Electric energy block transaction clearing method and system capable of flexibly adjusting requirements

Abstract

The invention relates to an electric energy block transaction clearing method and system capable of flexibly adjusting requirements. Obtaining a pre-transaction result by constructing an electric energy block transaction model; evaluating the overall flexible adjustment demand of the power grid by using the preset electrical load and the uncontrollable power supply generated output; evaluating the overall flexible adjustment capability of the power grid by using the preset generating capacity corresponding to the standard-winning energy block of the controllable power supply; judging whether the pre-transaction result meets the flexible adjustment requirement or not by evaluating the overall flexible adjustment capability of the power grid according to the overall flexible adjustment requirement of the power grid; if the pre-transaction result meets the flexible adjustment requirement, the process is ended; otherwise, the preset energy block clearing constraint condition is adjusted to the electric energy block transaction model, the steps are repeated until the pre-transaction result meets the flexible adjustment requirement, and the process is ended. The method is simple in implementation process, can solve the problem that the conventional electric energy block transaction cannot fully consider the flexible adjustment demand, and improves the safety of electric power transaction.

Description

Technical Field

[0001] The present application belongs to the field of power market technology, and in particular to a method and system for clearing power energy block transactions with flexible demand adjustment. Background Art

[0002] Power energy block trading is a form of power market trading that uses energy blocks as trading objects. Compared with the traditional segmented declaration and centralized clearing model of power generation capacity, power energy block trading is more in line with cognition, has stronger standardization, and is easy to promote. With the continuous deepening of power market reform, power energy block trading has received increasing attention and has been put into practical use in the Nordic power market.

[0003] Overall, the current focus of power energy block trading research is to design energy block trading types that are more suitable for different types of power generation entities, so as to meet the needs of power generation entities with different operating characteristics to participate in power energy block market transactions.

[0004] However, the dispatching and operation of power grids objectively requires real-time balance of power, which means that in any period of time, while providing power output according to the power energy block in which it won the bid, the power generation entity needs to adjust the power output in real time to cope with changes in power demand and meet the real-time balance of power. In other words, the market entity that won the bid for the power energy block needs to have the necessary flexible adjustment capabilities. However, the current power energy block transaction clearing method does not fully consider the need for flexible adjustment. If a large number of new energy sources such as wind power and photovoltaic power win the bid, due to their limited adjustment capabilities, the adjustment capacity of the power grid will be insufficient in some periods of time, and the real-time balance adjustment requirements of power supply and demand of the power grid cannot be met, which will seriously threaten the safe and stable operation of the power grid. Summary of the invention

[0005] In view of this, the purpose of the present invention is to provide a method and system for clearing transactions of electric energy blocks with flexible adjustment needs, so as to solve the problem that the current method for clearing transactions of electric energy blocks in the prior art does not fully consider the flexible adjustment needs. If a large number of new energy sources such as wind power and photovoltaics are awarded, due to their limited adjustment capabilities, the adjustment capacity of the power grid will be insufficient in some periods of time, and the real-time balance adjustment requirements of the power supply and demand of the power grid cannot be met, which may seriously threaten the safe and stable operation of the power grid.

[0006] According to a first aspect of an embodiment of the present invention, a method for clearing electric energy block transactions with flexible demand adjustment is provided, comprising:

[0007] S1. Construct a power energy block transaction model and obtain pre-transaction results;

[0008] S2. Use the preset power load and uncontrollable power generation output to assess the overall flexible regulation needs of the power grid;

[0009] S3. Use the power generation corresponding to the energy block of the preset controllable power source to evaluate the overall flexible adjustment capability of the power grid;

[0010] S4. judging whether the pre-trading result meets the flexible adjustment demand based on the result of evaluating the overall flexible adjustment demand of the power grid and the result of evaluating the overall flexible adjustment capacity of the power grid;

[0011] S5. If the pre-transaction result meets the flexible adjustment requirements, the process ends;

[0012] S6. Otherwise, adjust the preset energy block clearing constraint conditions to the power energy block trading model, repeat steps S1-S5 until the pre-trading results meet the flexible adjustment requirements, and then end the process.

