the installed capacity of thermal power units, the region to which each thermal power unit belongs, the upper and lower limits of the output of each thermal power unit, the minimum start-up and shutdown time of each unit, the maximum up and down ramp power of each unit, the start-up and shutdown cost of each unit, the cluster number to which each unit belongs, and the number of overhauls\time\maximum number of simultaneous overhauls of each unit; the hydropower unit data includes the installed capacity of hydropower units, the upper and lower limits of the output of each hydropower unit, the total annual power of each hydropower unit, and the number of overhauls\time\maximum number of simultaneous overhauls of each unit; the pumped storage unit data includes The installed capacity of pumped-storage units, the upper and lower limits of the pumping and power generation output of each unit of the pumped-storage units, the pumping and power generation efficiency of each unit of the pumped-storage units, the upper and lower limits of the upstream and downstream reservoir capacity of each unit of the pumped-storage units, and the number of maintenance times, time, and maximum number of simultaneous maintenance of each unit; the battery energy storage data includes the maximum and minimum charging power of each battery energy storage unit, the maximum and minimum discharge power of each battery energy storage unit, the charging and discharge efficiency of each battery energy storage unit, and the maximum and minimum state of charge of each battery energy storage unit; the wind power and photovoltaic unit data, that is, the new energy data, includes the wind power installed capacity, photovoltaic installed capacity, and the output per unit value of the wind power and photovoltaic units under 8760 hours throughout the year.

[0058] Then, based on the acquired regional load data, traditional unit data, hydropower unit data, pumped storage unit data, battery energy storage system data and wind power photovoltaic unit data, and combined with a preset multi-type unit maintenance plan configuration optimization model based on clustering unit combination, wherein the objective function of the optimization model takes the operating cost of each type of unit, the maintenance cost of the unit to be repaired, and the penalty cost of loss of load, abandonment of wind, abandonment of light and abandonment of water as the minimum, the maintenance plans of multi-type units such as traditional thermal power units, hydropower units, pumped storage units, etc. are obtained, and the maintenance plan configuration of the multi-type units is completed.

[0059] The construction process of the power system flexible resource planning model is as follows:

[0060] 1. Based on the actual operation of each unit in the power system, establish a clustered unit combination operation model of traditional thermal power units, a hydropower unit operation model, a pumped storage unit operation model, and a battery energy storage operation model;

[0061] The power output of the aggregated thermal power units at each moment is constrained by their minimum technical output and online installed capacity; the state of the aggregated thermal power units at each moment is constrained by their minimum start-up and shutdown time, and a unit cannot be started and shut down at the same time; the output change of the aggregated thermal power units over time is constrained by their climbing ability; therefore, based on the actual operation of the thermal power units in the power system, a clustered unit combination operation model of traditional thermal power units is established, and the clustered unit combination operation model of traditional thermal power units is specifically as follows:

[0062]

[0063] Among them, t is the moment number of the running time; is the minimum technical output of the online installed capacity of aggregated thermal power unit i at time t; is the output of aggregated thermal power unit i at time t; is the online installed capacity of aggregated thermal power unit i at time t; is the maximum output of aggregated thermal power unit i at time t; is the ratio of the maximum starting capacity of aggregated thermal power units to the installed capacity; is the ratio of the maximum upward ramping capacity of the aggregated thermal power units to the installed capacity; is the ratio of the maximum shutdown capacity of aggregated thermal power units to the installed capacity; is the ratio of the maximum downward ramp capacity of the aggregated thermal power units to the installed capacity; SU i,t is the installed capacity of aggregated thermal power unit i started at time t; SD i,t is the installed capacity of aggregated thermal power unit i shut down at time t; T i,on , T i,off are the minimum start-up and shutdown times of aggregate thermal power unit i, respectively;

[0064] The power output of the hydropower unit at each moment is constrained by its minimum technical output and startup status. At the same time, the weekly power generation of a unit is constrained by the weekly power; the annual power generation of the hydropower unit is constrained by the total power generation; the amount of water abandoned at each moment needs to be a positive number; therefore, based on the actual operation of the hydropower unit in the power system, a hydropower unit operation model is established, and the hydropower operation model is specifically as follows:

[0065]

[0066] Among them, P i H,min , P i H,max are the minimum technical output and maximum power limit of hydropower unit i respectively; is the real-time output of hydropower unit i at time t; is the amount of water abandoned by hydropower unit i at time t; is the state variable of hydropower unit i at time t, with a value of 1 indicating that the unit is in the on state, and a value of 0 indicating that the unit is in the off state; is the total power distribution of hydropower unit i in week w; W i H is the annual electricity output of hydropower unit i;

