A power system control method and system considering multiple renewable energy generation

Abstract

The present invention discloses a power system control method and system considering multiple renewable energy power generation, the method comprising the following steps: collecting wind power generation working information, photovoltaic power generation working information, conventional power generation working information and load side working information, the load side working information including load side load demand; analyzing and controlling the wind power generation working information, photovoltaic power generation working information and conventional power generation working information in turn, and judging whether to actively participate in the regulation of the new power system respectively, and making corresponding operations according to the judgment results; combining the characteristic value of wind power generation status, the characteristic value of photovoltaic power generation status, the characteristic value of conventional power generation status and the load side working information to control the operation of the new power system. The present invention judges whether wind power generation, photovoltaic power generation and conventional power generation are incorporated into the power grid to supply power to the load side according to their actual working conditions, effectively ensuring the reliability of power supply on the load side.

Description

Technical Field

[0001] The present invention relates to the technical field of power detection and control, and in particular to a power system control method and system taking into account power generation of multiple renewable energy sources. Background Art

[0002] With the proposal of the national "dual carbon" goal, energy production and lifestyle need to transform to green development, and we need to seek more economical and efficient ways of utilizing energy resources. As an important part of clean energy development, wind power generation and photovoltaic power generation have been added to the power system in large quantities. Therefore, it is urgent to accelerate the construction of a new power system with new energy as the main body, and comprehensively build a safe, reliable, green, efficient and intelligent modern power grid. In the process of achieving carbon peak and carbon neutrality goals, ensure the efficient consumption of new energy and reliable power supply.

[0003] The invention patent with publication number CN103578044A provides a method for evaluating the comprehensive peak-shaving capacity of new energy power generation grid-connected based on demand-side response. It establishes three types of specific indicators based on demand-side response to form a comprehensive peak-shaving capacity evaluation model for new energy power generation grid-connected based on demand-side response; it can take into account the impact of both new energy and high-load energy, conduct a comprehensive evaluation of the system's peak-shaving capacity, and provide support for dispatching and operation; thereby overcoming the defects of poor wind power output stability and high peak-shaving pressure in the prior art, and achieving the advantages of good wind power output stability and low peak-shaving pressure. However, this comparative document only considers the impact of wind power output on the demand side, but does not solve the problem of what kind of power output method to choose to better guarantee the power demand, power supply reliability and economy on the load side. Summary of the invention

[0004] Purpose of the invention: In order to overcome the shortcomings of the prior art, the present invention provides a new power system control method including multiple renewable energy power generation, which solves the problem in the prior art that the power demand on the load side cannot be guaranteed by changing the power generation mode. The present invention also provides a new power system control system including multiple renewable energy power generation.

[0005] Technical solution: According to a first aspect of the present invention, a new power system control method considering multiple renewable energy generation is provided, the method comprising the following steps:

[0006] S1 collects wind power generation working information, photovoltaic power generation working information, conventional power generation working information and load side working information, wherein the load side working information includes load side load demand;

[0007] S2 analyzes and controls the wind power generation work information, photovoltaic power generation work information and conventional power generation work information in turn, obtains the wind power generation state characteristic value, photovoltaic power generation state characteristic value and conventional power generation state characteristic value, and respectively determines whether to actively participate in the regulation of the new power system, and performs corresponding operations according to the judgment results;

[0008] S3 controls the operation of the new power system by combining the characteristic values ​​of wind power generation status, photovoltaic power generation status, conventional power generation status and the load side operation information.

[0009] Further, including:

[0010] In the step S2, the wind power generation operation information is analyzed and controlled to obtain the characteristic value of the wind power generation status, which specifically includes:

[0011] S201, according to the weather forecast, find the historical wind power generation day that is closest to the weather conditions of the day as the wind power generation reference day, and retrieve the actual wind power generation output power on the wind power generation reference day as the wind power generation output power reference value;

[0012] S202 calculates the difference between the actual wind power output power and the wind power output power reference value as the wind power prediction error ΔP f ;

[0013] S203: Based on the wind power generation prediction error ΔP f Obtaining characteristic values ​​of wind power generation conditions;

[0014] The method for calculating the characteristic value of wind power generation condition is as follows:

[0015] S2031 retrieves the actual output power P of wind power generation under the same external working environment f (t);

[0016] S2032 calculates the average actual output power of wind power generation under the same external working environment within the specified time period:

[0017]

[0018] S2033 then obtains the standard deviation of the actual output power of wind power generation under the same external working environment:

[0019]

