CN116454876A - Combined control method, device, equipment and medium for hydroelectric generating set in electric power market - Google Patents

Combined control method, device, equipment and medium for hydroelectric generating set in electric power market Download PDF

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CN116454876A
CN116454876A CN202310419637.3A CN202310419637A CN116454876A CN 116454876 A CN116454876 A CN 116454876A CN 202310419637 A CN202310419637 A CN 202310419637A CN 116454876 A CN116454876 A CN 116454876A
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unit combination
water
cost value
combination model
constraint
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CN116454876B (en
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彭超逸
胡荣
周华锋
胡亚平
马光
禤培正
徐赫锴
项俊豪
饶倩雯
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China Southern Power Grid Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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    • H02J3/008Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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    • H02J2203/10Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
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    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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Abstract

The application relates to a combined control method, a device, equipment and a medium of an electric power market hydroelectric generating set. The method comprises the following steps: determining a water discarding estimated cost value and a target safety constraint unit combination model according to basic data of an electric power market, wherein the target safety constraint unit combination model is obtained by updating an initial safety constraint unit combination model through the water discarding estimated cost value; according to the target safety constraint unit combination model, determining a unit combination plan when the difference value between the total power generation cost value and the discarded water estimated cost value of the power market is minimum; and clearing the units in the power system according to the unit combination plan. The method can be used for quickly controlling the combined water-abandoning cost-considered hydroelectric generating set in the electric power market.

Description

Combined control method, device, equipment and medium for hydroelectric generating set in electric power market
Technical Field
The application relates to the technical field of power systems, in particular to a combined control method, a device, equipment and a medium of a hydroelectric generating set in an electric power market.
Background
With the gradual advancement of power market construction, the modes of traditional power dispatching and power generation planning are changing, and a safety constraint unit combination (security constrained unit commitment, SCUC) is a core link for planning a real-time power generation plan in the power market environment in the future, and aims to minimize the cost of a power generation side or maximize the full social benefit, comprehensively considers constraint conditions such as power supply and demand balance, unit physical characteristics, power grid safety and the like, optimizes and calculates the unit combination, and solves the unit combination plan.
In order to relieve energy resource constraint and ecological environment pressure, the cascade hydropower is used as a power grid power supply and a battery regulator to participate in electric power marketing transaction, so that the consumption of surplus electric quantity can be promoted, and the efficient configuration of resources is realized. However, in the rapid development process of cascade hydropower, the serious problem of water abandon still exists, and the utilization rate of hydropower resources is low. In order to increase the consumption of hydropower energy, in the process of discharging the electricity spot market, the safety constraint unit combination of step hydropower needs to be combined with the water discarding cost and the power generation side cost, and the unit combination plan is optimized, so that the hydropower unit combination in the electricity spot market is reasonably controlled.
However, the electric power spot market clearing model combined with the water discarding cost is low in solving efficiency, and the combined control optimization of the electric power market hydroelectric generating set is difficult to complete in a reasonable time, so that the generation plan is delayed, and the development of electric power spot market clearing business is difficult to support.
Disclosure of Invention
Based on the above, it is necessary to provide a combined control method, device, equipment and medium of an electric power market hydroelectric generating set, which can rapidly optimize the electric power market considering the water discarding cost.
In a first aspect, the present application provides a combined control method for an electric utility water and electricity generating set. The method comprises the following steps:
Determining a water-discarding estimated cost value and a target safety constraint unit combination model according to basic data of an electric power market, wherein the target safety constraint unit combination model is obtained by updating an initial safety constraint unit combination model through the water-discarding estimated cost value;
according to the target safety constraint unit combination model, determining a unit combination plan when the difference value between the total power generation cost value and the discarded water estimated cost value of the power market is minimum;
and controlling the water motor group combination in the electric power system according to the unit combination plan.
In one embodiment, determining a water discard estimated cost value from base data of an electric power market includes:
constructing an initial safety constraint unit combination model according to the basic data, and eliminating a first constraint condition in the initial safety constraint unit combination model to obtain a first safety constraint unit combination model;
determining a pre-clearing result according to the first safety constraint unit combination model, wherein the pre-clearing result is the output plan of each unit, the start-stop plan of each unit and the water-discarding electric quantity of each hydroelectric unit when the total power generation cost value of the electric power market is minimum;
and obtaining the estimated cost value of the abandoned water according to the pre-cleaning result.
In one embodiment, the method further comprises:
Removing the discarded water estimated cost value from the objective function of the initial safety constraint unit combination model to obtain an updated objective function;
and constructing a target safety constraint unit combination model according to the updated target function.
In one embodiment, according to the safety constraint unit combination model, determining a unit combination plan when a difference between a total power generation cost value and a discarded water estimated cost value of the electric power market is minimum, includes:
setting an initial solution of a target safety constraint unit combination model through a pre-clearing result;
and carrying out hot start on the target safety constraint unit combination model according to the initial solution so as to determine a unit combination plan when the difference value between the total power generation cost value and the discarded water estimated cost value of the electric power market is minimum.
