Diesel generator load regulation method and system based on dynamic load regulation

Abstract

This invention belongs to the technical field of emergency power supply systems, specifically disclosing a diesel generator load regulation method and system based on dynamic load adjustment. The method includes the following steps: acquiring the power output of wind and solar power generation; collecting real-time load power demand; determining whether the real-time wind and solar power generation meets the real-time load power demand; predicting the load power demand and the power generation of wind and solar power; determining the stability index of the power system based on the real-time load power demand and the predicted load power demand; determining the initial load of the diesel generator based on the real-time load power demand, the stability index, and the power generation of wind and solar power; establishing an objective function; and scheduling the diesel generator based on the predicted load power demand and the initial load. This technical solution allows for flexible scheduling of the power output of wind and solar energy and the diesel generator, and timely adjustment of energy sources according to dynamic load changes.

Description

Technical Field

[0001] This invention belongs to the field of emergency power supply system technology, and relates to a diesel generator load regulation method and system based on dynamic load regulation. Background Technology

[0002] With the development of wind and solar power technologies, the application of user-installed self-powered power supply is becoming increasingly common. However, the output of wind and solar energy is affected by factors such as weather, time, and season, which may lead to unstable energy supply. This volatility can cause the power system to be unable to provide stable power supply when load demand is high, especially in emergency power supply scenarios. In addition, traditional emergency power supply systems usually rely on diesel generators to provide stable power, which can lead to load fluctuations in diesel generators, especially under conditions of large load changes. When generators are in a low-load or unstable operating state for a long time, fuel consumption efficiency is low and maintenance costs are high.

[0003] Traditional diesel engine emergency power supply systems often lack intelligent dispatching capabilities, have slow system response, and cannot adjust the energy source in a timely manner according to dynamic changes in load. Summary of the Invention

[0004] The purpose of this invention is to provide a diesel generator load regulation method and system based on dynamic load regulation, which adjusts the energy source in a timely manner according to the dynamic changes in load.

[0005] To achieve the above objectives, the basic solution of the present invention is: a diesel generator load regulation method based on dynamic load regulation, comprising the following steps:

[0006] S1, obtain the power output of wind power and solar power;

[0007] S2, collect real-time load power demand, and determine whether the real-time wind power and solar power generation meet the real-time load power demand. If the load power demand is met, proceed to step S3; otherwise, proceed to step S5.

[0008] S3 predicts load electricity demand and wind and solar power generation based on real-time load electricity demand changes, historical load electricity data, and real-time meteorological data.

[0009] S4. If the predicted and actual power generation of wind power and solar power both meet the predicted load power demand, then use wind power and solar power to supply power to the load and store the actual remaining power, then return to step S2.

[0010] S5, determine the stability index of the power system based on real-time load power demand and predicted load power demand;

[0011] S5. Determine the initial load of the diesel generator based on the real-time load power demand, stability index, and power generation from wind and solar power.

[0012] S6. Establish the objective function to schedule diesel generators based on predicted load power demand and initial load.

[0013] The working principle and beneficial effects of this basic solution are as follows: This technical solution flexibly schedules the power output of wind power, solar power, and diesel generators to ensure the stability of energy supply. It monitors load changes in real time and rationally allocates the output of each energy source, reducing the risks caused by fluctuations in a single energy source. Under conditions of rapid load changes, the system can quickly switch to a suitable energy source, preventing power instability. This achieves higher energy utilization efficiency, lower operating costs, and greater power supply stability and flexibility, solving the problems of large energy fluctuations, uneven diesel generator loads, and low renewable energy utilization efficiency in existing technologies.

[0014] Furthermore, based on real-time changes in load electricity demand and historical load electricity data, the method for predicting load electricity demand is as follows:

[0015] Collect past power load time series data to obtain historical load power consumption data;

[0016] Real-time monitoring to obtain changes in the current load's power demand;

[0017] Identify external factors affecting electricity consumption, including weather, temperature, humidity, and holidays;

[0018] Data preprocessing includes missing value imputation, data smoothing, and data standardization;

[0019] Build and train a regression model to predict load electricity demand:

[0020] P(t+1)=β0+β1P(t)+β2ΔP(t)+β3W(t)+ε

[0021] Where P(t+1) is the predicted electricity demand at time t+1, P(t) is the electricity demand at the current time, ΔP(t) is the change in electricity demand at the current time, W(t) is the external influencing factor at the current time; β0, β1, β2, and β3 are regression coefficients, and ε is the error term.

