A multi-domain new energy interconnected power system

Abstract

The present invention relates to the technical field of electric power systems, and in particular to a multi-domain new energy interconnected electric power system, wherein the electric power system comprises: a power grid system, a new energy power generation module, a traditional power generation module, an acquisition module, a dispatching module, a proofreading module and a control module, wherein the power grid system is used for the overall networking of the power system, and the substations and transmission and distribution lines of various voltages are used as a whole, and the dispatching module is used for the interconnection planning of new energy power and traditional power in the power grid system. The multi-domain new energy interconnected electric power system can perform load analysis on various real-time data of the multi-domain new energy interconnected electric power system by setting a dispatching module, and establish an operation model of the electric power system, and the load of the multi-domain new energy interconnected electric power system can be calculated according to the model, and timely adjusted to achieve that the required growth rate of new energy in the multi-domain new energy interconnected electric power system is consistent with the load of the power grid system, thereby reducing the load of the electric power system.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a multi-domain new energy interconnected power system. Background Art

[0002] The power system is a unified system consisting of power generation, power supply, power consumption facilities, and secondary facilities such as regulation and control, relay protection, safety automatic devices, metering devices, dispatching automation, power communication, etc. required to ensure their normal operation. Its function is to convert natural energy into electrical energy through power generation devices, and then supply electrical energy to various users through transmission, transformation and distribution. The power generation energy used is mainly divided into traditional energy and new energy;

[0003] Traditional energy is also called conventional energy. Traditional energy refers to energy that has been mass-produced and widely used, including coal, oil, natural gas and other one-time non-renewable conventional energy, while hydropower belongs to renewable energy. Coal, oil and natural gas have been formed in the earth's crust for millions of years and cannot be regenerated in the short term, so people have a sense of crisis about this. New energy is also called unconventional energy, which refers to various forms of energy other than traditional energy, and refers to energy that has just begun to be developed and utilized or is being actively studied and is yet to be promoted, such as solar energy, geothermal energy, wind energy, ocean energy, biomass energy and nuclear fusion energy, most of which are renewable energy and have less pollution than traditional energy.

[0004] In the current power system, electricity is mainly generated by traditional energy. However, the use of new energy has certain limitations. For example, the main wind power generation area needs to have a certain altitude and stable air flow all year round, and the electricity generated by these new energy sources is mainly used locally. However, with the increasing demand for electricity, the load on the power system increases year by year. In order to alleviate the current consumption of traditional energy, when the power generation cannot meet the electricity demand of users, multi-domain new energy interconnection is becoming more and more important. By incorporating the electricity generated by new energy into the traditional power generation network, as an interconnection technology to supplement the power system, it can reduce the load on the current power system and improve the stability of power consumption in the power system.

[0005] However, the current multi-domain new energy interconnected power system has a certain lag. When the local traditional energy transmission in a certain area is insufficient, the energy storage of new energy power generation is transmitted to the local area as a supplement to achieve energy replenishment. However, this transmission and supplement method has a certain delay, which can easily cause the power system load to be unable to be resolved in the first time, resulting in a decrease in the balance of electricity consumption in different regions, making the use of the entire multi-domain new energy interconnected power system not flexible enough. Summary of the invention

[0006] The purpose of the present invention is to provide a multi-domain new energy interconnected power system to solve the problems raised in the above background technology.

[0007] To achieve the above-mentioned object, the present invention provides the following technical solutions: A multi-domain new energy interconnected power system, the power system comprising a power grid system;

[0008] The power grid system also includes: a new energy power generation module, a traditional power generation module, an acquisition module, a scheduling module, a proofreading module and a control module;

[0009] The power grid system is used for the overall networking of the power system, and integrates substations and transmission and distribution lines of various voltages, and realizes the interconnection of multi-domain new energy;

[0010] The new energy power generation module develops renewable resources based on new technologies and utilizes new clean energy to meet power generation needs;

[0011] The traditional power generation module is the main power generation method at present, which mainly uses non-renewable resources and is polluting;

[0012] The acquisition module is used to monitor the real-time operation of the power grid system and identify various parameters during the operation of the new energy power generation module and the traditional energy module;

[0013] The dispatching module is used for interconnection planning of new energy power and traditional power in the power grid system, and simulates the operation status of the entire power system to predict and plan the future operation of the power system;

[0014] The checking module is used to check the plan of the power system forecast plan generated by the dispatching module and to make optimization judgments for the forecast plan;

[0015] The control module is used for the power grid system in the power system to control the new energy power generation module and the traditional power generation module.

