Source network load storage capacity configuration method without increasing peak-valley difference rate

Abstract

The invention provides a source network load storage capacity configuration method without increasing a peak-valley difference rate, which comprises the following steps of: firstly, acquiring operation data and cost-related data of a project, and setting system operation constraints; based on a daily operation control strategy which does not increase the characterization peak-valley difference rate, a year-round hourly production operation simulation model is constructed, and the daily operation control strategy comprises on-demand start and stop of an adjustable load, reasonable operation of energy storage and active power abandoning of new energy; based on a year-round hourly production operation simulation model, taking the lowest total power utilization cost of a project as a target, taking a new energy installation and energy storage configuration proportion as a variable, and solving an optimal configuration scheme which comprises a recommended configuration scheme and a front and back sequence configuration scheme; according to the operation control strategy provided by the invention, the characterization peak-valley difference rate of the source-grid-load-storage integrated project does not exceed the original load peak-valley difference rate, and on the basis of the capacity configuration method provided by the invention, the power utilization cost of the project can be reduced on the basis of high grid-connected friend performance.

Description

Technical Field

[0001] The present invention relates to the technical field of analysis and planning of new energy power systems, and mainly to a source-grid-load-storage capacity configuration method without increasing peak-valley difference rates. Background Art

[0002] In recent years, the scale of installed capacity of new energy, mainly wind power and photovoltaic power, has continued to grow, and the intermittent and volatile output of new energy has a great impact on the power system. In some areas, the utilization rate of new energy has declined due to insufficient regulation capacity of the power system. The source-grid-load-storage integrated project can help reduce the impact of new energy on the power system and improve the utilization rate of new energy by strengthening the coordinated interaction between new energy power sources, loads, energy storage and power grids. At the same time, due to the continuous decline in the construction costs of wind power and photovoltaic power, the source-grid-load-storage integrated model construction projects can effectively reduce their own electricity costs.

[0003] However, at present, the research on the coordinated operation of source-grid-load-storage integrated projects is limited to power sources and energy storage. After the project is put into operation, the peak-shaving pressure of the power system will still increase. There is still a lack of an operation control strategy for source-grid-load-storage integrated projects that takes into account the peak-to-valley difference rate of the power system and is highly operational. For the capacity configuration optimization method of source-grid-load-storage integrated projects, the current research does not take the peak-to-valley difference rate of the project into consideration, and lacks quantitative analysis of the friendliness of the grid connection.

[0004] For example, CN117852927A "A method, system and storage medium for integrated planning and production simulation of source, grid, load and storage" discloses "a method, system and storage medium for integrated planning and production simulation of source, grid, load and storage, which takes into account the load, power supply and adjustable resource characteristics of the source, grid, load and storage system in the input parameters, adds the peak-valley difference restriction in the constraint conditions, adds the judgment of whether the peak-valley difference meets the standard in the production simulation process, and gives the inherent peak-valley difference of the load of the source, grid, load and storage system, the daily peak-valley difference of the external net load, the power abandonment rate and other values ​​in the key indicators obtained." However, the method has two main deficiencies. On the one hand, the method only focuses on the limitation and judgment of the absolute value of the peak-valley difference. Although it can ensure that the absolute value of the peak-valley difference does not increase, in fact, considering that after the access of new energy, the absolute value of the system's purchased electricity decreases, and the peak-valley difference rate may have exceeded the original value, which increases the system regulation pressure to a certain extent; on the other hand, the method mainly meets the peak-valley difference constraint by abandoning new energy power, and lacks dynamic daily operation control strategies such as adjustable load on-demand start and stop, reasonable operation of energy storage, and active abandonment of new energy that are suitable for reducing the peak-valley difference rate. The adjustable load and energy storage have not fully played the role of improving the load curve. In actual operation, the adjustable load and energy storage may reach the capacity constraint in a relatively short time, resulting in a decrease in the utilization rate of new energy and relatively poor operability. Summary of the invention

[0005] In order to solve the above problems existing in the prior art, the present application provides a source-grid-load-storage capacity configuration method that does not increase the peak-to-valley difference rate.

[0006] The technical solution of this application is as follows:

[0007] A method for configuring source-grid-load-storage capacity without increasing peak-to-valley difference rate, the method comprising:

[0008] Obtaining the project's operating data and cost-related data, and setting system operating constraints, including the overall utilization rate of new energy, energy storage configuration ratio, upper and lower limits of new energy configuration scale, and energy storage duration;

[0009] Based on the daily operation control strategy that does not increase the peak-to-valley difference rate, a year-round hourly production operation simulation model is constructed. The daily operation control strategy includes on-demand start and stop of adjustable loads, reasonable operation of energy storage, and active abandonment of new energy.

[0010] With the goal of minimizing the total electricity cost of the project and the proportion of new energy installed capacity and energy storage configuration as variables, the optimal configuration plan is solved to obtain the recommended configuration plan and the sequential configuration plan.

[0011] Preferably, the operation data and cost-related data of the project are obtained, and the system operation constraints are set based on the operation data, including the overall utilization rate of new energy, the energy storage configuration ratio, the upper and lower limits of the new energy configuration scale, and the energy storage duration, specifically:

[0012] The operation data includes the basic load P L(B)ij , the annual hourly data series P of wind power new energy unit installed capacity output WIND(pu)ij , the annual hourly data series P of photovoltaic new energy unit installed capacity output SOLAR(pu)ij and adjustable load maximum adjustable value P L(AD),max , where i represents the number of days, j represents the hour, 1≤i≤365, 1≤j≤24;

[0013] The cost-related data include the annual investment cost of wind power installed per unit of new energy C WINDin , Annual operation and maintenance cost of wind power installed capacity per unit of new energy C WINDop 、Annual investment cost of photovoltaic power generation per unit of new energy C SOLARin 、Annual operation and maintenance cost of photovoltaic power installed capacity per unit of new energy C SOLARop 、Annual investment cost of new energy unit installed energy storage C Sin 、Annual operation and maintenance cost of new energy unit installed energy storage C Sop and the cost of purchased electricity C P ;

[0014] The system operation constraints include the lower limit of the overall utilization rate of new energy u, energy storage configuration ratio r s The upper limit r s,max With the lower limit r s,min , New energy configuration scale P NE The upper limit P NE，max With the lower limit P NE,min , P WIND represents wind power installed capacity, P SOLAR represents the photovoltaic installed capacity and energy storage duration t.