[0020] S2034 calculates the standard error of actual wind power output under the same external working environment:

[0021]

[0022] S2035 then obtains the characteristic value of wind power generation status:

[0023]

[0024] Further, including:

[0025] In step S2, the photovoltaic power generation operation information is analyzed and controlled to obtain the photovoltaic power generation status characteristic value, which specifically includes:

[0026] S211 is based on the actual output power P of photovoltaic power generation g The difference between (t) and the reference value of photovoltaic power generation output power is used to obtain the photovoltaic power generation prediction error ΔP g ;

[0027] S212 obtains a photovoltaic power generation condition characteristic value according to the photovoltaic power generation prediction error;

[0028] The calculation method of the photovoltaic power generation condition characteristic value is:

[0029] S2121 Calculate the average actual output power of photovoltaic power generation within a specified time period

[0030] Where, T is the sampling period;

[0031] S2122 obtains the standard deviation of the actual output power of photovoltaic power generation within the specified time period based on the average value of the actual output power of photovoltaic power generation:

[0032]

[0033] S2123 then obtains the characteristic value of photovoltaic power generation status:

[0034]

[0035] Among them, σ g,n It represents the standard error of the actual output power of photovoltaic power generation within a specified time period, expressed as:

[0036]

[0037] Further, including:

[0038] In step S2, the conventional power generation work information is analyzed and controlled to obtain the characteristic value of the conventional power generation status, which specifically includes:

[0039] S221 According to the actual output power P of conventional power generation c The difference between (t) and the conventional power generation output power reference value is used to obtain the conventional power generation prediction error ΔP c ;

[0040] S222 predicts the error ΔP based on the conventional power generationc Calculate the characteristic values ​​of conventional power generation conditions;

[0041] The calculation method of the characteristic value of the conventional power generation condition is:

[0042] S2221 According to the actual output power P of conventional power generation c (t) Get the average actual output power of conventional power generation:

[0043] Where, T is the sampling period;

[0044] S2222 calculates the standard deviation of the actual output power of conventional power generation based on the average value of the actual output power of conventional power generation:

[0045]

[0046] S2223 then obtains the characteristic value of the conventional power generation status:

[0047]

[0048] Among them, σ c,n It represents the standard error of the actual output power of conventional power generation, expressed as:

[0049]

[0050] Further, including:

[0051] Step S3 specifically includes:

[0052] S31 compares the wind power generation condition characteristic value, photovoltaic power generation condition characteristic value, and conventional power generation condition characteristic value within a specified time period, and selects the smallest characteristic value as the first network access option, the second smallest characteristic value as the second network access option, and the largest characteristic value as the third network access option;

[0053] S32 determines whether the load demand on the load side is greater than the output power of the first grid access selection. If so, enter step S33; if not, control the grid access switches corresponding to the second grid access selection and the third grid access selection to be disconnected; wind power generation, photovoltaic power generation, and conventional power generation all have corresponding grid access switches. If they are disconnected, no electric energy will be provided to the power grid.

[0054] S33 determines whether the load demand on the load side is greater than the sum of the first network access selection output power and the second network access selection output power. If not, control the network access switch corresponding to the third network access selection to be disconnected; if so, control the network access switch corresponding to the third network access selection to be closed.

[0055] Further, including:

[0056] In step S2, it is determined whether to actively participate in the regulation of the new power system, and corresponding operations are performed according to the determination result, including:

[0057] Determine whether the wind power generation condition characteristic value is greater than a wind power generation condition characteristic value reference value, the reference value is set based on experience and can be adjusted multiple times until the most suitable reference value is found. If it is greater than, it means that the wind power generation does not actively participate in the power system regulation. At this time, after controlling the disconnection of the wind power generation grid access switch, the photovoltaic power generation working condition continues to be analyzed and controlled; otherwise, it means that the wind power generation actively participates in the power system regulation, and the photovoltaic power generation working condition continues to be analyzed and controlled;

[0058] Determine whether the photovoltaic power generation condition characteristic value is greater than the photovoltaic power generation condition characteristic value reference value. If so, it indicates that the photovoltaic power generation does not actively participate in the power system regulation. Then, after the photovoltaic power generation grid access switch is disconnected, the conventional power generation working condition continues to be analyzed and controlled. Otherwise, it indicates that the photovoltaic power generation actively participates in the power system regulation, and the conventional power generation working condition continues to be analyzed and controlled.