[0013] Furthermore, the S1. constructs a power energy block transaction model to obtain a pre-transaction result, including:

[0014] Taking the lowest energy block transaction fee as the optimization goal, considering the power balance constraint, the operating day power generation constraint, the maximum limit constraint of single-period power generation, and the minimum limit constraint of single-period power generation as constraint functions, the power energy block transaction model is constructed as shown in the following formula;

[0015]

[0016] Where NT is the number of time periods divided into energy block trading days, NG is the number of power sources participating in energy block trading, including both uncontrollable power sources such as wind power and photovoltaic power, and controllable power sources such as coal-fired units and gas-fired units. are the number of flexible power blocks reported and the number of chained power blocks reported in time period t, respectively, t,g,b is the state variable of whether the flexible block b of power supply g wins the bid in period t, p t,g,b Declare price for power supply t flexible block b in period t, ΔE t,g,b is the reported power of flexible block b corresponding to power source g in time period t, α g,c is the state variable of whether the power source g chain block c wins the bid, p g,c Declare price for power supply g chain block c, ΔE g,c , ΔE g,c,t The power generation reported for chain block c of power source g and the power generation for chain block c during period t are respectively: is the power demand of the power grid in time period t. They are the total power limit of power source g during operation day and the maximum power generation limit of time period t, is the minimum power generation limit of power source g in period t;

[0017] The electric energy block transaction model is solved by using a branch and bound method or calling a Cplex commercial planning software package to obtain a pre-transaction result.

[0018] Furthermore, the S2. using the preset power load and the power generation output of the uncontrollable power source to evaluate the overall flexible adjustment demand of the power grid includes:

[0019] Using the preset power load, the power load fluctuation is obtained, and the power load fluctuation is analyzed using the preset historical fluctuation statistical analysis method to evaluate the power load flexible adjustment demand;

[0020] By using the preset power generation output of the uncontrollable power source and the preset power generation output fluctuation rate of the uncontrollable power source, the flexible adjustment demand of the power generation output of the uncontrollable power source is evaluated;

[0021] The flexible regulation demand of the power grid as a whole is assessed by using the sum of the flexible regulation demand of power load and the flexible regulation demand of uncontrollable power sources.

[0022] Furthermore, the power load fluctuation is obtained by using a preset power load, and the power load fluctuation is analyzed by using a preset historical fluctuation statistical analysis method to evaluate the power load flexible adjustment demand, including:

[0023] The difference between the preset maximum and minimum power load values ​​within the preset time period is calculated to obtain the power load fluctuation amount, as shown in Formula 2:

[0024] V t PL =P t PLmax -P t PLmin (2)

[0025] Where V t PL Represents the power load fluctuation during time period t, P t PLmax , P t PLmin They are respectively the maximum and minimum values ​​of the power load preset within the time period;

[0026] The preset historical fluctuation statistical analysis method is used to obtain the historical maximum value of the power load fluctuation and evaluate the flexible adjustment demand of the power load, as shown in Formula 3:

[0027]

[0028] In the formula, R PL Represents the flexible adjustment demand of power load, is the maximum value function.

[0029] Furthermore, the method of evaluating the flexible adjustment demand of the uncontrollable power generation output by using the preset uncontrollable power generation output and the preset fluctuation rate of the uncontrollable power generation output includes:

[0030] The ratio of the difference between the maximum and minimum power outputs of the uncontrollable power source within the preset time period to the average power output is evaluated to obtain the power output fluctuation rate of the uncontrollable power source, as shown in Formula 4:

[0031]

[0032] In the formula, represents the fluctuation rate of the uncontrollable power generation output during period t, P t NCGmax , P t NCGmin , P t NCGave They are the maximum, minimum and average values ​​of the power output of the uncontrollable power source in time period t respectively;

[0033] The product of the fluctuation rate of the power generation output of the uncontrollable power source and the preset corresponding uncontrollable power generation output forecast value is used to evaluate the flexible adjustment demand of the power generation output of the uncontrollable power source, as shown in the following formula;

[0034]

[0035] In the formula, represents the flexible adjustment demand of the uncontrollable power generation output during period t, P t NCG Represents the predicted value of the uncontrollable power generation output in time period t.

[0036] Furthermore, the S3. using the power generation corresponding to the energy block of the preset controllable power source winning bid to evaluate the overall flexible adjustment capability of the power grid includes:

[0037] The controllable power supply benchmark power output is obtained, as shown in Formula 6:

[0038]

[0039] In the formula, represents the benchmark power output of the controllable power source cg during period t, is the power generation corresponding to the winning energy block in time period t of the controllable power source cg, and ΔT is the corresponding duration of the power energy block transaction;

[0040] By using the controllable power supply benchmark power output, the adjustable power output of the controllable power supply and the minimum value of the power output adjustment space within the flexible adjustment time are solved to evaluate the flexible adjustment capability of the controllable power supply, as shown in Formula 7;

[0041]

[0042] In the formula, Represents the flexible adjustment capability of the controllable power supply cg period t, are the maximum and minimum power output of the controllable power source cg, v cg is the power output regulation rate of the controllable power source cg, ΔT GA To flexibly adjust the duration corresponding to the demand;

[0043] Solve the sum of the flexible adjustment capabilities of all controllable power sources to evaluate the overall flexible adjustment capability of the power grid, as shown in Equation 8:

[0044]

[0045] In the formula, It represents the flexible regulation capability of the power grid in time period t, and NCG is the number of controllable power sources.