[0016] In a further embodiment, the scheduling module includes a large database and a data calibration module;

[0017] The large database is a node-based centralized database in the power grid system, which is used to store various operating parameters of the power system and periodic power consumption data.

[0018] In a further embodiment, the large database further comprises a multi-domain database;

[0019] The multi-domain database is an independent database in each location, which is used to store and transmit the past and recent power data of each power site in the power grid system. The multi-domain database is connected with the big database;

[0020] The data calibration module is used for data calibration review when the multi-domain database is transmitted to the big database, and the proofread data is transmitted to the scheduling module for analysis and processing, so as to facilitate the accuracy and integrity of data recognition.

[0021] In a further embodiment, the scheduling module further includes an import module, a detection unit, and a model building module;

[0022] The import module is used to import external data into the scheduling module and integrate the data to generate a basic model, so as to facilitate the import of various data into the scheduling module;

[0023] The detection unit is used to monitor the operation process of the scheduling module and provide stable operation detection for the scheduling module to ensure the stability of the use of the scheduling module;

[0024] The model building module is used for the scheduling module to visualize and digitally generate the power grid model of the power system by importing the data imported by the import module, construct the load model of the power system, predict the operating status of the power system, and formulate the scheduling plan of the power system in advance, realize early deployment and control, and prevent the load control of the power system from lagging.

[0025] In a further embodiment, the model building module further includes a model evolution unit, a generation module and a judgment module;

[0026] The model evolution unit is used to learn and simulate the power model established by the model building module, and optimize the power model by deep learning. After deep learning, the power model is decomposed into corresponding power system data, and this data can be used to predict the future power system and formulate an interconnection plan;

[0027] The generation module is used to establish and generate the deep learning power system interconnection adjustment plan, and generate a data form that is easy to view, so as to facilitate the operation and viewing of the staff;

[0028] The judgment module is used to check and judge the power system prediction simulation data generated by the generation module, and mark unreasonable prediction content for use in subsequent power system multi-domain new energy interconnection, to prevent power system control errors and ensure the stability of power system control.

[0029] In a further embodiment, the proofreading module further comprises a confirmation module;

[0030] The confirmation module is used to confirm the model scheme data calibrated by the proofreading module after calibration, and archive the confirmed accurate model analysis data to ensure the accuracy and efficiency of the prediction scheme.

[0031] In a further embodiment, the acquisition module further includes a distance module, a load module and a compensation module;

[0032] The distance module is used in the power system to determine the physical distance between the multi-domain new energy power generation modules and the corresponding traditional power generation modules and the power grid system, and to determine the interconnection distance of the power grid system. After the determination, the acquired real-time data is sent to the scheduling module, so as to facilitate the determination and optimization of the control distance.

[0033] The load module is used to monitor the main power load parameters in the power grid system in real time, and transmit the load parameters to the dispatching module in real time, so as to facilitate the load monitoring of the power system;

[0034] The compensation module is used to compensate the amount of electricity required between the new energy power generation module and the traditional power generation module during the monitoring process of the power grid system.

[0035] In a further embodiment, the compensation calculation formula of the compensation module is as follows:

[0036] Qc=P×sinφ

[0037] Among them, Qc is the reactive power compensation value, P is the average power, sin is the sine value, and φ is the power factor angle. By calculating the compensation electric energy, the stability of power regulation is optimized.

[0038] In a further embodiment, the compensation module further includes a weight calculation module;

[0039] The weight calculation module calculates the demand for multi-domain new energy electricity when it is distributed to different grid interconnection locations based on the real-time monitored grid system, and plans and divides the electricity consumption weights of the interconnected regions in the grid system in real time based on the compensation difference generated by the calculation.