[0015] Preferably, the daily operation control strategy based on not increasing the peak-to-valley difference rate of the representation is specifically to ensure that the peak-to-valley difference rate of the external representation load is not higher than the peak-to-valley difference rate of the total load by starting and stopping the adjustable load on demand, operating the energy storage reasonably, and actively abandoning the power of new energy, which is expressed by the formula:

[0016] D Li =(P Li,max -P Li,min ) / P Li,max ≥D RLi =(P RLi,max -P RLi,min ) / P RLi,max ;

[0017] Where D Li represents the daily peak-to-valley difference rate of the total load on the i-th day; D RLi represents the peak-to-valley difference rate of the external load on the i-th day after the adjustable load is started and stopped on demand, the energy storage is operated reasonably, and the new energy is actively abandoned; P Li,max represents the total load power after the base load and adjustable load are superimposed on the i-th day; P Li,min represents the minimum value of the total load power after the base load and adjustable load are superimposed on the i-th day; P RLi,max The maximum value of the load power represented externally on the ith day after the adjustable load is started and stopped on demand, the energy storage operates reasonably, and the new energy source actively abandons power; P RLi,min It represents the minimum value of the load power represented externally after the adjustable load is started and stopped on demand, the energy storage is operated reasonably, and the new energy is actively abandoned on the i-th day; P Lij It represents the total load power after the base load and adjustable load are superimposed on the jth hour of the i-th day, P Lij =P L(B)ij +P L(AD)ij ;P L(AD)ij It represents the adjustable load power at the jth time on the i-th day.

[0018] Preferably, the adjustable load on-demand start-stop strategy is specifically:

[0019] P RL(B)ij =P NEij -P L(B)ij ;

[0020] P NEij =P WINDij +P SOLARij ;

[0021] P WINDij =P WIND(pu)ij ×P WIND ;

[0022] P SOLARij =P SOLARij(pu) ×P SOLAR ;

[0023]

[0024] If P RL(B)ij -P RL(B)i,avr >P L(AD),max , then P L(AD)ij =P L(AD),max ;

[0025] If P L(AD),max >P RL(B)ij -P RL(B)i,avr >0, then P L(AD)ij =P RL(B)ij -P PL(B)i,avr ;

[0026] If P RL(B)ij -P RL(B)i,avr <0, then P L(AD)ij =0;

[0027] Among them, P RL(B)ij P represents the power profit or loss after deducting the base load from the output of renewable energy at the jth hour on the i-th day; NEij represents the output power of renewable energy at the jth hour on the i-th day; P WINDij represents the wind power output at the jth hour on the i-th day; P SOLARij represents the photovoltaic power output at the jth hour on the i-th day; P RL(B)i,avr P represents the i-th day RL(B)ij The average value of .

[0028] The optimal energy storage reasonable operation strategy is as follows:

[0029] If P RL(B&AD)ij -P RL(B&AD)i,avr ≥0, then P Sij =-min{(P RL(B&D)ij -P RL(B&D)i,avr )*A si ,P S,max};

[0030] If P RL(B&AD)ij -P RL(B&AD)i,avr >0, then P Sij=min{|(P RL(B&D)ij -P RL(B&D)i,avr )|*A si ,P S,max};

[0031] P RL(B&AD)ij =P NEij -P L(B)ij -P L(AD)ij ;

[0032] P S,max =r s ×P NE ;

[0033] E s,max =P S,max ×t;

[0034]

[0035] Among them, P Sij represents the energy storage power at the jth time on the i-th day; P RL(B&AD)ij P represents the power profit or loss after the new energy output minus the total load at the jth hour of the i-th day; S,max Indicates the maximum power of energy storage; P RL(B&AD)i,avr P represents the i-th day RL(B&AD)ij The average value of A si represents the energy storage output coefficient on the i-th day; E s,max Indicates the maximum energy storage capacity.

[0036] The preferred strategy for active power abandonment of new energy is as follows:

[0037] P RL(B&AD&S)ij =P NEij -P Lij +P Sij ;

[0038] If P RL(B&AD&S)i,min ≥0, then P ABij =P RL(B&AD&S)ij ;

[0039] When P RL(B&AD&S)i,min <0, if P RL(B&AD&S)ij -P RL(B&AD&S)i,min *(1-ω Li )>0, then P ABij =P RL(B&AD&S)ij -P RL(B&AD&S)i,min *(1-ω Li );

[0040] If P RL(B&AD&S)ij -P RL(B&AD&S)i,min *(1-ω Li )≤0, then P ABij =0;

[0041] Among them, P ABij represents the power abandonment at the jth time on the i-th day; P RL(B&AD&S)ij P represents the power profit or loss of the new energy output at the jth time on the i-th day after deducting the total load and considering the impact of energy storage; RL(B&AD&S)i,min represents the P of the i-th day RL(B&AD&S)ij The minimum value of .

[0042] Preferably, based on the daily operation control strategy that does not increase the peak-to-valley difference rate, a full-year hourly production operation simulation model is constructed, specifically:

[0043] After the adjustable load is started and stopped on demand, the energy storage is operated reasonably, and the new energy is actively abandoned, the external load power is expressed as P RLij =P L(B)ij +P L(AD)ij -P Sij -(P NEij -P ABij );

[0044] The annual hourly production operation simulation model aims to minimize the total electricity cost α of the project, which can be expressed as follows:

[0045] α1=P WIND ×C WINDin +P SOLAR ×C SOLARin +P S,max ×C Sin ;

[0046] α2=P WIND ×C WINDop +P SOLAR ×C SOLARop +P S,max ×C Sop ;

[0047]

[0048] minα=α1+α2+α3;

[0049] In the formula, α1 represents the investment cost of new energy project construction; α2 represents the operation and maintenance cost of new energy project; α3 represents the cost of purchased electricity.