[0067] The pumping power of the pumped storage unit at each moment is limited by the maximum pumping power of the unit and the state it is in; the power generation power of the pumped storage unit at each moment is limited by the maximum pumping power of the unit and the state it is in; the upstream and downstream reservoir capacities of the pumped storage unit at each moment are related to the upstream and downstream reservoir capacities at the previous moment and the pumping\power generation power of the unit at each moment, and are also limited by the maximum and minimum storage capacities of the upstream and downstream reservoirs; therefore, based on the actual operation of the pumped storage unit in the power system, an operation model of the pumped storage unit is established, and the specific operation model of the pumped storage unit is:

[0068]

[0069] in, is the actual pumping power of pumped storage unit i at time t; is the actual pumping power of pumped storage unit i at time t; P i PS,pump,max is the maximum pumping power of pumped storage unit i; P i PS,dch,max is the maximum pumping power of pumped storage unit i; is the pumping state variable of pumped storage unit i at time t, with a value of 1 indicating that the unit is in the pumping state, and a value of 0 indicating that the unit is in the non-pumping state; is the power generation state variable of pumped storage unit i at time t, with a value of 1 indicating that the unit is in a power generation state, and a value of 0 indicating that the unit is in a non-power generation state; is the upstream reservoir capacity of pumped storage unit i at time t; is the lower limit of the upstream reservoir capacity of pumped storage unit i; is the upper limit of the upstream reservoir capacity of pumped storage unit i; is the downstream reservoir capacity of pumped storage unit i at time t; is the lower limit of the downstream reservoir capacity of pumped storage unit i; is the upper limit of the downstream reservoir capacity of pumped storage unit i; η PS,pump is the pumping efficiency of pumped storage unit i; η PS,dch is the power generation efficiency of pumped storage unit i;

[0070] Based on the actual operation of battery energy storage in the power system, a battery energy storage operation model is established. The battery energy storage operation model is specifically as follows:

[0071]

[0072] in, is the actual charging power of battery energy storage i at time t; is the actual discharge power of battery energy storage i at time t; P i ES,cha,max is the maximum charging power of battery energy storage i; P i ES,dch,max is the maximum discharge power of battery energy storage i; is the charging state variable of battery energy storage i at time t, a value of 1 indicates that the unit is in a charging state, and a value of 0 indicates that the unit is in a non-charging state; is the discharge state variable of battery energy storage i at time t, a value of 1 indicates that the unit is in a discharge state, and a value of 0 indicates that the unit is in a non-discharge state; is the battery capacity of battery energy storage i at time t; is the minimum state of charge of battery energy storage i; is the maximum state of charge of battery energy storage i; η ES,cha is the charging efficiency of battery energy storage i; η ES,dch is the discharge efficiency of battery energy storage i;

[0073] 2. Based on the maintenance requirements of different types of units to be overhauled, a maintenance model for thermal power units, hydropower units, and pumped storage units is established;

[0074] Generally speaking, the time scale of maintenance plan (such as daily or weekly) is usually different from the time scale of unit operation scheduling (usually hourly). The established maintenance model is aimed at the annual maintenance plan problem, and the maintenance time scale is usually set to weekly. In addition, the model considers the annual maintenance of three different types of units: thermal power, hydropower and pumped storage; the maintenance configuration of each type of unit is limited by the number of maintenance and the duration of each maintenance; each type of unit is constrained by the continuity of maintenance, that is, once the maintenance starts at a certain moment, it needs to be continued until the required maintenance duration is reached before it can be stopped. At the same time, the development of maintenance work is limited by maintenance resources, and it is generally impossible to maintain multiple units at the same time.

[0075]

[0076] Where w is the time number of the maintenance time, in weeks; z i,w is the action state variable of whether the maintenance of generator set i has started at time w. The value of 1 indicates that the generator set has entered the maintenance state at time w, and the value of 0 indicates that the generator set has not entered the maintenance state at time w.i,w is the maintenance state variable of generator set i at time w. A value of 1 indicates that the generator set is in maintenance state at time w, and a value of 0 indicates that the generator set is in normal operation state at time w. i is the number of times generator set i needs maintenance in a year; MT i is the time required for each maintenance of generator set i; MC TG is the number of traditional thermal power units under maintenance at each moment; MC HS is the number of hydropower units under maintenance at each moment; MC PS The number of pumped storage units under maintenance at each moment;

