Industrial park power planning method and system based on novel load

Abstract

The invention belongs to the technical field of power planning, and provides an industrial park power planning method and system based on a novel load. Comprising the following steps: firstly, counting resources such as power consumers, electric vehicles, distributed power supplies, stored energy and power grid equipment in a land parcel; secondly, predicting the output of the source end and the energy consumption of the load side in the plot, and generating a novel load curve; thirdly, energy potential data in the land parcels are formed, and land parcels and regional supply and demand balance are researched and judged; and finally, carrying out visual display on related data, and assisting in power planning decision making. According to the invention, real-time tracking of environment and demand changes can be realized, rapid and visual load prediction and planning are supported, power grid investment and operation are guided, and accurate response is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of power planning, and in particular to a method and system for power planning of an industrial park based on a new type of load. Background Art

[0002] Distribution network planning is based on load forecasting and uses scientific methods to determine the construction of power facilities in the planned area, so that the future power grid can meet the needs of regional load growth while obeying the constraints of substation capacity and other requirements. The construction of large-scale distributed power sources and energy storage systems under the new power system has caused changes in user loads, affecting the accuracy of load forecasts. At the same time, potential reverse currents have also put forward higher requirements for the planning of distribution network reliability. The charging load of electric vehicles is random. As the number of electric vehicles increases, the overall load of the power grid will change, which has caused certain difficulties in load forecasting, thereby affecting the accuracy of planning such as distribution network substations. In general, distribution network planning includes three aspects: comprehensive resource management, new load forecasting, and supply and demand balance analysis.

[0003] Integrated resource management can help power planners better understand the purpose and environmental characteristics of the land, making the potential use and limitations of the land clearer and improving energy utilization. However, the current process of adding property labels to the land and marking whether there are photovoltaic, energy storage, and charging piles requires a lot of data collection and updating, which may require a lot of time, manpower, and financial costs. To this end, we combine the digital perception system platform to add labels such as photovoltaic, energy storage, and charging piles, which helps to make load forecasts more accurate, eliminate their impact on load forecasts, and make the forecast curve more realistic.

[0004] New load forecasting can help effectively plan and optimize resource allocation. By accurately predicting load demand, power supply and demand-side management strategies can be reasonably planned to meet future demand and improve supply reliability and efficiency. Traditional load forecasting includes two methods: probability model and artificial intelligence algorithm, but both have certain limitations. Probabilistic models cannot handle nonlinear characteristics well. Although artificial intelligence algorithms can handle nonlinear characteristics, they require a large amount of historical data, and the resulting load curve loses physical meaning. To this end, we combine the digital perception system platform for load forecasting to improve the accuracy of the forecast, avoid planning errors and respond to emergencies in a timely manner. This helps to maximize resource utilization efficiency, reduce costs and improve reliability.

[0005] Supply and demand balance analysis Fitting the new load forecast curve with the maximum power output curve can allow power planners to better understand and analyze the use of distribution network equipment. By understanding the changes in future load demand, the capacity and investment needs of the equipment can be accurately determined, thereby optimizing the operation and configuration of distribution equipment and improving resource utilization efficiency. The current supply and demand balance analysis is still based on the static method of comparing the maximum power load with the power output, and rarely considers the dynamic changes of load and power supply.

[0006] In general, the existing power planning methods still have many shortcomings in the three aspects of comprehensive resource management, new load forecasting, and supply and demand balance analysis. To this end, we combined the digital perception system platform and made full use of visualization technology to propose an industrial park power planning method and system based on new loads to solve the above problems. Summary of the invention

[0007] Therefore, the technical problem to be solved by the present invention is to overcome the technical problems in the prior art.

[0008] On the one hand, in order to solve the above technical problems, the present invention provides an industrial park power planning method and system based on new loads, comprising the following steps: S1: Statistics of electricity users, electric vehicles, distributed power sources, energy storage, grid equipment and other resources within the plot; S2: Predict the output of the source end and the energy consumption on the load side within the plot, and generate a new load curve; S3: Generate energy potential data within the plot, and judge the supply and demand balance of the plot and region; S4: Visualize the relevant data to assist in power planning and decision-making.

[0009] Furthermore, the statistics of electricity users, electric vehicles, distributed power sources, energy storage, grid equipment and other resources within the plot are to support the preliminary investigation work of power planning, and investigate the regional energy system, distribution network status, plot type, user type, etc.