[0059] It is determined whether the characteristic value of the conventional power generation condition is greater than the reference value of the characteristic value of the conventional power generation condition. If so, it indicates that the conventional power generation does not actively participate in the power system regulation. At this time, the conventional power generation grid access switch is controlled to be disconnected, and step S3 is entered; otherwise, it indicates that the conventional power generation actively participates in the power system regulation, and step S3 is entered.

[0060] On the other hand, the present invention also provides a novel power system control system considering multiple renewable energy generation, the system comprising:

[0061] An information collection module is used to collect wind power generation working information, photovoltaic power generation working information, conventional power generation working information and load side working information, wherein the load side working information includes load side load demand;

[0062] An analysis module is used to analyze and control the wind power generation work information, the photovoltaic power generation work information and the conventional power generation work information in turn, obtain the wind power generation state characteristic value, the photovoltaic power generation state characteristic value and the conventional power generation state characteristic value, and respectively judge whether to actively participate in the regulation of the new power system, and perform corresponding operations according to the judgment results;

[0063] A control module is used to control the operation of the novel power system by combining the characteristic values ​​of wind power generation status, photovoltaic power generation status, conventional power generation status and the load side operation information.

[0064] Further, including:

[0065] In the analysis module, the wind power generation operation information is analyzed and controlled to obtain the characteristic value of the wind power generation status, which specifically includes:

[0066] A wind power generation output power reference value calculation unit is used to find a historical wind power generation day closest to the weather conditions of the day as a wind power generation reference day according to the weather forecast, and retrieve the actual wind power generation output power on the wind power generation reference day as the wind power generation output power reference value;

[0067] The wind power generation prediction error calculation unit is used to calculate the difference between the actual wind power generation output power and the wind power generation output power reference value as the wind power generation prediction error ΔP f ;

[0068] The wind power generation condition characteristic value calculation unit is used to calculate the wind power generation condition characteristic value according to the wind power generation prediction error ΔP f Obtaining characteristic values ​​of wind power generation conditions;

[0069] The wind power generation condition characteristic value calculation unit comprises:

[0070] Get the actual output power P of wind power generation under the same external working environment f (t);

[0071] Calculate the average actual output power of wind power generation under the same external working environment within a specified time period:

[0072]

[0073] Then the standard deviation of actual wind power output under the same external working environment is obtained:

[0074]

[0075] Calculate the standard error of actual wind power output under the same external working environment:

[0076]

[0077] Then the characteristic value of wind power generation status is obtained:

[0078]

[0079] Further, including:

[0080] In the analysis module, the photovoltaic power generation work information is analyzed and controlled to obtain the photovoltaic power generation status characteristic value, which specifically includes:

[0081] Photovoltaic power generation prediction error calculation unit is used to calculate the actual output power P of photovoltaic power generation. g The difference between (t) and the reference value of photovoltaic power generation output power is used to obtain the photovoltaic power generation prediction error ΔPg ;

[0082] A photovoltaic power generation condition characteristic value calculation unit, used to obtain a photovoltaic power generation condition characteristic value according to a photovoltaic power generation prediction error;

[0083] The photovoltaic power generation condition characteristic value calculation unit comprises:

[0084] Calculate the average actual output power of photovoltaic power generation within a specified time period :

[0085] Where, T is the sampling period;

[0086] According to the average value of the actual output power of photovoltaic power generation, the standard deviation of the actual output power of photovoltaic power generation within the specified time period is obtained:

[0087]

[0088] Then the characteristic value of photovoltaic power generation status is obtained:

[0089]

[0090] Among them, σ g,n It represents the standard error of the actual output power of photovoltaic power generation within a specified time period, expressed as:

[0091]

[0092] Further, including:

[0093] In the analysis module, conventional power generation work information is analyzed and controlled to obtain the characteristic value of conventional power generation status, which specifically includes:

[0094] Conventional power generation prediction error calculation unit is used to calculate the actual output power P of conventional power generation. c The difference between (t) and the conventional power generation output power reference value is used to obtain the conventional power generation prediction error ΔP c ;

[0095] The conventional power generation condition characteristic value calculation unit is used to calculate the conventional power generation prediction error ΔP c Calculate the characteristic values ​​of conventional power generation conditions;

[0096] The conventional power generation condition characteristic value calculation unit comprises:

[0097] According to the actual output power P of conventional power generation c (t) Get the average actual output power of conventional power generation:

[0098] T is the sampling period;

[0099] Calculate the standard deviation of the actual output power of conventional power generation based on the average value of the actual output power of conventional power generation:

[0100]

[0101] Then the characteristic value of conventional power generation status is obtained:

[0102]

