Multi-energy system regulation and control optimization method and device considering demand side flexible resources

Abstract

The invention provides a multi-energy system regulation and control optimization method and device considering demand side flexible resources. The multi-energy system comprises a first energy supply side and a second energy supply side, and the multi-energy system regulation and control optimization method comprises the steps that according to the power generation condition of the second energy supply side under a historical weather sample, the second power generation amount is predicted; wherein the sum of the first generating capacity and the second generating capacity is the total generating capacity; a power supply distribution model of a target area is established, the target area is gridded through a topological network, each grid of the target area is marked according to identity information registered by a power utilization object, and regulation and control are performed according to comparison between power consumption of areas with different priorities and power supply quantity of a multi-energy system. The technical problem solved by the embodiment of the invention is that an effective regulation and control mode is lacked between different energy power stations, so that the total electric energy supply quantity of an energy supply side is far greater than the demand quantity of an energy consumption side, and thus energy excess and energy waste are caused.

Description

Technical Field

[0001] The present invention relates to the field of energy regulation technology, and in particular to a multi-energy system regulation optimization method and device taking into account demand-side flexible resources. Background Art

[0002] With the advancement of science and technology, various energy generation methods have become more mature, and with the continuous expansion of power stations, the electricity provided by the energy supply side can fully meet the power supply needs of the energy consumption side.

[0003] However, there is at least one of the following problems in the related technology: there is a lack of effective regulation method between different energy power stations, which makes the total electricity supply on the energy supply side far greater than the demand on the energy consumption side, resulting in energy surplus and energy waste. Summary of the invention

[0004] The technical problem solved by the present invention is that there is a lack of effective regulation method between power stations with different energy sources, which makes the total power supply on the energy supply side far greater than the demand on the energy consumption side, thus leading to energy surplus and energy waste.

[0005] To solve the above problems, the present invention provides a multi-energy system control and optimization method taking into account flexible resources on the demand side, wherein the multi-energy system is used to supply power to electricity users with registered identity information in a target area; the multi-energy system comprises a first energy supply side and a second energy supply side, wherein the first energy supply side provides a first power generation; the second energy supply side provides a second power generation, and the second power generation fluctuates due to weather factors; the multi-energy system control and optimization method comprises: predicting the size of the second power generation in a first future period according to the power generation situation under historical weather samples of the second energy supply side; wherein the sum of the values ​​of the first power generation and the second power generation is the total power generation of the multi-energy system; establishing a power supply distribution model for the target area, and gridding the target area through a topological network; and The identity information registered by the electric object is used to mark each grid in the target area, wherein the marks include: priority power supply area, secondary power supply area and non-essential power supply area; a power consumption prediction model is established according to the historical power consumption data of the target area to obtain the first power consumption of the priority power supply area, the second power consumption of the secondary power supply area and the third power consumption of the non-essential power supply area in a first future period; wherein, if the multi-energy system is in a normal working state, the first power generation provided by the first energy supply side is controlled to meet the first power consumption, and it is determined whether the second power generation can meet the second power consumption and the third power consumption; if it is determined to be negative, the first energy supply side is controlled to increase the first power generation, so that the total power generation is equal to the total power consumption of the first power consumption, the second power consumption and the third power consumption.

[0006] Compared with the existing technology, the technical effect achieved by adopting this technical solution is as follows: based on the power generation of the second energy supply side under the corresponding weather in the target area in the historical period, the second power generation that the second energy supply side can provide in the future period is predicted, and based on the power consumption of the target area in the historical period, the power consumption of the target area is predicted, so as to dynamically adjust the power generation of the first energy supply side, so that the total power generation is equal to the total power consumption or slightly greater than the total power consumption, so as to avoid excess electricity and waste of electricity.

[0007] In one example of the present invention, a multi-energy system includes an emergency power reserve station, a first emergency power reserve station is provided in a priority power supply area; a second emergency power reserve station is provided in a secondary power supply area; and a third emergency power reserve station is provided in a non-essential power supply area; a multi-energy system control optimization method includes: marking the locations of the first emergency power reserve station, the second emergency power reserve station and the third emergency power reserve station on a power supply distribution model; obtaining a power adjustment interval according to the locations of the first emergency power reserve station, the second emergency power reserve station and the third emergency power reserve station, and establishing an electric energy control guidance table for the emergency power reserve station; if the multi-energy system is in an abnormal working state, the remaining available power supply resources of the first energy supply side and the second energy supply side are integrated, and the remaining available power supply resources are allocated in the order of the priority power supply area, the secondary power supply area and the non-essential power supply area, and the multi-energy system is controlled to control the electric energy of the emergency power reserve station according to the electric energy control guidance table.

[0008] Compared with the existing technology, the technical effect achieved by adopting this technical solution is as follows: if the multi-energy system is in an abnormal working state, so that the power supply cannot meet the electricity demand of the target area, the reserve power resources of the emergency power reserve station will be activated, and the reserve point energy resources will be regulated according to the power regulation guidance table.