[0050] Preferably, the optimal configuration solution solution method is specifically as follows:

[0051] Based on the daily operation control strategy that does not increase the peak-to-valley difference rate, the operation data of the project is input into the annual hourly production operation simulation model, and the operation constraints are set. The simulation is iterated for 8760 hours throughout the year, and the annual power abandonment rate is generated. in, The annual renewable energy power generation;

[0052] Taking the overall utilization rate of new energy, the proportion of new energy installed capacity and energy storage configuration as constraints, the optimal configuration scheme P is obtained. NE , expressed as:

[0053] r s,min ≤r s ≤r s,max ;

[0054] r u ≤1-λ;

[0055] P NE ≤P NE ≤P NE,max ;

[0056] P NE =P WIND +P SOLAR .

[0057] A source-grid-load-storage capacity configuration system without increasing the peak-to-valley difference rate, the system comprising a data acquisition module, a control strategy module and a solution output module:

[0058] The data acquisition module is used to obtain the operation data and cost-related data of the project, including the hourly data of power load, unit installed capacity output of new energy throughout the year, and the investment cost of new energy project construction, the operation and maintenance cost of new energy projects, and the cost of purchased electricity, and to set operation constraints based on the operation data, including the overall utilization rate of new energy, the proportion of energy storage configuration, the upper and lower limits of the new energy configuration scale, and the energy storage duration;

[0059] The control strategy module is used to construct a year-round hourly production operation simulation model based on a daily operation control strategy that does not increase the peak-to-valley difference rate. The daily operation control strategy includes adjustable load on-demand start and stop, reasonable energy storage operation, and active abandonment of new energy.

[0060] The scheme output module is based on a year-round hourly production and operation simulation model, with the goal of minimizing the total electricity cost of the project, with new energy installed capacity and energy storage configuration ratio as variables, and with new energy overall utilization rate, new energy installed capacity, and energy storage configuration ratio as constraints, to solve the optimal configuration scheme, including the recommended configuration scheme and the sequential configuration scheme.

[0061] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a source-grid-load-storage capacity configuration method without increasing the peak-to-valley difference rate as described in any one of the embodiments is implemented.

[0062] Compared with the prior art, the present invention has the following beneficial effects:

[0063] 1) The present invention provides a source-grid-load-storage capacity configuration method without increasing the peak-valley difference rate, including a daily operation control strategy that does not increase the peak-valley difference rate. The daily operation control strategy effectively controls the peak-valley difference rate of the power load through flexible start and stop of adjustable loads, optimized use of energy storage, and active abandonment of new energy, thereby reducing the peak-shaving pressure of the power system; by reasonably configuring new energy and energy storage equipment in the daily operation control strategy, and considering the output and load demand of new energy, without increasing the peak-valley difference rate, the utilization efficiency of new energy is improved, thereby reducing the abandonment of wind and solar power;

[0064] 2) The present invention provides a method for configuring source, grid, load and storage capacity without increasing the peak-to-valley difference rate. A year-round hourly production and operation simulation model is constructed based on a daily operation control strategy that does not increase the peak-to-valley difference rate. The model is solved by setting the optimization target of the year-round hourly production and operation simulation model. The optimal configuration scheme of the system is obtained based on the solution result of the simulation model. The present invention realizes intelligent management of the power system based on the accurate prediction and scheduling of the simulation model, improves the system's responsiveness to emergencies and scheduling flexibility; by optimizing the configuration scheme, the power system operating cost caused by the peak-to-valley difference is reduced, and the demand for purchased electricity is reduced, thereby reducing the overall electricity cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 This is a flow chart of a source-grid-load-storage capacity configuration method proposed by the present invention that does not increase the peak-to-valley difference rate;

[0066] Figure 2 This is a flow chart of the operation control strategy of a source-grid-load-storage project that does not increase the peak-to-valley difference rate, as proposed by the present invention;

[0067] Figure 3 It is a flow chart of solving the optimal configuration scheme of the system proposed by the present invention;

[0068] Figure 4 This is the operation status of a typical daily source-grid-load-storage integration project proposed by the present invention;

[0069] Figure 5 It is a comparison of the daily peak-to-valley difference rates of the external load of the project under different scenarios over multiple days proposed by the present invention. DETAILED DESCRIPTION

[0070] The specific implementation modes of the present invention are described below so that those skilled in the art can understand the present invention. However, it should be clear that the present invention is not limited to the scope of the specific implementation modes. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, these changes are obvious, and all inventions and creations utilizing the concept of the present invention are protected.

[0071] The present invention provides the following technical solution: a source-grid-load-storage capacity configuration method without increasing the peak-to-valley difference rate.

[0072] Example 1

[0073] This embodiment provides a method for configuring source-grid-load-storage capacity without increasing the peak-to-valley difference rate, and the specific steps include:

[0074] S1. Obtain the project's operating data and cost-related data, and set system operating constraints, including the overall utilization rate of new energy, energy storage configuration ratio, upper and lower limits of new energy configuration scale, and energy storage duration;

[0075] S11. Project operation data

[0076] The operation data includes the basic load P L(B)ij , the annual hourly data series P of wind power new energy unit installed capacity output WIND(pu)ij , the annual hourly data series P of photovoltaic new energy unit installed capacity output SOLAR(pu)ij and the maximum adjustable value of adjustable load P L(AD),max , where i represents the number of days, j represents the hour, 1≤i≤365, 1≤j≤24;

[0077] S12. Cost-related data

[0078] The cost-related data include the annual investment cost of wind power installed per unit of new energy C WINDin , Annual operation and maintenance cost of wind power installed capacity per unit of new energy C WINDop 、Annual investment cost of photovoltaic power generation per unit of new energy C SOLARin 、Annual operation and maintenance cost of photovoltaic power installed capacity per unit of new energy C SOLARop 、Annual investment cost of new energy unit installed energy storage C Sin 、Annual operation and maintenance cost of new energy unit installed energy storage C Sop and the cost of purchased electricity C P ;

[0079] S13. System operation constraints

[0080] The system operation constraints include the lower limit of the overall utilization rate of new energy u , energy storage configuration ratio r s The upper limit r s,max With the lower limit r s,min , New energy configuration scale P NE The upper limit P NE，max With the lower limit P NE,min , P WIND represents wind power installed capacity, P SOLAR represents the photovoltaic installed capacity and energy storage duration t.