[0046] Further, the S4 determines whether the pre-trading result meets the flexible regulation demand based on the result of evaluating the overall flexible regulation demand of the power grid and the result of evaluating the overall flexible regulation capability of the power grid, including:

[0047] If the result of evaluating the overall flexible regulation capability of the power grid is greater than or equal to the result of evaluating the overall flexible regulation demand of the power grid, it means that the pre-transaction result meets the flexible regulation demand.

[0048] Furthermore, the preset energy block clearing constraint conditions include:

[0049] The power generation constraint of uncontrollable power source is as follows:

[0050]

[0051] In the formula, Represents the winning bid quantity of the uncontrollable power source ncg in period t, NNCG is the number of uncontrollable power sources, is the winning quantity of the uncontrollable power source in period t obtained in S1, It is the adjustment amount of the winning bid of the uncontrollable power source in time period t introduced to meet the demand for flexible regulation.

[0052] According to a second aspect of an embodiment of the present invention, a power energy block transaction clearing system with flexible adjustment demand is provided, which is applied to the power energy block transaction clearing method with flexible adjustment demand described in any one of the above items, including:

[0053] The acquisition module is used to construct a power energy block transaction model and obtain pre-transaction results;

[0054] The first processing module is used to evaluate the overall flexible adjustment demand of the power grid by using the preset power load and the power generation output of the uncontrollable power source;

[0055] The second processing module is used to evaluate the overall flexible adjustment capability of the power grid by using the power generation corresponding to the energy block of the preset controllable power source winning bid;

[0056] The third processing module is used to determine whether the pre-trading result meets the flexible regulation demand according to the result of evaluating the overall flexible regulation demand of the power grid and the result of evaluating the overall flexible regulation capability of the power grid;

[0057] A fourth processing module, configured to end the process if the pre-transaction result meets the flexible adjustment requirement;

[0058] The fifth processing module is used to adjust the preset energy block clearing constraints to the power energy block trading model, repeat the steps in the first processing module to the fourth processing module, until the pre-trading results meet the flexible adjustment requirements, and then end the process.

[0059] The technical solution provided by the embodiments of the present invention may have the following beneficial effects:

[0060] It is understandable that the technical solution provided by the present invention proposes a flexible adjustment demand and flexible adjustment capacity evaluation method based on the clearing results of traditional power energy block transactions, and constructs flexible adjustment demand judgment conditions; according to the flexible adjustment demand judgment conditions, the winning bid quantity of uncontrollable power sources is adjusted, and the winning bid quantity constraint conditions of uncontrollable power sources are introduced to obtain a power energy block clearing result that meets the flexible adjustment demand. The implementation process of this method is simple, and it can solve the problem that traditional power energy block transactions fail to fully consider the flexible adjustment demand, and improve the security of power transactions.

[0061] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0063] Figure 1 It is a schematic diagram of steps of a method for clearing electric energy block transactions providing flexible demand adjustment according to an exemplary embodiment;

[0064] Figure 2 is an overall implementation flow chart of a method for clearing electric energy block transactions that provides flexible adjustment requirements according to an exemplary embodiment;

[0065] Figure 3It is a schematic block diagram of a power energy block transaction clearing system providing flexible regulation demand according to an exemplary embodiment. DETAILED DESCRIPTION

[0066] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0067] Embodiment 1

[0068] See also Figure 1 , Figure 1 The present invention is a schematic diagram of steps of a method for clearing electric energy block transactions that provides flexible adjustment demand according to an exemplary embodiment, wherein the method comprises:

[0069] S1. Construct a power energy block transaction model and obtain pre-transaction results;

[0070] S2. Use the preset power load and uncontrollable power generation output to assess the overall flexible regulation needs of the power grid;

[0071] S3. Use the power generation corresponding to the energy block of the preset controllable power source to evaluate the overall flexible adjustment capability of the power grid;

[0072] S4. judging whether the pre-trading result meets the flexible adjustment demand based on the result of evaluating the overall flexible adjustment demand of the power grid and the result of evaluating the overall flexible adjustment capacity of the power grid;

[0073] S5. If the pre-transaction result meets the flexible adjustment requirements, the process ends;

[0074] S6. Otherwise, adjust the preset energy block clearing constraint conditions to the power energy block trading model, repeat steps S1-S5 until the pre-trading results meet the flexible adjustment requirements, and then end the process.