[0103] Among them, σ c,n It represents the standard error of the actual output power of conventional power generation, expressed as:

[0104]

[0105] Beneficial effects: Compared with the prior art, the present invention has the following advantages: The new power system control method described in the present invention determines whether wind power generation, photovoltaic power generation and conventional power generation are connected to the power grid to supply power to the load side according to their actual working conditions, effectively ensuring the reliability of power supply on the load side; then, according to the output power of wind power generation, photovoltaic power generation and conventional power generation, combined with the load demand on the load side, a more suitable grid-connected object is selected to ensure the power demand and power supply reliability on the load side. The condition characteristic value calculated based on the standard error of the actual output power of wind power generation, photovoltaic power generation and conventional power generation under the same external working environment and the power generation prediction error can reflect which type of power generation is more reliable and stable; at the same time, the grid-connected object is selected based on the actual output power to ensure the load demand. BRIEF DESCRIPTION OF THE DRAWINGS

[0106] Figure 1 This is a flow chart of a new power system control method including multiple renewable energy generation according to an embodiment of the present invention;

[0107] Figure 2 A control flow chart for analyzing the working conditions of wind power generation according to an embodiment of the present invention;

[0108] Figure 3 A flow chart of calculating characteristic values ​​of wind power generation conditions according to an embodiment of the present invention;

[0109] Figure 4 A control flow chart for analyzing the working condition of photovoltaic power generation according to an embodiment of the present invention;

[0110] Figure 5 This is a flow chart of calculating characteristic values ​​of photovoltaic power generation conditions according to an embodiment of the present invention;

[0111] Figure 6 A control flow chart for analyzing the conventional power generation working conditions according to an embodiment of the present invention;

[0112] Figure 7This is a flow chart of calculating characteristic values ​​of conventional power generation conditions according to an embodiment of the present invention;

[0113] Figure 8 This is a flow chart of controlling the operation of a new power system in combination with the load-side operation information according to an embodiment of the present invention. DETAILED DESCRIPTION

[0114] 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.

[0115] The present invention provides a novel power system control method considering multiple renewable energy generation, such as Figure 1 As shown, the method comprises the following steps:

[0116] Step (1): collecting wind power generation working information, photovoltaic power generation working information, conventional power generation working information, and load side working information; the load side working information includes load side load demand;

[0117] Step (2): Analyze and control the working status of wind power generation to determine whether to actively participate in power system regulation. If so, proceed to step (3); if not, control the wind power generation grid switch to be disconnected and proceed to step (3);

[0118] Step (3): Analyze and control the working status of photovoltaic power generation to determine whether to actively participate in power system regulation. If so, proceed to step (4); if not, control the photovoltaic power generation grid switch to be disconnected and proceed to step (4);

[0119] Step (4): Analyze and control the working status of conventional power generation to determine whether to actively participate in power system regulation. If so, proceed to step (5); if not, control the conventional power generation grid switch to be disconnected and proceed to step (5);

[0120] Step (5): Controlling the operation of the new power system in combination with the load-side operating information.

[0121] In step (2): Figure 2 As shown, the working status of wind power generation is analyzed and controlled to determine whether to actively participate in power system regulation. The specific method is:

[0122] (21) according to the weather forecast, find the historical wind power generation day that is closest to the weather conditions of the day as the wind power generation reference day, and retrieve the actual wind power generation output power on the wind power generation reference day as the wind power generation output power reference value;

[0123] (22) calculating the difference between the actual output power of wind power generation and the reference value of the output power of wind power generation as the wind power generation prediction error;

[0124] (23) Calculate the characteristic value of wind power generation status, such as Figure 3 As shown:

[0125] (231) Retrieve the actual output power of wind power generation under the same external working environment;

[0126] (232) Calculate the average actual output power of wind power generation under the same external working environment Where T is the sampling period, P f (t) is the actual output power of wind power generation;

[0127] (233) Calculate the standard deviation of actual wind power output under the same external working environment

[0128] (234) Calculate the standard error of actual wind power output under the same external working environment

[0129] (235) Calculate the characteristic value of wind power generation status Among them, σ f,n is the standard error of the actual output power of wind power generation under the same external working environment, ΔP f is the wind power generation prediction error;

[0130] (24) determining whether the wind power generation condition characteristic value is greater than the wind power generation condition characteristic value reference value; if so, the wind power generation actively participates in the power system regulation and control, and the process proceeds to step (3); if not, controlling the wind power generation grid access switch to be disconnected, and the process proceeds to step (3);