[0040] In a further embodiment, the weight calculation formula of the electrical weight calculation module is as follows:

[0041]

[0042] Among them, C is the power consumption value of multiple domain locations, α is the energy consumption per hour locally, β is the power input from outside the region, and ω is the local power supply per hour, which is convenient for confirming the priority of regional regulation.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] 1. The present invention, by setting a scheduling module, can perform load analysis on various real-time data of the multi-domain new energy interconnected power system, and establish an operation model of the power system. According to the model, the load situation of the multi-domain new energy power system can be calculated, and timely adjustments can be made to achieve that the required growth rate of new energy in the multi-domain new energy interconnected power system is consistent with the load of the power grid system, thereby better reducing the load of the power system;

[0045] 2. The present invention can monitor the load of the power system in real time through the acquisition module, calculate the regional power generation and consumption error in time according to its load condition, and then use the power system model to calculate the required amount of electricity, so as to achieve effective control of the load of the power system and realize safe and stable operation of the power grid;

[0046] 3. The present invention constructs a multi-domain usage model of the power system, and according to the power response of the power load in the multi-domain power system, determines whether to formulate relevant power consumption planning plans in advance in the multi-domain new energy interconnected power system, predicts the power load situation of the power system, and reasonably plans the subsequent new energy interconnection response plan, so that the power system can carry out the plan operation in advance, reduce the pressure load of the power system, and improve the stable operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 is a system schematic diagram of the power system of the present invention;

[0048] Figure 2 It is a system schematic diagram of the scheduling module of the present invention;

[0049] Figure 3 It is a system schematic diagram of the acquisition module of the present invention. DETAILED DESCRIPTION

[0050] The following will be described clearly and completely in conjunction with the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] Embodiment 1

[0052] See also Figure 1-3 , This embodiment provides a multi-domain new energy interconnected power system, the power system includes a power grid system;

[0053] The power grid system also includes: new energy power generation module, traditional power generation module, acquisition module, dispatching module, proofreading module and control module;

[0054] The power grid system is used for the overall networking of the power system, and integrates substations and transmission and distribution lines of various voltages, and realizes the interconnection of multi-domain new energy;

[0055] New energy power generation module, through the development of renewable resources based on new technologies, and the use of new clean energy to meet power generation needs, such as solar energy, geothermal energy, wind energy, ocean energy, biomass energy and nuclear fusion energy, mainly clean and renewable energy, is the future direction of energy development;

[0056] Traditional power generation module is the main power generation method at present, and it is mainly non-renewable resources. Traditional power generation is polluting, including coal, oil, natural gas and other one-time non-renewable conventional energy, and hydropower is renewable energy, which is the most widely used power generation method at present;

[0057] The acquisition module is used to monitor the real-time operation of the power grid system, identify various parameters during the operation of the new energy power generation module and the traditional energy module, and interconnect and acquire various parameters of the power system;

[0058] The dispatching module is used to plan the interconnection between new energy power and traditional power in the power grid system, simulate the operating status of the entire power system, and make predictions and plans for the future operation of the power system. By building a power system model and deep model learning, it can predict the operating status of the power system and formulate the power system operation plan in advance in a timely manner to prevent the lag of load control and ensure the stability of the power system.

[0059] The proofreading module is used to proofread the power system forecast plan generated by the dispatching module, and to optimize the forecast plan, to check the feasibility of the generated forecast plan, and to further optimize the dispatch of the power system interconnection energy supply plan, so as to improve the stability and efficiency of the power system dispatch;

[0060] The control module is used for the power grid system in the power system to control the new energy power generation module and the traditional power generation module, and implements the control center of power mobilization. By implementing the prediction and planning scheme in an orderly manner, the stable use of the power system is ensured.

