Power plant optimal scheduling method and system considering multiple energy forms

Abstract

The invention provides a power plant optimal scheduling method and system considering multiple energy forms, and belongs to the technical field of optimal scheduling, and the method specifically comprises the steps: taking the power generation amount of new energy equipment as the supplement of auxiliary power in a reliable adjustment time period, and directly carrying out the adjustment response processing through the power generation amount of the new energy equipment when there is an adjustment demand, when the power quality is not in the power quality reliable period, the power generation amount of the new energy equipment is subjected to heat supply load compensation processing of the power plant, and when the power quality is not in the adjustment reliable period and belongs to the power quality reliable period, the fluctuation condition of the power generation amount of the new energy equipment in the power quality reliable period of the power plant is used; and the energy utilization form of the generating capacity of the new energy equipment is determined, so that the regulation processing reliability of the thermoelectric unit is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of optimization scheduling, and in particular relates to a method and system for optimizing scheduling of a power plant considering multiple energy forms. Background Art

[0002] With the rapid development of energy storage technology and new energy technology, power plants have gradually transformed from single thermal power development to a coordinated output mode of multiple energy forms such as new energy, energy storage and thermal power. On the basis of improving the flexibility of the units, the complexity of the load scheduling of the units has also become greater.

[0003] In order to achieve optimal scheduling of power plants with various output modes, for example, CN202410493391.9 "A method for optimizing load scheduling of generator sets based on molten salt heat storage" realizes load optimization scheduling of generator sets based on molten salt heat storage, which improves the flexibility and reliability of load scheduling. However, the above technical solution has the following technical problems:

[0004] There are often various forms of new energy in the power plant, such as wind power and photovoltaics. There are certain differences in the daily load fluctuations of different forms of new energy. Therefore, if the fluctuations in power generation of different forms of new energy are not taken into account, the flexibility of the power plant's regulation and processing cannot be guaranteed.

[0005] In response to the above technical problems, the present invention provides a method and system for optimizing the scheduling of power plants taking into account multiple energy forms. Summary of the invention

[0006] A method for optimizing the dispatch of power plants considering multiple energy forms, specifically comprising:

[0007] Predict the power generation of new energy equipment in the power plant at different time periods, determine the changes in the proportion of power generation of different types of new energy equipment at different time periods, and determine the reliable power quality period in the said period based on the deviation of the power output waveform of different types of new energy equipment;

[0008] Determine the deviation between the regulated load at different regulation depths and the power generation of the new energy equipment, and determine the regulation reliable time period at different power quality reliable time periods in combination with the historical regulation data at different regulation depths;

[0009] When the regulation is reliable during the period, the power generation of the new energy equipment is used as a supplement to the factory power consumption, and when there is a regulation demand, the power generation of the new energy equipment is directly used for regulation response processing;

[0010] When the power quality is not reliable, the power generation of the new energy equipment is used to compensate the heating load of the power plant;

[0011] When it is not in the reliable regulation period but in the reliable power quality period, the energy utilization form of the power generation of the new energy equipment is determined according to the fluctuation of the power generation of the new energy equipment in the reliable power quality period of the power plant.

[0012] The beneficial effects of the present invention are:

[0013] Based on the changes in the proportion of power generation of different types of new energy equipment and the deviation of the power output waveform, the reliable power quality time period in the time period is determined. Therefore, not only the changes in the proportion of power generation of different types of new energy equipment, but also the deviation of the power output waveform caused by the change in power generation are taken into account, thereby realizing the screening of reliable power quality time periods from multiple angles, and also laying the foundation for adopting differentiated energy utilization forms in different time periods.

[0014] The energy utilization form of the power generation of the new energy equipment is determined based on the fluctuation of the power generation of the new energy equipment during the period of reliable power quality of the power plant, thereby avoiding the technical problem of insufficient reliability of the energy storage device due to the frequent charging and discharging of the energy storage device caused by the fluctuation of the power generation of the new energy equipment during the period of reliable power quality. The reliability of the energy storage device is improved on the basis of ensuring the reliability of the regulation processing.

[0015] A further technical solution is that the power generation is predicted based on weather data of different time periods, and specifically determined by the average value of historical power generation of new energy equipment under similar weather data.

[0016] A further technical solution is that the similar weather data is weather data that is within a preset deviation range from weather data of different dimensions in the time period.

[0017] A further technical solution is that the energy utilization form of the power generation of the new energy equipment includes compensating the heating load of the power plant and replenishing the energy of the energy storage equipment of the power plant.

