Diesel generator load adjusting method and system based on dynamic load adjustment

Through dynamic load regulation method, combined with the output of wind power, solar energy and diesel generators, power supply stability under large load changes is achieved, and the problems of diesel generator load fluctuations and low renewable energy utilization efficiency are solved, and energy utilization efficiency and power supply stability are improved.

CN120109926AActive Publication Date: 2025-06-06SHANDONG HUALI ELECTROMECHANICAL

Patent Information

Application Number
CN202510325844.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-19
Publication Date
2025-06-06
Estimated Expiration
2045-03-19

AI Technical Summary

Technical Problem

The prior art is difficult to provide stable power supply under large load changes. The load fluctuations of diesel generators lead to low fuel consumption efficiency, high operation and maintenance costs, and lack of intelligent scheduling capabilities and slow response.

Method used

By obtaining the power output of wind power and solar energy, collecting load power demand in real time, predicting load power demand and wind power and solar energy power generation, determining the initial load of the diesel generator, and establishing an objective function for scheduling to achieve dynamic load regulation.

Benefits of technology

It achieves stability of energy supply, reduces the risks brought by fluctuations in a single energy source, improves energy utilization efficiency, reduces operation and maintenance costs, and ensures higher power supply stability and flexibility.

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Abstract

The invention belongs to the technical field of emergency power supply systems, and particularly discloses a diesel generator load regulation method and system based on dynamic load regulation, and the method comprises the following steps: obtaining the power generation output quantity of wind power and solar power generation, collecting the real-time load power demand, and obtaining the power generation output quantity of the wind power and solar power generation; judging whether the real-time generating capacity of wind power and solar energy meets the real-time load electricity demand or not, predicting the load electricity demand and the generating capacity of wind power and solar energy, and determining a stability index of the electricity utilization system according to the real-time load electricity demand and the predicted load electricity demand; determining the initial load of the diesel generator according to the real-time load electricity demand, the stability index and the generating capacity of wind power and solar energy; and establishing a target function, and scheduling the diesel generator based on the predicted load electricity demand and the initial load. By adopting the technical scheme, the power output of wind energy, solar energy and diesel generators is flexibly dispatched, and the energy source is timely adjusted according to the dynamic change of the load.
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Description

Technical Field

[0001] The invention belongs to the technical field of emergency power supply systems, and relates to a diesel generator load regulation method and system based on dynamic load regulation. Background Art

[0002] With the development of wind and solar energy technologies, it is becoming more and more common for users to provide their own power supply after installation. 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 will cause the power system to be unable to provide stable power supply when the 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 will cause load fluctuations of diesel generators, especially when the load changes greatly. When the generator is in a low-load or unstable operating state for a long time, the fuel consumption efficiency is low and the operation and maintenance cost is high.

[0003] Traditional diesel engine emergency power supply systems often lack intelligent scheduling capabilities, have slow system responses, and are unable to adjust energy sources in a timely manner according to dynamic changes in load. Summary of the invention

[0004] The object of the present invention is to provide a diesel generator load regulation method and system based on dynamic load regulation, which can timely adjust the energy source according to the dynamic changes of the load.

[0005] In order to achieve the above object, the basic scheme of the present invention is: a diesel generator load regulation method based on dynamic load regulation, comprising the following steps:

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

[0007] S2, collecting real-time load power demand, judging whether the real-time wind power and solar power generation can meet the real-time load power demand, if it can meet the load power demand, executing step S3, otherwise executing step S5;

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

[0009] S4, if the predicted power generation and actual power generation of wind power and solar energy both meet the predicted load power demand, the load is powered by wind power and solar energy and the actual remaining power is stored, and the process returns to step S2;

[0010] S5, determining a stability index of the power system according to the real-time load power demand and the predicted load power demand;

[0011] S5, determining the initial load of the diesel generator according to the real-time load power demand, stability index, and wind power and solar power generation;

[0012] S6, establish the objective function and schedule the diesel generator based on the predicted load power demand and initial load.