In one embodiment, an initial safety restraint unit combination model is constructed according to basic data, and a first constraint condition in the initial safety restraint unit combination model is removed to obtain a first safety restraint unit combination model, which comprises the following steps:
obtaining boundary conditions of unit operation and grid operation of the electric power market through the basic data;
and constructing a first safety restraint unit combination initial model through boundary conditions.
In one embodiment, the base data includes at least one of a component operating assembly of an electric utility market, a day-ahead plan, a safety check constraint, grid load information, and reservoir hydropower plant information.
In a second aspect, the application also provides a combined control device of the hydroelectric generating set in the electric power market. The device comprises:
the construction module is used for determining a water discarding estimated cost value and a target safety constraint unit combination model according to basic data of the electric power market, and the target safety constraint unit combination model is obtained by updating the initial safety constraint unit combination model through the water discarding estimated cost value;
the determining module is used for determining a unit combination plan when the difference value between the total power generation cost value and the discarded water estimated cost value of the power market is minimum according to the target safety constraint unit combination model;
and the control module is used for controlling the water motor group combination in the electric power system according to the unit combination plan.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory and a processor, the memory stores a computer program, and the processor executes the computer program to realize the following steps:
determining a water-discarding estimated cost value and a target safety constraint unit combination model according to basic data of an electric power market, wherein the target safety constraint unit combination model is obtained by updating an initial safety constraint unit combination model through the water-discarding estimated cost value;
According to the target safety constraint unit combination model, determining a unit combination plan when the difference value between the total power generation cost value and the discarded water estimated cost value of the power market is minimum;
and controlling the water motor group combination in the electric power system according to the unit combination plan.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
determining a water-discarding estimated cost value and a target safety constraint unit combination model according to basic data of an electric power market, wherein the target safety constraint unit combination model is obtained by updating an initial safety constraint unit combination model through the water-discarding estimated cost value;
according to the target safety constraint unit combination model, determining a unit combination plan when the difference value between the total power generation cost value and the discarded water estimated cost value of the power market is minimum;
and controlling the water motor group combination in the electric power system according to the unit combination plan.
In a fifth aspect, the present application also provides a computer program product. The computer program product, including a computer program, the computer program when executed by a processor performs the steps of:
Determining a water-discarding estimated cost value and a target safety constraint unit combination model according to basic data of an electric power market, wherein the target safety constraint unit combination model is obtained by updating an initial safety constraint unit combination model through the water-discarding estimated cost value;
according to the target safety constraint unit combination model, determining a unit combination plan when the difference value between the total power generation cost value and the discarded water estimated cost value of the power market is minimum;
and controlling the water motor group combination in the electric power system according to the unit combination plan.
According to the combined control method, the device, the equipment and the medium of the electric power market hydroelectric generating set, the water discarding estimated cost value is determined according to the basic data of the electric power market, the initial safety constraint set combination model is updated through the water discarding estimated cost value, the target safety constraint set combination model is obtained, the difference value between the total power generation cost value of the electric power market and the water discarding estimated cost value is used as a constraint target by the target safety constraint set combination model, in the process of solving the target safety constraint set combination model, namely, a set combination plan when the difference value between the total power generation cost value of the electric power market and the water discarding estimated cost value is minimum is determined according to the target safety constraint set combination model, wherein the total power generation cost value of the electric power market comprises a set running cost value, a section constraint relaxation punishment cost value and the water discarding cost value, and the decision variable set combination plan obtained by solving the target safety constraint set combination model is used for controlling water motor sets in an electric power system. In the power market clearing model considering the water discarding cost, such as an initial safety constraint unit combination model, which is usually a mixed integer model, in the power market clearing solving, as each part of the constraint target of the initial safety constraint unit combination model is at different level, for example, the water discarding cost value is 10-100 times of other costs, on one hand, the solving efficiency of the linear programming problem after the mixed integer linear model is relaxed is greatly reduced, on the other hand, the solving of the solver is influenced by the overhigh water discarding cost, and problems such as power flow out-of-limit and unit power generation cost deviation actual situation can be caused. Compared with the traditional technology, the constraint target is reduced by adopting a mode of reducing the water discarding punishment factor, the water discarding cost is easy to generate, and the water discarding punishment factor is unacceptable under the actual service condition; and the traditional technology adopts a mode of increasing the solving precision to obtain a more accurate solving result, the problem that the solving precision is often caused by overlong solving time and even the calculation of a clear model cannot be completed in a reasonable time is solved, the method of the application determines the water discarding estimated cost value through the basic data of an electric power market, the constraint target of the initial safety constraint unit combination model is poor with the water discarding estimated cost value, namely the minimum value of the unit operation cost value, the section constraint relaxation penalty cost value and the difference between the water discarding cost value and the water discarding estimated cost value is used as the constraint target, the target safety constraint unit combination model is constructed, and the units operation cost value, the section constraint relaxation penalty cost value and the water discarding estimated cost value are made poor, so that all parts of the constraint target of the target safety constraint unit combination model are in the same magnitude, and the restraint target safety constraint unit combination model is ensured to be in a reasonable range. When the target safety constraint unit combination model is solved, namely, when a unit combination plan with the minimum difference between the total power generation cost value and the water discard estimated cost value of the power market is determined according to the target safety constraint unit combination model, the solving speed of the relaxation problem is accelerated, and the solution with high quality can be solved in a reasonable time, so that the water motor group combination in the power market considering the water discard cost can be controlled rapidly, the development of the clear business in the power spot market can be supported, and the reliability is high.