[0018] A further technical solution is to determine the energy utilization form of the power generation of the new energy equipment through the power generation variation coefficient, specifically including:

[0019] When the power generation variation coefficient is not within the preset variation coefficient range, the power generation of the new energy equipment is used for energy replenishment processing of the energy storage equipment of the power plant;

[0020] When the power generation variation coefficient is within a preset variation coefficient range, the power generation of the new energy equipment is used to compensate for the heating load of the power plant.

[0021] On the other hand, a computer system is provided in an embodiment of the present application, on which a computer program is stored. When the computer program is executed in a computer, the computer is caused to execute the above-mentioned method for optimizing the scheduling of a power plant taking into account multiple energy forms.

[0022] On the other hand, a computer program product is provided in an embodiment of the present application, characterized in that the computer program product stores instructions, and when the instructions are executed by a computer, the computer implements the above-mentioned method for optimizing the scheduling of power plants considering multiple energy forms. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0024] Figure 1 It is a flow chart of a method for optimal dispatch of power plants considering multiple energy forms;

[0025] Figure 2 It is a flow chart of a method for determining a reliable power quality period in a time period;

[0026] Figure 3 is a flow chart of a method for regulating determination of a reliable period;

[0027] Figure 4 It is a framework diagram of the energy dispatch model of the power plant. DETAILED DESCRIPTION

[0028] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of ways and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that the present invention will be comprehensive and complete and fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar structures, and thus their detailed description will be omitted.

[0029] The terms "a", "an", "the", and "said" are used to indicate the presence of one or more elements / components / etc.; the terms "comprising" and "having" are used to express an open-ended inclusive meaning and mean that additional elements / components / etc. may be present in addition to the listed elements / components / etc.

[0030] Example 1

[0031] To solve the above problems, according to one aspect of the present invention, Figure 1 As shown in the figure, a method for optimizing the dispatch of power plants considering multiple energy forms is provided. Figure 4 As shown, the present invention provides a framework diagram of an energy dispatch model of a power plant, which specifically includes:

[0032] Predict the power generation of new energy equipment in the power plant at different time periods, determine the changes in the proportion of power generation of different types of new energy equipment at different time periods, and determine the reliable power quality period in the said period based on the deviation of the power output waveform of different types of new energy equipment;

[0033] Determine the deviation between the regulated load at different regulation depths and the power generation of the new energy equipment, and determine the regulation reliable time period at different power quality reliable time periods in combination with the historical regulation data at different regulation depths;

[0034] When the regulation is reliable during the period, the power generation of the new energy equipment is used as a supplement to the factory power consumption, and when there is a regulation demand, the power generation of the new energy equipment is directly used for regulation response processing;

[0035] When the power quality is not reliable, the power generation of the new energy equipment is used to compensate the heating load of the power plant;

[0036] When it is not in the reliable regulation period but in the reliable power quality period, the energy utilization form of the power generation of the new energy equipment is determined according to the fluctuation of the power generation of the new energy equipment in the reliable power quality period of the power plant.

[0037] Furthermore, the power generation is predicted based on weather data of different time periods, and is specifically determined by an average value of historical power generation of new energy equipment under similar weather data.

[0038] Specifically, the similar weather data is weather data that is within a preset deviation range from weather data of different dimensions in the time period.

[0039] It should be noted that the new energy equipment includes photovoltaics and wind turbines.

[0040] Optionally, the change in the proportion of the power generation is determined according to the power generation of different types of new energy equipment at different times in the time period.

[0041] Furthermore, the regulation depth includes peak regulation depth and frequency regulation depth.

[0042] Specifically, the deviation of the electric energy output waveform of the new energy device is determined according to the electric energy output waveform of the new energy device under the power generation amount.

[0043] Specifically, Figure 2 As shown, the method for determining the reliable power quality period in the period is:

[0044] Determine the change in the proportion of power generation of different types of new energy equipment in the time period at different times based on the change in the proportion of power generation of different types of new energy equipment in the time period, and determine the time of proportion change in the time period based on the change in the proportion at different times;

[0045] Based on the deviation of the electric energy output waveform of different types of new energy equipment, determine the electric energy output waveform of the new energy equipment under different proportions of power generation, and determine the waveform abnormal moment of the time period through the deviation of the electric energy output waveform of the new energy equipment under different proportions of power generation from the preset electric energy waveform;

[0046] Whether the time period is a time period with reliable power quality is determined by the proportion of the change moments and the number of abnormal waveform moments in the time period.