[0009] In one example of the present invention, a multi-energy system control and optimization method taking into account flexible resources on the demand side includes: if the total power generation meets the first power consumption and the second power consumption, and the total power generation does not meet the total power consumption, then the power supply recovery time is estimated, and it is determined whether the third emergency power supply reserve station can meet the power supply shortage of non-essential power supply areas within the power supply recovery time; if it is determined to be yes, the third emergency power supply reserve station is controlled to supply power to the non-essential power supply areas throughout the entire period; if it is determined to be no, the third emergency power supply reserve station is controlled to supply power to the non-essential power supply areas in time periods according to the power application submitted by the power user, and a power outage notification is sent to the non-essential power supply area.

[0010] Compared with the existing technology, the technical effect achieved by adopting this technical solution is as follows: if the total power generation can only meet the priority power supply areas and secondary power supply areas, the third emergency power reserve station will be activated and integrated with the power resources of the remaining power stations to determine whether it can meet the power consumption of non-essential power supply areas during the power supply restoration time. If it is determined that the power consumption of non-essential power supply areas can be met, no power outage notice will be issued, and power will be supplied to non-essential power supply areas normally throughout the entire period. If it is determined that the power supply needs of non-essential power supply areas cannot be met, a power outage notice will be issued and an electricity application system will be opened. Users can apply according to purpose and time period. The power supplier will allocate limited power resources based on the submitted application to meet the power supply needs of all areas to the greatest extent possible.

[0011] In one example of the present invention, a multi-energy system control and optimization method taking into account flexible resources on the demand side includes: if the total power generation only meets the first power consumption, the power supply recovery time is estimated, and it is determined whether the second emergency power supply reserve station and the third emergency power supply reserve station can meet the power supply shortage of the secondary power supply area and the non-essential power supply area within the power supply recovery time; if it is determined to be yes, the second emergency power supply reserve station and the third emergency power supply reserve station are controlled to supply power to the secondary power supply area and the non-essential power supply area in sequence; if it is determined to be no, the second emergency power supply reserve station and the third emergency power supply reserve station are controlled to supply power to the secondary power supply area, and a power outage notification is sent to the non-essential power supply area; and it is further determined whether the second emergency power supply reserve station and the third emergency power supply reserve station can meet the power supply shortage of the secondary power supply area.

[0012] Compared with the existing technology, the technical effect achieved by adopting this technical solution is as follows: if the total power generation can only meet the first power consumption, the second emergency power reserve station and the third emergency power reserve station will be activated, and by integrating the remaining power supply resources, power supply resources will be allocated to the secondary power supply area in priority. After the power supply demand of the secondary power supply area is met, the remaining power supply resources will be allocated to the non-essential power supply area. If it is determined that the power supply demand of the non-essential power supply area cannot be met, a power outage notice will be issued and the electricity application system will be opened. Users can apply according to purpose and time period. The power supplier will allocate limited electric energy resources according to the submitted application to meet the power supply needs of all areas to the greatest extent.

[0013] In one example of the present invention, a multi-energy system control and optimization method taking into account flexible resources on the demand side includes: determining whether the second emergency power reserve station and the third emergency power reserve station meet the power supply shortage in the secondary power supply area, including: if it is determined to be yes, controlling the second emergency power reserve station and the third emergency power reserve station to supply power to the secondary power supply area at all times; if it is determined to be no, sending a power outage notice in the secondary power supply area, and supplying power in time periods according to the power application submitted by the power users in the secondary power supply area.

[0014] Compared with the existing technology, the technical effect achieved by adopting this technical solution is as follows: if it is determined that the power supply demand of the secondary power supply area cannot be met, a power outage notice will be issued and the electricity application system will be opened. Users can apply according to purpose and time period. The power supplier will allocate limited electric energy resources based on the submitted application to meet the power supply needs of all areas to the greatest extent.

[0015] In one example of the present invention, a multi-energy system control and optimization method taking into account flexible resources on the demand side includes: if the total power generation does not meet the first power consumption, the power supply recovery time is estimated, and it is determined whether the first emergency power supply reserve station, the second emergency power supply reserve station and the third emergency power supply reserve station can meet the power supply shortage of the priority power supply area, the secondary power supply area and the non-essential power supply area within the power supply recovery time; if it is determined to be yes, the first emergency power supply reserve station, the second emergency power supply reserve station and the third emergency power supply reserve station are controlled to supply power to the priority power supply area and the secondary power supply area in turn; if it is determined to be no, the first emergency power supply reserve station, the second emergency power supply reserve station and the third emergency power supply reserve station are controlled to supply power to the priority power supply area, and it is further determined whether the remaining power supply resources of the second emergency power supply reserve station and the third emergency power supply reserve station can meet the power supply shortage of the secondary power supply area.

[0016] Compared with the existing technology, the technical effect achieved by adopting this technical solution is as follows: when the power supply of the multi-energy system cannot meet the power consumption demand of the priority power supply area, the first emergency power supply reserve station, the second emergency power supply reserve station and the third emergency power supply reserve station are activated, and all power supply resources are integrated and allocated to the priority power supply area in priority to ensure that the priority power supply area can maintain operation to the greatest extent.