[0131] In step (3): the working status of photovoltaic power generation is analyzed and controlled to determine whether to actively participate in power system regulation, such as Figure 4 As shown, the specific method is:

[0132] (31) calculating the difference between the actual output power of photovoltaic power generation and the reference value of the output power of photovoltaic power generation as the photovoltaic power generation prediction error;

[0133] (32) Calculate the characteristic value of photovoltaic power generation status, such as Figure 5 As shown, including:

[0134] (321) Calculate the average actual output power of photovoltaic power generation within a specified time period Where T is the sampling period, P g (t) is the actual output power of photovoltaic power generation;

[0135] (322) Calculate the standard deviation of the actual output power of photovoltaic power generation within a specified time period

[0136] (323) Calculate the standard error of the actual output power of photovoltaic power generation within a specified time period

[0137] (324) Calculate the characteristic value of photovoltaic power generation status where σ g,n is the standard error of the actual output power of photovoltaic power generation within the specified time period, ΔP g is the photovoltaic power generation prediction error;

[0138] (33) determining whether the photovoltaic power generation condition characteristic value is greater than the photovoltaic power generation condition characteristic value reference value; if so, the photovoltaic power generation actively participates in the power system regulation; if not, the photovoltaic power generation grid-connected switch is controlled to be disconnected, and entering step (4);

[0139] Step (4): Analyze and control the normal power generation working conditions to determine whether to actively participate in power system regulation. The specific method is as follows: Figure 6 As shown:

[0140] (41) calculating the difference between the actual output power of conventional power generation and the reference value of the output power of conventional power generation as the conventional power generation prediction error;

[0141] (42) Calculate the characteristic value of conventional power generation conditions, such as Figure 7 As shown:

[0142] (421) Calculate the average actual output power of conventional power generation Where T is the sampling period, P c (t) is the actual output power of photovoltaic power generation;

[0143] (422) Calculate the standard deviation of the actual output power of conventional power generation

[0144] (423) Calculate the standard error of the actual output power of conventional power generation

[0145] (424) Calculate the characteristic value of normal power generation status Among them, σ c,n is the standard error of the actual output power of conventional power generation within the specified time period, ΔP c is the conventional power generation prediction error;

[0146] (43) determining whether the conventional power generation condition characteristic value is greater than the conventional power generation condition characteristic value reference value; if so, the conventional power generation actively participates in the power system regulation; if not, the conventional power generation grid access switch is controlled to be disconnected, and entering step (5);

[0147] Step (5): Combine the load side working information to control the operation of the new power system, such as Figure 8 shown.

[0148] (51) comparing the wind power generation condition characteristic value, the photovoltaic power generation condition characteristic value, and the conventional power generation condition characteristic value, selecting the smallest characteristic value as the first network access option, the second smallest characteristic value as the second network access option, and the largest characteristic value as the third network access option;

[0149] For example, if the wind power generation condition characteristic value is the smallest, the photovoltaic power generation condition characteristic value is the second smallest, and the conventional power generation condition characteristic value is the largest, then wind power generation is selected as the first grid access option, photovoltaic power generation is selected as the second grid access option, and conventional power generation is selected as the third grid access option;

[0150] (52) determining whether the load demand on the load side is greater than the output power of the first network access selection; if so, proceeding to (53); if not, controlling the network access switches corresponding to the second network access selection and the third network access selection to be disconnected;

[0151] (53) Determine whether the load demand on the load side is greater than the sum of the first network access selection output power and the second network access selection output power; if not, control the network access switch corresponding to the third network access selection to be disconnected; if so, control the network access switch corresponding to the third network access selection to be closed.

[0152] On the other hand, the present invention also provides a novel power system control system considering multiple renewable energy generation, the system comprising:

[0153] An information collection module is used to collect wind power generation working information, photovoltaic power generation working information, conventional power generation working information and load side working information, wherein the load side working information includes load side load demand;

[0154] An analysis module is used to analyze and control the wind power generation work information, the photovoltaic power generation work information and the conventional power generation work information in turn, obtain the wind power generation state characteristic value, the photovoltaic power generation state characteristic value and the conventional power generation state characteristic value, and respectively judge whether to actively participate in the regulation of the new power system, and perform corresponding operations according to the judgment results;

[0155] A control module is used to control the operation of the novel power system by combining the characteristic values ​​of wind power generation status, photovoltaic power generation status, conventional power generation status and the load side operation information.

