A method and system for evaluating and regulating a power grid

Abstract

The present invention proposes a power grid evaluation and regulation method and system, which obtains historical operation data and real-time operation data of the power grid to be evaluated, constructs a new energy consumption evaluation model and sets constraints for the new energy consumption evaluation model, calculates the new energy utilization rate, and obtains the new energy consumption capacity evaluation result of the power grid to be evaluated by comparing with the optimal new energy utilization rate and judging the new energy consumption capacity of the power grid to be evaluated according to the new energy utilization rate. According to the new energy consumption capacity evaluation result of the power grid to be evaluated, the new energy consumption evaluation result is updated by the Harris Eagle algorithm until the preset requirements are met, and the power grid operation parameters are adjusted according to the updated new energy consumption evaluation result. The problem of low accuracy of power grid regulation due to inaccurate evaluation results in the prior art is solved. The accuracy of the final power grid regulation is improved by improving the accuracy of the evaluation results.

Description

Technical Field

[0001] The present invention relates to the technical field of active power distribution network operation analysis, and in particular to a power grid evaluation and regulation method and system. Background Art

[0002] In recent years, large-scale wind power, photovoltaic power and other zero-carbon emission and zero marginal cost new energy sources have been accelerated to connect to the grid, and gradually developed into the mainstream power source of many countries' power systems. However, due to the non-dispatch capability, weak grid-connected performance, low inertia and low short-circuit capacity of wind and solar power and other new energy units, as well as the constraints of grid security and stability, power market mechanism and other factors, the power system still faces severe challenges in carrying large-scale new energy.

[0003] At present, the main technical means for evaluating the grid's absorption capacity is to use a time-series production simulation model to simulate the grid operation in each period to evaluate the load demand for new energy under the existing grid structure. However, due to the change in grid strength after the addition of new energy, the output of new energy often cannot be fully delivered, resulting in the evaluation results of the existing time-series generation simulation model being too large and not in line with the actual grid operation plan. The main technical means for grid regulation is to achieve direct control of adjustable loads through proxy user control. Due to the low accuracy of the evaluation results, the accuracy of grid regulation is not high, which increases the load on grid operation and is not conducive to the safe development of the power system. Summary of the invention

[0004] Based on the above problems, the present invention proposes a power grid assessment and regulation method and system to solve the problem in the prior art that the power grid regulation accuracy is low due to inaccurate assessment results.

[0005] To achieve the above-mentioned purpose, an embodiment of the present invention provides a power grid evaluation and adjustment method, comprising: obtaining historical operation data and real-time operation data of a power grid to be evaluated;

[0006] According to the historical operation data, a new energy consumption evaluation model is constructed and constraints are set for the new energy consumption evaluation model;

[0007] According to the new energy consumption evaluation model, the real-time operation data is calculated and processed to obtain the new energy utilization rate;

[0008] According to the new energy utilization rate, by comparing with the optimal new energy utilization rate and judging the new energy consumption capacity of the power grid to be evaluated, an evaluation result of the new energy consumption capacity of the power grid to be evaluated is obtained; wherein the optimal new energy utilization rate is obtained by screening and optimizing the Harris Eagle algorithm;

[0009] According to the evaluation result of the new energy consumption capacity of the power grid to be evaluated, the new energy consumption evaluation result is updated by the Harris Eagle algorithm until the preset requirements are met, and the power grid operation parameters are adjusted according to the updated new energy consumption evaluation result.

[0010] A power grid assessment and regulation method proposed in an embodiment of the present invention constructs a new energy consumption assessment model by combining historical operation data, calculates real-time operation data to obtain new energy utilization rate, and then screens out the optimal new energy utilization rate through the Harris Eagle algorithm, and obtains the evaluation result of the power grid absorption capacity after comparison; sets constraints on the model so that the processing result is suitable for the operation scenario, improves the accuracy of data processing by incorporating multiple types of data, and then introduces the Harris Eagle algorithm to screen and optimize parameters, so that the final evaluation result has higher accuracy, and combines more accurate evaluation results to improve the accuracy of the final power grid regulation.

[0011] Furthermore, the new energy consumption evaluation model is constructed based on the historical operation data and constraints are set for the new energy consumption evaluation model, specifically:

[0012] Constructing a new energy consumption assessment model based on the historical operation data;

[0013] The new energy consumption evaluation model includes: a new energy power generation model, a new energy utilization model and a system operation cost model;

[0014] Establish constraints on the new energy consumption assessment model.

[0015] Furthermore, the constraints set for the new energy consumption assessment model are specifically:

[0016] According to the operating environment of the new energy consumption evaluation model, corresponding constraints are respectively established for the new energy power generation model, the new energy utilization model and the system operation cost model;

[0017] Among them, the constraints include: the output of conventional units, the real-time output of new energy stations, the power of interconnection lines, the minimum technical output of conventional units, the maximum technical output of conventional units, the upper and lower limits of the ramp rate of conventional units, the minimum and maximum power limits of external transmission interconnection lines, the theoretical maximum output of new energy stations, node voltage constraints, power balance constraints and power supply reliability constraints.

[0018] Furthermore, the real-time operation data is calculated and processed according to the new energy consumption evaluation model to obtain the new energy utilization rate, which is specifically:

[0019] According to the real-time operation data, the data is input into the new energy power generation model to calculate the power consumption and obtain the maximum power consumption value;

[0020] According to the real-time operation data, the new energy utilization rate is obtained by combining the new energy utilization rate model with the maximum power consumption value for calculation and processing.

[0021] Furthermore, the real-time operation data is input into the new energy power generation model to calculate the power consumption to obtain the maximum power consumption value, and further includes:

[0022] The maximum power consumption value is obtained by summing up the actual power consumption of the new energy field in several preset time periods;

[0023] The actual amount of electricity consumed by the new energy field in a number of preset time periods is obtained by integrating the actual power consumed by the new energy field in a number of preset time periods.