[0075] Overall, the current focus of power energy block trading research is to design energy block trading types that are more suitable for different types of power generation entities, so as to meet the needs of power generation entities with different operating characteristics to participate in power energy block market transactions.

[0076] However, the dispatching and operation of power grids objectively requires real-time balance of power, which means that in any period of time, while providing power output according to the power energy block in which it won the bid, the power generation entity needs to adjust the power output in real time to cope with changes in power demand and meet the real-time balance of power. In other words, the market entity that won the bid for the power energy block needs to have the necessary flexible adjustment capabilities. However, the current power energy block transaction clearing method does not fully consider the need for flexible adjustment. If a large number of new energy sources such as wind power and photovoltaic power win the bid, due to their limited adjustment capabilities, the adjustment capacity of the power grid will be insufficient in some periods of time, and the real-time balance adjustment requirements of power supply and demand of the power grid cannot be met, which will seriously threaten the safe and stable operation of the power grid.

[0077] It can be seen that it is inevitable to consider the flexible adjustment demand in the power energy block transaction. However, from a technical perspective, incorporating the flexible adjustment demand into the power energy block transaction faces the following technical problems:

[0078] First, there is currently a lack of evaluation methods for flexible adjustment of demand under the energy block trading model, that is, it is still unclear how much demand can be flexibly adjusted in power energy block trading;

[0079] Second, the fluctuation of power generation output of new energy sources such as wind power and photovoltaic power has a great impact on the flexible regulation demand of the power grid, which means that the result of clearing the power energy block will affect the flexible regulation demand of the power grid;

[0080] Third, the flexible adjustment requirements that power generation entities can provide under different power generation amounts are different, which means that it is difficult to directly use the flexible adjustment requirements as constraints in power energy block transactions to obtain power energy block clearing results that meet the power grid operation requirements.

[0081] In response to the above problems, by executing the above steps S1-S6, a flexible adjustment demand and flexible adjustment capacity evaluation method based on the clearing results of traditional power energy block transactions is implemented, and a flexible adjustment demand judgment condition is constructed. According to the flexible adjustment demand judgment condition, the winning bid quantity of uncontrollable power sources is adjusted, and the winning bid quantity constraint condition of uncontrollable power sources is introduced to obtain a power energy block clearing result that meets the flexible adjustment demand. The implementation process of this method is simple, and it can solve the problem that traditional power energy block transactions fail to fully consider the flexible adjustment demand, thereby improving the security of power transactions.

[0082] For specific implementation, please refer to Figure 1-Figure 2 As described in step S1, the electric energy block transaction model is constructed, and the processing steps for obtaining the pre-transaction result are as follows:

[0083] Preferably, an electric energy block trading model is constructed and solved. Flexible blocks and chain blocks are currently typical types of electric energy block transactions. Without loss of generality, step one in the present invention only considers the participation of flexible blocks and chain blocks. If other energy block trading varieties are introduced, it is only necessary to adjust the energy block trading model in this step accordingly, and it will not have a substantial impact on the innovation of the present invention. Under the flexible block trading variety, after only considering flexible blocks and chain blocks, the energy block trading model takes the lowest energy block transaction fee as the optimization goal, and considers the power balance constraint, the operating day power generation constraint, the single-period power generation maximum limit constraint, and the single-period power generation minimum limit constraint, which can be expressed as:

[0084]

[0085] Where NT is the number of time periods divided on the energy block trading day. NG is the number of power sources participating in the energy block trading, including both uncontrollable power sources such as wind power and photovoltaic power, and controllable power sources such as coal-fired units and gas-fired units. are the number of flexible power blocks reported and the number of chain power blocks reported in time period t respectively. t,g,b It is the state variable of whether the flexible block b of power supply g wins the bid in period t. t,g,b Declare a price for flexible block b of power supply t for period t. ΔE t,g,b The reported power of flexible block b corresponding to power source g in time period t. g,c It is the state variable of whether the power source g chain block c wins the bid. g,c Declare price for power supply g chain block c. ΔE g,c , ΔE g,c,t The power generation reported for chain block c of power source g and the power generation for chain block c during period t are respectively. is the power demand of the power grid in time period t. They are the total power limit of power source g during operation day and the maximum power generation limit of time period t respectively. is the minimum power generation limit of power source g in period t.