[0081] S131, the lower limit of the overall utilization rate of the new energy u It refers to the proportion of the actual consumption of new energy to its total power generation within a specific period of time. This indicator reflects the project's ability to consume new energy;

[0082] S132. The energy storage configuration ratio refers to the ratio of energy storage installed capacity to the total installed capacity of new energy sources;

[0083] S133. The upper limit of the new energy configuration scale refers to the maximum scale that the system can support or achieve under certain conditions; the lower limit of the new energy configuration scale P NE,min It refers to the minimum scale that a system can support or achieve under specific conditions.

[0084] S2. Based on the daily operation control strategy that does not increase the peak-to-valley difference rate, a simulation model for hourly production operation throughout the year is constructed. The daily operation control strategy includes on-demand start and stop of adjustable loads, reasonable operation of energy storage, and active abandonment of new energy;

[0085] S21, Peak-to-Valley Difference

[0086] Peak-to-valley difference refers to the difference between the peak value (maximum value) and the valley value (minimum value) in the power load curve or power generation curve within a certain period of time. This indicator is used to measure the fluctuation range of load or power generation. A larger peak-to-valley difference means that the load changes greatly, and additional adjustment measures are needed to ensure the stability and reliability of the power grid.

[0087] The daily operation control strategy based on not increasing the peak-to-valley difference rate of the representation ensures that the peak-to-valley difference rate of the external representation load is not higher than the peak-to-valley difference rate of the total load, which can be expressed as:

[0088] D Li =(P Li,max -P Li,min ) / P Li,max ≥D RLi =(P RLi,max -P RLi,min ) / P RLi,max ;

[0089] Where D Li represents the daily peak-to-valley difference rate of the total load on the i-th day; D RLi represents the peak-to-valley difference rate of the external load on the i-th day after the adjustable load is started and stopped on demand, the energy storage is operated reasonably, and the new energy is actively abandoned; P Li,max represents the total load power after the base load and adjustable load are superimposed on the i-th day; P Li,min represents the minimum value of the total load power after the base load and adjustable load are superimposed on the i-th day; P RLi,maxThe maximum value of the load power represented externally on the ith day after the adjustable load is started and stopped on demand, the energy storage operates reasonably, and the new energy source actively abandons power; P RLi,min It represents the minimum value of the load power represented externally after the adjustable load is started and stopped on demand, the energy storage is operated reasonably, and the new energy is actively abandoned on the i-th day; P Lij It represents the total load power after the base load and adjustable load are superimposed on the jth hour of the i-th day, P Lij =P L(B)ij +P L(AD)ij ;P L(AD)ij represents the adjustable load power at the jth time on the i-th day;

[0090] S22, the control strategy includes an adjustable load on-demand start-stop strategy, a reasonable energy storage operation strategy, and a new energy active power abandonment strategy;

[0091] S221. The adjustable load on-demand start-stop strategy is to increase the power load and promote the consumption of new energy when the output of new energy is greater than the basic load. On the basis of improving the utilization rate of new energy, it reduces the peak load regulation pressure of energy storage. Specifically:

[0092] P RL(B)ij =P NEij -P L(B)ij ;

[0093] P NEij =P WINDij +P SOLARij ;

[0094] P WINDij =P WIND(pu)ij ×P WIND ;

[0095] P SOLARij =P SOLARij(pu) ×P SOLAR ;

[0096]

[0097] If P RL(B)ij -P RL(B)i,avr >P L(AD),max , then P L(AD)ij =P L(AD),max ;

[0098] If P L(AD),max >P RL(B)ij -P RL(B)i,avr >0, then P L(AD)ij =P RL(B)ij -P PL(B)i,avr ;

[0099] If P RL(B)ij -P RL(B)i,avr <0, then PL(AD)ij =0;

[0100] Among them, P RL(B)ij P represents the power profit or loss after deducting the base load from the output of renewable energy at the jth hour on the i-th day; NEij represents the output power of renewable energy at the jth hour on the i-th day; P WINDij represents the wind power output at the jth hour on the i-th day; P SOLARij represents the photovoltaic power output at the jth hour on the i-th day; P RL(B)i,avr P represents the i-th day RL(B)ij The average value of

[0101] S222. The reasonable operation strategy of the energy storage is to maintain the total load net power after deducting the output of new energy at the average value of the total load net power within 1:00-24:00, and achieve daily charge and discharge balance, specifically:

[0102] If P RL(B&AD)ij -P RL(B&AD)i,avr ≥0, then P Sij =-min{(P RL(B&D)ij -P RL(B&D)i,avr )*A si ,P S,max};

[0103] If P RL(B&AD)ij -P RL(B&AD)i,avr >0, then P Sij =min{|(P RL(B&D)ij -P RL(B&D)i,avr )|*A si ,P S,max};

[0104] P RL(B&AD)ij =P NEij -P L(B)ij -P L(AD)ij ;

[0105] P S,max =r s ×P NE ;

[0106] E s,max =P S,max ×t;

[0107]