[0024] Furthermore, the method of obtaining the new energy utilization rate by calculating and processing the new energy utilization rate model in combination with the maximum power consumption value according to the real-time operation data also includes:

[0025] The new energy utilization rate is calculated based on the ratio of the maximum power consumption value to the theoretical power consumption value.

[0026] Furthermore, according to the new energy utilization rate, by comparing with the optimal new energy utilization rate and judging the new energy consumption capacity of the power grid to be evaluated, an evaluation result of the new energy consumption capacity of the power grid to be evaluated is obtained; wherein, the optimal new energy utilization rate is obtained by screening and optimizing the Harris Eagle algorithm, specifically:

[0027] The new energy utilization rate is screened and optimized according to the Harris Eagle algorithm to obtain the optimal new energy utilization rate;

[0028] Calculating the difference between the new energy utilization rate and the optimal new energy utilization rate to obtain a new energy consumption assessment result;

[0029] According to the new energy consumption assessment result, the new energy consumption capacity of the power grid to be assessed is judged to obtain the new energy consumption capacity assessment result of the power grid to be assessed.

[0030] Furthermore, the new energy consumption capacity of the power grid to be evaluated is judged according to the new energy consumption evaluation result, and the new energy consumption capacity evaluation result of the power grid to be evaluated is obtained, which is specifically:

[0031] When it is determined that the new energy consumption assessment result is positive, a first assessment result is obtained;

[0032] When it is determined that the new energy consumption assessment result is negative, a second assessment result is obtained.

[0033] Furthermore, according to the evaluation result of the new energy consumption capacity of the power grid to be evaluated, the new energy consumption evaluation result is updated by the Harris Eagle algorithm until the preset requirements are met, and the power grid operation parameters are adjusted, specifically:

[0034] According to the first assessment results, control the grid to increase the scale of new energy installed capacity;

[0035] According to the second evaluation result, according to the Harris Eagle algorithm, a new objective function and grid demand load are introduced to update the new energy consumption evaluation result until the preset requirements are met; wherein the grid demand load includes: fixed load, movable load and disconnectable load;

[0036] The grid operation parameters are adjusted according to the updated new energy consumption assessment results.

[0037] A power grid assessment and regulation method proposed in an embodiment of the present invention improves the re-planning of the optimal absorption capacity after adding demand response loads, provides auxiliary reference suggestions for power grid regulation, and in power grid regulation, improves the load fluctuation curve through movable loads and disconnectable loads to make it closer to the new energy output curve, so that the absorption assessment result updated by the new objective function is more conducive to improving the accuracy of power grid regulation and scheduling.

[0038] The present invention also provides a power grid assessment and regulation system, comprising: a data acquisition module, a model building module, a new energy utilization rate calculation module, an assessment result generation module and a power grid regulation module;

[0039] The data acquisition module is used to acquire historical operation data and real-time operation data of the power grid to be evaluated;

[0040] The model building module is used to build a new energy consumption evaluation model based on the historical operation data and set constraints on the new energy consumption evaluation model;

[0041] The new energy utilization rate calculation module is used to calculate and process the real-time operation data according to the new energy consumption evaluation model to obtain the new energy utilization rate;

[0042] The evaluation result generation module is used to obtain the evaluation result of the new energy consumption according to the new energy utilization rate by comparing it with the optimal new energy utilization rate, and judge the new energy consumption capacity of the power grid to be evaluated, so as to obtain the evaluation result of the new energy consumption capacity of the power grid to be evaluated; wherein, the optimal new energy utilization rate is obtained by screening and optimizing the Harris Eagle algorithm;

[0043] The grid regulation module is used to update the new energy consumption assessment result of the grid to be assessed through the Harris Eagle algorithm until the preset requirements are met, and adjust the grid operation parameters according to the updated new energy consumption assessment result.

[0044] A power grid evaluation and regulation system proposed in an embodiment of the present invention retrieves data through a model construction module to construct a new energy absorption capacity evaluation model and sets constraints, then compares the new energy utilization rate with the Harris Eagle algorithm to select the optimal new energy utilization rate, and generates a power grid new energy absorption capacity evaluation result by an evaluation result generation module, and continuously updates the absorption capacity evaluation result until the preset requirements are met, thereby greatly improving the accuracy of the new energy absorption capacity evaluation result, so that more accurate new energy absorption capacity evaluation results can be referred to during the power grid regulation and scheduling process, making the power grid regulation more accurate and reducing the power grid operation load.

[0045] Furthermore, the model building module is used to build a new energy consumption evaluation model based on the historical operation data and set constraints for the new energy consumption evaluation model, and also includes:

[0046] Evaluation model building unit and constraint setting unit;

[0047] The evaluation model building unit is used to build a new energy consumption evaluation model according to the historical operation data; wherein the new energy consumption evaluation model includes: a new energy power generation model, a new energy utilization rate model and a system operation cost model;

[0048] The constraint condition establishing unit is used to establish constraint conditions for the new energy consumption evaluation model.

[0049] Furthermore, the new energy utilization rate calculation module is used to calculate and process the real-time operation data according to the new energy consumption evaluation model to obtain the new energy utilization rate, and also includes:

[0050] a first data processing unit and a second data processing unit;

[0051] The first data processing unit is used to input the real-time operation data into the new energy power generation model to perform power consumption calculation processing to obtain the maximum power consumption value;

[0052] The second data processing unit is used to obtain the new energy utilization rate according to the real-time operation data through a new energy utilization rate model combined with the maximum power consumption value.