[0086] The energy block trading model shown in formula (1) is essentially a mixed integer programming model. The energy block pre-trading clearing result can be obtained by using the branch and bound method or calling commercial planning software packages such as Cplex.

[0087] In the specific implementation, as described in step S2, the preset power load and the power generation output of the uncontrollable power source are used to evaluate the overall flexible adjustment demand of the power grid. In the specific implementation, the following contents are included:

[0088] The purpose of this step is to evaluate the flexible regulation demand of the power grid based on the power load forecast and the power generation output of new energy sources such as wind power and photovoltaic power. The so-called flexible regulation demand is essentially the ability of the power grid to track the fluctuations of power load and power generation output of uncontrollable power sources, adjust the power generation output of controllable power sources, and maintain a real-time balance between power supply and demand. The flexible regulation demand of the power grid is determined by the volatility of power load and the volatility of power generation output of uncontrollable power sources. The flexible regulation demand of power load and uncontrollable power sources can be evaluated separately to evaluate the overall flexible regulation demand of the power grid.

[0089] Preferably, the demand for flexible adjustment of power load is evaluated. The demand for flexible adjustment of power load is essentially the maximum change in power load within a given evaluation time range. The statistical analysis method of historical fluctuations can be used to statistically analyze the demand for flexible adjustment of power load. The specific steps are as follows:

[0090] (1) Calculate the power load fluctuation, that is, the difference between the maximum and minimum power load values ​​within a given evaluation time range, which can be expressed as:

[0091] V t PL =P t PLmax -P t PLmin (2)

[0092] Where V t PL Represents the fluctuation of power load during time period t, P t PLmax , P t PLmin They are the maximum and minimum values ​​of power load within the period respectively.

[0093] (2) Evaluate the demand for flexible adjustment of power load, that is, the historical maximum value of power load fluctuation, which can be expressed as:

[0094]

[0095] In the formula, R PL Represents the flexible adjustment demand of power load, is the maximum value function.

[0096] Preferably, the flexible adjustment demand of uncontrollable power sources is evaluated. The flexible adjustment demand of uncontrollable power sources is essentially the fluctuation of the power generation output of uncontrollable power sources within a given evaluation time range. Unlike the power load, the power generation output of uncontrollable power sources is more volatile, so the volatility is used to evaluate the fluctuation degree of its power generation output. The specific steps are as follows:

[0097] (1) Calculate the fluctuation rate of the power output of the uncontrollable power source, that is, the ratio of the difference between the maximum and minimum power output of the uncontrollable power source within a given evaluation time range to the average power output, which can be expressed as:

[0098]

[0099] In the formula, represents the fluctuation rate of the uncontrollable power generation output during period t, P t NCGmax , P t NCGmin , P t NCGave They are respectively the maximum, minimum and average values ​​of the uncontrollable power output in time period t.

[0100] (2) Evaluate the flexible adjustment demand of the uncontrollable power generation output, that is, the product of the maximum fluctuation rate of the uncontrollable power generation output and the corresponding power generation output, which can be expressed as:

[0101]

[0102] In the formula, represents the flexible adjustment demand of the uncontrollable power generation output during period t, P t NCG Represents the predicted value of the uncontrollable power generation output in time period t.

[0103] Preferably, the flexible regulation demand of the power grid is evaluated. Considering that there is no significant correlation between the power generation output of uncontrollable power sources and the power load, the flexible regulation demand of the power grid is the sum of the flexible regulation demand of the power load and the flexible regulation demand of the power generation output of uncontrollable power sources, which can be expressed as:

[0104]

[0105] In the formula, Represents the flexible regulation demand of the power grid during time period t.

[0106] In one embodiment, as described in step S3, the power generation corresponding to the energy block of the preset controllable power source winning bid is used to evaluate the overall flexible adjustment capability of the power grid, including:

[0107] The purpose of this step is to evaluate the flexible adjustment capability of the controllable power supply based on the corresponding power generation of the energy block that won the bid.

[0108] Preferably, the benchmark power generation output is evaluated. The benchmark power generation output of the controllable power source refers to the average power generation output corresponding to the bid amount of the controllable power source in the power energy block transaction, which can be expressed as:

[0109]

[0110] In the formula, represents the benchmark power output of the controllable power source cg during period t, is the power generation corresponding to the winning energy block in time period t of the controllable power source cg, and ΔT is the corresponding duration of the power energy block transaction.