[0017] In one example of the present invention, a multi-energy system control and optimization method taking into account flexible resources on the demand side includes: determining whether the remaining power supply resources of the second emergency power reserve station and the third emergency power reserve station meet the power supply shortage in the secondary power supply area, including: if it is determined to be yes, controlling the second emergency power reserve station and the third emergency power reserve station to supply power to the secondary power supply area full-time, and sending a power outage notice to non-essential power supply areas; if it is determined to be no, sending a power outage notice in the secondary power supply area, and supplying power in time periods according to the power application submitted by the power users in the secondary power supply area.

[0018] Compared with the existing technology, the technical effect achieved by adopting this technical solution is as follows: when the power supply of the multi-energy system cannot meet the power consumption demand of the priority power supply area, the secondary power supply area and the non-essential power supply area will be met in turn after judging that the power supply demand of the limited power supply area is met.

[0019] The present invention provides a multi-energy system control and optimization device taking into account flexible resources on the demand side, the multi-energy system control and optimization device is applied to a multi-energy system, the multi-energy system is used to supply power to electricity users with registered identity information in a target area; the target area is provided with a plurality of emergency power reserve stations; the intelligent scheduling module comprises: a first prediction module, the first prediction module is used to predict the predicted power consumption of the target area in a future time period according to the historical power consumption of the target area in a historical period; and to predict the predicted power generation of the target area in a future time period according to the historical power generation; a second prediction module, the second prediction module is used to predict the power supply recovery time of the multi-energy system and the reserve power consumption required for the target area within the power supply recovery time when the multi-energy system is in an abnormal working state; an evaluation module, the evaluation module compares the predicted power generation and the predicted power consumption, and the sum of the predicted power generation and the stored electric energy of the emergency power reserve station with the reserve power consumption to form an electric energy control guidance table; a control execution module, the control execution module performs electric energy control according to the electric energy control guidance table.

[0020] Compared with the existing technology, the technical effects achieved by adopting this technical solution are: (1) Based on the power generation of the second energy supply side under the corresponding weather conditions in the target area during the historical period, the second power generation that the second energy supply side can provide in the future period is predicted, and based on the power consumption of the target area during the historical period, the power consumption of the target area is predicted, so as to dynamically adjust the power generation of the first energy supply side so that the total power generation is equal to the total power consumption or slightly greater than the total power consumption, so as to avoid excess power and waste of power; (2) Prioritize the target areas. When the power supply of the multi-energy system cannot meet the power consumption of the target areas, the remaining power supply resources and the power supply resources of the first emergency power reserve station, the second emergency power reserve station and the third emergency power reserve station are integrated and regulated and allocated in order of priority to ensure that the high-priority areas can use electricity normally. (3) Issue power outage notices to areas that cannot meet power supply needs, and open electricity application channels through the intelligent control system. Electricity users declare the purpose of electricity use and the time period of electricity use. The intelligent control system allocates power supply resources to different time periods based on the remaining power supply resources in the time period and the urgency of the use. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for describing the embodiments are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work. Figure 1A schematic diagram of module connections of an intelligent scheduling module provided by the present invention; Figure 2 A flow chart of a multi-energy system control optimization method when the multi-energy system is in a normal working state; Figure 3 The flowchart of the multi-energy system control optimization method is shown in FIG. 1 when the multi-energy system is in an abnormal working state.

[0022] Description of reference numerals: 100. Multi-energy system control and optimization device; 110. First prediction module; 120. Second prediction module; 130. Evaluation module; 140. Control execution module. DETAILED DESCRIPTION

[0023] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0024] The present invention provides a multi-energy system control and optimization method taking into account flexible resources on the demand side, wherein the multi-energy system is used to supply power to power users with registered identity information in a target area; the multi-energy system comprises a first energy supply side and a second energy supply side, wherein the first energy supply side provides a first power generation; the second energy supply side provides a second power generation, and the second power generation fluctuates up and down due to weather factors; the multi-energy system control and optimization method comprises: predicting the size of the second power generation in a first future period according to the power generation situation under historical weather samples of the second energy supply side; wherein the sum of the values ​​of the first power generation and the second power generation is the total power generation of the multi-energy system; establishing a power supply distribution model for the target area, and gridding the target area through a topological network; and The grids in the target area are marked with the recorded identity information, wherein the marks include: priority power supply area, secondary power supply area and non-essential power supply area; a power consumption prediction model is established according to the historical power consumption data of the target area to obtain a first power consumption of the priority power supply area, a second power consumption of the secondary power supply area and a third power consumption of the non-essential power supply area in a first future time period; wherein, if the multi-energy system is in a normal working state, the first power generation provided by the first energy supply side is controlled to meet the first power consumption, and it is determined whether the second power generation can meet the second power consumption and the third power consumption; if the judgment is no, the first energy supply side is controlled to increase the first power generation, so that the total power generation is equal to the total power consumption of the first power consumption, the second power consumption and the third power consumption.