[0061] The proofreading module also includes a confirmation module;

[0062] The confirmation module is used to confirm the calibration of the model scheme data calibrated by the proofreading module, and archive the confirmed accurate model analysis data. It confirms the power system dispatching scheme simulated and predicted by the dispatching module and sends it to the multi-domain new energy power systems at all levels, and then manually verifies and confirms it to ensure whether the multi-domain new energy interconnected power system sites have the ability to assist the power system, and further formulate the corresponding new energy power system energy supply plan to prevent the problem of insufficient energy supply in the interconnected power system and ensure the stable use of the power system.

[0063] Embodiment 2

[0064] See also Figure 1-2 , further improvements were made on the basis of Example 1:

[0065] The scheduling module includes a large database and a data calibration module;

[0066] The big database is a node-based centralized database in the power grid system, which is used to store various operating parameters of the power system and periodic electricity consumption data. It summarizes the load and usage data of the power system in various regions and then imports them into the scheduling module. It uses past experience data and current real-time data to generate a model, and then compares the models to determine the overlapping and different parts of the models. Using deep learning simulation, the scheduling module can make the simulation and prediction of the power system more accurate.

[0067] Large databases also include multi-domain databases;

[0068] The multi-domain database is an independent database in each region, which is used to store and transmit the past and recent power data of each power station in the power grid system. The multi-domain database is connected with the big database and serves as the storage center for the past power load data of each region in the power system.

[0069] The data calibration module is used for calibration and review of data transmitted from multi-domain databases to large databases, and transmits the proofread data to the dispatching module for analysis and processing. It is used to calibrate and review some power system data of the same period stored and transmitted from various places to ensure the accuracy and completeness of the data.

[0070] The scheduling module also includes an import module, a detection unit, and a model building module;

[0071] The import module is used to import external data into the dispatch module, integrate the data to generate a basic model, import the real-time detected power system voltage, current, power and other data into the dispatch module, and then use the above data to generate a prediction model;

[0072] The detection unit is used to monitor the operation process of the dispatching module and provide stable operation detection for the dispatching module. It can monitor the dispatching module to ensure the stable operation of the dispatching module and prevent abnormal situations in the dispatching module. The power grid system is connected to an alarm system, and the detection unit is connected to the alarm system in the power grid system. When an abnormal situation occurs in the dispatching module, the detection unit notifies the staff of the abnormal situation in real time through the alarm system, and the staff can perform maintenance in time to ensure the stable use of the dispatching module of the power system;

[0073] The model building module is used for the dispatching module to visualize and digitize the data imported by the import module to generate a power grid model of the power system, simulate the regional monitoring parameters of the power system to generate a prediction model for operation, and predict the operating load of the power system in the next period of time through the model. It can predict the power load of the power system in advance, reduce the lag of multi-domain new energy interconnection of the power system, and carry out power regulation in advance, which effectively improves the stability of the power system.

[0074] The model building module also includes a model evolution unit, a generation module and a judgment module;

[0075] The model evolution unit is used to learn and simulate the power model established by the model building module, and optimize the power model using deep learning. After deep learning, the power model is decomposed into corresponding power system data. This data can be used to predict and formulate interconnection plans for future power systems. The power system model uses high-speed automated deep learning to improve the accuracy of the model for prediction and planning, and ensure the stable use of multi-domain new energy interconnected power systems;

[0076] The generation module is used to establish and generate the interconnection adjustment plan of the power system based on deep learning, and generate data in a form that is easy to view. By generating the model into a visual digital plan, it can better provide a viewing method for the staff and improve the convenience of power system operation and regulation;

[0077] The judgment module is used to check and judge the power system prediction simulation data generated by the generation module, and mark the unreasonable prediction content for use in the subsequent multi-domain new energy interconnection of the power system. It identifies and marks the abnormal parameters in the model to prevent model errors and affect the normal operation of the subsequent power system.