[0053] Further, the evaluation result generation module is used to obtain a new energy consumption evaluation result and judge the new energy consumption capacity of the power grid to be evaluated according to the new energy utilization rate by comparing it with the optimal new energy utilization rate, and obtain the new energy consumption capacity evaluation result of the power grid to be evaluated; wherein the optimal new energy utilization rate is obtained by screening and optimizing the Harris Eagle algorithm, and also includes:

[0054] A third data processing unit, a fourth data processing unit and an evaluation result output unit;

[0055] The third data processing unit is used for screening and optimizing the new energy utilization rate according to the Harris Eagle algorithm to obtain the optimal new energy utilization rate;

[0056] The fourth data processing unit is used to calculate the difference between the new energy utilization rate and the optimal new energy utilization rate to obtain a new energy consumption assessment result;

[0057] The evaluation result output unit is used to determine the new energy consumption capacity of the power grid to be evaluated according to the new energy consumption evaluation result, and obtain the new energy consumption capacity evaluation result of the power grid to be evaluated.

[0058] Further, the evaluation result output unit is used to determine the new energy consumption capacity of the power grid to be evaluated according to the new energy consumption evaluation result, and obtain the new energy consumption capacity evaluation result of the power grid to be evaluated, and also includes:

[0059] a first result output subunit and a second result output subunit;

[0060] The first result output subunit is used to obtain a first evaluation result when it is determined that the new energy consumption evaluation result is positive;

[0061] The second result output subunit is used to obtain a second evaluation result when it is determined that the new energy consumption evaluation result is negative.

[0062] Further, the power grid regulation module is used to update the new energy consumption evaluation result through the Harris Eagle algorithm according to the new energy consumption capacity evaluation result of the power grid to be evaluated until the preset requirements are met, and adjust the power grid operation parameters according to the updated new energy consumption evaluation result, and also includes:

[0063] a first control unit, a result updating unit, and a second control unit;

[0064] The first control unit is used to control the power grid to increase the scale of new energy installed capacity according to the first evaluation result;

[0065] The result updating unit is used to update the new energy consumption evaluation result according to the second evaluation result and the Harris Eagle algorithm by introducing a new objective function and a grid demand load until a preset requirement is met; wherein the grid demand load includes: a fixed load, a movable load and a disconnectable load;

[0066] The second control unit is used to adjust the grid operation parameters according to the updated new energy consumption assessment results. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 A schematic diagram of a flow chart of steps of a power grid assessment and adjustment method provided in one embodiment of the present invention;

[0068] Figure 2 A schematic diagram of the module structure of a power grid assessment and regulation system provided in one embodiment of the present invention;

[0069] Figure 3 A schematic diagram of a model building module structure of a power grid assessment and regulation system provided by an embodiment of the present invention;

[0070] Figure 4 A schematic diagram of a new energy utilization rate calculation module structure of a power grid evaluation and regulation system provided in one embodiment of the present invention;

[0071] Figure 5 A schematic diagram of the structure of an evaluation result generation module of a power grid evaluation and regulation system provided in one embodiment of the present invention;

[0072] Figure 6 A schematic diagram of the structure of an evaluation result output unit of a power grid evaluation and regulation system provided in one embodiment of the present invention;

[0073] Figure 7 A schematic diagram of the structure of a power grid regulation module of a power grid assessment and regulation system provided in one embodiment of the present invention;

[0074] Figure 8 A schematic flow chart of the steps of a Harris Eagle algorithm for a power grid assessment and regulation method provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0075] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0076] Example 1

[0077] See also Figure 1 , Figure 1 A schematic diagram of a flow chart of the steps of a power grid assessment and adjustment method provided by an embodiment of the present invention. Figure 1 As shown, the present invention proposes a power grid assessment and adjustment method, including steps 101 to 105, each step is specifically as follows:

[0078] Step 101, obtaining historical operation data and real-time operation data of the power grid to be evaluated;

[0079] As an example of this embodiment, the historical parameter data include the theoretical power generation capacity of each new energy station, fuel consumption and fuel price (including transportation costs) of coal-fired power, gas-fired power, nuclear power and biomass power generation, start-stop costs, fixed operating costs and installed capacity, variable operating cost coefficient, unit pollutant emission cost coefficient and emission coefficient, and policy-related demand response costs; the real-time operating data include: the real-time power generation capacity of each new energy station.

[0080] Step 102, constructing a new energy consumption evaluation model based on the historical operation data and setting constraints for the new energy consumption evaluation model;

[0081] As an example of this embodiment, a new energy consumption evaluation model is constructed based on the historical operation data;

[0082] The new energy consumption evaluation model includes: a new energy power generation model, a new energy utilization model and a system operation cost model;

[0083] As another example of this embodiment, the establishment of a new energy power generation model is specifically as follows: within a certain time scale, the actual power generation of new energy E K , as follows:

[0084]

[0085]

[0086] Where: , Respectively represent the new energy station i in the kth time period The actual amount of electricity consumed and the actual power consumed.

[0087] The model for determining the utilization rate of new energy is as follows: Defined as the actual electricity generation of renewable energy Theoretical power generation of new energy The ratio of

[0088]

[0089] The system operation cost model is determined as follows:

[0090] The goal of this model is to find the minimum total cost of the system during the operation period while meeting the system requirements. Z represents the total cost. The new objective function is:

[0091]

[0092] in, represents the minimum cost during the operation period, I represents the total fuel cost during the operation period, S represents the start-stop cost during the operation period, F represents the fixed operating cost of the system during the operation period, and V represents the variable operating cost of the system during the operation period. represents the system emission cost during operation, represents the demand-side response cost during operation, Indicates the user terminal electricity compensation, Indicates user electricity load dispatch compensation.

[0093] Establish constraints on the new energy consumption assessment model.