[0025] Specifically, the first energy supply side includes: thermal power generation, hydropower generation and nuclear power generation. The first energy supply side can realize a power generation method that provides a stable power supply through artificial control. The second energy supply side includes: photovoltaic power generation and wind power generation. The second energy supply side is affected by weather conditions and has unstable power generation. Obtain the size of the wind force under various weather samples in the historical period of the target area, and obtain the corresponding wind power station power generation data according to the wind force at that time, and compare the predicted weather conditions with the historical weather sample data to more accurately predict the power generation of the wind power station. Obtain the light intensity under various weather samples in the historical period of the target area, and obtain the corresponding photovoltaic power station power generation data according to the light intensity at that time, and compare the predicted weather conditions with the historical weather sample data to more accurately predict the power generation of the photovoltaic power station. Combine the predicted power generation of the photovoltaic power station and the predicted power generation of the wind power station to obtain the prediction result of the second power generation of the second energy supply side.

[0026] Furthermore, in order to obtain the predicted power consumption of the target area, the target area is regularly collected for 7 days. The data is collected using smart meters and the data is centrally transmitted through the concentrator. The collected power consumption data is comprehensively sorted and preliminarily classified according to the power consumption to obtain different periodic feature groups. Specifically, the feature classification is performed according to the corresponding regional range of the power consumption threshold. According to the completed periodic feature classification, the different periodic classification data are respectively substituted into the prediction model and the results are extracted respectively. The basis for establishing the prediction model is: by collecting the data of the power consumption in the historical period of the region and using it as training data for model training, the prediction model is obtained, the power consumption behavior sequence and power consumption behavior characteristics are extracted, and the power consumption behavior characteristics that are most similar to the real-time power consumption data are obtained. The matched characteristics are used to predict the power demand, and the power demand forecast of a single resident is obtained. The prediction results are transmitted to the control center through the smart grid. The control center sums all the prediction results to obtain the overall power demand forecast of the region.

[0027] Furthermore, after the initial forecast is completed, the smart meter is used to collect data for the second cycle of the periodic feature group in the area, with a cycle time of 30 days. The collected second cycle data is again classified for the second cycle feature. After the feature classification is completed, it is combined with the previous cycle feature group to update the cycle feature classification. The updated cycle feature group is sequentially substituted into the prediction model, and the results are analyzed respectively to obtain the cycle prediction of regional electricity consumption. The feature classification and prediction of the electricity consumption in the area are continuously updated according to the cycle of 30 days, and the continuous update prediction of regional electricity consumption is completed to obtain more accurate power consumption prediction data.

[0028] Furthermore, according to the predicted power generation and power consumption of the target area, the electric energy can be regulated. When the multi-energy system is operating normally, the first energy supply side gives priority to supplying energy to the priority power supply area to ensure that the priority power supply area can maintain stable power supply; the second energy supply side, because its power generation method is clean energy, gives priority to supplying power to the secondary power supply area and non-essential power supply area; if the second power generation provided by the second energy supply side is greater than or equal to the sum of the second power consumption and the third power consumption, the first energy supply side only needs to provide the first power generation equal to the first power consumption; if the second energy supply side is less than the sum of the second power consumption and the third power consumption, the power generation power of the first energy supply side is increased to increase the first power generation, so that the total power generation is greater than or equal to the total power consumption.

[0029] It should be noted that the total power generation cannot be exactly equal to the total power consumption. Therefore, when calculating the total power generation, the total power generation is approximately equal to the total power consumption, and in actual circumstances it is slightly greater than the total power consumption. The remaining part of the total power generation after meeting the total power consumption is used to charge or dissipate the emergency power reserve station.

[0030] In one example of the present invention, a multi-energy system includes an emergency power reserve station, a first emergency power reserve station is provided in a priority power supply area; a second emergency power reserve station is provided in a secondary power supply area; and a third emergency power reserve station is provided in a non-essential power supply area; a multi-energy system control optimization method includes: marking the locations of the first emergency power reserve station, the second emergency power reserve station and the third emergency power reserve station on a power supply distribution model; obtaining a power adjustment interval according to the locations of the first emergency power reserve station, the second emergency power reserve station and the third emergency power reserve station, and establishing an electric energy control guidance table for the emergency power reserve station; if the multi-energy system is in an abnormal working state, the remaining available power supply resources of the first energy supply side and the second energy supply side are integrated, and the remaining available power supply resources are allocated in the order of the priority power supply area, the secondary power supply area and the non-essential power supply area, and the multi-energy system is controlled to control the electric energy of the emergency power reserve station according to the electric energy control guidance table.

[0031] Specifically, when the multi-energy system cannot provide electricity to meet the power consumption needs of the target area, the emergency power reserve station is activated to provide emergency power supply to each area of ​​the target area. The emergency power reserve stations in each area are connected to each other through wires, and can transmit electricity to each other. When long-distance power regulation and transmission across priority areas is required, the distance that the electricity needs to be transported is calculated according to the grid divided by the topological network. At the same time, the predicted supply and demand situation in the target area is compared with the power regulation guidance table to regulate the electricity.