[0010] Furthermore, the plots refer to the construction plots in the regional detailed control plan.

[0011] Furthermore, the statistics of electricity users, electric vehicles, distributed power sources, energy storage, power grid equipment and other resources within the plot are collected through docking with the marketing management system, manual import and other methods, including plot status data such as used electricity, reported, intended to be reported, sold, listed but not sold, and not listed.

[0012] Furthermore, the statistics of electricity users include basic information, capacity reported by various types of users (large industry, non-industry, residential life, ordinary industry, commerce, other electricity consumption) and other data. Furthermore, the statistics of electric vehicles include the number of electric vehicles, charging power, daily charging Power and other data.

[0013] Furthermore, the statistics of distributed power sources include photovoltaic installed capacity, annual cumulative power generation The data includes data such as amount of electricity generated and used, amount of electricity online, annual utilization hours, proportion of access modes (self-generation and self-use, surplus online, all self-use, all online), etc.

[0014] Furthermore, the energy storage statistics include data such as energy storage type, installed capacity, and monthly charge and discharge amounts.

[0015] Furthermore, the statistics of the power grid equipment include the number of distribution transformers, the number of 10kV feeder lines (public lines, dedicated lines), power supply, annual power sales, maximum daily power sales, equipment overload conditions, number of low-voltage substations and other data.

[0016] Furthermore, the output of the source end and the energy consumption on the load side are predicted within the plot, and a new load curve is generated, in order to obtain the output data of distributed power sources and power loads in different plots and at different stages, and form the temporal and spatial distribution of loads in each plot.

[0017] Furthermore, the power output of the source end includes the power output and the output sequence. Furthermore, the energy consumption of the load side includes the load forecast of the equipment and the line.

[0018] Furthermore, the new load curve includes an annual load curve, a monthly load curve, and a daily load curve.

[0019] Furthermore, the formation of energy potential data within the plots and the assessment of the supply and demand balance of the plots and regions refer to analyzing the degree of peak-valley complementarity between loads at different time scales, calculating the actual maximum transferable load and the comprehensive demand complementarity potential between different plots, and providing a decision-making basis for the energy supply and demand balance in the park.

[0020] Furthermore, the above-mentioned visualization of relevant data to assist power planning decisions refers to providing strong support for the timeliness and accuracy of park load forecasting based on geographic information and through digital means, so as to better carry out park planning and construction.

[0021] In another aspect, the present invention further provides a computer-readable storage medium. The read storage medium stores a computer program, which realizes any of the above-mentioned names when executed by a processor.

[0022] Compared with the prior art, the technical solution of the present invention has the following advantages: In terms of comprehensive resource management, the present invention timely matches power users through real-time collected information, and updates the comprehensive resource information within the plot in combination with multiple tags, so as to intuitively understand the comprehensive status of the plot and improve the accuracy of data acquisition.

[0023] In terms of new load forecasting, the present invention introduces distributed power output, combines power load output, fits a new load curve, and describes the user's comprehensive power demand more efficiently and accurately.

[0024] In terms of supply and demand balance analysis, the present invention takes into account the complementary effects of electricity in different time scales and on different plots of land, thereby improving the economy and safety of electricity planning. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the specific implementation of the present invention, the following is a brief introduction to the drawings required for the specific implementation. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0026] FIG1 is a flow chart of the present invention. The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. 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.

[0027] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer" and the like indicate The orientation or positional relationship is based on the orientation or positional relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0028] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0029] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0030] It is pointed out that the existing power planning methods still have many shortcomings in the three aspects of comprehensive resource management, new load forecasting, and supply and demand balance analysis. To this end, we combined the digital perception system platform and made full use of visualization technology to propose an industrial park power planning method and system based on new loads to solve the above problems.

[0031] The present invention discloses a method and system for industrial park power planning based on a new type of load, comprising the following steps: S1: Statistics of electricity users, electric vehicles, distributed power sources, energy storage, grid equipment and other resources within the plot; S2: Predict the output of the source end and the energy consumption on the load side within the plot, and generate a new load curve; S3: Generate energy potential data within the plot, and determine the supply and demand balance of the plot and region; S4: Visualize the relevant data to assist in power planning decisions.