Drawings
FIG. 1 is an application environment diagram of a combined control method of an electric utility generator set in an embodiment;
FIG. 2 is a flow chart of a method of combined control of an electric utility generator set in an embodiment;
FIG. 3 is a schematic flow chart of determining estimated cost of discarded water in one embodiment;
FIG. 4 is a schematic flow chart of a unit combination plan for determining that the difference between the total generation cost value and the estimated cost value of the discarded water is minimum in another embodiment;
FIG. 5 is a flow chart of a method of combined control of an electric utility generator set in another embodiment;
FIG. 6 is a block diagram of a combined control of an electric utility generator set in an embodiment;
fig. 7 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The combined control method of the hydroelectric generating set in the electric power market provided by the embodiment of the application can be applied to an application environment shown in figure 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The data storage system is used for storing basic data of the power market. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.
In one embodiment, as shown in fig. 2, there is provided a combined control method of a hydroelectric generating set in an electric power market, which is described by taking an example that the method is applied to a server in fig. 1, and includes the following steps:
and 202, determining a water discarding estimated cost value and a target safety constraint unit combination model according to basic data of the electric power market.
The electric power market is a trading mechanism for providing electric power services in a market trading mode by market main bodies of power generation enterprises and the like, mainly comprises real-time electric energy trading in the daytime, and forms a time-sharing market price through competition, and auxiliary service trading such as frequency modulation, standby and the like is carried out in a matched mode.
As the reform of the electric power market is deepened, the electric power market is clear and needs to further deeply consider numerous business scenes and business logics in the actual power grid. Under the current electric power market environment, the construction of a large-scale hydropower system is gradually perfected, and a large-scale and medium-scale hydropower station with a river basin step gradually becomes a main competition body. When the winning amount of electricity of the upstream water power station is more, the winning amount of electricity of the downstream water power station is less or not winning, the downstream water power station is forced to discard water easily, and a large amount of resource waste is caused. Based on the above, in order to meet the clearing rules of the actual electric power market and reduce the water discarding cost as much as possible, a complex business scene needs to be described in the regional large-scale electric power market clearing model, and a large number of integer variables are introduced. The constraint target of the safety constraint unit combination model considering the cascade hydropower usually considers the water discarding cost and the section constraint relaxation penalty cost on the basis of the unit operation cost.
The water discarding cost is usually the product of the water discarding electric quantity and a preset water discarding penalty factor, the water discarding electric quantity refers to the electric quantity which can be used for generating electricity under the power generating capacity of the hydropower station, but is not actually used for generating electricity due to various reasons, and the water discarding penalty factor is taken as a weight and is also taken into a constraint target of a model, so that the water discarding cost of hydropower energy is reduced as much as possible when the water discarding cost is clear, and the maximum consumption of hydropower energy is ensured.
The method comprises the steps that an electric power market clearing model with water discarding cost is taken as an initial safety constraint unit combination model, the initial safety constraint unit combination model takes the total electric power market generating cost as a constraint target, the total electric power market generating cost comprises unit operation cost, water discarding cost and section constraint relaxation punishment cost, and the unit operation cost comprises unit generating cost and unit start-stop cost; the initial safety constraint unit combination model takes the forward and reverse tide relaxation variables of each unit output plan, each unit start-stop plan and section and the water discarding amount of each water motor unit as decision variables; the initial safety constraint unit combination model takes system constraint, tide constraint and hydropower constraint as constraint conditions.
Illustratively, the constraint objective of the initial safety restraint set combination model may be expressed as:
wherein the method comprises the steps ofWhere N represents the total number of units, T represents the total number of time periods considered, T is 96, M is the total number of units quoted, P, assuming 96 time periods are considered a day i,t,m For the winning power of the unit i in the mth output section of the t period, P i,t Indicating that the output of the unit i in the period t is equal to Energy price corresponding to the mth output section of the section declaration, < >>For the single start-up cost of unit i, eta i,t For the unit i to switch to the starting state in the period t, eta i,t =1 indicates that the unit is switched to the start state, η i,t =1 indicates that the state of the unit is unchanged, M s Section constraint relaxation penalty factor for market clearing optimization, +.>Respectively the forward and reverse power flow relaxation variables of the section s; NS is the total number of sections, Ω H For the assembly of hydroelectric generating sets->For the water discarding electric quantity of the hydroelectric generating set i in the period t, M H The penalty factor is for discarding water.