[0077] 3. Based on the optimal goal of the overall economic efficiency of the power system, construct an objective function to minimize the operating costs of various types of units, the maintenance costs of units to be repaired, and the penalty costs for load loss, wind abandonment, solar abandonment, and water abandonment;

[0078] minC=C TG +C ES +C PS +C MA +C PEN

[0079]

[0080] Where C is the economic cost of the whole system in a given research period; C TG is the operating cost of traditional thermal power units in the given research period; C ES is the operating cost of battery energy storage in a given research period; C PS is the operating cost of the pumped storage unit in the given research period; C MA is the unit maintenance cost within the given research period; C PEN is the penalty cost for load loss, wind power curtailment, solar power curtailment and water curtailment during a given study period; is the unit operating cost of traditional thermal power units; The startup cost of traditional thermal power units; The shutdown cost of traditional thermal power units; Cost of charging a unit of battery energy storage; is the unit discharge cost of battery energy storage; is the unit pumping cost of the pumped storage unit; c L is the penalty cost per unit load loss; c CW is the penalty cost for unit wind curtailment; c CPV is the penalty cost for unit abandonment; c CH is the penalty cost per unit of abandoned water; ΔD i,t is the actual load loss power in area i at time t; is the actual abandoned wind power of wind turbine i at time t; is the actual abandoned power of PV unit i at time t; is the actual abandoned water power of hydropower unit i at time t; c TG,main is the unit maintenance cost of traditional thermal power units; c PS,main is the unit maintenance cost of the pumped storage unit; c H,main is the unit maintenance cost of the hydropower unit;

[0081] Fourth, according to the traditional thermal power unit clustering unit combination operation model, hydropower unit operation model, pumped storage unit operation model, battery energy storage operation model, thermal power unit\hydropower unit\pumped storage unit maintenance model, and the operation cost of each type of unit, the maintenance cost of the unit to be repaired, and the lowest penalty cost of load loss\wind abandonment\light abandonment\water abandonment, a multi-type unit maintenance plan configuration optimization model is established, and finally the maintenance schedule of different types of units throughout the year is obtained, and the maintenance plan configuration of the multi-type units is completed. That is, based on the minimization of the total cost of operation, maintenance, and penalty of the whole system, considering the constraints of operation and maintenance of each unit, a multi-type unit maintenance plan configuration optimization model is established, and finally the maintenance schedule of different types of units throughout the year is obtained.

[0082] The model constraints for multi-type unit maintenance plan configuration also include:

[0083] Supply and demand balance constraints:

[0084]

[0085] in, They are the output of the i-th thermal power unit, the i-th hydropower unit, the i-th wind power unit and the i-th photovoltaic unit at time t respectively; are the abandoned water volume of the ith hydropower unit, the abandoned wind volume of the ith wind power unit, and the abandoned light volume of the ith photovoltaic unit at time t respectively; are the discharge power and charging power of the i-th battery energy storage unit at time t respectively; are the generating power and pumping power of the i-th pumped storage unit at time t respectively; D i,t is the load size of the i-th area at time t; ΔD i,t is the load shedding size of the ith area at time t;

[0086] Wind power and photovoltaic related constraints:

[0087]

[0088] Furthermore, the present invention verifies the effectiveness of the proposed model by comparing it with the maintenance configuration model based on the traditional unit combination.

[0089] Based on the current boundary conditions, the same load scale is maintained and the basic unit combination model (BUC) and the aggregated unit combination model (CUC) are used to solve the problem. For the two models, the solution time and the variable parameters in the solution process are obtained, as shown in Table 1. It can be found that compared with BUC, the number of binary variables in CUC is significantly reduced, and the solution gap is reduced while the solution speed is greatly accelerated.

[0090] Table 1 Comparison of solution parameters of the two models

[0091]

[0092] The weekly electricity distribution of hydropower units using the basic unit combination (BUC) model and the aggregated unit combination model (CUC) is shown in Figure 2 Obviously, the weekly distribution of annual hydropower under different maintenance models is basically consistent, and is positively correlated with the maximum weekly load (see Figure 3 ), when the maximum weekly load is higher, hydropower will allocate more electricity in that week to achieve system power balance, and vice versa.

[0093] The annual maintenance plan configuration of multiple types of units using the aggregated unit combination model (CUC) is shown in Figure 3 When the weekly peak load is low, more maintenance capacity is usually scheduled. Conversely, during weeks with higher peak loads (when the system needs more units to remain in normal operation), the maintenance plan allocates less maintenance capacity.