[0108] Among them, P Sij represents the energy storage power at the jth time on the i-th day; P RL(B&AD)ij P represents the power profit or loss after the new energy output minus the total load at the jth hour of the i-th day; S,max Indicates the maximum power of energy storage; P RL(B&AD)i,avr P represents the i-th dayRL(B&AD)ij The average value of A si represents the energy storage output coefficient on the i-th day; E s,max Indicates the maximum capacity of energy storage;

[0109] S223, New Energy Active Power Abandonment Strategy

[0110] The active power abandonment strategy of new energy is to further reduce the peak-valley difference rate by reasonable power abandonment if the daily peak-valley difference rate is still larger than the original load peak-valley difference rate after considering the adjustable load and energy storage, until the system externally represents that the peak-valley difference rate is smaller than the original load peak-valley difference rate; the purpose of the active power abandonment strategy of new energy is, firstly, not to reverse power to the power grid, and secondly, after considering the adjustable load and energy storage, if the daily peak-valley difference rate is still larger than the original load peak-valley difference rate, further reduce the peak-valley difference rate by reasonable power abandonment, specifically:

[0111] P RL(B&AD&S)ij =P NEij -P Lij +P Sij ;

[0112] If P RL(B&AD&S)i,min ≥0, then P ABij =P RL(B&AD&S)ij ;

[0113] When P RL(B&AD&S)i,min <0, if P RL(B&AD&S)ij -P RL(B&AD&S)i,min *(1-ω Li )>0, then P ABij =P RL(B&AD&S)ij -P RL(B&AD&S)i,min *(1-ω Li );

[0114] If P RL(B&AD&S)ij -P RL(B&AD&S)i,min *(1-ω Li )≤0, then P ABij =0;

[0115] Among them, P ABij represents the power abandonment at the jth time on the i-th day; P RL(B&AD&S)ij P represents the power profit or loss of the new energy output at the jth time on the i-th day after deducting the total load and considering the impact of energy storage; RL(B&AD&S)i,min represents the P of the i-th day RL(B&AD&S)ij The minimum value of

[0116] Therefore, after the adjustable load starts and stops on demand, the energy storage operates reasonably, and the new energy actively abandons electricity, the external load power is expressed as P RLij =P L(B)ij +P L(AD)ij -P Sij -(PNEij -P ABij );

[0117] S23, production operation simulation model

[0118] The annual hourly production operation simulation model is a simulation tool used to simulate the hourly production process throughout the year, taking into account various possible production conditions, demand fluctuations and resource supply conditions throughout the year, and optimizing production scheduling through hourly calculations;

[0119] The annual hourly production operation simulation model takes the total electricity cost of the project as the objective function α, and the objective function is expressed as follows:

[0120] α1=P WIND ×C WINDin +P SOLAR ×C SOLARin +P S,max ×C Sin ;

[0121] α2=P WIND ×C WINDop +P SOLAR ×C SOLARop +P S,max ×C Sop ;

[0122]

[0123] minα=α1+α2+α3;

[0124] In the formula, α1 represents the investment cost of new energy project construction; α2 represents the operation and maintenance cost of new energy project; α3 represents the cost of purchased electricity.

[0125] S3. Taking the lowest total electricity cost of the project as the goal, and taking the proportion of new energy installed capacity and energy storage configuration as variables, solve the optimal configuration plan and obtain the recommended configuration plan and the sequential configuration plan;

[0126] S31, the optimal configuration solution solution method is specifically:

[0127] Based on the daily operation control strategy that does not increase the peak-to-valley difference rate, the operation data of the project is input into the annual hourly production operation simulation model, and the operation constraints are set. The simulation is iterated for 8760 hours throughout the year, and the annual power abandonment rate is generated. in, The annual renewable energy power generation;

[0128] The optimal configuration solution method is based on the overall utilization rate of new energy, the proportion of new energy installed capacity and energy storage configuration as constraints to obtain the optimal configuration solution P NE , expressed as:

[0129] r s,min ≤r s ≤r s,max ;

[0130] r u ≤1-λ;

[0131] P NE ≤P NE ≤P NE,max ;

[0132] P NE =P WIND +P SOLAR ;

[0133] S311, the specific solution process is:

[0134] Step S01: Initializing the installed capacity of new energy, the initial value of the installed capacity of new energy is between the upper limit and the lower limit of the configuration scale of new energy;

[0135] Step S02: Initializing the energy storage configuration ratio, wherein the initial value of the energy storage configuration ratio is between an upper limit and a lower limit of the energy storage configuration ratio;

[0136] Step S03: Calculate the ratio of wind power and photovoltaic power installed capacity; the optimization target of the ratio is to minimize the sum of the absolute value of power profit and loss of new energy output after deducting the basic load during the calculation period, that is, minS RL(B)ij =Σ|P RL(B)ij |;

[0137] Step S031: Initialize the wind power installed capacity configuration ratio, the value is between 0 and 1, and the sum of the wind power installed capacity configuration ratio and the photovoltaic installed capacity configuration ratio is 1;

[0138] Step S032: Calculate the S under the new energy installed capacity, the wind power installed configuration ratio and the wind power installed configuration ratio before and after the sequence value RL(B)ij ;

[0139] Set the update step size, the preceding value of the wind power installed configuration ratio is the current wind power installed configuration ratio minus the wind power installed configuration ratio update step size, and the succeeding value of the wind power installed configuration ratio is the current wind power installed configuration ratio plus the wind power installed configuration ratio update step size;

[0140] Step S033: Compare S under the current wind power configuration ratio RL(B)ij Is it lower than the previous and next values ​​of the wind power configuration ratio? If so, proceed to the next step; if not, the wind power configuration ratio is updated to the previous and next values. RL(B)ij A lower value, and returns to step S032;

[0141] Step S04: inputting the new energy installed capacity and the preceding and following values ​​of the new energy installed capacity, the energy storage configuration ratio and the preceding and following values ​​of the energy storage configuration ratio into the annual hourly production operation simulation model, performing production simulation, and outputting the annual power abandonment rate and the total electricity cost of the project;