[0022] Based on real-time changes in load power demand and historical load power data, it predicts load power demand, making it easy to use.

[0023] Furthermore, based on real-time meteorological data, the wind power generation P is predicted. wind ,for:

[0024]

[0025] Where ρ is the air density; A is the wind turbine area; V wind For wind speed, C p Let t represent the efficiency of the wind turbine generator, and t represent time.

[0026] Based on real-time meteorological data, the power generation of wind power is predicted for subsequent use.

[0027] Furthermore, based on real-time meteorological data, the solar power generation P is predicted. solar ,for:

[0028] P solar (t)=A solar ·I solar (t)·η solar (t)

[0029] Among them, A solar I represents the area of ​​the solar panel. solar η represents the intensity of solar radiation. solar Let t represent the power generation efficiency, and t represent time.

[0030] Based on real-time meteorological data, the power generation of solar energy and other energy sources can be predicted, which is conducive to the rational allocation of the output of various energy sources.

[0031] Furthermore, the method for determining the stability index S(t) of the power system based on real-time load power demand and predicted load power demand is as follows:

[0032]

[0033] Where j is the historical time number, m is the total number of historical times, and P c The total capacity of the system refers to the maximum power output that the system, composed of solar power generation, wind power generation, battery energy storage, and diesel generators, can provide; α is the weighting coefficient of the load deviation at time j, and β is the weighting coefficient of the frequency deviation, which can be set according to the net eye, α+β=1, P r (tj) represents the real-time load power demand at time tj, P f (tj) represents the predicted load power demand at time tj, f(t) represents the real-time frequency of the power grid, and f0 represents the standard frequency of the power system (50Hz).

[0034] The stability index of the power system is determined based on real-time load power demand and predicted load power demand, thus providing information on the stability of the system power supply.

[0035] Furthermore, based on real-time load power demand, stability index, wind power, and solar power generation, the initial load of the diesel generator is determined. The specific steps are as follows:

[0036] When the stability index is below the threshold S0 (system is stable), the battery takes priority in carrying the load;

[0037] When the stability index is equal to or higher than the threshold, the diesel generator takes priority in carrying the load.

[0038] It is simple to operate and easy to use.

[0039] Furthermore, when the stability index is below the threshold S0:

[0040]

[0041] Among them, P b (t) represents the output power of the battery, P n To fill the power gap, P bmax The maximum output power of the battery:

[0042] P n (t)=P r (t)-P wind (t)-P solar (t)

[0043]

[0044] When the stability index is equal to or higher than the threshold

[0045]

[0046] Among them, P di (t) represents the initial load of the i-th diesel generator, n represents the number of diesel generators, and P r (t) represents the real-time load power demand, then:

[0047] P b (t)=P n (t)-nP di (t).

[0048] When the stability index is below the threshold S0, the system is stable and easy to adjust.

[0049] Furthermore, the objective function is established as follows:

[0050]

[0051] Where i is the generator number, n is the number of diesel generators, and P di Let C be the power of the i-th generator. d P is the cost per unit power of the generator. s For the energy storage system to discharge, C s Let α be the cost per unit power of the energy storage system, and e be the carbon emission unit price. ie represents the carbon emission coefficient of a diesel generator. s The carbon emission coefficient of the energy storage system;

[0052] The constraints are:

[0053] The power of the generator and energy storage system is equal to the real-time load power demand;

[0054] The electrical energy storage capacity of the energy storage system is within the threshold range.

[0055] Establish an objective function to schedule diesel generators based on predicted load power demand and initial load.