The initial safety restraint unit combination model is usually a mixed integer model, and various parts of restraint targets, namely unit operation cost, water discarding cost and section restraint relaxation punishment cost, are usually at different magnitude levels, for example, the water discarding cost in summer flood period can be 10-100 times of other costs. In the clear solving process of the initial safety constraint unit combination model, the solving efficiency of the linear programming problem after the mixed integer linear model is relaxed is greatly reduced because the water discarding cost and other costs are in different orders; in addition, when the solver is adopted to solve the problem, due to the existence of convergence Gap parameters, the solver is influenced by excessive water discarding cost during solving the problem, and the power flow out-of-limit and the generating cost of the unit deviate from the actual situation can be caused.
According to the embodiment of the application, the estimated cost value of the abandoned water is firstly determined according to the basic data of the electric power market, wherein the estimated cost value of the abandoned water is the estimated value of the abandoned water cost. And updating the initial safety restraint unit combination model through the discarded water estimated cost value to obtain the target safety restraint unit combination model.
The constraint target of the initial safety constraint unit combination model is subjected to difference between the constraint target and the water abandon estimated cost value, so that the constraint target of the target safety constraint unit combination model is obtained, namely, the minimum value of the difference between the total power generation cost value of the electric power market and the water abandon estimated cost value is taken as the constraint target, and the system constraint, the tide constraint and the hydropower constraint are taken as constraint conditions, so that the target safety constraint unit combination model is established.
Illustratively, the constraint targets of the target safety constraint set combination model may be expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,is the running cost value of the unit,punishment cost value for section constraint relaxation, +.>The cost value of the discarded water is A, and the cost value of the discarded water is estimated.
And 204, determining a unit combination plan when the difference value between the total power generation cost value and the discarded water estimated cost value of the electric power market is minimum according to the target safety constraint unit combination model.
The total power generation cost value of the electric power market comprises a unit operation cost value, a water discarding cost value and a section constraint relaxation punishment cost value. And (3) taking the difference between the total power generation cost value and the water-discarding estimated cost value of the power market as a target, and taking the system constraint, the tide constraint and the hydropower constraint as constraint conditions to determine a unit combination plan, wherein the unit combination plan comprises an output plan of each unit, a start-stop plan of each unit, forward and reverse tide relaxation variables of a section and water-discarding electric quantity of each water motor unit.
The constraint target of the target safety constraint unit combination model is obtained by subtracting the discarded water estimated cost value from the constraint target of the initial safety constraint unit combination model, so that all parts of the constraint target of the target safety constraint unit combination model are in the same magnitude, and the constraint target is ensured to be in a reasonable range. When the target safety constraint unit combination model is solved, namely, when a unit combination plan with the minimum difference between the total power generation cost value and the discarded water estimated cost value of the power market is determined according to the target safety constraint unit combination model, the solving speed of the relaxation problem is accelerated, and a high-quality solution can be obtained in a reasonable time. Because the constraint targets are within a reasonable range, the relaxation problem at each node can be effectively solved when a branch-and-bound algorithm is adopted.
In one implementation, the system constraints of the target safety constraint unit combination model include a system load balance constraint, a system positive reserve capacity constraint, a system negative reserve capacity constraint, and a unit output upper and lower limit constraint.
The system load balancing constraints can be expressed as:
wherein P is i,t The output of the unit i in the period t is represented; d (D) t Is the system load of the t period.
The positive standby capacity constraint of the system refers to that a certain level of capacity standby is needed to be reserved for preventing the system load prediction deviation and supply-demand imbalance fluctuation caused by various actual operation accidents under the condition of ensuring the power balance of the whole power system, and can be expressed as:
wherein alpha is i,t Indicating the start-stop state of the unit i in the period t, alpha i,t =0 indicates that the machine unit is stopped, α i,t =1 indicates that the unit is turned on;maximum output of the unit i in the period t; />The system is back-up capacity for period t.
The system negative spare capacity constraint may be expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,the minimum output of the unit i in the period t is set; />The system for period t is negative of the spare capacity requirement.
The set output upper and lower limit constraints can be expressed as:
wherein, if the machine set is stopped, alpha i,t =0, then the unit output can be defined as 0 by this constraint; if the machine set is started, alpha i,t =1, which is a conventional upper and lower force limit constraint.
In one implementation, the tidal current constraints of the target safety restraint set combination model may be expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,the power flow transmission limits of sections s, G s-i For the generator output power transfer distribution factor of the section s of the node where the unit i is positioned, G s-j Generator output power transfer distribution factor G for section s of node pair where tie line j is located s-k Generator output power transfer distribution factor for node k versus section s, +.>The forward and reverse power flow relaxation variables of the section s are respectively.
In one implementation, the hydropower constraints of the target safety restraint set combination model include a water discard electric quantity judgment constraint and a hydropower level control constraint.