[0078] Embodiment 3

[0079] See also Figure 1 and Figure 3 , further improvements were made on the basis of Example 1:

[0080] The acquisition module also includes a distance module, a load module and a compensation module;

[0081] The distance module is used to calculate the physical distance between the multi-domain new energy power generation modules and the corresponding traditional power generation modules and the power grid system in the power system, and to judge the interconnection distance of the power grid system. After the judgment, the acquired real-time data is sent to the dispatching module to calculate the regional distance between the new energy power generation modules and the traditional power generation modules, so as to better implement the transmission of power interconnection and reasonably regulate the interconnection energy supply sequence of the power system according to the difference in distance;

[0082] The load module is used to monitor the main power load parameters in the power grid system in real time, and transmit the load parameters to the dispatching module in real time, so as to obtain the transmission load of the power system in real time, ensure that the operation status of the power system can be obtained in time, and prevent the load of the power system from being too large, which will affect the stable operation of the entire power system;

[0083] The compensation module is used to monitor the amount of electricity required to be compensated between the new energy power generation module and the traditional power generation module during the power grid system monitoring process, and adopts reactive power compensation to reduce power loss in the process of compensating electricity and improve the efficient use of power supply in the power system.

[0084] The compensation calculation formula of the compensation module is as follows:

[0085] Qc=P×sinφ

[0086] Among them, Qc is the reactive power compensation value, P is the average power, sin is the sine value, φ is the power factor angle, the average power P represents the total power in the circuit, and the power factor angle φ represents the phase difference in the circuit. Its size depends on the relative position and size of the capacitor and inductor components in the circuit. In power engineering, the power factor angle Usually referred to as the phase angle of the circuit, it has a great influence on the relationship between the voltage and current in the circuit. When calculating reactive power compensation, the following points should be noted. First, the average power P and power factor angle in the circuit should be determined. The size of the reactive power compensation value Qc needs to be calculated according to the requirements of reactive power compensation. Finally, it is necessary to select appropriate reactive power compensation equipment and install it in the circuit to provide the required reactive power compensation capacity. Reactive power compensation can improve the power factor in the circuit, reduce the loss in the power supply network, and improve the power supply quality, so that the multi-domain new energy interconnected power system can better integrate the electric energy generated by the new energy power generation module into the power system, and supplement the power supply of the traditional power generation module, thereby improving the stability of the entire power system. The use of reactive power compensation can effectively improve the integrity of energy replenishment.

[0087] The compensation module also includes a weight calculation module;

[0088] The weight calculation module calculates the demand for multi-domain renewable energy electricity when it is distributed to different grid interconnection locations based on the real-time detected grid system, and plans and divides the electricity consumption weights of the interconnected areas in the grid system in real time based on the compensation difference generated by the calculation.

[0089] The weight calculation formula of the weight calculation module is as follows:

[0090]

[0091] Among them, C is the power consumption value of multi-domain locations, α is the local energy consumption per hour, β is the power input from outside the region, and ω is the local power supply per hour. By calculating the different power load conditions in various regions of the multi-domain, the load conditions of areas with large loads and areas with small loads are sorted. After the sorting is completed, the load conditions in different areas of the power system can be obtained, and then the interconnected power system can be better adjusted to improve the stability of the power system.

[0092] Specifically, the multi-domain new energy interconnected power system uses traditional energy generation and new energy generation. Traditional energy generation is the main power generation and supply channel of the power system. The power system uses this part of traditional power generation for power supply. During daily operation, the power system monitors and records the data of the multi-domain power system through the acquisition module, and imports the data of these power systems into the dispatching module. When the data is imported into the dispatching module, the dispatching module synchronously retrieves the data of the same period in the database, and then establishes the load degree model of the power system based on the past data and real-time data. Then, deep learning is used to simulate the power system model to obtain the regional load conditions of the power system within a certain period of time in the future, and the obtained model data is used to generate intuitive power system load dispatching data. After the generated plan is proofread and confirmed, the multi-domain new energy interconnected power system performs advance power system regulation based on this predicted data, and while regulating in advance, it continues to perform simulation operations to obtain further prediction plans, and uses the overlap and difference of data to optimize the operation of the power system and improve the operation stability of the multi-domain new energy interconnected power system.