[0056] The present invention also provides a diesel generator load regulation system based on dynamic load regulation, including a data acquisition unit and a processing unit;

[0057] The data acquisition unit is used to collect the output of various energy sources, real-time load power demand, historical load power data, and real-time meteorological data. The output end of the data acquisition unit is connected to the input end of the processing unit.

[0058] The processing unit executes the method described in this invention and adjusts the energy source in a timely manner according to the dynamic changes in the load.

[0059] This system monitors load changes in real time and rationally allocates the output of various energy sources to reduce the risks caused by fluctuations in a single energy source. Attached Figure Description

[0060] Figure 1 This is a schematic flowchart of the diesel generator load regulation method based on dynamic load regulation according to the present invention. Detailed Implementation

[0061] Embodiments of the present invention are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0062] In the description of this invention, it should be understood that the terms "longitudinal", "lateral", "up", "down", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0063] In the description of this invention, unless otherwise specified and limited, it should be noted that the terms "installation", "connection" and "linking" should be interpreted broadly. For example, they can refer to mechanical or electrical connections, or internal connections between two components. They can be direct connections or indirect connections through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms according to the specific circumstances.

[0064] This invention discloses a diesel generator load regulation method based on dynamic load adjustment. Through intelligent control strategies, the load of the diesel generator is adjusted to its optimal operating state. When renewable energy sources (such as wind and solar power) are abundant, the workload of the diesel generator is reduced, relying on clean energy as much as possible to lower fuel consumption; when renewable energy sources are insufficient, the diesel generator is flexibly activated to ensure stable power supply. Figure 1 As shown, the diesel generator load regulation method based on dynamic load regulation includes the following steps:

[0065] S1, obtain the power output of wind power and solar power;

[0066] S2, collect real-time load power demand, and determine whether the real-time wind power and solar power generation meet the real-time load power demand. If the load power demand is met, proceed to step S3; otherwise, proceed to step S5.

[0067] S3 predicts load electricity demand and wind and solar power generation based on real-time load electricity demand changes, historical load electricity data, and real-time meteorological data.

[0068] S4. If the predicted and actual power generation of wind power and solar power both meet the predicted load power demand, then use wind power and solar power to supply power to the load and store the actual remaining power, then return to step S2.

[0069] S5, determine the stability index of the power system based on real-time load power demand and predicted load power demand;

[0070] S5. Determine the initial load of the diesel generator based on the real-time load power demand, stability index, and power generation from wind and solar power.

[0071] S6. Establish the objective function to schedule diesel generators based on predicted load power demand and initial load.

[0072] In a preferred embodiment of the present invention, the method for predicting load power demand based on real-time changes in load power demand and historical load power demand data is as follows:

[0073] Collect past power load time series data to obtain historical load power consumption data;

[0074] Real-time monitoring to obtain changes in the current load's power demand;

[0075] Identify external factors affecting electricity consumption, including weather, temperature, humidity, and holidays;

[0076] Data preprocessing includes missing value imputation, data smoothing, and data standardization;

[0077] Build and train a regression model to predict load electricity demand:

[0078] P(t+1)=β0+β1P(t)+β2ΔP(t)+β3W(t)+ε

[0079] Where P(t+1) is the predicted electricity demand at time t+1, P(t) is the electricity demand at the current time, ΔP(t) is the change in electricity demand at the current time, W(t) is the external influencing factor at the current time; β0, β1, β2, and β3 are regression coefficients, and ε is the error term.

[0080] In a preferred embodiment of the present invention, the wind power generation P is predicted based on real-time meteorological data. wind ,for:

[0081]

[0082] Where ρ is the air density; A is the wind turbine area; V wind For wind speed, C p Let t represent the efficiency of the wind turbine generator, and t represent time.

[0083] In a preferred embodiment of the present invention, the solar power generation P is predicted based on real-time meteorological data. solar ,for:

[0084] P solar (t)=A solar ·I solar (t)·η solar (t)

[0085] Among them, A solar I represents the area of ​​the solar panel. solar η represents the intensity of solar radiation. solar Let t represent the power generation efficiency, and t represent time.