[0111] Preferably, the flexible adjustment capability of the controllable power source is evaluated. The flexible adjustment capability of the controllable power source is the minimum value of the adjustable power output and power output adjustment space of the controllable power source within the flexible adjustment time, which can be expressed as:

[0112]

[0113] In the formula, Represents the flexible adjustment capability of the controllable power supply cg period t, are the maximum and minimum power output of the controllable power source cg, v cg is the power output regulation rate of the controllable power source cg, ΔT GA To flexibly adjust the corresponding time according to demand.

[0114] Preferably, the flexible regulation capability of the power grid is evaluated, that is, the sum of the flexible regulation capabilities of all controllable power sources during this period, which can be expressed as:

[0115]

[0116] In the formula, It represents the flexible regulation capability of the power grid in time period t, and NCG is the number of controllable power sources.

[0117] In the specific implementation, as described in step S4, judging whether the pre-trading result meets the flexible regulation demand based on the result of evaluating the overall flexible regulation demand of the power grid and the result of evaluating the overall flexible regulation capability of the power grid includes:

[0118] The purpose of this step is to determine whether the pre-trading result of the power energy block in step 1 can meet the flexible adjustment requirements.

[0119] Preferably, if the flexible regulation capability of the power grid in each time period exceeds the flexible regulation demand in that time period, the flexible regulation demand is met; otherwise, it is not met. The above judgment conditions can be expressed as:

[0120]

[0121] If the flexible regulation capability and flexible regulation demand of the power grid in each time period meet the judgment requirements of formula (10), it indicates that the pre-trading result of step 1 meets the flexible regulation demand and the implementation process ends; otherwise, the flexible regulation demand of the time period does not meet the requirements and needs to be adjusted, and the process goes to step S6.

[0122] Step S6: Add energy block clearing constraints

[0123] The purpose of this step is to adjust the pre-clearing results so that the flexible adjustment demand of each time period meets the requirements shown in formula (10). By analyzing the flexible adjustment capability and flexible adjustment demand of formula (10), it can be seen that there are two adjustment paths: one is to reduce the flexible adjustment demand of the time period. Considering that the flexible adjustment demand of the power load is difficult to adjust, it is necessary to reduce the flexible adjustment demand of the power generation output of the uncontrollable power source to achieve the effect of reducing the flexible adjustment demand of the power grid during this period, that is, it is necessary to reduce the winning bid quantity of uncontrollable power sources such as wind power and photovoltaic power during this period; the second is to increase the flexible adjustment capability of the time period, that is, to increase the winning bid quantity of the controllable power source during this period, so as to achieve the effect of improving the flexible adjustment capability. To this end, the present invention will introduce the winning bid quantity constraint of the uncontrollable power source to meet the requirements of the flexible adjustment demand.

[0124] Preferably, the generation capacity constraint of uncontrollable power source is added, which can be expressed as:

[0125]

[0126] In the formula, Represents the winning bid quantity of the uncontrollable power source ncg in period t, NNCG is the number of uncontrollable power sources, is the winning bid power of the uncontrollable power source in period t obtained in step 1, It is the adjustment amount of the winning bid of the uncontrollable power source in time period t introduced to meet the demand for flexible regulation.

[0127] Among them, the adjustment amount of the uncontrollable power source's bid power in period t is determined by the flexible adjustment demand deviation in this period, which is equal to the difference between the uncontrollable power source's bid power in step 1 and the uncontrollable power source's power requirement to meet the judgment requirement of formula (10), which can be expressed as:

[0128]

[0129] By introducing the constraint shown in formula (11) into the pre-clearing model of step 1 and repeating the above steps, the power energy block clearing result that meets the flexible regulation requirements can be obtained.

[0130] It can be understood that the present application implements a flexible adjustment demand and flexible adjustment capacity evaluation method based on the clearing results of traditional power energy block transactions, constructs flexible adjustment demand judgment conditions, adjusts the winning bid quantity of uncontrollable power sources according to the flexible adjustment demand judgment conditions, and introduces constraints on the winning bid quantity of uncontrollable power sources to obtain power energy block clearing results that meet the flexible adjustment needs. The implementation process of this method is simple, and it can solve the problem that traditional power energy block transactions fail to fully consider the flexible adjustment needs, thereby improving the security of power transactions.