[0032] In one example of the present invention, a multi-energy system control and optimization method taking into account flexible resources on the demand side includes: if the total power generation meets the first power consumption and the second power consumption, and the total power generation does not meet the total power consumption, then the power supply recovery time is estimated, and it is determined whether the third emergency power supply reserve station can meet the power supply shortage of non-essential power supply areas within the power supply recovery time; if it is determined to be yes, the third emergency power supply reserve station is controlled to supply power to the non-essential power supply areas throughout the entire period; if it is determined to be no, the third emergency power supply reserve station is controlled to supply power to the non-essential power supply areas in time periods according to the power application submitted by the power user, and a power outage notification is sent to the non-essential power supply area.

[0033] Specifically, if any one or more power supply devices in the multi-energy system fail, resulting in the total power generation meeting the first power consumption and the second power consumption, but not the total power consumption, the difference between the total power generation and the total power consumption, as well as the time length corresponding to the difference, are estimated through historical data and the current power grid operation status to obtain the total difference within the power supply recovery time. The reserve power in the third emergency power reserve station is compared with the total difference. If the reserve power in the third emergency power reserve station is greater than or equal to the total difference, the third emergency power reserve station is started to supply power to the non-essential power supply area. If the reserve power in the third emergency power reserve station is less than the total difference, a power outage notice is issued in the non-essential power supply area. The power users in the non-essential power supply area can apply to the power supplier for a power supply period. The power supplier makes reasonable adjustments and arrangements based on whether there are remaining power supply resources in the time period applied for by the applicant and whether the purpose of the power use is more urgent.

[0034] It should be noted that the power stations on the second energy supply side and some of the power stations on the first energy supply side that can operate normally give priority to allocating power to the priority power supply area, and after meeting the first power consumption of the priority power supply area, they will allocate power to the secondary power supply area, and finally, if there are excess power supply resources, they will be allocated to non-essential power supply areas. In addition, the maximum first power generation provided by the first energy supply side in full power generation state can meet the total power consumption of the target area.

[0035] In one example of the present invention, a multi-energy system regulation and optimization method taking into account flexible resources on the demand side includes: if the multi-energy system is in an abnormal working state, the multi-energy system is controlled to regulate the electric energy according to the electric energy regulation guidance table, including: if the total power generation only meets the first power consumption, the power supply recovery time is estimated, and it is judged whether the second emergency power supply reserve station and the third emergency power supply reserve station can meet the power supply needs of the secondary power supply area and the non-essential power supply area within the power supply recovery time; if it is judged to be yes, the second emergency power supply reserve station and the third emergency power supply reserve station are controlled to supply power to the secondary power supply area and the non-essential power supply area in sequence; if it is judged to be no, the second emergency power supply reserve station and the third emergency power supply reserve station are controlled to supply power to the secondary power supply area, and a power outage notification is sent to the non-essential power supply area; it is further judged whether the second emergency power supply reserve station and the third emergency power supply reserve station meet the power supply needs of the secondary power supply area.

[0036] Specifically, if any one or more power supply devices in the multi-energy system fail, resulting in the total power generation only meeting the first power consumption, the difference between the total power generation and the total power consumption, as well as the time length corresponding to the difference, are estimated through historical data and the current power grid operation status to obtain the total difference within the power supply recovery time. Compare the sum of the reserve power of the second emergency power reserve station and the third emergency power reserve station with the total difference. If the sum of the reserve power of the second emergency power reserve station and the third emergency power reserve station is greater than or equal to the total difference, the second emergency power reserve station and the third emergency power reserve station give priority to allocating power supply resources in the secondary power supply area, and allocate power supply resources to the non-essential power supply area after meeting the second power consumption demand of the secondary power supply area. If the sum of the reserve power of the second emergency power reserve station and the third emergency power reserve station is less than the total difference, the power supply resources of the second emergency power reserve station and the third emergency power reserve station are allocated to the secondary power supply area first, and a power outage notice is sent to the non-essential power supply area. If there are still remaining power supply resources to be allocated after meeting the second power consumption of the secondary power supply area, the remaining power supply resources are used to maintain important facilities in the non-essential power supply area.

[0037] In one example of the present invention, a multi-energy system control and optimization method taking into account flexible resources on the demand side includes: determining whether the second emergency power reserve station and the third emergency power reserve station meet the power supply demand of the secondary power supply area, including: if it is determined to be yes, controlling the second emergency power reserve station and the third emergency power reserve station to supply power to the secondary power supply area at all times; if it is determined to be no, sending a power outage notice in the secondary power supply area, and supplying power in time periods according to the power application submitted by the power users in the secondary power supply area.

[0038] Specifically, when the total power generation only meets the first power consumption, and the reserve power of the second emergency power reserve station and the third emergency power reserve station cannot meet the total difference in the secondary power supply area within the power supply restoration time, a power outage notice is sent in the secondary power supply area, and electricity users in the secondary power supply area can apply to the power supplier for a power use time period. The power supplier will make reasonable adjustments and arrangements based on whether there are surplus power supply resources within the time period applied for by the applicant and whether the purpose of the electricity use is more urgent.