[0094] As another example of this embodiment, according to the operating environment of the new energy consumption evaluation model, the corresponding constraints are respectively established for the new energy power generation model, the new energy utilization model and the system operation cost model; wherein the constraints include: the output of conventional units, the real-time output of new energy stations, the power of interconnection lines, the minimum technical output of conventional units, the maximum technical output of conventional units, the upper and lower limits of the ramp rate of conventional units, the minimum and maximum power limits of the transmission interconnection lines, the theoretical maximum output of new energy stations, node voltage constraints, power balance constraints and power supply reliability constraints. Specifically, the conventional constraints that need to be met for the new energy consumption capacity analysis based on supply and demand balance are:

[0095]

[0096] Where: The output of conventional units, To provide real-time support for new energy stations. is the tie line power; and are the minimum and maximum technical outputs of conventional units, and They are the upper and lower limits of the ramp rate of conventional units respectively; and are the minimum and maximum power limits of the outbound transmission tie line, respectively; The theoretical maximum output of the new energy station;

[0097] Node voltage constraints Power balance constraints:

[0098]

[0099] Where: and are the minimum allowable voltage amplitude and the maximum allowable voltage amplitude of node i respectively.

[0100] Power supply reliability constraints:

[0101] The primary task of a multi-energy power generation system is to meet the power demand of the load. The economy of the system is meaningful only under the premise of reliability. Indicators for measuring the reliability of system power supply include the probability of load power failure, the expected load failure time, the frequency of system power failures or the expected power shortage. Among them, the probability of load power failure is the most commonly used system stability indicator.

[0102]

[0103] The power supply reliability of the microgrid needs to be guaranteed, that is, it must meet the following requirements:

[0104]

[0105] Step 103, calculating and processing the real-time operation data according to the new energy consumption evaluation model to obtain the new energy utilization rate;

[0106] As an example of this embodiment, the real-time operation data is input into the new energy power generation model to calculate the power consumption and obtain the maximum power consumption value;

[0107] According to the real-time operation data, the new energy utilization rate is obtained by combining the new energy utilization rate model with the maximum power consumption value for calculation and processing.

[0108] The maximum power consumption value is obtained by summing up the actual power consumption of the new energy field in several preset time periods:

[0109]

[0110] The actual amount of electricity consumed by the new energy field in a number of preset time periods is obtained by integrating the actual power consumed by the new energy field in a number of preset time periods:

[0111]

[0112] The new energy utilization rate is calculated based on the ratio of the maximum power consumption value to the theoretical power consumption value:

[0113]

[0114] Step 104, according to the new energy utilization rate, by comparing with the optimal new energy utilization rate and judging the new energy consumption capacity of the power grid to be evaluated, obtaining an evaluation result of the new energy consumption capacity of the power grid to be evaluated; wherein the optimal new energy utilization rate is obtained by screening and optimizing the Harris Eagle algorithm;

[0115] As an example of this embodiment, the new energy utilization rate is screened and optimized according to the Harris Eagle algorithm to obtain the optimal new energy utilization rate;

[0116] As another example of this embodiment, see Figure 8 , Figure 8 A schematic flow chart of the Harris Eagle algorithm steps of a power grid assessment and adjustment method provided in an embodiment of the present invention. Figure 8 As shown, historical operation data and real-time operation data of the power grid are input; the search space range is set, and individuals in the population are randomly initialized; the fitness of Harris hawk individuals in the population is calculated, and the position of the Harris hawk with the best fitness is used as the position of the prey; the best individual in the hawk group is updated; the best individual in the hawk group is updated until the preset conditions are met, and the optimal solution (optimal strategy) is output;

[0117] Specifically, the Harris Hawk algorithm also includes the following three steps:

[0118] (1) Search phase

[0119] Generate a population using the Sobol sequence:

[0120]

[0121] Where: , are the upper and lower bounds of the search space, respectively. is a random number generated by the Sobol sequence.

[0122]

[0123] Where: 0.7 is the most stable coefficient value for iteration, and it can be between 0.6 and 0.8.

[0124] (2) Behavior conversion stage

[0125] Harris's hawks will behave differently towards their prey depending on its escape energy, E. Escape energy, E, is defined as:

[0126]

[0127] Where: represents the maximum number of iterations, represents the initial value of escape energy.

[0128] (3) Hunting stage

[0129] When the prey's physical strength, i.e., the energy to escape, is insufficient, , the eagle group enters the hunting stage. The eagle group will decide based on the prey's escape energy E and the random number Parameter r < 0.5 means that the prey can successfully escape before the Harris hawk pounces, and parameter r ≥ 0.5 means that the prey cannot successfully escape.

[0130]

[0131] (3-1) Adopting soft encirclement strategy:

[0132]

[0133] Where: It represents the distance difference between the eagle individual with the highest fitness and the prey in the tth iteration process, and J represents the jumping behavior of the prey individual when escaping, which is a random number of (0.2).

[0134]

[0135] (3-2) Adopting a hard siege strategy:

[0136]

[0137]

[0138] (3-3) Adopt the fast-attachment soft encirclement strategy:

[0139]

[0140] Where: D refers to the dimension of the problem, S refers to a 1*D random vector, f is the fitness function, Indicates Levi's flight.

[0141]

[0142] Where: , is a random number between [0.1].

[0143]

[0144] (3-4) Adopt a fast-attachment hard siege strategy:

[0145]

[0146] Calculating the difference between the new energy utilization rate and the optimal new energy utilization rate to obtain a new energy consumption assessment result;

[0147]

[0148] Where: and They are new energy utilization rate and optimal new energy utilization rate; It is the difference between the optimal renewable energy power generation and the actual power generation.

[0149] According to the new energy consumption assessment result, the new energy consumption capacity of the power grid to be assessed is judged to obtain the new energy consumption capacity assessment result of the power grid to be assessed.

[0150] As another example of this embodiment, when it is determined that the new energy consumption evaluation result is positive, a first evaluation result is obtained;

[0151] When it is determined that the new energy consumption assessment result is negative, a second assessment result is obtained.