[0156] Further, including:

[0157] In the analysis module, the wind power generation operation information is analyzed and controlled to obtain the characteristic value of the wind power generation status, which specifically includes:

[0158] A wind power generation output power reference value calculation unit is used to find a historical wind power generation day closest to the weather conditions of the day as a wind power generation reference day according to the weather forecast, and retrieve the actual wind power generation output power on the wind power generation reference day as the wind power generation output power reference value;

[0159] The wind power generation prediction error calculation unit is used to calculate the difference between the actual wind power generation output power and the wind power generation output power reference value as the wind power generation prediction error ΔP f ;

[0160] The wind power generation condition characteristic value calculation unit is used to calculate the wind power generation condition characteristic value according to the wind power generation prediction error ΔP f Obtaining characteristic values ​​of wind power generation conditions;

[0161] The wind power generation condition characteristic value calculation unit comprises:

[0162] Get the actual output power P of wind power generation under the same external working environment f (t);

[0163] Calculate the average actual output power of wind power generation under the same external working environment within a specified time period:

[0164]

[0165] Then the standard deviation of actual wind power output under the same external working environment is obtained:

[0166]

[0167] Calculate the standard error of actual wind power output under the same external working environment:

[0168]

[0169] Then the characteristic value of wind power generation status is obtained:

[0170]

[0171] Further, including:

[0172] In the analysis module, the photovoltaic power generation work information is analyzed and controlled to obtain the photovoltaic power generation status characteristic value, which specifically includes:

[0173] Photovoltaic power generation prediction error calculation unit is used to calculate the actual output power P of photovoltaic power generation. g The difference between (t) and the reference value of photovoltaic power generation output power is used to obtain the photovoltaic power generation prediction error ΔP g ;

[0174] A photovoltaic power generation condition characteristic value calculation unit, used to obtain a photovoltaic power generation condition characteristic value according to a photovoltaic power generation prediction error;

[0175] The photovoltaic power generation condition characteristic value calculation unit comprises:

[0176] Calculate the average actual output power of photovoltaic power generation within a specified time period

[0177] Where, T is the sampling period;

[0178] According to the average value of the actual output power of photovoltaic power generation, the standard deviation of the actual output power of photovoltaic power generation within the specified time period is obtained:

[0179]

[0180] Then the characteristic value of photovoltaic power generation status is obtained:

[0181]

[0182] Among them, σ g,n It represents the standard error of the actual output power of photovoltaic power generation within a specified time period, expressed as:

[0183]

[0184] Further, including:

[0185] In the analysis module, conventional power generation work information is analyzed and controlled to obtain the characteristic value of conventional power generation status, which specifically includes:

[0186] Conventional power generation prediction error calculation unit is used to calculate the actual output power P of conventional power generation. c The difference between (t) and the conventional power generation output power reference value is used to obtain the conventional power generation prediction error ΔP c ;

[0187] The conventional power generation condition characteristic value calculation unit is used to calculate the conventional power generation prediction error ΔP c Calculate the characteristic values ​​of conventional power generation conditions;

[0188] The conventional power generation condition characteristic value calculation unit comprises:

[0189] According to the actual output power P of conventional power generation c (t) Get the average actual output power of conventional power generation:

[0190] T is the sampling period;

[0191] Calculate the standard deviation of the actual output power of conventional power generation based on the average value of the actual output power of conventional power generation:

[0192]

[0193] Then the characteristic value of conventional power generation status is obtained:

[0194]

[0195] Among them, σ c,n It represents the standard error of the actual output power of conventional power generation, expressed as:

[0196]

[0197] The other technical features of the new power system control system considering multiple renewable energy power generation described in the present invention are the same as the corresponding technical features of the control method and will not be repeated here.