[0032] The present invention establishes a comprehensive resource management database for each plot, and based on the user type of the regional park, establishes a comprehensive resource management database for plots in a pilot area, which includes characteristic values ​​such as plot properties, user type, power load, user-side energy form, and release coefficient.

[0033] First, the present invention establishes a highly compatible database to solve the problem of storing and processing multi-source heterogeneous data that may be accessed from different channels. At the same time, it discovers and identifies abnormal data in a large amount of user electricity consumption data, and then uses certain methods to process and compensate for the abnormal data. Secondly, the present invention proposes a load feature matching method, which determines the type of load operation at a certain time and in a certain plot by analyzing the basic information of users and the comprehensive energy data on the user side. Finally, the present invention comprehensively utilizes local sample statistical data and typical release coefficients, etc., to match load data according to monthly, semi-annual, annual and other time scales.

[0034] The present invention builds a load spatiotemporal distribution model and a power supply and demand balance analysis model, and builds a regional load spatiotemporal distribution model based on the user energy consumption behavior data analyzed by big data. The development of the park is constructed and developed under the guidance of the overall plan, the control detailed plan and the special plan. The load characteristics of different land use planning properties are quite different. At the same time, the park’s short-term and long-term saturated annual electricity demand also differs. The spatiotemporal distribution of electricity loads in each plot is closely related to its plot type and production stage; and with the advancement of the new power system, the construction of distributed energy on the user side is also increasing, making energy demand more complex. Therefore, by mining user electricity consumption data, combining elements such as plot status and user type, and relying on the load sample database, the load demand curves of different types of users that change over time are matched.

[0035] The present invention proposes a rule and method for determining abnormal load status, mining and analyzing multiple types of load The compliance of users' energy consumption behavior is used to build a regional power supply and demand balance judgment model. It can use its own large amount of data resources, combine with power planning needs, mine existing data, and propose a power supply and demand balance state judgment method that matches regional characteristics. It combines qualitative and quantitative analysis of the park load development trend. The output of the judgment model is used to assist in analyzing whether the demand side has the conditions for autonomous adjustment of energy demand, so as to provide support for planning decisions.

[0036] The present invention designs and develops a digital energy sensing system platform, develops a full-range digital energy sensing system architecture, database design solutions, visualization management, and intelligent management applications, realizes system development, promotes the improvement of the digitalization and intelligence level of load management, and assists in the construction of regional comprehensive energy and digital energy demonstration areas.

Claims

1. A method and system for industrial park power planning based on new loads, characterized in that: include: S1: Statistics of electricity users, electric vehicles, distributed power sources, energy storage, grid equipment and other resources within the plot; S2: Predict the output of the source end and the energy consumption on the load side within the plot, and generate a new load curve; S3: Generate energy potential data within the plot, and judge the supply and demand balance of the plot and region; S4: Visualize the relevant data to assist in power planning and decision-making.

2. According to claim 1, a method and system for industrial park power planning based on new loads is characterized in that: Statistics are collected on resources such as electricity users, electric vehicles, distributed power sources, energy storage, and grid equipment within the plot, including plot status, basic information and registration information of electricity users, number of electric vehicles, charging power, and charging amount, capacity of distributed power sources, and online power, type and capacity of energy storage, and charging and discharging amount, distribution and feeder, and power supply data.

3. According to claim 1, a method and system for industrial park power planning based on new loads is characterized in that: Predict the power output at the source end and the energy consumption on the load side within the plot, generate a new load curve, including power output and output sequence, load forecast of equipment and lines, annual load curve, monthly load curve, daily load curve, etc., to form the temporal and spatial distribution of load for each plot.

4. According to claim 1, a method and system for industrial park power planning based on new loads is characterized in that: Generate energy potential data within the plots, and judge the supply and demand balance of the plots and regions, including analyzing the peak-valley complementarity between loads at different time scales, calculating the actual maximum transferable load, and the comprehensive demand complementarity potential between different plots, to provide a decision-making basis for the energy supply and demand balance in the park.

5. According to claim 1, an industrial park power planning method based on new loads A method and system, characterized in that Visualize relevant data to assist in power planning decisions, including providing strong support for the timeliness and accuracy of park load forecasts based on geographic information and through digital means, so as to better plan and construct the park.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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