[0039] In one example of the present invention, a multi-energy system regulation and optimization method taking into account flexible resources on the demand side includes: if the multi-energy system is in an abnormal working state, the multi-energy system is controlled to regulate the electric energy according to the electric energy regulation guidance table, including: if the total power generation does not meet the first power consumption, the power supply recovery time is estimated, and it is judged whether the first emergency power supply reserve station, the second emergency power supply reserve station and the third emergency power supply reserve station can meet the power supply needs of the priority power supply area, the secondary power supply area and the non-essential power supply area within the power supply recovery time; if it is judged to be yes, the first emergency power supply reserve station, the second emergency power supply reserve station and the third emergency power supply reserve station are controlled to supply power to the priority power supply area and the secondary power supply area in turn; if it is judged to be no, the first emergency power supply station, the second emergency power supply station and the third emergency power supply station are controlled to supply power to the priority power supply area, and it is further judged whether the second emergency power supply station and the third emergency power supply station meet the power supply needs of the secondary power supply area.

[0040] Specifically, when the total power generation is less than the first power consumption, emergency repairs are given priority to the first energy supply side. The difference between the total power generation and the first power consumption, as well as the power restoration time of the first energy supply side corresponding to this difference, are estimated through historical data and the current power grid operation status to obtain the total difference in the power restoration time. The first emergency power reserve station, the second emergency power reserve station, and the third emergency power reserve station are started to prioritize the allocation of power supply resources to the priority power supply areas. If there are still remaining power supply resources that have not been allocated after the power supply demand of the priority power supply area is met, the power supply resources are allocated to the secondary power supply area according to priority. If there are still remaining unallocated power supply resources after the power supply demand of the secondary power supply area is met, the remaining power supply resources are allocated to non-essential power supply areas.

[0041] In one example of the present invention, a multi-energy system control and optimization method taking into account flexible resources on the demand side includes: determining whether the second emergency power reserve station and the third emergency power reserve station meet the power supply demand of the secondary power supply area, including: if it is determined to be yes, controlling the second emergency power reserve station and the third power reserve station to supply power to the secondary power supply area at all times, and sending a power outage notice to non-essential power supply areas; if it is determined to be no, sending a power outage notice to the secondary power supply area, and supplying power in time periods according to the power application submitted by the power users in the secondary power supply area.

[0042] Specifically, if the first emergency power reserve station does not meet the total difference of the priority power supply area within the power supply recovery time on the first energy supply side, the power supply resources of the second emergency power reserve station and the third emergency power reserve station are called to supply power to the priority power supply area first. When the power supply resources of the second emergency power reserve station and the third emergency power reserve station meet the first power consumption of the priority power supply area, and there are still surplus power supply resources, the remaining power supply resources will be allocated to the secondary power supply area. If there are surplus power supply resources after meeting the second power consumption of the secondary power supply area, they will be allocated to the non-essential power supply area; if the remaining power supply resources do not meet the second power consumption of the secondary power supply area, the secondary power supply area and the non-essential power supply area will issue a power outage notice, and the power users in the secondary power supply area can apply to the power supplier for a power supply period. The power supplier will make adjustments and arrangements based on whether there are surplus power supply resources in the period applied by the applicant and whether the purpose of the power supply is more urgent.

[0043] like Figure 1 As shown, the present invention provides a multi-energy system control and optimization device 100, which is applied to a multi-energy system, and the multi-energy system is used to supply power to power users with registered identity information in a target area; the target area is provided with a plurality of emergency power reserve stations; the multi-energy system control and optimization device 100 comprises: a first prediction module 110, the first prediction module 110 is used to predict the predicted power consumption of the target area in a future time period according to the historical power consumption of the target area in the historical period; and to predict the predicted power generation of the target area in the future time period according to the historical power generation situation; a second prediction module 120, the second prediction module 120 is used to predict the power supply recovery time of the multi-energy system and the reserve power consumption required for the target area within the power supply recovery time when the multi-energy system is in an abnormal working state; an evaluation module 130, the evaluation module 130 forms an electric energy control guidance table by comparing the predicted power generation and the predicted power consumption, and the sum of the predicted power generation and the stored electric energy of the emergency power reserve station and the reserve power consumption; a control execution module 140, the control execution module 140 performs electric energy control according to the electric energy control guidance table.

[0044] Furthermore, the multi-energy system regulation and optimization device 100 can dynamically adjust the power supply plan and re-schedule in real time according to changes in external conditions, such as weather changes, changes in electricity demand, etc.; the multi-energy system regulation and optimization device 100 also includes a user interaction interface, allowing electricity users to query electricity usage information, submit electricity applications and feedback electricity usage issues; the multi-energy system regulation and optimization device 100 can interact with the external power grid to achieve complementarity and optimal allocation of power resources; the multi-energy system regulation and optimization device 100 can record and analyze scheduling logs to optimize scheduling strategies and improve scheduling efficiency.

[0045] See also Figure 2 and Figure 3 In summary, a multi-energy system control optimization method considering demand-side flexible resources includes: When the multi-energy system is in normal working condition; S101, predicting a first power consumption of a priority power supply area, a second power consumption of a secondary power supply area, and a third power consumption of a non-essential power supply area, and adding the three together to obtain a total power consumption; S102, controlling the minimum value of the first power generation amount on the first energy supply side to be equal to the first power consumption; S103, predicting the second power generation on the second energy supply side according to the power generation on the second energy supply side under the historical weather samples; S104, determining whether the second power generation is greater than or equal to the sum of the second power consumption and the third power consumption; S105: If the judgment is yes, control the first energy supply side to provide a minimum first power generation; S106. If the judgment is no, control the first energy supply side to increase the first power generation so that the total power generation of the first power generation and the second power generation is approximately equal to the total power consumption.