[0013] The working principle and beneficial effects of this basic solution are: This technical solution flexibly dispatches the power output of wind energy, solar energy and diesel generators to ensure the stability of energy supply. Monitor load changes in real time, reasonably allocate the output of each energy source, and reduce the risk of fluctuations in a single energy source. In the case of rapid load changes, the system cannot quickly switch to a suitable energy source, resulting in unstable power supply. It achieves higher energy utilization efficiency, lower operating costs, higher power supply stability and flexibility, and solves the problems of large energy volatility, uneven load of diesel generators, and low utilization efficiency of renewable energy in the prior art.

[0014] Furthermore, based on the change in real-time load power demand and historical load power demand data, the method for predicting load power demand is:

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

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

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

[0018] Data preprocessing, including missing value filling, data smoothing and data standardization;

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

[0020] P(t+1)=β 0 +β 1 P(t)+β 2 ΔP(t)+β 3 W(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, and W(t) is the external influencing factor at the current time; β 0 , β 1 , β 2 , β 3 is the regression coefficient and ε is the error term.

[0022] Based on the real-time load power demand changes and historical load power demand data, the load power demand is predicted for easy 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 area of ​​the wind wheel, V wind is the wind speed, C p is the wind turbine efficiency, and t is the time.

[0026] Based on real-time meteorological data, wind power generation 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 is the area of ​​the solar panel, I solar is the solar radiation intensity, η solar is the power generation efficiency, and t is the time.

[0030] Based on real-time meteorological data, the power generation of solar energy and the power generation of each energy source are predicted, which is conducive to the rational allocation of the output of each energy source.

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

[0032]

[0033] Among them, j is the historical moment number, m is the total number of historical moments, P c is the total capacity of the system, that is, the maximum power output that can be provided by the system consisting of solar power generation, wind power generation, battery energy storage, and diesel generators; α is the weight coefficient of the load deviation at time j, and β is the weight coefficient of the frequency deviation, which can be set according to the net eye, α+β=1, P r (tj) is the real-time load power demand at time tj, P f (tj) is the predicted load power demand at time tj, f(t) is the real-time frequency of the power grid, and f 0 It is the standard frequency of the power system (50HZ).

[0034] Determine the stability index of the power system based on the real-time load power demand and predicted load power demand to provide system power supply stability.

[0035] Further, according to the 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:

[0036] When the stability index is lower than the threshold S 0 When (system is stable), the battery takes priority to carry 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] Simple operation and easy to use.

[0039] Furthermore, when the stability index is lower than the threshold S 0 hour:

[0040]

[0041] Among them, P b (t) is the output power of the battery, P n is the electricity gap to be supplemented, P bmax The maximum output power of the battery is:

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

[0043]

[0044] When the stability index is equal to or above the threshold,

[0045]

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

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

[0048] When the stability index is lower than the threshold S 0 When the system is stable, it is easy to adjust.

[0049] Further, the objective function is established as:

[0050]

[0051] Where i is the serial number of the generator, n is the number of diesel generators, P di is the power of the ith generator, C d is the cost of the generator per unit power, P s Discharge the energy storage system, C s is the cost per unit power of the energy storage system, α is the unit price of carbon emissions, e i is the carbon emission coefficient of the diesel generator, e s is 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 a threshold range.

[0055] The objective function is established to dispatch the diesel generators based on the predicted load power demand and initial load.

[0056] The present invention also provides a diesel generator load regulation system based on dynamic load regulation, comprising 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 of the present invention and timely adjusts the energy source according to the dynamic changes of the load.

[0059] The system monitors load changes in real time, rationally allocates the output of various energy sources, and reduces the risks brought by fluctuations in a single energy source. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 It is a flow chart of a diesel generator load regulation method based on dynamic load regulation of the present invention. DETAILED DESCRIPTION

[0061] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0062] In the description of the present invention, it is necessary to understand that the terms "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0063] In the description of the present invention, unless otherwise specified and limited, it should be noted that the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a mechanical connection or an electrical connection, or it can be the internal connection between two components. It can be a direct connection or an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to the specific circumstances.