[0047] Furthermore, the proportion change moment is a moment when the change amount of the proportion with respect to an adjacent moment is not within a preset change amount range.

[0048] Optionally, the method for determining the reliable power quality period in the period includes steps S11-S13, specifically:

[0049] S11 determines the change in the proportion of power generation of different types of new energy equipment in the time period at different times based on the change in the proportion of power generation of different types of new energy equipment in the time period, and determines the proportion change coefficient of the time period based on the change in the proportion at different times;

[0050] S12 determines the power output waveform of the new energy device under different proportions of power generation based on the deviation of the power output waveform of different types of new energy devices, and determines the waveform abnormality coefficient of the time period according to the deviation between the power output waveform of the new energy device and the preset power waveform under different proportions of power generation;

[0051] S13 determines the power quality assessment coefficient of the time period through the waveform anomaly coefficient and the proportion variation coefficient of the time period, and determines whether the time period is a time period with reliable power quality based on the power quality assessment coefficient of the time period.

[0052] Optionally, the power quality assessment coefficient of the time period is determined based on an average value of a waveform anomaly coefficient and a proportion variation coefficient of the time period.

[0053] In another embodiment, the coefficient of variation of the proportion of the time period is determined according to an average value of the variation of the proportion at different moments.

[0054] Optionally, the above step S11 includes steps S111-S113, which are specifically:

[0055] S111 determines the change in the proportion of power generation of different types of new energy equipment in the period at different times according to the change in the proportion of power generation of different types of new energy equipment in the period, and when it is determined that there is a change in the proportion at different times according to the change in the proportion, proceeds to step S112; when there is no change in the proportion, proceeds to step S113;

[0056] S112: when the number of the proportion change moments is greater than the preset number of change moments, it is determined that the period does not belong to the reliable power quality period; when the number of the proportion change moments is not greater than the preset number of change moments, the process proceeds to step S113;

[0057] S113 determines the proportion variation coefficient of the time period based on the proportion variation at different times. When the proportion variation coefficient does not meet the requirements, it is determined that the time period does not belong to the power quality reliable time period. When the proportion variation coefficient meets the requirements, it proceeds to step S12.

[0058] Optionally, the above step S12 includes steps S121-S124, specifically:

[0059] S121 determines the power output waveform of the new energy device under different proportions of power generation based on the deviation of the power output waveform of different types of new energy devices, and determines that when there is a waveform abnormal moment in the period through the deviation of the power output waveform of the new energy device under different proportions of power generation and the preset power waveform, it goes to step S122; when there is no fluctuation abnormal moment, it goes to step S12;

[0060] S122: when the number of the waveform abnormal moments is greater than the preset number of abnormal moments, it is determined that the period does not belong to the reliable power quality period; when the number of the waveform abnormal moments is not greater than the preset number of abnormal moments, the process proceeds to step S123;

[0061] S123 determines a fluctuation coefficient evaluation amount according to the number of fluctuation abnormal moments and the fluctuation amounts at different fluctuation abnormal moments. When the fluctuation coefficient evaluation amount does not meet the requirements, it is determined that the period does not belong to a reliable power quality period. When the fluctuation coefficient evaluation amount meets the requirements, the process proceeds to step S124.

[0062] S124 determines the waveform anomaly coefficient of the time period by the deviation between the power output waveform of the new energy equipment and the preset power waveform under different proportions of power generation. When the fluctuation anomaly coefficient does not meet the requirements, it is determined that the time period does not belong to the power quality reliable period. When the fluctuation anomaly coefficient meets the requirements, it proceeds to step S13.

[0063] Furthermore, the regulated load amount under the regulation depth is determined according to the regulation depth and the load data at the corresponding scheduling time.

[0064] Specifically, the historical adjustment data includes the number of historical adjustments at different historical adjustment depths.

[0065] Specifically, Figure 3 As shown, the method for determining the adjustment reliable period is:

[0066] Determine the adjustment deviation at different adjustment depths based on the deviation between the adjustment load at different adjustment depths and the power generation of the new energy equipment;

[0067] Based on historical adjustment data at different adjustment depths, determine the historical adjustment times at different adjustment depths, and determine the adjustment weight coefficients of different adjustment depths according to the historical adjustment times;

[0068] The adjustment deviation coefficient of the power quality reliable period is determined by the adjustment deviation amount and the adjustment weight coefficient at different adjustment depths, and it is determined that the power quality reliable period does not belong to the adjustment reliable period according to the adjustment deviation coefficient.