The water cut electric quantity determination constraint can be expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,for the water discarding electric quantity of the hydroelectric generating set i in the period t, P i,max For the unit capacity of hydroelectric power i, P i,t For the force of hydro-power i in period t, +.>For the water reject flow of the water power i in the period t, h i For the water consumption rate of the hydropower i, M is a positive number which is large enough, alpha i Is a variable of 0-1, when->When alpha is i =1; when->When alpha is i =0。
In hydropower level control constraints, for convenience of modeling, this scheme assumes: in the period of day-ahead clearing, the water consumption rate of the hydropower station and the water surface area of the reservoir are unchanged; the drainage flow of the superior hydropower station does not affect the lag time between hydropower stations before the day, and the hydropower level control constraint can be expressed as:
wherein, the liquid crystal display device comprises a liquid crystal display device,the upper and lower limits of the water level requirement of the hydropower station i are set at the end of the period t; h is a i The water consumption rate of the hydropower station i; s is S i Representing the water surface area of a reservoir of the hydropower station i; i i,τ Representing the natural inflow of hydropower station i in period tau; the parameters can be obtained through a water regulating system; z is Z i,0 The initial water level of the hydropower station i at the next day zero is obtained through a market operation mechanism system; up (i) and s (i) respectively represent an upstream hydropower station and an upstream lag time of the hydropower station i; p (P) i,τ 、/>The output and reject flow of hydropower station i during period tau are indicated. Q (Q) up(i),t-s(i) 、/>The power generation flow and the water reject flow of an upstream water power station up (i) of the hydropower station i in a period t-s (i) respectively.
And 206, controlling the water motor group combination in the electric power system according to the group combination plan.
The unit combination plan comprises an output plan of each unit, a start-stop plan of each unit, forward and reverse power flow relaxation variables of a section and water discarding electric quantity of each water motor unit. After the unit combination plan is obtained, the hydroelectric unit combination is controlled according to the output plan of the hydroelectric unit, the start-stop plan of the hydroelectric unit and the water discarding electric quantity of the hydroelectric unit.
According to the combined control method of the electric power market hydroelectric generating set, the water discarding estimated cost value is determined according to the basic data of the electric power market, the initial safety constraint set combination model is updated through the water discarding estimated cost value, the target safety constraint set combination model is obtained, the difference value between the total power generation cost value of the electric power market and the water discarding estimated cost value is used as a constraint target, in the process of solving the target safety constraint set combination model, namely, a set combination plan when the difference value between the total power generation cost value of the electric power market and the water discarding estimated cost value is minimum is determined according to the target safety constraint set combination model, wherein the total power generation cost value of the electric power market comprises a set running cost value, a section constraint relaxation punishment cost value and the water discarding cost value, and then the water motor set combination in the electric power system is controlled according to the decision variable set combination plan obtained by solving the target safety constraint set combination model. In the power market clearing and solving process, as various parts of constraint targets of the initial safety constraint unit combination model are at different level, for example, the water discarding cost value can be 10-100 times of other costs, on one hand, the solving efficiency of the linear programming problem after the relaxation of the mixed integer linear model is greatly reduced, and on the other hand, the solving process of the solver is influenced by the excessive water discarding cost, and problems such as power flow overrun, unit power generation cost deviation actual situation and the like can be caused. The traditional technology generally adopts a mode of reducing the water discarding penalty factor to reduce the constraint target, but the mode is easy to generate water discarding cost and is unacceptable under the actual service condition; the traditional technology also adopts a mode of increasing the solving precision to obtain a more accurate solving result, however, increasing the solving precision often leads to overlong solving time and even can not finish the calculation of the clear model in reasonable time. According to the method, the device and the system, the water discarding estimated cost value is determined through basic data of an electric power market, the constraint target of the initial safety constraint unit combination model is made to be poor with the water discarding estimated cost value, namely, the minimum value of the difference between the unit operation cost value, the section constraint relaxation punishment cost value and the water discarding estimated cost value is used as the constraint target, the target safety constraint unit combination model is built, and the unit operation cost value, the section constraint relaxation punishment cost value and the water discarding estimated cost value are made to be poor, so that all parts of the constraint target of the target safety constraint unit combination model are in the same magnitude, and the fact that the parts are in a reasonable range is guaranteed. When the target safety constraint unit combination model is solved, namely, when a unit combination plan with the minimum difference between the total power generation cost value and the discarded water estimated cost value of the power market is determined according to the target safety constraint unit combination model, the solving speed of the relaxation problem is accelerated, and a high-quality solution can be obtained in a reasonable time, so that the hydroelectric unit combination control and the clearing optimization can be rapidly carried out on the power market considering the discarded water cost.
In one embodiment, the base data for the electric power market may include unit operations, day-ahead plans, safety check constraints, grid load information, and reservoir hydropower plant information for the electric power market reported by the various levels of electric power dispatching authorities.
According to the embodiment, the construction of the water abandon estimated cost value and the target safety constraint unit combination model is determined by acquiring the basic data of the electric power market reported by each level of electric power dispatching mechanism.
In one embodiment, as shown in FIG. 3, determining the estimated cost of water discard from the base data of the power market includes:
and 302, constructing an initial safety constraint unit combination model according to the basic data, and eliminating a first constraint condition in the initial safety constraint unit combination model to obtain a first safety constraint unit combination model.
Illustratively, basic data of the electric power market, such as machine components, daily plans, safety check constraints, grid load information and reservoir hydropower plant information of the electric power market reported by each level of electric power dispatching institutions, are obtained. And constructing an initial safety restraint unit combination model according to the basic data.