[0198] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0199] Obviously, those skilled in the art can make various changes and modifications to the embodiments of the present invention without departing from the spirit and scope of the embodiments of the present invention. Thus, if these modifications and variations of the embodiments of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A power system control method considering multiple renewable energy generation, characterized in that: The method comprises the following steps: S1 collects wind power generation working information, photovoltaic power generation working information, conventional power generation working information and load side working information, wherein the load side working information includes load side load demand; S2 analyzes and controls the wind power generation work information, photovoltaic power generation work information and conventional power generation work information in turn, obtains the wind power generation state characteristic value, photovoltaic power generation state characteristic value and conventional power generation state characteristic value, and respectively determines whether to actively participate in the regulation of the power system, and performs corresponding operations according to the determination results; S3 controls the operation of the power system by combining the characteristic value of wind power generation status, the characteristic value of photovoltaic power generation status, the characteristic value of conventional power generation status and the load side operation information; In the step S2, the wind power generation operation information is analyzed and controlled to obtain the characteristic value of the wind power generation status, which specifically includes: S201, according to the weather forecast, find the historical wind power generation day that is closest to the weather conditions of the day as the wind power generation reference day, and retrieve the actual wind power generation output power on the wind power generation reference day as the wind power generation output power reference value; S202 calculates the difference between the actual wind power output power and the wind power output power reference value as the wind power prediction error ΔP f ; S203: Based on the wind power generation prediction error ΔP f Obtaining characteristic values ​​of wind power generation conditions; The method for calculating the characteristic value of wind power generation condition is as follows: S2031 retrieves the actual output power P of wind power generation under the same external working environment f (t); S2032 calculates the average actual output power of wind power generation under the same external working environment within the specified time period: S2033 then obtains the standard deviation of the actual output power of wind power generation under the same external working environment: S2034 calculates the standard error of actual wind power output under the same external working environment: S2035 then obtains the characteristic value of wind power generation status: In step S2, the photovoltaic power generation operation information is analyzed and controlled to obtain the photovoltaic power generation status characteristic value, which specifically includes: S211 is based on the actual output power P of photovoltaic power generation g The difference between (t) and the reference value of photovoltaic power generation output power is used to obtain the photovoltaic power generation prediction error ΔP g ; S212 obtains a photovoltaic power generation condition characteristic value according to the photovoltaic power generation prediction error; The calculation method of the photovoltaic power generation condition characteristic value is: S2121 calculates the average value of the actual output power P of photovoltaic power generation within the specified time period g : Where, T is the sampling period; S2122 obtains the standard deviation of the actual output power of photovoltaic power generation within the specified time period based on the average value of the actual output power of photovoltaic power generation: S2123 then obtains the characteristic value of photovoltaic power generation status: Among them, σ g,n It represents the standard error of the actual output power of photovoltaic power generation within a specified time period, expressed as: In step S2, the conventional power generation work information is analyzed and controlled to obtain the characteristic value of the conventional power generation status, which specifically includes: S221 According to the actual output power P of conventional power generation c The difference between (t) and the conventional power generation output power reference value is used to obtain the conventional power generation prediction error ΔP c ; S222 predicts the error ΔP based on the conventional power generation c Calculate the characteristic values ​​of conventional power generation conditions; The calculation method of the characteristic value of the conventional power generation condition is: S2221 According to the actual output power P of conventional power generation c (t) Get the average actual output power of conventional power generation: T is the sampling period; S2222 calculates the standard deviation of the actual output power of conventional power generation based on the average value of the actual output power of conventional power generation: S2223 then obtains the characteristic value of the conventional power generation status: Among them, σ c,n It represents the standard error of the actual output power of conventional power generation, expressed as:

2. The power system control method considering multiple renewable energy generation according to claim 1 is characterized in that: Step S3 specifically includes: S31 compares the wind power generation condition characteristic value, photovoltaic power generation condition characteristic value, and conventional power generation condition characteristic value within a specified time period, and selects the smallest characteristic value as the first network access option, the second smallest characteristic value as the second network access option, and the largest characteristic value as the third network access option; S32 determines whether the load demand on the load side is greater than the output power of the first network access selection. If so, proceed to step S33; if not, control the network access switches corresponding to the second network access selection and the third network access selection to be disconnected; wind power generation, photovoltaic power generation, and conventional power generation all have corresponding network access switches. If they are disconnected, no power is provided to the grid; S33 determines whether the load demand on the load side is greater than the sum of the first network access selection output power and the second network access selection output power. If not, control the network access switch corresponding to the third network access selection to be disconnected; if so, control the network access switch corresponding to the third network access selection to be closed.

3. The power system control method considering multiple renewable energy generation according to claim 1, characterized in that: In step S2, it is determined whether to actively participate in the regulation of the power system, and corresponding operations are performed according to the determination result, including: Determine whether the wind power generation condition characteristic value is greater than the wind power generation condition characteristic value reference value. If so, it indicates that the wind power generation actively participates in the power system regulation and control, and the photovoltaic power generation working condition continues to be analyzed and controlled; otherwise, it indicates that the wind power generation does not actively participate in the power system regulation and control, and at this time, after controlling the disconnection of the wind power generation grid access switch, the photovoltaic power generation working condition continues to be analyzed and controlled; Determine whether the photovoltaic power generation condition characteristic value is greater than the photovoltaic power generation condition characteristic value reference value. If so, it indicates that the photovoltaic power generation actively participates in the power system regulation and control, and the conventional power generation working condition continues to be analyzed and controlled; otherwise, it indicates that the photovoltaic power generation does not actively participate in the power system regulation and control, and then the photovoltaic power generation grid access switch is controlled to be disconnected, and the conventional power generation working condition continues to be analyzed and controlled; It is determined whether the characteristic value of the conventional power generation condition is greater than the reference value of the characteristic value of the conventional power generation condition. If so, it indicates that the conventional power generation actively participates in the power system regulation, and the process goes to step S3. Otherwise, it indicates that the conventional power generation does not actively participate in the power system regulation. At this time, the conventional power generation grid access switch is controlled to be disconnected, and the process goes to step S3.