[0069] Further, when the regulation deviation coefficient of the power quality reliable period is not greater than a preset deviation coefficient threshold, it is determined that the power quality reliable period belongs to the regulation reliable period.

[0070] It should also be noted that the adjustment weight coefficient is determined according to the ratio of the historical adjustment times at the adjustment depth to the preset adjustment times.

[0071] It can be understood that the adjustment deviation depth is an adjustment depth where the adjustment deviation amount is greater than the preset deviation amount.

[0072] Optionally, the method for determining the adjustment reliable period is:

[0073] Determine the adjustment deviation at different adjustment depths based on the deviation between the adjustment load at different adjustment depths and the power generation of the new energy equipment, and when it is determined based on the adjustment deviation that there is no adjustment depth where the adjustment deviation is greater than the preset deviation, determine that the power quality reliable period belongs to the adjustment reliable period;

[0074] When there is an adjustment depth whose adjustment deviation is greater than the preset deviation: the adjustment depth whose adjustment deviation is greater than the preset deviation is determined in the adjustment depth, and when the number of the adjustment deviation depths does not meet the requirement:

[0075] It is determined that the power quality reliable period does not belong to the regulation reliable period;

[0076] When the amount of deviation depth is adjusted to meet the requirement:

[0077] Based on the historical adjustment data at different adjustment deviation depths, the historical adjustment times at different adjustment deviation depths are determined. When the total number of historical adjustments at the adjustment deviation depth does not meet the requirements:

[0078] It is determined that the power quality reliable period does not belong to the regulation reliable period;

[0079] When the total number of historical adjustments under the adjustment deviation depth meets the requirements:

[0080] Determining adjustment weight coefficients of different adjustment deviation depths according to the historical adjustment times, and when there is no adjustment deviation depth whose adjustment weight coefficient is greater than the preset weight coefficient, determining that the power quality reliable period does not belong to the adjustment reliable period;

[0081] When there is an adjustment deviation depth whose adjustment weight coefficient is greater than the preset weight coefficient:

[0082] When the number of adjustment deviation depths whose adjustment weight coefficient is greater than the preset weight coefficient does not meet the requirement, it is determined that the power quality reliable period does not belong to the adjustment reliable period;

[0083] When the number of adjustment deviation depths whose adjustment weight coefficient is greater than the preset weight coefficient meets the requirement:

[0084] The adjustment deviation coefficient of the power quality reliable period is determined by the adjustment deviation amount and the adjustment weight coefficient at different adjustment deviation depths, and it is determined that the power quality reliable period does not belong to the adjustment reliable period according to the adjustment deviation coefficient.

[0085] Furthermore, determining the energy utilization form of the power generation of the new energy equipment specifically includes:

[0086] Determine the variation of the power generation of the new energy equipment in the reliable regulation period between different adjacent moments based on the fluctuation of the power generation of the new energy equipment in the reliable regulation period of the power plant;

[0087] Determine the time of power generation change by the change of power generation between different adjacent times;

[0088] The power generation variation coefficient in the reliable regulation period is determined based on the quantity proportion of the power generation variation moments, and the energy utilization form of the power generation of the new energy equipment is determined through the power generation variation coefficient.

[0089] It should also be noted that the energy utilization form of the power generation of the new energy equipment includes compensation processing of the heating load of the power plant and energy replenishment processing of the energy storage equipment of the power plant.

[0090] Furthermore, the energy utilization form of the power generation of the new energy equipment is determined by the power generation variation coefficient, specifically including:

[0091] When the power generation variation coefficient is not within the preset variation coefficient range, the power generation of the new energy equipment is used for energy replenishment processing of the energy storage equipment of the power plant;

[0092] When the power generation variation coefficient is within a preset variation coefficient range, the power generation of the new energy equipment is used to compensate for the heating load of the power plant.

[0093] Example 2

[0094] On the other hand, a computer system is provided in an embodiment of the present application, on which a computer program is stored. When the computer program is executed in a computer, the computer is caused to execute the above-mentioned method for optimizing the scheduling of a power plant taking into account multiple energy forms.

[0095] Example 3

[0096] On the other hand, a computer program product is provided in an embodiment of the present application, characterized in that the computer program product stores instructions, and when the instructions are executed by a computer, the computer implements the above-mentioned method for optimizing the scheduling of power plants considering multiple energy forms.

[0097] In the embodiments of the present invention, the term "plurality" refers to two or more than two, unless otherwise clearly defined. The terms "installation", "connection", "fixation" and the like should be understood in a broad sense. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection. For those skilled in the art, the specific meanings of the above terms in the embodiments of the present invention can be understood according to the specific circumstances.

