Search

CN-121981767-A - Power grid enterprise internal business simulation market settlement method and system based on rule engine and dynamic pricing engine

CN121981767ACN 121981767 ACN121981767 ACN 121981767ACN-121981767-A

Abstract

The invention discloses a method and a system for simulating market settlement of internal business of a power grid enterprise based on a rule engine and a dynamic pricing engine, wherein the method comprises the steps of defining a transaction main body for simulating market settlement of the internal business of the power grid enterprise, and dividing the transaction main body into a service unit and a served unit; the method comprises the steps of sorting business activities according to business characteristics, dynamically configuring corresponding workflow, cost benefit allocation factor relation and custom business rules for the business activities between a service unit and a served unit by utilizing a rule engine, integrating internal data and external data by utilizing a dynamic pricing engine, selecting a corresponding pricing algorithm model according to the business characteristics of the business activities provided by the service unit, generating and dynamically adjusting internal settlement prices provided for the served unit, carrying out simulated metering, pricing and settlement on the business activities between the service unit and the served unit, measuring and calculating simulated profits of each unit, and carrying out multidimensional evaluation analysis.

Inventors

  • Gao Qianwen
  • ZHU JING
  • ZHAO LIN
  • XIA YUANYUAN
  • MA LIJUAN
  • CHENG WEIHUA
  • XU BINFENG
  • CHEN GANG
  • LI QILONG
  • HU DEAN
  • Luan ting

Assignees

  • 江苏电力信息技术有限公司

Dates

Publication Date
20260505
Application Date
20260104

Claims (9)

  1. 1. A power grid enterprise internal business simulation market settlement method based on a rule engine and a dynamic pricing engine is characterized by comprising the following steps: The method comprises the steps of defining a transaction main body of the business simulation market settlement in a power grid enterprise, and dividing the transaction main body into a service unit and a served unit; clearing the business activities provided by the service units to the served units, and classifying the business activities according to business characteristics; The corresponding workflow, cost benefit sharing factor relation and custom business rules are dynamically configured for the business activities between the service units and the served units by utilizing the rule engine; Integrating internal data and external data by using a dynamic pricing engine, selecting a corresponding pricing algorithm model according to the service characteristics of service activities provided by a service unit, and generating and dynamically adjusting an internal settlement price provided for the service unit; And carrying out simulated metering, pricing and settlement on the business activities between the service units and the served units, measuring and calculating the simulated profits of the units, and carrying out multidimensional evaluation analysis.
  2. 2. The method for simulating market settlement of business within a power grid enterprise based on a rule engine and a dynamic pricing engine according to claim 1, wherein the specific method for dynamically configuring corresponding workflow, cost benefit amortization factor relation and custom business rules for business activities between service units and served units by using the rule engine comprises the following steps: the method comprises the steps of establishing a rule base, defining the types, the number and the strategies of rules in the rule base, classifying and labeling the rules to distinguish rule application under different service scenes, wherein the types of the rules at least comprise work approval rules, cost allocation rules and custom service rules, and the strategies of the rules correspond to the types corresponding to the rules; Designing a rule model for describing business logic and decision processes based on the rule base; Loading and executing the rule model by using a rule engine to realize dynamic configuration of a workflow, business activities and allocation cause relation table; developing and testing a rule engine to ensure that it executes rules according to the requirements of the rule model; And evaluating, analyzing, optimizing and updating the rules in the rule base, and verifying after updating to ensure the accuracy and effectiveness of the rules.
  3. 3. The method for simulated market settlement of internal business of a power grid enterprise based on a rule engine and a dynamic pricing engine according to claim 2, wherein formulating corresponding different rules for different business scenarios comprises formulating bilateral settlement rules for point-to-point business and formulating multilateral allocation rules for point-to-network business.
  4. 4. The method for simulating market settlement of internal business of power grid enterprises based on a rule engine and a dynamic pricing engine according to claim 2, wherein a decision table is used as a display mode of a rule base, and the decision table defines business types and corresponding basic business rule characteristics to which different business activities belong.
  5. 5. The method for simulating market settlement of internal business of power grid enterprise based on rule engine and dynamic pricing engine according to claim 2, wherein the specific method for integrating internal data and external data by dynamic pricing engine and selecting corresponding pricing algorithm model according to business characteristics of business activities provided by service units to generate and dynamically adjust internal settlement price provided to service units comprises: Collecting and processing internal data and external data in real time to form a data set for pricing decision; Based on the data set, constructing a pricing algorithm model containing a plurality of pricing algorithms by combining the business targets and the constraint conditions so as to generate an optimal price strategy; embedding a pricing algorithm model into a settlement platform, automatically calling a corresponding model according to classification characteristics of business activities, and executing pricing to generate an internal settlement price; And (3) monitoring the pricing effect in real time, obtaining market feedback, identifying deviation, and correcting and iteratively optimizing the pricing algorithm model parameters according to the market feedback.
  6. 6. The method for simulating market settlement of power grid enterprise internal business based on rule engine and dynamic pricing engine as claimed in claim 5, wherein the internal data is derived from active links formed by the clarified business activities and business data among transaction subjects, and the external data comprises market demand, supply condition and market price information collected through market research.
  7. 7. The utility model provides a power grid enterprise internal business simulation market settlement system based on a rule engine and a dynamic pricing engine, which is characterized by comprising a main body definition module, a business activity classification module, a rule driving configuration module, a dynamic pricing decision module and a simulation accounting and evaluation module; the main body definition module is used for defining a transaction main body of the business simulation market settlement in the power grid enterprise and dividing the transaction main body into a service unit and a served unit; The business activity classification module is used for clearing business activities provided by the service units to the served units and classifying the business activities according to business characteristics; the rule driving configuration module is used for dynamically configuring corresponding workflow, cost benefit allocation factor relation and custom business rules for business activities between a service unit and a served unit by using a rule engine; The dynamic pricing decision module is used for integrating internal data and external data by utilizing a dynamic pricing engine, selecting a corresponding pricing algorithm model according to the service characteristics of service activities provided by a service unit, and generating and dynamically adjusting an internal settlement price provided for the service unit; The simulation accounting and evaluating module is used for carrying out simulation metering, pricing and settlement on business activities between the service units and the served units, measuring and calculating simulation profits of the units and carrying out multi-dimensional evaluation analysis.
  8. 8. An electronic device comprising a memory storing a computer program and a processor for invoking and running the computer program stored in the memory to perform the method of any of claims 1 to 6.
  9. 9. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any of the preceding claims 1 to 6.