[0152] Step 105: according to the evaluation result of the new energy consumption capacity of the power grid to be evaluated, the new energy consumption evaluation result is updated by the Harris Eagle algorithm until the preset requirements are met, and the power grid operation parameters are adjusted according to the updated new energy consumption evaluation result.

[0153] As an example of this embodiment, according to the first evaluation result, the power grid is controlled to increase the scale of installed capacity of new energy;

[0154] As another example of this embodiment, if If is positive, the optimal renewable energy consumption is higher than the current actual renewable energy consumption, indicating that the power grid can still accept renewable energy. By increasing the scale of renewable energy installed capacity and increasing renewable energy power generation, the increased scale of renewable energy installed capacity is .

[0155] According to the second evaluation result, according to the Harris Eagle algorithm, a new objective function and grid demand load are introduced to update the new energy consumption evaluation result until the preset requirements are met; wherein the grid demand load includes: fixed load, movable load and disconnectable load;

[0156] A power grid assessment and regulation method proposed in an embodiment of the present invention improves the re-planning of the optimal absorption capacity after adding demand response loads, provides auxiliary reference suggestions for power grid regulation, and in power grid regulation, improves the load fluctuation curve through movable loads and disconnectable loads to make it closer to the new energy output curve, so that the absorption assessment result updated by the new objective function is more conducive to improving the accuracy of power grid regulation and scheduling.

[0157] As another example of this embodiment, if If it is negative, the optimal new energy consumption is lower than the current actual new energy consumption, which means that the new energy of the power grid cannot be fully consumed. Considering the strong volatility and uncertainty of new energy output, by introducing the method of demand response load, the load fluctuation curve is made closer to the new energy output curve while moderately increasing the cost; specifically, after adding the demand response load, the optimal consumption is re-planned. The present invention divides the load into three categories: fixed load, movable load and disconnectable load. Fixed load refers to the load whose usage time and power are relatively fixed and cannot be scheduled; movable load refers to the load whose usage time and power can be shifted to other time periods as needed; disconnectable load refers to the load that can be partially or completely interrupted as needed. The present invention improves the load fluctuation curve through movable loads and disconnectable loads to make it closer to the new energy output curve. In addition, the new model goal is: to seek the minimum total system cost during the operation period while meeting the system requirements. Z represents the total cost, and the new objective function is:

[0158]

[0159] in, represents the minimum cost during the operation period, I represents the total fuel cost during the operation period, S represents the start-stop cost during the operation period, F represents the fixed operating cost of the system during the operation period, and V represents the variable operating cost of the system during the operation period. represents the system emission cost during operation, represents the demand-side response cost during operation, Indicates the user terminal electricity compensation, Indicates user electricity load dispatch compensation.

[0160] in,

[0161]

[0162] In the formula, λ disc is the interruptible load compensation coefficient, γ t,i is the unit dispatch compensation for load moving from period i to period t, Pmove_in,i(t) is the movable load power moving from period i to period t, and Pdisc(t) is the disconnectable load power.

[0163] Specifically, the calculation of fuel costs:

[0164] Fuel costs are proportional to the amount of electricity generated, including coal-fired power, gas-fired power, nuclear power and biomass power:

[0165]

[0166] Where: E represents the fuel price (including transportation costs), F represents fuel consumption (grams of standard coal / kWh). The fuel consumption and power generation of gas, nuclear, and biomass power generation are modeled according to a linear relationship, and m is the unit fuel consumption rate:

[0167]

[0168] Calculation of start-stop fees:

[0169] It is proportional to the number of starts and stops, including the start and stop costs of coal-fired power, gas-fired power, nuclear power and biomass power generation. d is the single start and stop cost (yuan / time):

[0170]

[0171] Calculation of fixed operating costs:

[0172] The annual operation and maintenance costs are not related to the power generation. All power sources and transmission lines have fixed operation costs, which do not affect the optimization results. h is the fixed operation cost per kilowatt (yuan / kilowatt), and N is the installed capacity (kilowatt):

[0173]

[0174] Calculation of variable operating costs:

[0175] It is proportional to the amount of power generated, and z is the variable operating cost coefficient (yuan / kWh):

[0176]

[0177] Calculation of emission costs: Emi represents the system emission cost. Coal-fired power, gas-fired power, and biomass power generation take emission costs into account, which is proportional to the amount of power generated. Four types of emission costs, carbon dioxide, sulfide, nitrogen oxide, and smoke, are considered. o is the unit emission cost coefficient of pollutants (yuan / gram), and b is the emission coefficient (gram / kilowatt-hour):

[0178]

[0179] Demand side response cost calculation:

[0180] Dem represents the demand response cost, which is generated by local corresponding policies. If there is no corresponding policy, it is 0.

[0181] In the model proposed in the present invention, the marginal cost of renewable energy power generation is 0 or extremely low, and the process of finding the optimal solution for the total cost of power supply is the process of absorbing as much renewable energy as possible.

[0182] The grid operation parameters are adjusted according to the updated new energy consumption assessment results.

[0183] A power grid assessment and regulation method proposed in an embodiment of the present invention constructs a new energy consumption assessment model by combining historical operation data, calculates real-time operation data to obtain new energy utilization rate, and then screens out the optimal new energy utilization rate through the Harris Eagle algorithm, and obtains the evaluation result of the power grid absorption capacity after comparison; sets constraints on the model so that the processing result is suitable for the operation scenario, improves the accuracy of data processing by incorporating multiple types of data, and then introduces the Harris Eagle algorithm to screen and optimize parameters, so that the final evaluation result has higher accuracy, and combines more accurate evaluation results to improve the accuracy of the final power grid regulation.