[0098] In the description of the embodiments of the present invention, it needs to be understood that the directions or positional relationships indicated by the terms "upper" and "lower" are based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the embodiments of the present invention and simplifying the description, rather than indicating or implying that the device or unit referred to must have a specific direction, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the embodiments of the present invention.

[0099] In the description of this specification, the description of the terms "one embodiment", "a preferred embodiment", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the embodiment 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 can be combined in any one or more embodiments or examples in a suitable manner.

[0100] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for optimizing the dispatch of power plants taking into account multiple energy forms, characterized in that: Specifically include: Predict the power generation of new energy equipment in the power plant at different time periods, determine the changes in the proportion of power generation of different types of new energy equipment at different time periods, and determine the reliable power quality period in the said period based on the deviation of the power output waveform of different types of new energy equipment; Determine the deviation between the regulated load at different regulation depths and the power generation of the new energy equipment, and determine the regulation reliable time period at different power quality reliable time periods in combination with the historical regulation data at different regulation depths; When the regulation is reliable during the period, the power generation of the new energy equipment is used as a supplement to the factory power consumption, and when there is a regulation demand, the power generation of the new energy equipment is directly used for regulation response processing; When the power quality is not reliable, the power generation of the new energy equipment is used to compensate the heating load of the power plant; When it is not in the reliable regulation period but in the reliable power quality period, the energy utilization form of the power generation of the new energy equipment is determined according to the fluctuation of the power generation of the new energy equipment in the reliable power quality period of the power plant.

2. The power plant optimization scheduling method considering multiple energy forms as claimed in claim 1, characterized in that: The power generation is predicted based on weather data in different time periods, and is specifically determined by the average value of historical power generation of new energy equipment under similar weather data.

3. The power plant optimization scheduling method considering multiple energy forms as claimed in claim 1, characterized in that: The similar weather data is weather data that is within a preset deviation range from weather data of different dimensions in the time period.

4. The power plant optimization scheduling method considering multiple energy forms as claimed in claim 1, characterized in that: The new energy equipment includes photovoltaics and wind turbines.

5. The power plant optimization scheduling method considering multiple energy forms as claimed in claim 1, characterized in that: The change in the proportion of the power generation is determined according to the power generation of different types of new energy equipment at different times in the time period.

6. The power plant optimization scheduling method considering multiple energy forms as claimed in claim 1, characterized in that: The method for determining the reliable power quality period in the period is: Determine the change in the proportion of power generation of different types of new energy equipment in the time period at different times based on the change in the proportion of power generation of different types of new energy equipment in the time period, and determine the time of proportion change in the time period based on the change in the proportion at different times; Based on the deviation of the electric energy output waveform of different types of new energy equipment, determine the electric energy output waveform of the new energy equipment under different proportions of power generation, and determine the waveform abnormal moment of the time period through the deviation of the electric energy output waveform of the new energy equipment under different proportions of power generation from the preset electric energy waveform; Whether the time period is a time period with reliable power quality is determined by the proportion of the change moments and the number of abnormal waveform moments in the time period.

7. The power plant optimization scheduling method considering multiple energy forms as claimed in claim 6, characterized in that: The ratio change moment is a moment when the change amount of the ratio at an adjacent moment is not within a preset change amount range.

8. The power plant optimization scheduling method considering multiple energy forms as claimed in claim 1, characterized in that: The regulated load amount under the regulation depth is determined according to the regulation depth and the load data at the corresponding scheduling time.

9. The power plant optimization scheduling method considering multiple energy forms as claimed in claim 1, characterized in that: The method for determining the adjustment reliable period is: Determine the adjustment deviation at different adjustment depths based on the deviation between the adjustment load at different adjustment depths and the power generation of the new energy equipment; Based on historical adjustment data at different adjustment depths, determine the historical adjustment times at different adjustment depths, and determine the adjustment weight coefficients of different adjustment depths according to the historical adjustment times; The adjustment deviation coefficient of the power quality reliable period is determined by the adjustment deviation amount and the adjustment weight coefficient at different adjustment depths, and it is determined that the power quality reliable period does not belong to the adjustment reliable period according to the adjustment deviation coefficient.

10. A computer system having a computer program stored thereon, wherein when the computer program is executed in a computer, Instruct a computer to execute a method for optimizing the dispatching of a power plant taking into account multiple energy forms as described in any one of claims 1 to 9.

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