[0094] Through the above description, the multi-type unit maintenance plan configuration method based on aggregated unit combination proposed in the present invention can greatly speed up the solution speed and formulate a reasonable maintenance arrangement strategy for multiple types of units under the premise of ensuring the solution accuracy, compared with the basic unit combination model, which verifies the effectiveness of the model.

[0095] The present invention discloses a method for configuring a maintenance plan for multiple types of generator sets based on a clustered unit combination, the method comprising obtaining regional load data, traditional unit data, hydropower unit data, pumped storage unit data, battery energy storage system data, and wind power photovoltaic unit data of a target power system; according to the obtained regional load data, traditional unit data, hydropower unit data, pumped storage unit data, battery energy storage system data, and wind power photovoltaic unit data, and in combination with a preset multi-type unit maintenance plan configuration optimization model constructed based on clustered unit combination, the maintenance plans of multiple types of units such as traditional thermal power units, hydropower units, and pumped storage units are obtained, and the maintenance plan configuration of the multiple types of units is completed. The unit maintenance plan configuration optimization model includes a traditional thermal power unit, a hydropower unit, a pumped storage unit, a battery energy storage operation model, and a maintenance model of a unit to be maintained. The multi-type unit maintenance configuration method of the present invention takes into account the comprehensiveness of operating cost, maintenance cost, and penalty cost to ensure the reliable operation of the power system within the optimization period.

[0096] Example 2

[0097] See also Figure 4 , Figure 4 Schematic diagram of a computer device in an embodiment of the present invention. In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 4 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. When the computer program is executed by the processor, a method for configuring a maintenance plan for multiple types of units based on an aggregated unit combination is implemented.

[0098] Example 3

[0099] In addition, if Figure 5 As shown, the present invention also provides a multi-type unit maintenance plan configuration system based on clustered unit combination, comprising:

[0100] A data acquisition unit, the data acquisition unit is used to acquire regional load data, traditional unit data, hydropower unit data, pumped storage unit data, battery energy storage system data, and wind power photovoltaic unit data of the target power system;

[0101] A data processing unit, the data processing unit is used to obtain maintenance plans of multiple types of units such as traditional thermal power units, hydropower units, pumped storage units, battery energy storage system data and wind power photovoltaic unit data according to the acquired regional load data, traditional unit data, hydropower unit data, pumped storage unit data, battery energy storage system data and wind power photovoltaic unit data, and in combination with a preset multi-type unit maintenance plan configuration optimization model based on clustering unit combination, wherein the objective function of the optimization model takes the operating cost of each type of unit, the maintenance cost of the unit to be repaired, and the minimum penalty cost for loss of load, abandonment of wind, abandonment of light and abandonment of water as the goal, to obtain maintenance plans of multiple types of units such as traditional thermal power units, hydropower units, pumped storage units, and complete the maintenance plan configuration of the multiple types of units.

[0102] Further, a schematic diagram of a terminal device provided in an embodiment of the present invention. The terminal device of this embodiment includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps in the above-mentioned method embodiments are implemented. Alternatively, when the processor executes the computer program, the functions of each module / unit in the above-mentioned device embodiments are implemented.

[0103] The computer program may be divided into one or more modules / units, and the one or more modules / units are stored in the memory and executed by the processor to accomplish the present invention.

[0104] The terminal device may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0105] The processor can 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 gate or transistor logic devices, discrete hardware components, etc.

[0106] The memory may be used to store the computer programs and / or modules, and the processor implements various functions of the terminal device by running or executing the computer programs and / or modules stored in the memory and calling the data stored in the memory.

[0107] If the module / unit integrated in the terminal device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0108] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for configuring maintenance plans for multiple types of units based on aggregated unit combinations, characterized in that: The following steps are involved: Acquire input information; wherein the input information includes regional load data, traditional unit data, hydropower unit data, pumped storage unit data, battery energy storage system data, and wind power photovoltaic unit data of the target power system; According to the acquired regional load data, traditional unit data, hydropower unit data, pumped storage unit data, battery energy storage system data and wind power photovoltaic unit data, and in combination with the preset multi-type unit maintenance plan configuration optimization model constructed based on clustering unit combination, wherein the objective function of the multi-type unit maintenance plan configuration optimization model constructed based on clustering unit combination takes the operating cost of each type of unit, the maintenance cost of the unit to be repaired, and the penalty cost of load loss, wind abandonment, solar abandonment and water abandonment as the minimum, the maintenance plans of multi-type units such as traditional thermal power units, hydropower units, pumped storage units, etc. are obtained, and the maintenance plan configuration of the multi-type units is completed.