[0184] Example 2

[0185] See also Figure 2 , Figure 2 A schematic diagram of the module structure of a power grid assessment and regulation system provided in an embodiment of the present invention; Figure 2 As shown, a power grid evaluation and regulation system proposed in an embodiment of the present invention comprises a data acquisition module 201, a model building module 202, a new energy utilization rate calculation module 203, an evaluation result generation module 204 and a power grid regulation module 205;

[0186] The data acquisition module 201 is used to acquire historical operation data and real-time operation data of the power grid to be evaluated;

[0187] The model building module 202 is used to build a new energy consumption evaluation model based on the historical operation data and set constraints on the new energy consumption evaluation model;

[0188] As an example of this embodiment, see Figure 3 , Figure 3 A schematic diagram of a model building module structure of a power grid assessment and regulation system provided in an embodiment of the present invention; Figure 3 As shown, the model building module 202 is used to build a new energy consumption evaluation model according to the historical operation data and set constraints for the new energy consumption evaluation model, and also includes:

[0189] An evaluation model building unit 301 and a constraint condition setting unit 302;

[0190] The evaluation model building unit 301 is used to build a new energy consumption evaluation model according to the historical operation data; wherein the new energy consumption evaluation model includes: a new energy power generation model, a new energy utilization model and a system operation cost model;

[0191] The constraint condition establishing unit 302 is used to establish constraint conditions for the new energy consumption assessment model.

[0192] The new energy utilization rate calculation module 203 is used to calculate and process the real-time operation data according to the new energy consumption evaluation model to obtain the new energy utilization rate;

[0193] As an example of this embodiment, see Figure 4 , Figure 4 A schematic diagram of the structure of a new energy utilization rate calculation module of a power grid evaluation and regulation system provided in an embodiment of the present invention; the new energy utilization rate calculation module 203 is used to calculate and process the real-time operation data according to the new energy consumption evaluation model to obtain the new energy utilization rate, and also includes:

[0194] A first data processing unit 401 and a second data processing unit 402;

[0195] The first data processing unit 401 is used to input the real-time operation data into the new energy power generation model to perform power consumption calculation processing to obtain the maximum power consumption value;

[0196] The second data processing unit 402 is used to obtain the new energy utilization rate according to the real-time operation data through a new energy utilization rate model combined with the maximum power consumption value.

[0197] The evaluation result generation module 204 is used to obtain the evaluation result of the new energy consumption according to the new energy utilization rate by comparing it with the optimal new energy utilization rate and judge the new energy consumption capacity of the power grid to be evaluated, and obtain the evaluation result of the new energy consumption capacity of the power grid to be evaluated; wherein, the optimal new energy utilization rate is obtained by screening and optimizing the Harris Eagle algorithm;

[0198] As an example of this embodiment, see Figure 5 , Figure 5 A schematic diagram of the structure of an evaluation result generation module of a power grid evaluation and regulation system provided in an embodiment of the present invention; Figure 5 As shown, the evaluation result generation module 204 is used to obtain the new energy consumption evaluation result and judge the new energy consumption capacity of the power grid to be evaluated according to the new energy utilization rate by comparing it with the optimal new energy utilization rate, and obtain the new energy consumption capacity evaluation result of the power grid to be evaluated; wherein, the optimal new energy utilization rate is obtained by screening and optimizing the Harris Eagle algorithm, and also includes:

[0199] A third data processing unit 501, a fourth data processing unit 502 and an evaluation result output unit 503;

[0200] The third data processing unit 501 is used to screen and optimize the new energy utilization rate according to the Harris Eagle algorithm to obtain the optimal new energy utilization rate;

[0201] The fourth data processing unit 502 is used to calculate the difference between the new energy utilization rate and the optimal new energy utilization rate to obtain a new energy consumption assessment result;

[0202] The evaluation result output unit 503 is used to determine the new energy consumption capacity of the power grid to be evaluated according to the new energy consumption evaluation result, and obtain the new energy consumption capacity evaluation result of the power grid to be evaluated.

[0203] As another example of this embodiment, see Figure 6 , Figure 6 A schematic diagram of the structure of an evaluation result output unit of a power grid evaluation and regulation system provided in one embodiment of the present invention; Figure 6 As shown, the evaluation result output unit 503 is used to determine the new energy consumption capacity of the power grid to be evaluated according to the new energy consumption evaluation result, and obtain the new energy consumption capacity evaluation result of the power grid to be evaluated, and also includes:

[0204] A first result output subunit 601 and a second result output subunit 602;

[0205] The first result output subunit 601 is used to obtain a first evaluation result when it is determined that the new energy consumption evaluation result is positive;

[0206] The second result output subunit 602 is used to obtain a second evaluation result when it is determined that the new energy consumption evaluation result is negative.

[0207] The grid regulation module 205 is used to update the new energy consumption assessment result of the grid to be assessed through the Harris Eagle algorithm until the preset requirements are met, and adjust the grid operation parameters according to the updated new energy consumption assessment result.

[0208] As an example of this embodiment, see Figure 7 , Figure 7 A schematic diagram of the structure of a power grid regulation module of a power grid assessment and regulation system provided in an embodiment of the present invention; Figure 7 As shown, the power grid adjustment module 205 is used to update the new energy consumption evaluation result of the power grid to be evaluated through the Harris Eagle algorithm until the preset requirements are met, and adjust the power grid operation parameters according to the updated new energy consumption evaluation result, and also includes:

[0209] A first control unit 701, a result updating unit 702 and a second control unit 703;

[0210] The first control unit 701 is used to control the power grid to increase the scale of new energy installed capacity according to the first evaluation result;

[0211] The result updating unit 702 is used to update the new energy consumption evaluation result according to the second evaluation result and the Harris Eagle algorithm by introducing a new objective function and a grid demand load until a preset requirement is met; wherein the grid demand load includes: a fixed load, a movable load, and a disconnectable load;

[0212] The second control unit 703 is used to adjust the grid operation parameters according to the updated new energy consumption assessment result.