[0064] The present invention discloses a method for adjusting the load of a diesel generator based on dynamic load regulation. Through an intelligent control strategy, the load of the diesel generator is adjusted to the optimal working state. When renewable energy (such as wind energy and solar energy) is sufficient, the working load of the diesel generator is reduced, and clean energy is relied on as much as possible to reduce fuel consumption; when renewable energy is insufficient, the diesel generator is flexibly enabled 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, obtaining the power output of wind power and solar power;

[0066] S2, collecting real-time load power demand, judging whether the real-time wind power and solar power generation can meet the real-time load power demand, if it can meet the load power demand, executing step S3, otherwise executing step S5;

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

[0068] S4, if the predicted power generation and actual power generation of wind power and solar energy both meet the predicted load power demand, the load is powered by wind power and solar energy and the actual remaining power is stored, and the process returns to step S2;

[0069] S5, determining a stability index of the power system according to the real-time load power demand and the predicted load power demand;

[0070] S5, determining the initial load of the diesel generator according to the real-time load power demand, stability index, and wind power and solar power generation;

[0071] S6, establish the objective function and schedule the diesel generator based on the predicted load power demand and initial load.

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

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

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

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

[0076] Data preprocessing, including missing value filling, data smoothing and data standardization;

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

[0078] P(t+1)=β 0 +β 1 P(t)+β 2 ΔP(t)+β 3 W(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, and W(t) is the external influencing factor at the current time; β 0 , β 1 , β 2 , β 3 is the regression coefficient and ε is the error term.

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

[0081]

[0082] Where ρ is the air density; A is the area of ​​the wind wheel, V wind is the wind speed, C p is the wind turbine efficiency, and t is the 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 is the area of ​​the solar panel, I solar is the solar radiation intensity, η solar is the power generation efficiency, and t is the time.

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

[0087]

[0088] Among them, j is the historical moment number, m is the total number of historical moments, P c is the total capacity of the system, that is, the maximum power output that can be provided by the system consisting of solar power generation, wind power generation, battery energy storage, and diesel generators; α is the weight coefficient of the load deviation at time j, and β is the weight coefficient of the frequency deviation, which can be set according to the net eye, α+β=1, P r (tj) is the real-time load power demand at time tj, P f (tj) is the predicted load power demand at time tj, f(t) is the real-time frequency of the power grid, and f 0 It is 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 according to the real-time load power demand, stability index, wind power, and solar power generation, and the specific steps are:

[0090] When the stability index is lower than the threshold S 0 When (system is stable), the battery takes priority to carry 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 lower than the threshold value S 0 hour:

[0093]

[0094] Among them, P b (t) is the output power of the battery, P n is the electricity gap to be supplemented, P bmax The maximum output power of the battery is:

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

[0096]

[0097] When the stability index is equal to or above the threshold,

[0098]

[0099] Among them, P di (t) is the initial load of the i-th diesel generator, n is the number of diesel generators, P r (t) is 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 serial number of the generator, n is the number of diesel generators, P di is the power of the ith generator, C d is the cost of the generator per unit power, P s Discharge the energy storage system, C s is the cost per unit power of the energy storage system, α is the unit price of carbon emissions, e i is the carbon emission coefficient of the diesel generator, e s is 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 a threshold range.

[0106] The present invention also provides a diesel generator load regulation system based on dynamic load regulation, comprising 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 end of the data acquisition unit is electrically connected to the input end of the processing unit. The processing unit executes the method of the present invention and timely adjusts the energy source according to the dynamic changes of the load.

[0108] Through the multi-energy system with dynamic load regulation, the power output of wind, solar and diesel generators can be flexibly dispatched to ensure the stability of energy supply. The system can monitor load changes in real time, reasonably allocate the output of each energy source, and reduce the risk caused by fluctuations in a single energy source.

[0109] In the case of rapid load changes, the system cannot quickly switch to a suitable energy source, resulting in unstable power supply. It achieves higher energy utilization efficiency, lower operating costs, higher power supply stability and flexibility, and solves the problems of large energy volatility, uneven diesel generator load, and low renewable energy utilization efficiency in existing technologies.

