Resource optimization method for electric power spot transaction

Abstract

The invention relates to the technical field of electric power spot transaction, and discloses a resource optimization method for electric power spot transaction, comprising the following steps: S1, market analysis and prediction; s2, establishing a power transaction platform; s3, data optimization and management; s4, perfecting the use function of the platform; and S5, performing system integration and safety guarantee on the matching policy. According to the resource optimization method for the electric power spot transaction, by establishing the electric power transaction platform and optimizing the transaction strategy, the transaction efficiency and the market response speed are improved, the transaction risk is reduced, the healthy development of the electric power transaction platform in the market is promoted, and meanwhile, the intelligent level of a power grid is improved through the construction of the intelligent power grid; the application of the energy storage technology enhances the flexibility and stability of the power market, and jointly constructs an informatization platform of the power spot market.

Description

Technical Field

[0001] The present invention relates to the technical field of power spot trading, and in particular to a resource optimization method for power spot trading. Background Art

[0002] With the acceleration of global energy transformation and the increasing maturity of the electricity market, spot electricity trading has become an important means to optimize resource allocation and improve market efficiency.

[0003] However, the current electricity spot trading market faces many challenges, such as large fluctuations in electricity demand, uneven distribution of power generation resources, insufficient market transparency, and single trading strategy. These problems have seriously restricted the healthy development of the electricity spot market and affected the optimal allocation of power resources and the stable operation of the power system. Therefore, a resource optimization method for electricity spot trading is proposed. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the shortcomings of the prior art, the present invention provides a resource optimization method for electricity spot trading, which has the advantages of strong flexibility and the ability to achieve healthy trading in the electricity spot market, and solves the problem that the imperfect electricity trading platform is unable to cope with the complex and changing market environment.

[0006] (II) Technical solution

[0007] In order to achieve the above-mentioned flexibility and healthy trading objectives in the electricity spot market, the present invention provides the following technical solutions: a resource optimization method for electricity spot trading, comprising the following steps:

[0008] Market analysis and forecast;

[0009] Establishing a power trading platform;

[0010] Data optimization and management

[0011] Improve the platform usage functions;

[0012] Match policies for system integration and security.

[0013] As a preferred technical solution of the present invention, the power trading platform (1) collects data including historical power trading data, meteorological data, economic indicators, policy changes and other multi-faceted information, provides data support for resource optimization, and uses relevant technologies to accurately predict power demand.

[0014] As a preferred technical solution of the present invention, the power trading platform optimizes trading strategies through high-frequency trading, risk management and strategy adjustment.

[0015] As a preferred technical solution of the present invention, the power trading platform is based on a smart grid, which accelerates construction, improves the intelligence level of the power grid, and realizes refined management of power transmission and distribution.

[0016] As a preferred technical solution of the present invention, the power trading platform applies energy storage technology to establish an information platform for the power spot market.

[0017] As a preferred technical solution of the present invention, the power trading platform is paired with a query reference tool, which refers to relevant government policies to achieve system integration and security assurance.

[0018] (III) Beneficial effects

[0019] Compared with the prior art, the present invention provides a resource optimization method for power spot trading, which has the following beneficial effects:

[0020] This resource optimization method for spot electricity trading improves trading efficiency and market response speed, reduces trading risks, and promotes the healthy development of the power trading platform in the market by establishing a power trading platform and optimizing trading strategies. At the same time, the construction of smart grids improves the intelligence level of power grids, and the application of energy storage technology enhances the flexibility and stability of the power market, jointly building an information platform for the spot electricity market. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a schematic diagram of the process of the present invention;

[0022] Figure 2 It is a schematic diagram of the scheme of the present invention;

[0023] Figure 3 It is a schematic diagram of relevant implementation measures of the information platform of the power spot market of the present invention.

[0024] In the figure: 1. Electricity trading platform; 2. Energy storage technology; 3. Smart grid; 4. Query and reference tools. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe 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.

[0026] In the description of the present invention, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0027] 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 direct connection, or an indirect connection 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.

[0028] See also Figure 1-3 , a resource optimization method for power spot trading, comprising the following steps:

[0029] S1. Market analysis and forecast;

[0030] In this analysis, data support is provided for resource optimization by collecting multiple information such as historical electricity trading data, meteorological data, economic indicators, and policy changes.

[0031] Use technologies such as big data analysis and machine learning to accurately predict electricity demand, especially during peak hours.

[0032] S2. Establishing an electricity trading platform 1;

[0033] During this phase, we will promote the application of energy storage technology 2 in the electricity spot market, achieve electricity balance regulation and peak load shifting through energy storage facilities, and most importantly, establish an information platform for the electricity spot market to provide real-time transaction information, data analysis, decision support and other services to improve the transaction efficiency of market participants.

[0034] With the help of the power trading platform 1, the electricity produced by the power generation enterprises cooperating with it will be distributed to the supply and demand areas in a healthy manner.