[0046] When the multi-energy system is in abnormal working state; S201, predicting a first power consumption of the priority power supply area, a second power consumption of the secondary power supply area, and a third power consumption of the non-essential power supply area, and adding the three together to obtain a total power consumption; S202, integrating the remaining power supply resources of the first energy supply side and the second energy supply side, and distributing them in the order of priority power supply area, secondary power supply area, and non-essential power supply area; S203, marking areas with insufficient power supply based on the comparison between total power generation and total power consumption, and activating emergency power reserve stations in the areas with insufficient power supply; S204, predicting the power supply restoration time to obtain the total difference in electric energy required by the insufficient power supply area within the power supply restoration time; S205, judging in sequence according to the priority of the regions whether the total difference of the corresponding regions is less than the power supply that can be provided by the emergency power reserve station of the corresponding regions; S206: If the answer is yes, the emergency power reserve station in the corresponding area provides power to the area, and the next priority area is determined; S207. If the judgment is negative, the electric energy of the emergency power reserve station in the area with a lower priority than the determined area is called upon.

[0047] It should be noted that the power supply resources of the first emergency power reserve station, the second emergency power reserve station and the third emergency power reserve station include immovable stored electric energy, movable stored electric energy and movable generators, and when there is a need to call any one or more of the first emergency power reserve station, the second emergency power reserve station and the third emergency power reserve station, the emergency power reserve station in the priority area shall be called first, for example, the priority power supply area shall call the first emergency power reserve station first, the secondary power supply area shall call the second emergency power reserve station first, and the non-essential power supply area shall call the third emergency power reserve station first. When the emergency power reserve station in this area cannot support the power consumption of this area, the power supply resources of the nearest emergency power reserve station in other areas shall be called first. When the multi-energy power supply system is in an abnormal working state, the remaining power supply equipment on the first energy supply side and the remaining power supply equipment on the second energy supply side are generating electricity at maximum power. The maximum power generation on the second energy supply side is slightly greater than the sum of the historical maximum power consumption of the second power consumption and the third power consumption, and the maximum power generation on the first energy supply side is slightly greater than the total power consumption of the historical maximum.

[0048] It should also be noted that the first power generation, the second power generation, the total power generation, the first power consumption, the second power consumption, the third power consumption, the total power consumption, and the power supply recovery time mentioned in the present invention are all obtained through prediction. The total difference refers to the difference between the total power generation and the total power consumption estimated by historical data and the current power grid operation status, as well as the time length corresponding to the difference. The total number of differences within the time length is the total difference.

[0049] Although the present invention is disclosed as above, the present invention is not limited thereto. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the scope defined by the claims.

Claims

1. A multi-energy system control optimization method taking into account demand-side flexible resources, characterized in that: The multi-energy system is used to supply power to electricity users with registered identity information in the target area; the multi-energy system includes a first energy supply side and a second energy supply side, wherein the first energy supply side provides a first power generation; the second energy supply side provides a second power generation, and the second power generation fluctuates up and down due to weather factors; the multi-energy system control optimization method includes: According to the power generation situation under the historical weather samples of the second energy supply side, the magnitude of the second power generation in the first future period is predicted; wherein the sum of the values ​​of the first power generation and the second power generation is the total power generation of the multi-energy system; Establishing a power supply distribution model for the target area, and gridding the target area through a topological network; Marking each grid in the target area according to the identity information registered by the electricity user, wherein the marking includes: a priority power supply area, a secondary power supply area, and a non-essential power supply area; Establishing a power consumption prediction model according to the historical power consumption data of the target area to obtain a first power consumption of the priority power supply area, a second power consumption of the secondary power supply area, and a third power consumption of the non-essential power supply area in the first future period; Wherein, if the multi-energy system is in a normal working state, the first power generation provided by the first energy supply side is controlled to meet the first power consumption, and it is determined whether the second power generation can meet the second power consumption and the third power consumption; If the judgment is no, the first energy supply side is controlled to increase the first power generation so that the total power generation is equal to the total power consumption of the first power consumption, the second power consumption and the third power consumption.

2. The multi-energy system control optimization method taking into account demand-side flexible resources according to claim 1 is characterized in that: The multi-energy system includes an emergency power reserve station, the priority power supply area is provided with a first emergency power reserve station; the secondary power supply area is provided with a second emergency power reserve station; the non-essential power supply area is provided with a third emergency power reserve station; The multi-energy system control optimization method also includes: Marking the locations of the first emergency power reserve station, the second emergency power reserve station and the third emergency power reserve station on the power supply distribution model respectively; Obtaining the power adjustment interval according to the locations of the first emergency power reserve station, the second emergency power reserve station and the third emergency power reserve station, and establishing a power regulation guidance table for the emergency power reserve station; If the multi-energy system is in an abnormal working state, the remaining available power supply resources of the first energy supply side and the second energy supply side are integrated, and the remaining available power supply resources are allocated in the order of the priority power supply area, the secondary power supply area and the non-essential power supply area, and the multi-energy system is controlled to regulate the electric energy of the emergency power reserve station according to the electric energy regulation guidance table.