2. According to claim 1, a method for configuring maintenance plans of multiple types of units based on aggregated unit combination is characterized in that: The construction process of the multi-type unit maintenance plan configuration model based on clustering unit combination is as follows: Establish multi-type unit operation models, specifically: based on the actual operation of each unit in the power system, establish a clustered unit combination operation model of traditional thermal power units, a hydropower unit operation model, a pumped storage unit operation model, and a battery energy storage operation model; Establish a maintenance model for the units to be overhauled, specifically: establish maintenance models for thermal power units, hydropower units, and pumped storage units based on the maintenance requirements of different types of units to be overhauled; Establish the optimal economic objective function, specifically: based on the optimal economic objective of the power system as a whole, construct the objective function with the lowest operating cost of each type of unit, the maintenance cost of the units to be repaired, and the penalty cost of load loss, wind abandonment, solar abandonment, and water abandonment; A power system unit maintenance plan configuration model is established based on the multi-type unit operation model, the maintenance model of the unit to be repaired and the economic optimal objective function.

3. The method for configuring maintenance plans of multiple types of units based on aggregated unit combination according to claim 2 is characterized in that: Based on the actual operation of thermal power units in the power system, a clustered unit combination operation model of traditional thermal power units is established. The clustered unit combination operation model of traditional thermal power units is specifically as follows: Among them, t is the time number of the running time; is the minimum technical output of the online installed capacity of aggregated thermal power unit i at time t; is the output of aggregated thermal power unit i at time t; is the online installed capacity of aggregated thermal power unit i at time t; is the maximum output of aggregated thermal power unit i at time t; is the ratio of the maximum starting capacity of aggregated thermal power units to the installed capacity; is the ratio of the maximum upward ramping capacity of the aggregated thermal power units to the installed capacity; is the ratio of the maximum shutdown capacity of aggregated thermal power units to the installed capacity; is the ratio of the maximum downward ramp capacity of the aggregated thermal power units to the installed capacity; SU i,t is the installed capacity of aggregated thermal power unit i started at time t; SD i,t is the installed capacity of aggregated thermal power unit i shut down at time t; T i,on , T i,off are the minimum start-up and shutdown times of aggregate thermal power unit i, respectively; Based on the actual operation of the hydropower units in the power system, a hydropower unit operation model is established. The hydropower operation model is specifically as follows: in, are the minimum technical output and maximum power limit of hydropower unit i respectively; is the real-time output of hydropower unit i at time t; is the amount of water abandoned by hydropower unit i at time t; is the state variable of hydropower unit i at time t, with a value of 1 indicating that the unit is in the on state, and a value of 0 indicating that the unit is in the off state; is the total power distribution of hydropower unit i in week w; is the annual electricity consumption of hydropower unit i.

4. The method for configuring maintenance plans of multiple types of units based on aggregated unit combination according to claim 2 is characterized in that: Based on the actual operation of the pumped storage unit in the power system, an operation model of the pumped storage unit is established. The specific operation model of the pumped storage unit is as follows: in, is the actual pumping power of pumped storage unit i at time t; is the actual pumping power of pumped storage unit i at time t; is the maximum pumping power of pumped storage unit i; is the maximum pumping power of pumped storage unit i; is the pumping state variable of pumped storage unit i at time t, with a value of 1 indicating that the unit is in the pumping state, and a value of 0 indicating that the unit is in the non-pumping state; is the power generation state variable of pumped storage unit i at time t, with a value of 1 indicating that the unit is in a power generation state, and a value of 0 indicating that the unit is in a non-power generation state; is the upstream reservoir capacity of pumped storage unit i at time t; is the lower limit of the upstream reservoir capacity of pumped storage unit i; is the upper limit of the upstream reservoir capacity of pumped storage unit i; is the downstream reservoir capacity of pumped storage unit i at time t; is the lower limit of the downstream reservoir capacity of pumped storage unit i; is the upper limit of the downstream reservoir capacity of pumped storage unit i; η PS,pump is the pumping efficiency of pumped storage unit i; η PS,dch is the power generation efficiency of pumped storage unit i.