[0131] See also Figure 3 , Figure 31 is a schematic block diagram of a power energy block transaction clearing system providing flexible adjustment demand according to an exemplary embodiment, the system comprising:

[0132] The acquisition module 30 is used to construct a power energy block transaction model and obtain a pre-transaction result;

[0133] The first processing module 31 is used to evaluate the overall flexible regulation demand of the power grid by using the preset power load and the power generation output of the uncontrollable power source;

[0134] The second processing module 32 is used to evaluate the overall flexible regulation capability of the power grid by using the power generation corresponding to the energy block of the preset controllable power source winning bid;

[0135] The third processing module 33 is used to determine whether the pre-trading result meets the flexible regulation demand according to the result of evaluating the overall flexible regulation demand of the power grid and the result of evaluating the overall flexible regulation capability of the power grid;

[0136] The fourth processing module 34 is used to end the process if the pre-transaction result meets the flexible adjustment requirement;

[0137] The fifth processing module 35 is used to adjust the preset energy block clearing constraint conditions to the power energy block trading model, repeat the steps in the first processing module to the fourth processing module, until the pre-trading results meet the flexible adjustment requirements, and then end the process.

[0138] It can be understood that the same or similar parts of the above embodiments can be referenced to each other, and the contents not described in detail in some embodiments can refer to the same or similar contents in other embodiments.

[0139] It should be noted that, in the description of the present invention, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present invention, unless otherwise specified, the meaning of "plurality" refers to at least two.

[0140] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0141] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0142] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0143] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0144] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0145] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0146] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for clearing electric energy block transactions with flexible demand adjustment, characterized in that: The method comprises: S1. Construct a power energy block transaction model and obtain pre-transaction results; S2. Use the preset power load and uncontrollable power generation output to assess the overall flexible regulation needs of the power grid; S3. Use the power generation corresponding to the energy block of the preset controllable power source to evaluate the overall flexible adjustment capability of the power grid; S4. judging whether the pre-trading result meets the flexible adjustment demand based on the result of evaluating the overall flexible adjustment demand of the power grid and the result of evaluating the overall flexible adjustment capacity of the power grid; S5. If the pre-transaction result meets the flexible adjustment requirements, the process ends; S6. Otherwise, adjust the preset energy block clearing constraint conditions to the power energy block trading model, repeat steps S1-S5 until the pre-trading results meet the flexible adjustment requirements, and then end the process.

2. The method according to claim 1, characterized in that: S1. constructing a power energy block transaction model to obtain a pre-transaction result, including: Taking the lowest energy block transaction fee as the optimization goal, considering the power balance constraint, the operating day power generation constraint, the maximum limit constraint of single-period power generation, and the minimum limit constraint of single-period power generation as constraint functions, the power energy block transaction model is constructed as shown in the following formula; Where NT is the number of time periods divided into energy block trading days, NG is the number of power sources participating in energy block trading, including both uncontrollable power sources such as wind power and photovoltaic power, and controllable power sources such as coal-fired units and gas-fired units. are the number of flexible power blocks reported and the number of chained power blocks reported in time period t, respectively, t,g,b is the state variable of whether the flexible block b of power supply g wins the bid in period t, p t,g,b Declare price for power supply t flexible block b in period t, ΔE t,g,b is the reported power of flexible block b corresponding to power source g in time period t, α g,c is the state variable of whether the power source g chain block c wins the bid, p g,c Declare price for power supply g chain block c, ΔE g,c , ΔE g,c,t The power generation reported for chain block c of power source g and the power generation for chain block c during period t are respectively: is the power demand of the power grid during time period t; They are the total power limit of power source g during operation day and the maximum power generation limit of time period t, is the minimum power generation limit of power source g in period t; The electric energy block transaction model is solved by using a branch and bound method or calling a Cplex commercial planning software package to obtain a pre-transaction result.

3. The method according to claim 1, characterized in that: S2. uses the preset power load and the power generation output of the uncontrollable power source to evaluate the overall flexible adjustment demand of the power grid, including: Using the preset power load, the power load fluctuation is obtained, and the power load fluctuation is analyzed using the preset historical fluctuation statistical analysis method to evaluate the power load flexible adjustment demand; By using the preset power generation output of the uncontrollable power source and the preset power generation output fluctuation rate of the uncontrollable power source, the flexible adjustment demand of the power generation output of the uncontrollable power source is evaluated; The flexible regulation demand of the power grid as a whole is assessed by using the sum of the flexible regulation demand of power load and the flexible regulation demand of uncontrollable power sources.

4. The method according to claim 3, characterized in that The method of obtaining a power load fluctuation amount by using a preset power load, analyzing the power load fluctuation amount by using a preset historical fluctuation amount statistical analysis method, and evaluating the power load flexible adjustment demand includes: The difference between the preset maximum and minimum power load values ​​within the preset time period is calculated to obtain the power load fluctuation amount, as shown in Formula 2: V t PL =P t PLmax -P t PLmin (2) Where V t PL Represents the fluctuation of power load during time period t, P t PLmax , P t PLmin They are respectively the maximum and minimum values ​​of the power load preset within the time period; The preset historical fluctuation statistical analysis method is used to obtain the historical maximum value of the power load fluctuation and evaluate the flexible adjustment demand of the power load, as shown in Formula 3: In the formula, R PL Represents the flexible adjustment demand of power load, is the maximum value function.