The initial safety constraint unit combination model takes the total power generation cost of the electric power market as a constraint target, wherein the total power generation cost of the electric power market comprises unit operation cost, water discarding cost and section constraint relaxation punishment cost, and the unit operation cost comprises unit power generation cost and unit start-stop cost; the initial safety constraint unit combination model takes the forward and reverse tide relaxation variables of each unit output plan, each unit start-stop plan and section and the water discarding amount of each water motor unit as decision variables; the initial safety constraint unit combination model takes system constraint, tide constraint and hydropower constraint as constraint conditions.
In one implementation, after the initial safety constraint unit combination model is obtained, removing the tide constraint in the initial safety constraint unit combination model to obtain a first safety constraint unit combination model. The first safety constraint unit combination model is a safety constraint unit combination model which does not comprise tide constraint, takes the total power generation cost of an electric power market as a constraint target, takes forward and reverse tide relaxation variables of each unit output plan, each unit start-stop plan and section and the water discarding quantity of each water motor unit as decision variables, and takes system constraint and hydropower constraint as constraint conditions.
And 304, determining a pre-clearing result according to the first safety restraint unit combination model.
The pre-clearing result is the output plan of each unit, the start-stop plan of each unit, forward and reverse trend relaxation variables of the section and the water-discarding electric quantity of each water motor unit when the total power generation cost value of the electric power market is minimum, which are determined according to the first safety constraint unit combination model.
The first safety constraint unit combination model obtained by removing the tide constraint can be quickly pre-cleared to obtain a pre-cleared result, and the calculation efficiency is high, so that the method is relatively in accordance with engineering application. And because the water discarding cost is generally higher in magnitude than other costs, and the power flow constraint is associated with the section constraint relaxation punishment cost, the water discarding electric quantity of each hydroelectric generating set calculated by a model without considering the power flow constraint is basically consistent with the water discarding electric quantity of each hydroelectric generating set calculated by the power flow constraint.
And step 306, obtaining the estimated cost value of the abandoned water according to the pre-cleaning result.
Bringing the discarded water electric quantity of each water motor unit in the pre-clearing result into a discarded water cost valueThe estimated cost value of the abandoned water can be obtained.
In this embodiment, by removing the power flow constraint in the initial safety constraint unit combination model, a first safety constraint unit combination model is obtained, the first safety constraint unit combination model is a safety constraint unit combination model not including the power flow constraint, the water-discarding electric quantity of each water motor unit when the total power generation cost value of the electric power market is minimum is obtained through the safety constraint unit combination model not including the power flow constraint, and the water-discarding estimated cost value is obtained through the water-discarding electric quantity of each current water motor unit. The method is high in calculation efficiency, accords with engineering application, can quickly determine the water discarding estimated cost, and ensures certain accuracy while quickly acquiring the water discarding estimated cost because the water discarding cost is generally higher than other costs and the power flow constraint is associated with the section constraint relaxation punishment cost, so that the water discarding electric quantity of each hydroelectric generating set calculated by a model without considering the power flow constraint is basically consistent with the water discarding electric quantity of each hydroelectric generating set calculated by the model with the power flow constraint.
In one embodiment, an initial safety restraint unit combination model is constructed according to basic data, and first constraint conditions in the initial safety restraint unit combination model are removed to obtain a first safety restraint unit combination model, which comprises the following steps: obtaining boundary conditions of unit operation and grid operation of the electric power market through the basic data; and constructing a first safety restraint unit combination initial model through boundary conditions.
The method comprises the steps of obtaining boundary conditions of unit operation and grid operation of an electric power market through basic data of the electric power market, determining non-decision variables such as parameters or fixed values in an initial safety constraint unit combination model according to the boundary conditions, constructing the initial safety constraint unit combination model, and eliminating tide constraints to obtain a first safety constraint unit combination initial model.
According to the embodiment, boundary conditions of unit operation and grid operation of the electric power market are obtained through basic data, and a first safety constraint unit combination initial model is built through the boundary conditions, so that non-decision variables required by a built model are obtained according to the basic data of the electric power market.
In one embodiment, the combined control method of the hydroelectric generating set in the electric power market further comprises the steps of removing the discarded water estimated cost value from the objective function of the combined model of the initial safety constraint unit to obtain an updated objective function; and constructing a target safety constraint unit combination model according to the updated target function.
In the embodiment, the cost value of the discarded water estimation is removed from the objective function of the initial safety constraint unit combination model, so that an updated objective function is obtained; and constructing a target safety constraint unit combination model according to the updated objective function, and taking the updated objective function as a constraint target of the target safety constraint unit combination model, so that the objective function for solving is in a reasonable range, the solving speed is increased, and a high-quality solving result is provided.
In one embodiment, as shown in fig. 4, according to the safety constraint unit combination model, determining a unit combination plan when a difference between a total generation cost value and a discarded water estimated cost value of an electric power market is minimum includes:
step 402, setting an initial solution of the target safety restraint unit combination model through a pre-clearing result.