5. The method for configuring maintenance plans of multiple types of units based on aggregated unit combination according to claim 2 is characterized in that: Based on the actual operation of battery energy storage in the power system, a battery energy storage operation model is established. The battery energy storage operation model is specifically as follows: in, is the actual charging power of battery energy storage i at time t; is the actual discharge power of battery energy storage i at time t; is the maximum charging power of the battery energy storage i; is the maximum discharge power of battery energy storage i; is the charging state variable of battery energy storage i at time t, a value of 1 indicates that the unit is in a charging state, and a value of 0 indicates that the unit is in a non-charging state; is the discharge state variable of battery energy storage i at time t, a value of 1 indicates that the unit is in a discharge state, and a value of 0 indicates that the unit is in a non-discharge state; is the battery capacity of battery energy storage i at time t; is the minimum state of charge of battery energy storage i; is the maximum state of charge of battery energy storage i; η ES,cha is the charging efficiency of battery energy storage i; η ES,dch is the discharge efficiency of battery energy storage i.

6. The method for configuring maintenance plans of multiple types of units based on aggregated unit combination according to claim 2 is characterized in that: According to the maintenance requirements of different types of units to be overhauled, the maintenance models of thermal power units, hydropower units and pumped storage units are established. The maintenance models of thermal power units, hydropower units and pumped storage units are: Where w is the time number of the maintenance time, in weeks; z i,w is the action state variable of whether the maintenance of generator set i has started at time w. The value of 1 indicates that the generator set has entered the maintenance state at time w, and the value of 0 indicates that the generator set has not entered the maintenance state at time w. i,w is the maintenance state variable of generator set i at time w. A value of 1 indicates that the generator set is in maintenance state at time w, and a value of 0 indicates that the generator set is in normal operation state at time w. i is the number of times generator set i needs maintenance in a year; MT i is the time required for each maintenance of generator set i; MC TG is the number of traditional thermal power units under maintenance at each moment; MC HS is the number of hydropower units under maintenance at each moment; MC PS The number of pumped storage units under maintenance at each moment.

7. The method for configuring maintenance plans of multiple types of units based on aggregated unit combination according to claim 2, characterized in that: Based on the optimal goal of the overall economic efficiency of the power system, an objective function is constructed to minimize the operating costs of various types of units, the maintenance costs of units to be repaired, and the penalty costs for load loss, wind abandonment, solar abandonment, and water abandonment. The economic objective function is: min C=C TG +C ES +C PS +C MA +C PEN Where C is the economic cost of the whole system in a given research period; C TG is the operating cost of traditional thermal power units in the given research period; C ES is the operating cost of battery energy storage in a given research period; C PS is the operating cost of the pumped storage unit in the given research period; C MA is the unit maintenance cost within the given research period; C PEN is the penalty cost for load loss, wind power curtailment, solar power curtailment and water curtailment during a given study period; is the unit operating cost of traditional thermal power units; The startup cost of traditional thermal power units; The shutdown cost of traditional thermal power units; Cost of charging a unit of battery energy storage; is the unit discharge cost of battery energy storage; is the unit pumping cost of the pumped storage unit; c L is the penalty cost per unit load loss; c CW is the penalty cost for unit wind curtailment; c CPV is the unit abandonment penalty cost; c CH is the penalty cost per unit of abandoned water; ΔD i,t is the actual load loss power in area i at time t; is the actual abandoned wind power of wind turbine i at time t; is the actual abandoned power of PV unit i at time t; is the actual abandoned water power of hydropower unit i at time t; c TG,main is the unit maintenance cost of traditional thermal power units; c PS,main is the unit maintenance cost of the pumped storage unit; c H,main is the unit maintenance cost of the hydropower unit.

8. A multi-type unit maintenance plan configuration system based on clustering unit combination, characterized in that: include: A data acquisition unit, the data acquisition unit is used to acquire regional load data, traditional unit data, hydropower unit data, pumped storage unit data, battery energy storage system data, and wind power photovoltaic unit data of the target power system; A data processing unit, the data processing unit is used to obtain maintenance plans of multiple types of units such as traditional thermal power units, hydropower units, pumped storage units, battery energy storage system data and wind power photovoltaic unit data according to the acquired regional load data, traditional unit data, hydropower unit data, pumped storage unit data, battery energy storage system data and wind power photovoltaic unit data, and in combination with a preset multi-type unit maintenance plan configuration optimization model based on clustering unit combination, wherein the objective function of the optimization model takes the operating cost of each type of unit, the maintenance cost of the unit to be repaired, and the minimum penalty cost for loss of load, abandonment of wind, abandonment of light and abandonment of water as the goal, to obtain maintenance plans of multiple types of units such as traditional thermal power units, hydropower units, pumped storage units, and complete the maintenance plan configuration of the multiple types of units.

9. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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