[0093] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A multi-domain new energy interconnected power system, characterized in that: The power system includes the grid system; The power grid system also includes: a new energy power generation module, a traditional power generation module, an acquisition module, a scheduling module, a proofreading module and a control module; The power grid system is used for the overall networking of the power system, and integrates substations and transmission and distribution lines of various voltages, and realizes the interconnection of multi-domain new energy; The new energy power generation module develops renewable resources based on new technologies and utilizes new clean energy to meet power generation needs; The traditional power generation module is the main power generation method at present, which mainly uses non-renewable resources and is polluting; The acquisition module is used to monitor the real-time operation of the power grid system and identify various parameters during the operation of the new energy power generation module and the traditional energy module; The dispatching module is used for interconnection planning of new energy power and traditional power in the power grid system, and simulates the operation status of the entire power system to predict and plan the future operation of the power system; The checking module is used to check the plan of the power system forecast plan generated by the dispatching module and to make optimization judgments for the forecast plan; The control module is used for the power grid system in the power system to control the new energy power generation module and the traditional power generation module; The scheduling module also includes an import module, a detection unit and a model building module; The import module is used to import external data into the scheduling module and integrate the data into the production basic model; The detection unit is used to monitor the operation process of the scheduling module and provide stable operation detection for the scheduling module; The model building module is used for the scheduling module to visualize and digitally generate a power grid model of the power system by using the data imported by the import module; The model building module also includes a model evolution unit, a generation module and a judgment module; The model evolution unit is used to learn and simulate the power model established by the model building module, and optimize the power model by deep learning. After deep learning, the power model is decomposed into corresponding power system data, and this data can be used to predict the future power system and formulate an interconnection plan; The generation module is used to establish and generate a deep learning power system interconnection adjustment plan and generate a data format that is easy to view; The judgment module is used to check and judge the power system prediction simulation data generated by the generation module, and mark unreasonable prediction content for subsequent use in the multi-domain new energy interconnection of the power system; The acquisition module also includes a distance module, a load module and a compensation module; The distance module is used in the power system to determine the physical distance between the multi-domain new energy power generation modules and the corresponding traditional power generation modules and the power grid system, and to determine the interconnection distance of the power grid system, and then send the acquired real-time data to the scheduling module after the determination; The load module is used to monitor the main power load parameters in the power grid system in real time and transmit the load parameters to the dispatching module in real time; The compensation module is used to compensate the amount of electricity required between the new energy power generation module and the traditional power generation module during the monitoring process of the power grid system; The compensation calculation formula of the compensation module is as follows: Among them, Qc is the reactive power compensation value, P is the average power, sin is the sine value, is the power factor angle.

2. A multi-domain new energy interconnected power system according to claim 1, characterized in that: The scheduling module includes a large database and a data calibration module; The large database is a node-based centralized database in the power grid system, which is used to store various operating parameters of the power system and periodic power consumption data.

3. A multi-domain new energy interconnected power system according to claim 2, characterized in that: The large database also includes a multi-domain database; The multi-domain database is an independent database in each location, which is used to store and transmit the past and recent power data of each power site in the power grid system. The multi-domain database is connected with the big database; The data calibration module is used for data calibration review when the multi-domain database is transmitted to the big database, and transmits the proofread data to the scheduling module for analysis and processing.

4. The multi-domain new energy interconnected power system according to claim 1 is characterized in that: The proofreading module also includes a confirmation module; The confirmation module is used to confirm the model scheme data calibrated by the proofreading module after calibration, and archive the model analysis data that is confirmed to be accurate.

5. The multi-domain new energy interconnected power system according to claim 1 is characterized in that: The compensation module also includes a weight calculation module; The weight calculation module calculates the demand for multi-domain new energy electricity when it is distributed to different grid interconnection locations based on the real-time monitored grid system, and plans and divides the electricity consumption weights of the interconnected regions in the grid system in real time based on the compensation difference generated by the calculation.

6. A multi-domain new energy interconnected power system according to claim 5, characterized in that: The weight calculation formula of the weight calculation module is as follows: Among them, C is the power consumption value of multiple domain locations, α is the energy consumption per hour in the local area, β is the power input from outside the region, and ω is the local power supply per hour.

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