[0142] Set the update step length, the preceding value of the new energy installed capacity is the current new energy installed capacity minus the new energy installed capacity update step length, and the succeeding value of the new energy installed capacity is the current new energy installed capacity plus the new energy installed capacity update step length; the preceding value of the energy storage configuration ratio is the current new energy installed capacity minus the energy storage configuration ratio update step length, and the succeeding value of the energy storage configuration ratio is the current new energy installed capacity plus the energy storage configuration ratio update step length;

[0143] Step S05: Determine whether the annual power abandonment rate meets the overall utilization rate constraint requirement of the new energy source; if so, proceed to the next step; if not, determine whether the current energy storage configuration ratio is higher than the upper limit of the energy storage configuration ratio; if so, update the new energy configuration scale to the previous value of the new energy installed capacity and return to step S02; otherwise, update the energy storage configuration ratio to the value with the smaller power abandonment rate between the previous value and the subsequent value of the energy storage configuration ratio, and return to step S04;

[0144] Step S06: determine whether the total electricity cost of the project under the current energy storage configuration ratio is lower than the previous and subsequent values ​​of the energy storage configuration ratio. If so, proceed to the next step; if not, update the energy storage configuration ratio to the lower value of the total electricity cost of the project in the previous and subsequent sequences, and return to step S04;

[0145] Step S07: Determine whether the total electricity cost of the project under the current new energy installed capacity is lower than the preceding value and the succeeding value of the new energy installed capacity. If so, the solution is completed, and the optimal configuration scheme is the current new energy installed capacity and the energy storage configuration ratio; if not, the new energy installed capacity is updated to the lower value of the total electricity cost of the project between the preceding value and the succeeding value of the new energy installed capacity, and return to step S02.

[0146] Example 2

[0147] For this embodiment, the maximum annual power load under normal operation of the project is 299.7MW and the minimum is 189.8MW. The maximum power load under maintenance is 200.9MW and the minimum is 125.6MW. The annual power consumption is 2.24 billion kWh. After considering the adjustable power load, the maximum daily peak-to-valley difference of the power load is about 32%. The annual utilization hours of wind power in the region are 2497 hours, and the utilization hours of photovoltaic power are 1944 hours.

[0148] The lower limit of the overall utilization rate of new energy is 90%, and the upper limit is 100%. The upper limit of the energy storage configuration ratio is 40%, and the lower limit is 10%. The upper limit of the new energy configuration scale is twice the annual maximum electricity load, and the lower limit is the annual maximum electricity load. Based on the hourly production and operation simulation model throughout the year, the step length of the new energy installed capacity update is 10MW, and the step length of the energy storage configuration ratio update is 1%;

[0149] According to the optimization results, the recommended configuration scheme and the sequential configuration schemes are output as shown in Table 1. As can be seen from Table 1, the total annual electricity cost of the recommended scheme is lower than that of the sequential schemes, indicating that there is an optimal solution for the energy storage configuration ratio and the new energy configuration scale, which makes the total annual electricity cost of the project the lowest.

[0150]

[0151]

[0152] Set the project scale to the recommended configuration scheme. The operation of a typical day project is as follows Figure 4 As shown in the figure, the power of the new energy output at 3, 4 and 7-14 o'clock after deducting the basic load is still higher than the daily average, so the adjustable load is started; on the basis of the adjustable load, the energy storage is adjusted according to the difference between the power profit and loss of the new energy output and the average after deducting the total load. The energy storage charging on this day is mainly concentrated in 7-15 o'clock, and the discharge is concentrated in 16-23 o'clock; finally, in order not to increase the peak-shaving pressure of the power grid, the new energy actively abandons power, and the abandonment time is mainly concentrated in 7-15 o'clock; the original peak-to-valley difference rate of the basic load on this day is 32%. After adopting a source-grid-load-storage integrated project operation control strategy proposed in this project that does not increase the peak-to-valley difference rate, the peak-to-valley difference rate remains at 32%, the abandonment rate on this day is 9.1%, and the new energy substitution rate reaches 60.9%; the hourly power control situation of this typical day is shown in Table 2, where positive energy storage power indicates discharge and negative energy storage power indicates charging.

[0153]

[0154]

[0155] Assuming that the project scale is the recommended configuration scheme, two daily operation control strategies are adopted as scenario 1 and scenario 2 respectively. Scenario 1 adopts the daily operation control strategy of the present invention that does not increase the peak-to-valley difference rate, and scenario 2 adopts the traditional daily operation control strategy, which is:

[0156] 1) Adjustable load: It is enabled when there is a power surplus after deducting the base load from the output of new energy;

[0157] 2) Energy storage operation: After deducting the total load from the output of new energy, if there is a power surplus, it will be charged; if there is a power gap, it will be discharged;

[0158] 3) New energy power abandonment: After considering adjustable load and energy storage, power abandonment is carried out when there is still a surplus of new energy output.

[0159] Figure 5 It is a comparison of the peak-to-valley difference rate of the external load of the project under different scenarios for multiple days, namely the original load peak-to-valley difference rate, the peak-to-valley difference rate of scenario 1, and the peak-to-valley difference rate of scenario 2. Figure 5 It can be seen that compared with the results of adopting the traditional daily operation control strategy, after adopting the daily operation control strategy of the present invention that does not increase the representation peak-valley difference rate, the daily peak-valley difference rate of the external representation load will be effectively reduced, mainly reflected in: First, the highest peak-valley difference rate is reduced from 100% to 32%; second, in 365 days, the number of days with a daily peak-valley difference rate larger than the original load peak-valley difference rate is reduced from 364 days to 0. After adopting the control strategy of the present invention, there are 229 days with a daily peak-valley difference rate that is equal to the original load peak-valley difference rate, and 136 days with a daily peak-valley difference rate that is smaller than the original load peak-valley difference rate.