[0213] A power grid evaluation and regulation system proposed in an embodiment of the present invention retrieves data through a model construction module to construct a new energy absorption capacity evaluation model and sets constraints, then compares the new energy utilization rate with the Harris Eagle algorithm to select the optimal new energy utilization rate, and generates a power grid new energy absorption capacity evaluation result by an evaluation result generation module, and continuously updates the absorption capacity evaluation result until the preset requirements are met, thereby greatly improving the accuracy of the new energy absorption capacity evaluation result, so that more accurate new energy absorption capacity evaluation results can be referred to during the power grid regulation and scheduling process, making the power grid regulation more accurate and reducing the power grid operation load.

[0214] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

[0215] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. 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 application. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0216] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

Claims

1. A power grid assessment and adjustment method, characterized in that: include: Obtain historical and real-time operation data of the power grid to be evaluated; According to the historical operation data, a new energy consumption evaluation model is constructed and constraints are set for the new energy consumption evaluation model; Specifically, a new energy consumption evaluation model is constructed based on the historical operation data; wherein the new energy consumption evaluation model includes: a new energy power generation model, a new energy utilization model and a system operation cost model; constraint conditions are set for the new energy consumption evaluation model; the new energy power generation model is: Where: E K is the actual power generation of renewable energy, E ki , P re,i (t k ) represent the actual consumed electricity and actual consumed power of the new energy station i in the kth time period ΔT respectively; the new energy utilization rate model is: In the formula, ξ is the utilization rate of new energy, E N is the theoretical power generation of new energy; the system operation cost model is: minZ=I+S+F+V+Emi+Dem+Cdisc+Cmove; Among them, Z is the total cost, minZ represents the minimum cost during the operation period, I represents the total fuel cost during the operation period, S represents the start-stop cost during the operation period, F represents the fixed operating cost of the system during the operation period, V represents the variable operating cost of the system during the operation period, Emi represents the emission cost of the system during the operation period, Dem represents the demand-side response cost during the operation period, Cdisc represents the user terminal electricity compensation, and Cmove represents the user electricity load dispatch compensation; According to the new energy consumption evaluation model, the real-time operation data is calculated and processed to obtain the new energy utilization rate; According to the new energy utilization rate, by comparing with the optimal new energy utilization rate and judging the new energy consumption capacity of the power grid to be evaluated, an evaluation result of the new energy consumption capacity of the power grid to be evaluated is obtained; wherein the optimal new energy utilization rate is obtained by screening and optimizing the Harris Eagle algorithm; According to the evaluation result of the new energy consumption capacity of the power grid to be evaluated, the new energy consumption evaluation result is updated by the Harris Eagle algorithm until the preset requirements are met, and the power grid operation parameters are adjusted according to the updated new energy consumption evaluation result.

2. A power grid assessment and adjustment method according to claim 1, characterized in that: The constraint conditions set for the new energy consumption assessment model are specifically: According to the operating environment of the new energy consumption evaluation model, corresponding constraint conditions are respectively established for the new energy power generation model, the new energy utilization rate model and the system operation cost model; Among them, the constraints include: the output of conventional units, the real-time output of new energy stations, the power of interconnection lines, the minimum technical output of conventional units, the maximum technical output of conventional units, the upper and lower limits of the ramp rate of conventional units, the minimum and maximum power limits of external transmission interconnection lines, the theoretical maximum output of new energy stations, node voltage constraints, power balance constraints and power supply reliability constraints.

3. A power grid assessment and adjustment method as claimed in claim 2, characterized in that: The real-time operation data is calculated and processed according to the new energy consumption evaluation model to obtain the new energy utilization rate, which is specifically: According to the real-time operation data, the data is input into the new energy power generation model to calculate the power consumption and obtain the maximum power consumption value; According to the real-time operation data, the new energy utilization rate is obtained by combining the new energy utilization rate model with the maximum power consumption value for calculation and processing.

4. A power grid assessment and adjustment method as claimed in claim 3, characterized in that: The real-time operation data is input into the new energy power generation model to calculate the power consumption to obtain the maximum power consumption value, and further includes: The maximum power consumption value is obtained by summing up the actual power consumption of the new energy field in several preset time periods; The actual amount of electricity consumed by the new energy field in a number of preset time periods is obtained by integrating the actual power consumed by the new energy field in a number of preset time periods.

5. A power grid assessment and adjustment method according to claim 4, characterized in that: The method of obtaining the new energy utilization rate by calculating and processing the new energy utilization rate model in combination with the maximum power consumption value according to the real-time operation data further includes: The new energy utilization rate is calculated based on the ratio of the maximum power consumption value to the theoretical power consumption value.

6. A power grid assessment and adjustment method according to claim 5, characterized in that: According to the new energy utilization rate, by comparing with the optimal new energy utilization rate and judging the new energy consumption capacity of the power grid to be evaluated, the evaluation result of the new energy consumption capacity of the power grid to be evaluated is obtained; wherein, the optimal new energy utilization rate is obtained by screening and optimizing the Harris Eagle algorithm, specifically: The new energy utilization rate is screened and optimized according to the Harris Eagle algorithm to obtain the optimal new energy utilization rate; Calculating the difference between the new energy utilization rate and the optimal new energy utilization rate to obtain a new energy consumption assessment result; According to the new energy consumption assessment result, the new energy consumption capacity of the power grid to be assessed is judged to obtain the new energy consumption capacity assessment result of the power grid to be assessed.

7. A power grid assessment and adjustment method according to claim 6, characterized in that: The new energy consumption capacity of the power grid to be evaluated is judged according to the new energy consumption evaluation result, and the new energy consumption capacity evaluation result of the power grid to be evaluated is obtained, specifically: When it is determined that the new energy consumption assessment result is positive, a first assessment result is obtained; When it is determined that the new energy consumption assessment result is negative, a second assessment result is obtained.