3. The multi-energy system control and optimization method taking into account demand-side flexible resources according to claim 2 is characterized in that: The controlling the multi-energy system to regulate the electric energy of the emergency power reserve station according to the electric energy regulation and control guidance table includes: If the total power generation meets the first power consumption and the second power consumption, and the total power generation does not meet the total power consumption, the power supply recovery time is estimated, and it is determined whether the third emergency power reserve station can meet the power supply shortage of the non-essential power supply area within the power supply recovery time; If the judgment is yes, the third emergency power reserve station is controlled to supply power to the non-essential power supply area at all times; If the judgment is no, the third emergency power reserve station is controlled to supply power to the non-essential power supply area in time periods according to the power application submitted by the power user, and a power outage notice is sent to the non-essential power supply area.

4. The multi-energy system control and optimization method taking into account demand-side flexible resources according to claim 2 is characterized in that: The controlling the multi-energy system to regulate the electric energy of the emergency power reserve station according to the electric energy regulation and control guidance table includes: If the total power generation only meets the first power consumption, the power supply recovery time is estimated, and it is determined whether the second emergency power reserve station and the third emergency power reserve station can meet the power supply shortage of the secondary power supply area and the non-essential power supply area within the power supply recovery time; If the judgment is yes, then control the second emergency power reserve station and the third emergency power reserve station to supply power to the secondary power supply area and the non-essential power supply area in sequence; If the judgment is no, the second emergency power supply reserve station and the third emergency power supply reserve station are controlled to supply power to the secondary power supply area, and the non-essential power supply area issues a power outage notice; determine whether the second emergency power supply reserve station and the third emergency power supply reserve station can meet the power supply shortage in the secondary power supply area.

5. The multi-energy system control optimization method taking into account demand-side flexible resources according to claim 4 is characterized in that: The determining whether the second emergency power reserve station and the third emergency power reserve station meet the power supply shortage of the secondary power supply area includes: If the judgment is yes, control the second emergency power reserve station and the third emergency power reserve station to supply power to the secondary power supply area at all times; If the judgment is no, the secondary power supply area issues the power outage notice and provides power supply in time periods according to the power application submitted by the power users in the secondary power supply area.

6. The multi-energy system control optimization method taking into account demand-side flexible resources according to claim 2 is characterized in that: The controlling the multi-energy system to regulate the electric energy of the emergency power reserve station according to the electric energy regulation and control guidance table includes: If the total power generation does not meet the first power consumption, the power supply recovery time is estimated, and it is determined whether the first emergency power reserve station, the second emergency power reserve station and the third emergency power reserve station can meet the power supply shortage of the priority power supply area, the secondary power supply area and the non-essential power supply area within the power supply recovery time; If the judgment is yes, then control the first emergency power reserve station, the second emergency power reserve station and the third emergency power reserve station to supply power to the priority power supply area and the secondary power supply area in sequence respectively; If the judgment is no, the first emergency power supply reserve station, the second emergency power supply reserve station and the third emergency power supply reserve station are controlled to supply power to the priority power supply area, and it is determined whether the remaining power supply resources of the second emergency power supply reserve station and the third emergency power supply reserve station can meet the power supply shortage in the secondary power supply area.

7. The multi-energy system control optimization method taking into account demand-side flexible resources according to claim 6 is characterized in that: The determining whether the remaining power supply resources of the second emergency power reserve station and the third emergency power reserve station meet the power supply shortage of the secondary power supply area includes: If the judgment is yes, the second emergency power reserve station and the third emergency power reserve station are controlled to supply power to the secondary power supply area at all times, and a power outage notice is issued to the non-essential power supply area; If the judgment is no, the secondary power supply area issues the power outage notice and provides power supply in time periods according to the power application submitted by the power users in the secondary power supply area.

8. A multi-energy system control and optimization device taking into account flexible resources on the demand side, characterized in that: The multi-energy system is used to supply power to electricity users with registered identity information in the target area; The target area is equipped with multiple emergency power reserve stations; The multi-energy system control and optimization device comprises: A first prediction module, the first prediction module is used to predict the predicted power consumption of the target area in the future period according to the historical power consumption of the target area in the historical period, and to predict the predicted power generation of the target area in the future period according to the historical power generation; A second prediction module, the second prediction module is used to predict the power supply recovery time of the multi-energy system and the reserve power consumption required by the target area within the power supply recovery time when the multi-energy system is in an abnormal working state; An evaluation module, wherein the evaluation module forms an electric energy regulation and control guidance table by comparing the predicted power generation and the predicted power consumption, and comparing the sum of the predicted power generation and the stored electric energy of the emergency power reserve station with the prepared power consumption; A control execution module performs electric energy regulation according to the electric energy regulation guidance table.

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