5. The method according to claim 3, characterized in that: The method of evaluating the flexible adjustment demand of the uncontrollable power generation output by using the preset uncontrollable power generation output and the preset fluctuation rate of the uncontrollable power generation output comprises: The ratio of the difference between the maximum and minimum power outputs of the uncontrollable power source within the preset time period to the average power output is evaluated to obtain the power output fluctuation rate of the uncontrollable power source, as shown in Formula 4: In the formula, represents the fluctuation rate of the uncontrollable power generation output during period t, P t NCGmax , P t NCGmin , P t NCGave They are the maximum, minimum and average values ​​of the power output of the uncontrollable power source in time period t respectively; The product of the fluctuation rate of the power generation output of the uncontrollable power source and the preset corresponding uncontrollable power generation output forecast value is used to evaluate the flexible adjustment demand of the power generation output of the uncontrollable power source, as shown in the following formula; In the formula, represents the flexible adjustment demand of the uncontrollable power generation output during period t, P t NCG Represents the predicted value of the uncontrollable power generation output in time period t.

6. The method according to claim 1, characterized in that S3. Using the power generation corresponding to the energy block of the preset controllable power source winning bid, the overall flexible adjustment capability of the power grid is evaluated, including: The controllable power supply benchmark power output is obtained, as shown in Formula 6: In the formula, represents the benchmark power output of the controllable power source cg during period t, is the power generation corresponding to the winning energy block in time period t of the controllable power source cg, and ΔT is the corresponding duration of the power energy block transaction; By using the controllable power supply benchmark power output, the adjustable power output of the controllable power supply and the minimum value of the power output adjustment space within the flexible adjustment time are solved to evaluate the flexible adjustment capability of the controllable power supply, as shown in Formula 7; In the formula, Represents the flexible adjustment capability of the controllable power supply cg period t, are the maximum and minimum power output of the controllable power source cg, v cg is the power output regulation rate of the controllable power source cg, ΔT GA To flexibly adjust the duration corresponding to the demand; Solve the sum of the flexible adjustment capabilities of all controllable power sources to evaluate the overall flexible adjustment capability of the power grid, as shown in Equation 8: In the formula, It represents the flexible regulation capability of the power grid in time period t, and NCG is the number of controllable power sources.

7. The method according to claim 1, characterized in that The S4 determines whether the pre-trading result meets the flexible regulation demand based on the result of evaluating the overall flexible regulation demand of the power grid and the result of evaluating the overall flexible regulation capability of the power grid, including: If the result of evaluating the overall flexible regulation capability of the power grid is greater than or equal to the result of evaluating the overall flexible regulation demand of the power grid, it means that the pre-transaction result meets the flexible regulation demand.

8. The method according to claim 1, characterized in that: The preset energy block clearing constraint conditions include: The power generation constraint of uncontrollable power source is as follows: In the formula, Represents the winning bid quantity of the uncontrollable power source ncg in period t, NNCG is the number of uncontrollable power sources, is the winning quantity of the uncontrollable power source in period t obtained in S1, It is the adjustment amount of the winning bid of the uncontrollable power source in time period t introduced to meet the demand for flexible regulation.

9. A power energy block transaction clearing system with flexible demand adjustment, applied to the power energy block transaction clearing method with flexible demand adjustment as claimed in any one of claims 1 to 8, the system comprising: The acquisition module is used to construct a power energy block transaction model and obtain pre-transaction results; The first processing module is used to evaluate the overall flexible adjustment demand of the power grid by using the preset power load and the power generation output of the uncontrollable power source; The second processing module is used to evaluate the overall flexible adjustment capability of the power grid by using the power generation corresponding to the energy block of the preset controllable power source winning bid; The third processing module is used to determine whether the pre-trading result meets the flexible regulation demand according to the result of evaluating the overall flexible regulation demand of the power grid and the result of evaluating the overall flexible regulation capability of the power grid; A fourth processing module, configured to end the process if the pre-transaction result meets the flexible adjustment requirement; The fifth processing module is used to adjust the preset energy block clearing constraints to the power energy block trading model, repeat the steps in the first processing module to the fourth processing module, until the pre-trading results meet the flexible adjustment requirements, and then end the process.

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