[0110] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

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

Claims

1. A diesel generator load regulation method based on dynamic load regulation, characterized in that: The steps include: S1, obtaining the power output of wind power and solar power; S2, collecting real-time load power demand, determining whether the real-time wind power and solar power generation meet the real-time load power demand, if so, executing step S3, otherwise executing step S5; S3, based on the changes in real-time load power demand, historical load power data, and real-time meteorological data, predicts load power demand and wind and solar power generation; S4, if the predicted power generation and actual power generation of wind power and solar energy both meet the predicted load power demand, the load is powered by wind power and solar energy and the actual remaining power is stored, and the process returns to step S2; S5, determining a stability index of the power system according to the real-time load power demand and the predicted load power demand; S5, determining the initial load of the diesel generator according to the real-time load power demand, stability index, and wind power and solar power generation; S6, establish the objective function and schedule the diesel generator based on the predicted load power demand and initial load.

2. The diesel generator load regulation method based on dynamic load regulation according to claim 1, characterized in that: Based on the change in real-time load power demand and historical load power demand data, the method for predicting load power demand is: Collect past power load time series data and obtain historical load power consumption data; Real-time monitoring to obtain the change in current load power demand; Identify external factors that affect electricity consumption, including weather, temperature, humidity, and holidays; Data preprocessing, including missing value filling, data smoothing and data standardization; Build and train a regression model to predict load power demand: P(t+1)=β0+β1P(t)+β2ΔP(t)+β3W(t)+ε Among them, P(t+1) is the predicted electricity demand at time t+1, P(t) is the electricity demand at the current moment, ΔP(t) is the change in electricity demand at the current moment, W(t) is the external influencing factor at the current moment; β0, β1, β2, β3 are regression coefficients, and ε is the error term.

3. The diesel generator load regulation method based on dynamic load regulation according to 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 area of ​​the wind wheel, V wind is the wind speed, C p is the wind turbine efficiency, and t is the time.

4. The diesel generator load regulation method based on dynamic load regulation according to 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 is the area of ​​the solar panel, I solar is the solar radiation intensity, η solar is the power generation efficiency, and t is the time.

5. The diesel generator load regulation method based on dynamic load regulation according to claim 1, characterized in that: 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: Among them, j is the historical moment number, m is the total number of historical moments, P c is the total capacity of the system, that is, the maximum power output that can be provided by the system consisting of solar power generation, wind power generation, battery energy storage, and diesel generators; α is the weight coefficient of the load deviation at time j, and β is the weight coefficient of the frequency deviation, which can be set according to the net eye, α+β=1, P r (tj) is the real-time load power demand at time tj, P f (tj) is the predicted load power demand at time tj, f(t) is the real-time frequency of the power grid, and f0 is the standard frequency of the power system.

6. The diesel generator load regulation method based on dynamic load regulation according to claim 1, characterized in that: Determine the initial load of the diesel generator according to the real-time load power demand, stability index, wind power, and solar power generation. The specific steps are as follows: When the stability index is lower than 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.

7. The diesel generator load regulation method based on dynamic load regulation according to claim 6, characterized in that: When the stability index is lower than the threshold S0: Among them, P b (t) is the output power of the battery, P n is the electricity gap to be supplemented, P bmax The maximum output power of the battery is: P n (t)=P r (t)-P wind (t)-P solar (t) When the stability index is equal to or above the threshold, Among them, P di (t) is the initial load of the i-th diesel generator, n is the number of diesel generators, P r (t) is the real-time load power demand, then: P b (t)=P n (t)-nP di (t)。 8. The diesel generator load regulation method based on dynamic load regulation according to claim 1, characterized in that: The objective function is established as: Where i is the serial number of the generator, n is the number of diesel generators, P di is the power of the ith generator, C d is the cost of the generator per unit power, P s Discharge the energy storage system, C s is the cost per unit power of the energy storage system, α is the unit price of carbon emissions, e i is the carbon emission coefficient of the diesel generator, e s is 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 a threshold range.

9. A diesel generator load regulation system based on dynamic load regulation, characterized in that: It 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 executes the method described in any one of claims 1-8, and timely adjusts the energy source according to the dynamic changes of the load.

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