The pre-clearing result is the output plan of each unit, the start-stop plan of each unit, forward and reverse power flow relaxation variables of the section and the water discarding electric quantity of each water motor unit when the total power generation cost value of the electric power market is minimum, which are determined according to the first safety constraint unit combination model.
The method comprises the steps that after power flow constraint is removed, a first safety constraint unit combination model is obtained, a pre-clearing result can be obtained rapidly according to the first safety constraint unit combination model, when a unit combination plan with the smallest difference between the total power generation cost value and the discarded water estimated cost value of the electric power market is obtained according to a target safety constraint unit combination model, the pre-clearing result can be used as an initial solution of the target safety constraint unit combination model, so that solving speed is further improved, and finally, the clearing result is obtained in a reasonable time range.
And step 404, performing hot start on the target safety constraint unit combination model according to the initial solution to determine a unit combination plan when the difference between the total generation cost value and the discarded water estimated cost value of the electric power market is minimum.
Illustratively, a commercial solver (Gurobi, cplex) may be used to set an initial solution of the target safety restraint set combination model by pre-clearing results for a hot start to further speed up the solution, and finally obtain the clearing results in a reasonable time range.
According to the method, the initial solution of the target safety constraint unit combination model is set through the pre-clearing result, the target safety constraint unit combination model is subjected to hot start according to the initial solution, so that a unit combination plan when the difference value between the total power generation cost value and the discarded water estimated cost value of the electric power market is minimum is determined, and the solving efficiency of the target safety constraint unit combination model can be further accelerated through hot start.
In one embodiment, as shown in fig. 5, there is provided a combined control method of an electric power market hydroelectric generating set, including:
step 502, an initial safety restraint unit combination model is constructed.
Illustratively, basic data of the electric power market, such as machine components, daily plans, safety check constraints, grid load information and reservoir hydropower plant information of the electric power market reported by each level of electric power dispatching institutions, are obtained. And determining boundary conditions of the electric power market unit operation and the power grid operation according to the basic data, and constructing an initial safety constraint unit combination model.
And step 504, removing the tide constraint based on the initial safety constraint unit combination model to obtain a first safety constraint unit combination model.
And step 506, determining a pre-clearing result through the first safety restraint unit combination model and acquiring a discarded water cost estimation amount.
And step 508, updating the objective function of the initial safety restraint unit combination model through the water abandon cost estimator to obtain the objective safety restraint unit combination model.
And 510, performing hot start on the target safety constraint unit combination model based on the pre-clearing result, and acquiring a unit combination plan when the difference between the total power generation cost value and the discarded water estimated cost value of the electric power market is minimum.
Step 512, controlling the water motor group combination in the electric power system through the group combination plan.
In one implementation, table 1 is a comparison of run times before and after improvement, where before improvement is the time to directly invoke a business solver (Gurobi) to solve the initial security constraint set combination model, after improvement steps 502 through 510 are taken, and the solution time of the business solver (Gurobi) is invoked. Therefore, the embodiment of the application achieves a remarkable accelerating effect on the solving efficiency by updating the target safety constraint unit combination model constructed by the target function and the hot start, and the total solving efficiency is improved by about fifty percent.
Table 1 comparison of run time before and after improvement
Before improvement After improvement
Run time 489 seconds 256 seconds
According to the embodiment, mathematical constraint description is realized for water level control of the actually-operated hydropower plant, the integrity of market rules is improved, and the objective function of the initial safety constraint unit combination model is updated by solving the estimated quantity of the water discarding cost, so that the objective function of the objective safety constraint unit combination model is in a reasonable range, on one hand, the solving speed of a relaxation problem is accelerated, on the other hand, high-quality solution can be obtained in a reasonable time, and further, the solving efficiency of the model after the objective function is updated by hot start acceleration is improved.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a combined control device of the electric power market hydroelectric generating set for realizing the combined control method of the electric power market hydroelectric generating set. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiment of the combined control device of one or more electric power market hydroelectric generating sets provided below may be referred to the limitation of the combined control method of the electric power market hydroelectric generating set hereinabove, and will not be repeated here.
In one embodiment, as shown in fig. 6, there is provided a combined control apparatus of an electric power market hydroelectric generating set, comprising: a construction module 602, a determination module 604, and a control module 606, wherein:
the construction module 602 is configured to determine a water-curtailed estimated cost value and a target safety constraint unit combination model according to basic data of the electric power market, where the target safety constraint unit combination model is obtained by updating an initial safety constraint unit combination model by the water-curtailed estimated cost value.
And the determining module 604 is used for determining a unit combination plan when the difference value between the total power generation cost value and the discarded water estimated cost value of the electric power market is minimum according to the target safety constraint unit combination model.
And the control module 606 is used for controlling the water motor group combination in the electric power system according to the unit combination plan.
In one embodiment, the building module 602, when performing the determination of the discard water estimation cost value from the base data of the power market, is further configured to: constructing an initial safety constraint unit combination model according to the basic data, and eliminating a first constraint condition in the initial safety constraint unit combination model to obtain a first safety constraint unit combination model; determining a pre-clearing result according to the first safety constraint unit combination model, wherein the pre-clearing result is the output plan of each unit, the start-stop plan of each unit and the water-discarding electric quantity of each hydroelectric unit when the total power generation cost value of the electric power market is minimum; and obtaining the estimated cost value of the abandoned water according to the pre-cleaning result.