[0035] In this embodiment, the information platform of the power spot market implements technical upgrades and integration:

[0036] 1) Introduce advanced information technology, utilize the elastic expansion capability of cloud computing and the processing capability of big data, improve the computing speed and data processing capability of the platform, realize real-time analysis and prediction of data, and introduce AI algorithms such as machine learning and deep learning for electricity volume and price prediction, market trend analysis, trading strategy formulation, etc., to improve the scientificity and accuracy of decision-making.

[0037] Among them, appropriate prediction models are selected according to the AI ​​algorithm, such as the ARI MA model based on time series, the VAR model based on the economic model, the BP neural network based on artificial neural network and machine learning, the support vector machine, etc.; according to the data characteristics and prediction needs, a prediction model is constructed, and the parameters are adjusted and optimized. The constructed model is used to predict electricity volume and electricity prices, and the prediction results are evaluated. The differences between the actual values ​​and the predicted values ​​are compared, and the accuracy and reliability of the model are evaluated. Finally, the model is further adjusted and optimized according to the evaluation results.

[0038] 2) Establish unified data interface standards to ensure that the platform can seamlessly connect with other power trading systems, power grid management systems, etc. to achieve data sharing and exchange, and adopt a modular design approach to divide the platform into multiple functional modules, such as data collection, data processing, market analysis, transaction management, user services, etc., to facilitate subsequent functional expansion and maintenance.

[0039] S3, data optimization and management;

[0040] In this stage, with the help of smart grid 5, the intelligence level of the power grid is improved, and refined management of power transmission and distribution is achieved.

[0041] In this embodiment, the information platform of the power spot market implements:

[0042] 1) Data collection and cleaning: Through multi-source data collection, the transaction center data, online state grid data, weather forecast, market entity data, third-party interface data, etc. are automatically obtained in real time to ensure the comprehensiveness and timeliness of the data, and then the data is cleaned and verified. The collected data is cleaned and verified to remove errors, duplications and invalid data to improve data quality.

[0043] 2) Data visualization and intelligent analysis: Through charts, dashboards and other forms, it intuitively displays information such as electricity volume, electricity prices, and transaction status to help users quickly understand market conditions. It also uses AI algorithms to deeply mine and analyze massive data to discover market patterns and potential risks, providing strong support for trading decisions.

[0044] S4. Improve the platform usage functions;

[0045] Before updating the electricity trading platform, a trial version will be launched for some high-quality users to optimize and expand functions based on their usage feedback.

[0046] 1) Transaction management function: It provides convenient transaction monitoring services, supports batch declaration, transaction monitoring, pending order monitoring, position query and other operations, realizes efficient trading, and automatically generates re-analysis reports to help users grasp the transaction volume, transaction price results and profit and loss of each transaction and each period, and timely discover optimization space and potential risks.

[0047] Among them, an intuitive and easy-to-use trading monitoring interface is designed to ensure that users can view market conditions, positions, trading information, etc. at a glance. At the same time, the interface supports custom settings, and users can adjust the display content and layout according to personal preferences.

[0048] Provide batch declaration interface or tools to allow users to submit multiple trading instructions at one time, improve trading efficiency, support preview and confirmation of batch declaration instructions, and ensure the accuracy of instructions.

[0049] Real-time monitoring of users' pending orders, including order price, order quantity, order time, etc., provides functions such as order cancellation and modification, so that users can adjust their trading strategies in time according to market changes.

[0050] It provides a detailed position query function, where users can check their own position status, including the stocks held, the number of positions held, the cost of positions held, etc. It supports position profit and loss analysis, and uses algorithms to build models to help users understand the profit or loss of positions.

[0051] Automatically collect users' transaction data, position data, market data, etc., organize and analyze the collected data, and extract key information to generate review analysis reports.

[0052] Generate a review analysis report based on user needs. The report content should include the transaction volume, transaction price results, and profit and loss situation of each transaction and each time period. The report can be exported in multiple formats (such as Excel, PDF, etc.) to facilitate users to conduct further analysis and sharing.

[0053] 2) Market analysis and forecasting: With the help of AI algorithms, a model for predicting electricity volume and electricity prices is established. Accurate forecasting is achieved by integrating information such as coal price changes, weather forecasts, and historical loads. At the same time, historical transaction data and market dynamics are combined to analyze market trends and changes, and provide users with market analysis reports and strategic recommendations.

[0054] It should be noted that according to the characteristics of the data and the prediction requirements, appropriate AI algorithms are selected, such as neural networks (such as LSTM, GRU, etc.), support vector machines (SVM), random forests, etc. These algorithms can handle complex nonlinear relationships and high-dimensional data, and use the collected data to build a electricity quantity and electricity price prediction model. The model needs to be able to make predictions based on multiple factors such as coal price changes, weather forecasts, and historical loads. The model is trained using historical data and the model parameters are adjusted so that the model can better adapt to the data characteristics and improve the prediction accuracy. Finally, the model is verified using a validation data set to evaluate the accuracy and stability of the model. The model is tuned according to the verification results to improve the prediction performance.

[0055] 3) User service function: Provide an "e-commerce style" self-service electricity purchasing experience, allowing users to purchase retail packages, sign cooperation agreements, change services online, etc. In addition, provide convenient electricity services such as electricity consumption declaration, electricity bills, consultation and answering questions, emission reduction analysis, etc. to improve user satisfaction.