[0160] Example 3

[0161] A source-grid-load-storage capacity configuration system without increasing the peak-to-valley difference rate, the system comprising a data acquisition module, a control strategy module and a solution output module:

[0162] The data acquisition module is used to obtain the operation data and cost-related data of the project, including the hourly data of power load, unit installed capacity output of new energy throughout the year, and the investment cost of new energy project construction, the operation and maintenance cost of new energy projects, and the cost of purchased electricity, and to set operation constraints based on the operation data, including the overall utilization rate of new energy, the proportion of energy storage configuration, the upper and lower limits of the new energy configuration scale, and the energy storage duration;

[0163] The control strategy module is used to construct a year-round hourly production operation simulation model based on a daily operation control strategy that does not increase the peak-to-valley difference rate. The daily operation control strategy includes adjustable load on-demand start and stop, reasonable energy storage operation, and active abandonment of new energy.

[0164] The scheme output module is based on a year-round hourly production and operation simulation model, with the goal of minimizing the total electricity cost of the project, with new energy installed capacity and energy storage configuration ratio as variables, and with new energy overall utilization rate, new energy installed capacity, and energy storage configuration ratio as constraints, to solve the optimal configuration scheme, including the recommended configuration scheme and the sequential configuration scheme.

[0165] Example 4

[0166] This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, a source-grid-load-storage capacity configuration method without increasing the peak-to-valley difference rate as described in any one of Embodiment 1 is implemented.

[0167] It is worth noting that the system, electronic device and computer-readable storage medium described in the present invention are based on the same principles as the method described in Example 1, and will not be described in detail here.

[0168] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for configuring source-grid-load-storage capacity without increasing the peak-to-valley difference rate, characterized in that: The method comprises: Obtaining the project's operating data and cost-related data, and setting system operating constraints, including the overall utilization rate of new energy, energy storage configuration ratio, upper and lower limits of new energy configuration scale, and energy storage duration; Based on the daily operation control strategy that does not increase the peak-to-valley difference rate, a year-round hourly production operation simulation model is constructed. The daily operation control strategy includes on-demand start and stop of adjustable loads, reasonable operation of energy storage, and active abandonment of new energy. With the goal of minimizing the total electricity cost of the project and the proportion of new energy installed capacity and energy storage configuration as variables, the optimal configuration plan is solved to obtain the recommended configuration plan and the sequential configuration plan.

2. A source-grid-load-storage capacity configuration method without increasing the peak-to-valley difference rate according to claim 1, characterized in that: Obtain the project's operating data and cost-related data, and set system operating constraints based on the operating data, specifically: The operation data includes the basic load P L(B)ij , the annual hourly data series P of wind power new energy unit installed capacity output WIND(pu)ij , the annual hourly data series P of photovoltaic new energy unit installed capacity output SOLAR(pu)ij and adjustable load maximum adjustable value P L(AD),max , where i represents the number of days, j represents the hour, 1≤i≤365, 1≤j≤24; The cost-related data include the annual investment cost of wind power installed per unit of new energy C WINDin , Annual operation and maintenance cost of wind power installed capacity per unit of new energy C WINDop 、Annual investment cost of photovoltaic power generation per unit of new energy C SOLARin 、Annual operation and maintenance cost of photovoltaic power installed capacity per unit of new energy C SOLARop 、Annual investment cost of new energy unit installed energy storage C Sin 、Annual operation and maintenance cost of new energy unit installed energy storage C Sop and the cost of purchased electricity C P ; The system operation constraints include the lower limit of the overall utilization rate of new energy u , energy storage configuration ratio r s The upper limit r s,max With the lower limit r s,min 、New energy configuration scale P NE The upper limit P NE，max With the lower limit P NE,min , P WIND represents wind power installed capacity, P SOLAR represents the photovoltaic installed capacity and energy storage duration t.

3. A source-grid-load-storage capacity configuration method without increasing the peak-to-valley difference rate according to claim 2, characterized in that: The daily operation control strategy based on not increasing the peak-to-valley difference rate of the representation is to ensure that the peak-to-valley difference rate of the external representation load is not higher than the peak-to-valley difference rate of the total load by starting and stopping the adjustable load on demand, operating the energy storage reasonably, and actively abandoning the power of new energy. The formula is: D Li =(P Li,max -P Li,min ) / P Li,max ≥D RLi =(P RLi,max -P RLi,min ) / P RLi,max ; Where D Li represents the daily peak-to-valley difference rate of the total load on the i-th day; D RLi represents the peak-to-valley difference rate of the external load on the i-th day after the adjustable load is started and stopped on demand, the energy storage is operated reasonably, and the new energy is actively abandoned; P Li,max represents the total load power after the base load and adjustable load are superimposed on the i-th day; P Li,min represents the minimum value of the total load power after the base load and adjustable load are superimposed on the i-th day; P RLi,max The maximum value of the load power represented externally on the ith day after the adjustable load is started and stopped on demand, the energy storage operates reasonably, and the new energy source actively abandons power; P RLi,min It represents the minimum value of the load power represented externally after the adjustable load is started and stopped on demand, the energy storage is operated reasonably, and the new energy is actively abandoned on the i-th day; P Lij It represents the total load power after the base load and adjustable load are superimposed on the jth hour of the i-th day, P Lij =P L(B)ij +P L(AD)ij ;P L(AD)ij It represents the adjustable load power at the jth time on the i-th day.