8. A power grid assessment and adjustment method according to claim 7, characterized in that: According to the evaluation result of the new energy consumption capacity of the power grid to be evaluated, the new energy consumption evaluation result is updated by the Harris Eagle algorithm until the preset requirements are met, and the power grid operation parameters are adjusted according to the updated new energy consumption evaluation result, specifically: According to the first assessment results, control the grid to increase the scale of new energy installed capacity; According to the second evaluation result, according to the Harris Eagle algorithm, a new objective function and grid demand load are introduced to update the new energy consumption evaluation result until the preset requirements are met; wherein the grid demand load includes: fixed load, movable load and disconnectable load; The grid operation parameters are adjusted according to the updated new energy consumption assessment results.

9. A power grid assessment and regulation system, characterized in that: include: Data acquisition module, model building module, new energy utilization rate calculation module, evaluation result generation module and power grid regulation module; The data acquisition module is used to acquire historical operation data and real-time operation data of the power grid to be evaluated; The model building module is used to build a new energy consumption evaluation model based on the historical operation data and set constraints on the new energy consumption evaluation model; The model building module also includes: an evaluation model building unit and a constraint condition setting unit; the evaluation model building unit is used to build a new energy consumption evaluation model based on the historical operation data; wherein the new energy consumption evaluation model includes: a new energy power generation model, a new energy utilization model and a system operation cost model; the constraint condition setting unit is used to set constraints for the new energy consumption evaluation model; the new energy power generation model is: Where: E K is the actual power generation of renewable energy, E ki , P re,i (t k ) represent the actual consumed electricity and actual consumed power of the new energy station i in the kth time period ΔT respectively; the new energy utilization rate model is: In the formula, ξ is the utilization rate of new energy, E N is the theoretical power generation of new energy; the system operation cost model is: minZ=I+S+F+V+Emi+Dem+Cdisc+Cmove; Among them, Z is the total cost, minZ represents the minimum cost during the operation period, I represents the total fuel cost during the operation period, S represents the start-stop cost during the operation period, F represents the fixed operating cost of the system during the operation period, V represents the variable operating cost of the system during the operation period, Emi represents the emission cost of the system during the operation period, Dem represents the demand-side response cost during the operation period, Cdisc represents the user terminal electricity compensation, and Cmove represents the user electricity load dispatch compensation; The new energy utilization rate calculation module is used to calculate and process the real-time operation data according to the new energy consumption evaluation model to obtain the new energy utilization rate; The evaluation result generation module is used to obtain the evaluation result of the new energy consumption according to the new energy utilization rate by comparing it with the optimal new energy utilization rate, and judge the new energy consumption capacity of the power grid to be evaluated, so as to obtain the evaluation result of the new energy consumption capacity of the power grid to be evaluated; wherein, the optimal new energy utilization rate is obtained by screening and optimizing the Harris Eagle algorithm; The grid regulation module is used to update the new energy consumption assessment result of the grid to be assessed through the Harris Eagle algorithm until the preset requirements are met, and adjust the grid operation parameters according to the updated new energy consumption assessment result.

10. A power grid assessment and regulation system according to claim 9, characterized in that: The new energy utilization rate calculation module is used to calculate and process the real-time operation data according to the new energy consumption evaluation model to obtain the new energy utilization rate, and also includes: a first data processing unit and a second data processing unit; The first data processing unit is used to input the real-time operation data into the new energy power generation model to perform power consumption calculation processing to obtain the maximum power consumption value; The second data processing unit is used to obtain the new energy utilization rate according to the real-time operation data through a new energy utilization rate model combined with the maximum power consumption value.

11. A power grid assessment and regulation system according to claim 10, characterized in that: The evaluation result generation module is used to obtain a new energy consumption evaluation result and determine the new energy consumption capacity of the power grid to be evaluated based on the new energy utilization rate by comparing it with the optimal new energy utilization rate, and obtain a new energy consumption capacity evaluation result of the power grid to be evaluated; wherein the optimal new energy utilization rate is obtained by screening and optimizing the Harris Eagle algorithm, and further includes: A third data processing unit, a fourth data processing unit and an evaluation result output unit; The third data processing unit is used to screen and optimize the new energy utilization rate according to the Harris Eagle algorithm to obtain the optimal new energy utilization rate; The fourth data processing unit is used to calculate the difference between the new energy utilization rate and the optimal new energy utilization rate to obtain a new energy consumption assessment result; The evaluation result output unit is used to determine the new energy consumption capacity of the power grid to be evaluated according to the new energy consumption evaluation result, and obtain the new energy consumption capacity evaluation result of the power grid to be evaluated.

12. A power grid assessment and regulation system according to claim 11, characterized in that: The evaluation result output unit is used to determine the new energy consumption capacity of the power grid to be evaluated according to the new energy consumption evaluation result, and obtain the new energy consumption capacity evaluation result of the power grid to be evaluated, and also includes: a first result output subunit and a second result output subunit; The first result output subunit is used to obtain a first evaluation result when it is determined that the new energy consumption evaluation result is positive; The second result output subunit is used to obtain a second evaluation result when it is determined that the new energy consumption evaluation result is negative.

13. A power grid assessment and regulation system according to claim 12, characterized in that: The power grid regulation module is used to update the new energy consumption evaluation result of the power grid to be evaluated through the Harris Eagle algorithm until the preset requirements are met, and adjust the power grid operation parameters according to the updated new energy consumption evaluation result, and also includes: a first control unit, a result updating unit, and a second control unit; The first control unit is used to control the power grid to increase the scale of new energy installed capacity according to the first evaluation result; The result updating unit is used to update the new energy consumption evaluation result according to the second evaluation result and the Harris Eagle algorithm by introducing a new objective function and a grid demand load until a preset requirement is met; wherein the grid demand load includes: a fixed load, a movable load and a disconnectable load; The second control unit is used to adjust the grid operation parameters according to the updated new energy consumption assessment results.

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