In one embodiment, the build module 602 is further configured to: removing the discarded water estimated cost value from the objective function of the initial safety constraint unit combination model to obtain an updated objective function; and constructing a target safety constraint unit combination model according to the updated target function.
In one embodiment, the determining module 604, when executing the crew combination plan that determines that the difference between the total power generation cost value and the discard estimated cost value of the power market is minimal according to the safety constraint crew combination model, is further configured to: according to the safety constraint unit combination model, determining a unit combination plan when the difference value between the total power generation cost value and the discarded water estimated cost value of the power market is minimum, wherein the unit combination plan comprises: setting an initial solution of a target safety constraint unit combination model through a pre-clearing result; and carrying out hot start on the target safety constraint unit combination model according to the initial solution so as to determine a unit combination plan when the difference value between the total power generation cost value and the discarded water estimated cost value of the electric power market is minimum.
In one embodiment, the construction module 602, when executing the construction of the initial safety restraint assembly model according to the basic data, eliminates the first constraint condition in the initial safety restraint assembly model to obtain the first safety restraint assembly model, is further configured to: obtaining boundary conditions of unit operation and grid operation of the electric power market through the basic data; and constructing a first safety restraint unit combination initial model through boundary conditions.
In one embodiment, the base data includes at least one of a component operating assembly of an electric utility market, a day-ahead plan, a safety check constraint, grid load information, and reservoir hydropower plant information.
The above-mentioned various modules in the combined control device of the electric power market hydroelectric generating set can be realized completely or partially by software, hardware and the combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured 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, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is for storing power market base data. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by the processor, implements a combined control method for an electric utility generator set.
It will be appreciated by those skilled in the art that the structure shown in fig. 7 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, implements the steps of the method embodiments described above.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data are required to comply with the related laws and regulations and standards of the related countries and regions.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.

Claims (10)

1. A method for combined control of an electric utility power market hydroelectric generating set, the method comprising:
determining a water-discarding estimated cost value and a target safety constraint unit combination model according to basic data of an electric power market, wherein the target safety constraint unit combination model is obtained by updating an initial safety constraint unit combination model through the water-discarding estimated cost value;
According to the target safety constraint unit combination model, determining a unit combination plan when the difference value between the total power generation cost value and the discarded water estimated cost value of the power market is minimum;
and controlling the water motor group combination in the electric power system according to the unit combination plan.
2. The method of claim 1, wherein determining the estimated cost of water discard based on the base data of the power market comprises:
constructing an initial safety constraint unit combination model according to the basic data, and eliminating a first constraint condition in the initial safety constraint unit combination model to obtain a first safety constraint unit combination model;
determining a pre-clearing result according to the first safety constraint unit combination model, wherein the pre-clearing result is the output plan of each unit, the start-stop plan of each unit and the water-discarding electric quantity of each hydroelectric unit when the total power generation cost value of the electric power market is minimum;
and obtaining the discarded water estimated cost value according to the pre-cleaning result.
3. The method according to claim 2, wherein the method further comprises:
removing the discarded water estimated cost value from the objective function of the initial safety constraint unit combination model to obtain an updated objective function;
And constructing the target safety constraint unit combination model according to the updated target function.
4. The method of claim 2, wherein the determining a crew combination plan for which a difference between the total power generation cost value and the discarded water estimated cost value of the electric power market is minimum according to the safety constraint crew combination model comprises:
setting an initial solution of the target safety restraint unit combination model according to the pre-clearing result;
and carrying out hot start on the target safety constraint unit combination model according to the initial solution so as to determine a unit combination plan when the difference value between the total power generation cost value of the power market and the discarded water estimated cost value is minimum.
5. The method according to claim 2, wherein the constructing an initial safety restraint unit combination model according to the basic data, and removing the first constraint condition in the initial safety restraint unit combination model to obtain a first safety restraint unit combination model, includes:
obtaining boundary conditions of the electric power market unit operation and the power grid operation according to the basic data;
and constructing the first safety restraint unit combination initial model through the boundary condition.
6. The method of any one of claims 1 to 5, wherein the base data includes at least one of a component operating assembly of the electric utility market, a day-ahead plan, a safety check constraint, grid load information, and reservoir hydropower plant information.
7. A combined control device for an electric utility power market hydroelectric generating set, the device comprising:
the construction module is used for determining a water abandon estimated cost value and a target safety constraint unit combination model according to basic data of an electric power market, and the target safety constraint unit combination model is obtained by updating an initial safety constraint unit combination model through the water abandon estimated cost value;
the determining module is used for determining a unit combination plan when the difference value between the total power generation cost value and the discarded water estimated cost value of the power market is minimum according to the target safety constraint unit combination model;
and the control module is used for controlling the water motor group combination in the electric power system according to the unit combination plan.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
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