4. A source-grid-load-storage capacity configuration method without increasing the peak-to-valley difference rate according to claim 3, characterized in that: The adjustable load on-demand start-stop strategy is specifically: P RL(B)ij =P NEij -P L(B)ij ; P NEij =P WINDij +P SOLARij ; P WINDij =P WIND(pu)ij ×P WIND ; P SOLARij =P SOLARij(pu) ×P SOLAR ; If P RL(B)ij -P RL(B)i,avr >P L(AD),max , then P L(AD)ij =P L(AD),max ; If P L(AD),max >P RL(B)ij -P RL(B)i,avr >0, then P L(AD)ij =P RL(B)ij -P PL(B)i,avr ; If P RL(B)ij -P RL(B)i,avr <0, then P L(AD)ij =0; Among them, P RL(B)ij P represents the power profit or loss after deducting the base load from the output of renewable energy at the jth hour on the i-th day; NEij represents the output power of renewable energy at the jth hour on the i-th day; P WINDij represents the wind power output at the jth hour on the i-th day; P SOLARij represents the photovoltaic power output at the jth hour on the i-th day; P RL(B)i,avr P represents the i-th day RL(B)ij The average value of .

5. A method for configuring source-grid-load-storage capacity without increasing the peak-to-valley difference rate according to claim 4, characterized in that: Reasonable operation strategy of energy storage, specifically: If P RL(B&AD)ij -P RL(B&AD)i,avr ≥0, then P Sij =-min{(P RL(B&D)ij -P RL(B&D)i,avr )*A si ,P S,max }; If P RL(B&AD)ij -P RL(B&AD)i,avr >0, then P Sij =min{|(P RL(B&D)ij -P RL(B&D)i,avr )|*A si ,P S,max }; P RL(B&AD)ij =P NEij -P L(B)ij -P L(AD)ij ; P S,max =r s ×P NE ; AND s,max =P S,max ×t; Among them, P Sij represents the energy storage power at the jth time on the i-th day; P RL(B&AD)ij P represents the power profit or loss after the new energy output minus the total load at the jth hour of the i-th day; S,max Indicates the maximum power of energy storage; P RL(B&AD)i,avr P represents the i-th day RL(B&AD)ij The average value of A si represents the energy storage output coefficient on the i-th day; E s,max Indicates the maximum energy storage capacity.

6. A source-grid-load-storage capacity configuration method without increasing the peak-to-valley difference rate according to claim 5, characterized in that: The strategy of active power abandonment of new energy is as follows: P RL(B&AD&S)ij =P NEij -P Lij +P Sij ; If P RL(B&AD&S)i,min ≥0, then P ABij =P RL(B&AD&S)ij ; When P RL(B&AD&S)i,min <0, if P RL(B&AD&S)ij -P RL(B&AD&S)i,min *(1-ω Li )>0, then P ABij =P RL(B&AD&S)ij -P RL(B&AD&S)i,min *(1-ω Li ); If P RL(B&AD&S)ij -P RL(B&AD&S)i,min *(1-ω Li )≤0, then P ABij =0; Among them, P ABij represents the power abandonment at the jth time on the i-th day; P RL(B&AD&S)ij P represents the power profit or loss of the new energy output at the jth time on the i-th day after deducting the total load and considering the impact of energy storage; RL(B&AD&S)i,min represents the P of the i-th day RL(B&AD&S)ij The minimum value of .

7. A source-grid-load-storage capacity configuration method without increasing the peak-to-valley difference rate according to claim 6, characterized in that: Based on the daily operation control strategy that does not increase the peak-to-valley difference rate, a full-year hourly production operation simulation model is constructed, specifically: After the adjustable load is started and stopped on demand, the energy storage is operated reasonably, and the new energy is actively abandoned, the external load power is expressed as P RLij =P L(B)ij +P L(AD)ij -P Sij -(P NEij -P ABij ); The annual hourly production operation simulation model aims to minimize the total electricity cost α of the project, which can be expressed as follows: α1=P WIND ×C WINDin +P SOLAR ×C SOLARin +P S,max ×C Sin ; α2=P WIND ×C WINDop +P SOLAR ×C SOLARop +P S,max ×C Sop ; minα=α1+α2+α3; In the formula, α1 represents the investment cost of new energy project construction; α2 represents the operation and maintenance cost of new energy project; α3 represents the cost of purchased electricity.

8. A method for configuring source-grid-load-storage capacity without increasing the peak-to-valley difference rate according to claim 7, characterized in that: The method for solving the optimal configuration solution is specifically as follows: Based on the daily operation control strategy that does not increase the peak-to-valley difference rate, the operation data of the project is input into the annual hourly production operation simulation model, and the operation constraints are set. The simulation is iterated for 8760 hours throughout the year, and the annual power abandonment rate is generated. in, The annual renewable energy power generation; Taking the overall utilization rate of new energy, the proportion of new energy installed capacity and energy storage configuration as constraints, the optimal configuration scheme P is obtained. NE , expressed as: r s,min ≤r s ≤r s,max ； r u ≤1-λ; P NE ≤P NE ≤P NE,max ; P NE =P WIND +P SOLAR 。 9. A source-grid-load-storage capacity configuration system that does not increase the peak-to-valley difference rate, characterized in that: The system includes a data acquisition module, a control strategy module and a solution output module: The data acquisition module is used to obtain the operation data and cost-related data of the project, including the hourly data of power load, unit installed capacity output of new energy throughout the year, and the investment cost of new energy project construction, the operation and maintenance cost of new energy projects, and the cost of purchased electricity, and to set operation constraints based on the operation data, including the overall utilization rate of new energy, the proportion of energy storage configuration, the upper and lower limits of the new energy configuration scale, and the energy storage duration; The control strategy module is used to construct a year-round hourly production operation simulation model based on a daily operation control strategy that does not increase the peak-to-valley difference rate. The daily operation control strategy includes adjustable load on-demand start and stop, reasonable energy storage operation, and active abandonment of new energy. The scheme output module is based on a year-round hourly production and operation simulation model, with the goal of minimizing the total electricity cost of the project, with new energy installed capacity and energy storage configuration ratio as variables, and with new energy overall utilization rate, new energy installed capacity, and energy storage configuration ratio as constraints, to solve the optimal configuration scheme, including the recommended configuration scheme and the sequential configuration scheme.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, it implements a source-grid-load-storage capacity configuration method that does not increase the peak-to-valley difference rate as described in any one of claims 1 to 8.

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