[0086] In a preferred embodiment of the present invention, the method for determining the stability index S(t) of the power system based on the real-time load power demand and the predicted load power demand is as follows:

[0087]

[0088] Where j is the historical time number, m is the total number of historical times, and P cThe total capacity of the system refers to the maximum power output that the system, composed of solar power generation, wind power generation, battery energy storage, and diesel generators, can provide; α is the weighting coefficient of the load deviation at time j, and β is the weighting coefficient of the frequency deviation, which can be set according to the net eye, α+β=1, P r (tj) represents the real-time load power demand at time tj, P f (tj) represents the predicted load power demand at time tj, f(t) represents the real-time frequency of the power grid, and f0 represents the standard frequency of the power system (50Hz).

[0089] In a preferred embodiment of the present invention, the initial load of the diesel generator is determined based on the real-time load power demand, stability index, wind power, and solar power generation. The specific steps are as follows:

[0090] When the stability index is below the threshold S0 (system is stable), the battery takes priority in carrying the load;

[0091] When the stability index is equal to or higher than the threshold, the diesel generator takes priority in carrying the load.

[0092] In a preferred embodiment of the present invention, when the stability index is below the threshold S0:

[0093]

[0094] Among them, P b (t) represents the output power of the battery, P n To fill the power gap, P bmax The maximum output power of the battery:

[0095] P n (t)=P r (t)-P wind (t)-P solar (t)

[0096]

[0097] When the stability index is equal to or higher than the threshold

[0098]

[0099] Among them, P di (t) represents the initial load of the i-th diesel generator, n represents the number of diesel generators, and P r (t) represents the real-time load power demand, then:

[0100] P b (t)=P n (t)-nP di (t). In a preferred embodiment of the present invention, the objective function is established as:

[0101]

[0102] Where i is the generator number, n is the number of diesel generators, and P di Let C be the power of the i-th generator. d P is the cost per unit power of the generator. s For the energy storage system to discharge, C s Let α be the cost per unit power of the energy storage system, and e be the carbon emission unit price. i e represents the carbon emission coefficient of a diesel generator. s The carbon emission coefficient of the energy storage system;

[0103] The constraints are:

[0104] The power of the generator and energy storage system is equal to the real-time load power demand;

[0105] The electrical energy storage capacity of the energy storage system is within the threshold range.

[0106] The present invention also provides a diesel generator load regulation system based on dynamic load regulation, including a data acquisition unit and a processing unit.

[0107] The data acquisition unit is used to collect the output of various energy sources, real-time load power demand, historical load power data, and real-time meteorological data. The output of the data acquisition unit is electrically connected to the input of the processing unit. The processing unit executes the method described in this invention to adjust the energy source in a timely manner according to the dynamic changes in the load.

[0108] A multi-energy system with dynamic load regulation can flexibly schedule the power output of wind, solar, and diesel generators, ensuring a stable energy supply. The system can monitor load changes in real time and rationally allocate the output of each energy source, reducing the risks caused by fluctuations in a single energy source.

[0109] Under conditions of rapid load changes, the system cannot quickly switch to a suitable energy source, leading to unstable power supply. This new technology achieves higher energy efficiency, lower operating costs, and greater power supply stability and flexibility, solving the problems of large energy fluctuations, uneven diesel generator loads, and low renewable energy utilization efficiency in existing technologies.

[0110] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0111] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims

1. A diesel generator load regulation method based on dynamic load regulation, characterized in that, Includes the following steps: S1, obtain the power output of wind power and solar power; S2, collect real-time load power demand, and determine whether the real-time wind power and solar power generation meet the real-time load power demand. If the load power demand is met, proceed to step S3; otherwise, proceed to step S5. S3 predicts load electricity demand and wind and solar power generation based on real-time load electricity demand changes, historical load electricity data, and real-time meteorological data. S4. If the predicted and actual power generation of wind power and solar power both meet the predicted load power demand, then use wind power and solar power to supply power to the load and store the actual remaining power, then return to step S2. S5, determine the stability index of the power system based on real-time load power demand and predicted load power demand; S6. Determine the initial load of the diesel generator based on the real-time load power demand, stability index, and power generation from wind and solar power. S7. Establish the objective function to schedule diesel generators based on predicted load power demand and initial load. The method for determining the stability index S(t) of the power system based on real-time load power demand and predicted load power demand is as follows: Where j is the historical time number, m is the total number of historical times, and P c The total capacity of the system refers to the maximum power output that the system, composed of solar power generation, wind power generation, battery energy storage, and diesel generators, can provide; α is the weighting coefficient of the load deviation at time j, and β is the weighting coefficient of the frequency deviation, which can be set empirically, α + β = 1, P r (tj) represents the real-time load power demand at time tj, P f (tj) represents the predicted load power demand at time tj, f(t) represents the real-time frequency of the power grid, and f0 represents the standard frequency of the power system. Establish the objective function as follows: Where i is the generator number, n is the number of diesel generators, and P di Let C be the power of the i-th generator. d C represents the cost per unit power of the generator. s Let α be the cost per unit power of the energy storage system, and e be the carbon emission unit price. i e represents the carbon emission coefficient of a diesel generator. s The carbon emission coefficient of the energy storage system; The constraints are: The power of the generator and energy storage system is equal to the real-time load power demand; The electrical energy storage capacity of the energy storage system is within the threshold range.

2. The diesel generator load regulation method based on dynamic load regulation as described in claim 1, characterized in that, The method for predicting load electricity demand based on real-time changes in load electricity demand and historical load electricity demand data is as follows: Collect past power load time series data to obtain historical load power consumption data; Real-time monitoring to obtain changes in the current load's power demand; Identify external factors affecting electricity consumption, including weather, temperature, humidity, and holidays; Data preprocessing includes missing value imputation, data smoothing, and data standardization; Build and train a regression model to predict load electricity demand: P(t+1)=β0+β1P(t)+β2ΔP(t)+β3W(t)+ε Where P(t+1) is the predicted electricity demand at time t+1, P(t) is the electricity demand at the current time, ΔP(t) is the change in electricity demand at the current time, W(t) is the external influencing factor at the current time; β0, β1, β2, and β3 are regression coefficients, and ε is the error term.

3. The diesel generator load regulation method based on dynamic load regulation as described in claim 1, characterized in that, Based on real-time meteorological data, the wind power generation P is predicted. wind ,for: Where ρ is the air density; A is the wind turbine area; V wind For wind speed, C p Let t represent the efficiency of the wind turbine generator, and t represent time.

4. The diesel generator load regulation method based on dynamic load regulation as described in claim 1, characterized in that, Based on real-time meteorological data, the solar power generation P is predicted. solar ,for: P solar (t)=A solar ·I solar (t)·η solar (t) Among them, A solar I represents the area of ​​the solar panel. solar η represents the intensity of solar radiation. solar Let t represent the power generation efficiency, and t represent time.

5. The diesel generator load regulation method based on dynamic load regulation as described in claim 1, characterized in that, Based on real-time load power demand, stability index, wind power, and solar power generation, determine the initial load of the diesel generator. The specific steps are as follows: When the stability index is below the threshold S0, the battery takes priority in carrying the load. When the stability index is equal to or higher than the threshold, the diesel generator takes priority in carrying the load.

6. The diesel generator load regulation method based on dynamic load regulation as described in claim 5, characterized in that, When the stability index is below the threshold S0: Among them, P b (t) represents the output power of the battery, P n To fill the power gap, P bmax The maximum output power of the battery: P n (t)=P r (t)-P wind (t)-P solar (t) When the stability index is equal to or higher than the threshold Among them, P di (t) represents the initial load of the i-th diesel generator, n represents the number of diesel generators, and P r (t) represents the real-time load power demand, then: P b (t)=P n (t)-nP di (t)。 7. A diesel generator load regulation system based on dynamic load regulation, characterized in that, Includes a data acquisition unit and a processing unit; The data acquisition unit is used to collect the output of various energy sources, real-time load power demand, historical load power data, and real-time meteorological data. The output end of the data acquisition unit is connected to the input end of the processing unit. The processing unit performs the method described in any one of claims 1-6, and adjusts the energy source in a timely manner according to the dynamic changes in the load.

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