4. A power system control system considering multiple renewable energy generation, characterized in that: The system includes: An information collection module is used to collect wind power generation working information, photovoltaic power generation working information, conventional power generation working information and load side working information, wherein the load side working information includes load side load demand; The analysis module is used to analyze and control the wind power generation work information, the photovoltaic power generation work information and the conventional power generation work information in turn, obtain the wind power generation state characteristic value, the photovoltaic power generation state characteristic value and the conventional power generation state characteristic value, and respectively judge whether to actively participate in the regulation of the power system, and perform corresponding operations according to the judgment results; A control module, used for controlling the operation of the power system by combining the characteristic value of wind power generation status, the characteristic value of photovoltaic power generation status, the characteristic value of conventional power generation status and the load side operation information; In the analysis module, the wind power generation operation information is analyzed and controlled to obtain the characteristic value of the wind power generation status, which specifically includes: A wind power generation output power reference value calculation unit is used to find a historical wind power generation day closest to the weather conditions of the day as a wind power generation reference day according to the weather forecast, and retrieve the actual wind power generation output power on the wind power generation reference day as the wind power generation output power reference value; The wind power generation prediction error calculation unit is used to calculate the difference between the actual wind power generation output power and the wind power generation output power reference value as the wind power generation prediction error ΔP f ; The wind power generation condition characteristic value calculation unit is used to calculate the wind power generation condition characteristic value according to the wind power generation prediction error ΔP f Obtaining characteristic values ​​of wind power generation conditions; The wind power generation condition characteristic value calculation unit comprises: Get the actual output power P of wind power generation under the same external working environment f (t); Calculate the average actual output power of wind power generation under the same external working environment within a specified time period: Then the standard deviation of actual wind power output under the same external working environment is obtained: Calculate the standard error of actual wind power output under the same external working environment: Then the characteristic value of wind power generation status is obtained: In the analysis module, the photovoltaic power generation work information is analyzed and controlled to obtain the photovoltaic power generation status characteristic value, which specifically includes: Photovoltaic power generation prediction error calculation unit is used to calculate the actual output power P of photovoltaic power generation. g The difference between (t) and the reference value of photovoltaic power generation output power is used to obtain the photovoltaic power generation prediction error ΔP g ; A photovoltaic power generation condition characteristic value calculation unit, used to obtain a photovoltaic power generation condition characteristic value according to a photovoltaic power generation prediction error; The photovoltaic power generation condition characteristic value calculation unit comprises: Calculate the average actual output power P of photovoltaic power generation within the specified time period g : Where, T is the sampling period; According to the average value of the actual output power of photovoltaic power generation, the standard deviation of the actual output power of photovoltaic power generation within the specified time period is obtained: Then the characteristic value of photovoltaic power generation status is obtained: Among them, σ g,n It represents the standard error of the actual output power of photovoltaic power generation within a specified time period, expressed as: In the analysis module, conventional power generation work information is analyzed and controlled to obtain the characteristic value of conventional power generation status, which specifically includes: Conventional power generation prediction error calculation unit is used to calculate the actual output power P of conventional power generation. c The difference between (t) and the conventional power generation output power reference value is used to obtain the conventional power generation prediction error ΔP c ; The conventional power generation condition characteristic value calculation unit is used to calculate the conventional power generation prediction error ΔP c Calculate the characteristic values ​​of conventional power generation conditions; The conventional power generation condition characteristic value calculation unit comprises: According to the actual output power P of conventional power generation c (t) Get the average actual output power of conventional power generation: T is the sampling period; Calculate the standard deviation of the actual output power of conventional power generation based on the average value of the actual output power of conventional power generation: Then the characteristic value of conventional power generation status is obtained: Among them, σ c,n It represents the standard error of the actual output power of conventional power generation, expressed as:

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