[0056] In this embodiment, the information platform of the power spot market implements user experience optimization:

[0057] 1) Interface design: Design a simple and clear user interface to ensure that users can quickly get started and operate efficiently, and support users to customize the interface and functional modules according to their own needs to improve user experience.

[0058] 2) Feedback mechanism: Establish a user feedback mechanism to collect user opinions and suggestions in a timely manner to provide a basis for platform optimization. At the same time, based on user feedback and market changes, continuously optimize platform functions and performance to ensure that the platform always maintains a leading position.

[0059] S5. Matching policies for system integration and security assurance;

[0060] In this stage, the power trading platform 1 is paired with a query reference tool 4, which refers to the relevant policies introduced by the government to achieve system integration and security assurance.

[0061] In this embodiment, the information platform of the power spot market implements:

[0062] 1) System integration: Optimize and integrate information system resources, improve resource utilization efficiency, reduce operation and maintenance costs, and optimize business processes and operating procedures, reduce manual intervention and error rates, and improve business processing efficiency.

[0063] 2) Security:

[0064] ① Strengthen network security protection to ensure the security and integrity of information.

[0065] Among them, multi-factor authentication (MFA) is enabled on key accounts, combining multiple authentication methods such as passwords, mobile phone verification codes, fingerprint recognition, etc. to improve account security.

[0066] ② Encrypt sensitive data to prevent data leakage and illegal access.

[0067] Among them, select the appropriate encryption algorithm:

[0068] Symmetric encryption algorithms, such as DES, 3DES, and AES, use the same key for encryption and decryption. The encryption speed is fast, but the key management is complex, and it is necessary to ensure that the key is securely transmitted between the communicating parties.

[0069] Asymmetric encryption algorithms, such as RSA and ECC, use a pair of keys (public key and private key) for encryption and decryption. The public key can be made public, while the private key is kept confidential. The advantage is that key management is convenient, but the encryption speed is slow.

[0070] Hybrid encryption algorithm: combines the advantages of symmetric encryption and asymmetric encryption, such as SM2, SM3, etc. It not only ensures encryption speed, but also facilitates key management.

[0071] When users access files, the encryption process is transparent to them. Files are automatically encrypted when saved and automatically decrypted in an authorized environment, ensuring that the files can be opened and used normally within the company. However, once out of the authorized environment, the files cannot be opened or will display garbled characters.

[0072] ③ Establish a complete permission management system to ensure that different users can only access data and functions within their permission scope.

[0073] Among them, authentication methods such as username and password and two-factor authentication are used to ensure the authenticity of the user's identity. For important operations, additional authentication steps can be added, such as mobile phone verification code, fingerprint recognition, etc., and access control lists (ACLs) and role-based access control (RBAC) and other mechanisms are used to limit user access to data and functions. The system should monitor user access behavior in real time, and promptly report and take measures when abnormal behavior is found. In addition, user permissions should be audited regularly to check whether the permission allocation is reasonable and whether there is a risk of unauthorized access. For problems found, permission settings should be adjusted in a timely manner and relevant responsibilities should be investigated. User access behavior should be monitored in real time, and user login time, operation content, operation results and other information should be recorded. Through data analysis, potential security threats can be discovered and handled in a timely manner.

[0074] The beneficial effects of the above embodiments are:

[0075] By establishing the electricity trading platform 1 and optimizing the trading strategy, the trading efficiency and market response speed are improved, the trading risks are reduced, and the healthy development of the electricity trading platform 1 in the market is promoted. At the same time, the construction of the smart grid 6 improves the intelligence level of the power grid, and the application of energy storage technology 3 enhances the flexibility and stability of the electricity market, jointly building an information platform for the electricity spot market.

[0076] 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 resource optimization method for power spot trading, characterized in that: The following steps are involved: Market analysis and forecast; Establishing an electricity trading platform (1); Data optimization and management; Improve the platform usage functions; Match policies for system integration and security.

2. A resource optimization method for power spot trading according to claim 1, characterized in that: The power trading platform (1) collects data including historical power trading data, meteorological data, economic indicators, policy changes and other diversified information, provides data support for resource optimization, and uses relevant technologies to accurately predict power demand.

3. The resource optimization method for power spot trading according to claim 1, characterized in that: The power trading platform (1) applies energy storage technology (2) and is used to establish an information platform for the power spot market.

4. The resource optimization method for power spot trading according to claim 1, characterized in that: The power trading platform (1) is supported by a smart grid (5), which accelerates construction, improves the intelligence level of the power grid, and realizes refined management of power transmission and distribution.

5. The resource optimization method for power spot trading according to claim 1, characterized in that: The power trading platform (1) establishes certain data and issues a trial version, and optimizes the feedback from the trial users according to user needs.

6. The resource optimization method for power spot trading according to claim 1, characterized in that: The power trading platform (1) is paired with a query reference tool (4) to achieve system integration and security assurance by referring to relevant government policies.

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