Description

Power grid enterprise internal business simulation market settlement method and system based on rule engine and dynamic pricing engine Technical Field The invention belongs to the technical field of electric power system operation, and particularly relates to a method and a system for power grid enterprise internal business simulation market settlement based on a rule engine and a dynamic pricing engine. Background For a long time, three pain points exist in the internal business settlement of a power grid enterprise, namely, the traditional cost addition method cannot reflect the real-time supply and demand relation of electric power, the cross-department transaction lacks a financial hedging mechanism and cannot be truly reflected, and the time delay difference between a price signal and an external electric power market is more than 40%. In recent years, researchers have conducted intensive research on internal business simulation market pricing mechanisms by building tools and methods such as price models, pricing strategies, market simulation models and the like in order to find more scientific and effective pricing methods and strategies. While more and more businesses are also beginning to focus on the study of internal simulated marketized pricing mechanisms, and are in practice being applied and explored. In addition, traditional software generally builds different business models according to different real demands and solidifies into heterogeneous database tables, and when adding or modifying attributes to certain business objects (components for searching and managing data) is required, code developers are generally required to perform field adding and saving functions from the foreground to the background. Therefore, there is a need for a method and a system for business simulation market settlement in a power grid enterprise, which can realize dynamic maintenance of business rule attributes. Disclosure of Invention In order to solve the problems in the prior art, the invention provides a method and a system for simulating market settlement of internal business of a power grid enterprise based on a rule engine and a dynamic pricing engine. The technical scheme of the invention is as follows: A power grid enterprise internal business simulation market settlement method based on a rule engine and a dynamic pricing engine comprises the following steps: The method comprises the steps of defining a transaction main body of the business simulation market settlement in a power grid enterprise, and dividing the transaction main body into a service unit and a served unit; clearing the business activities provided by the service units to the served units, and classifying the business activities according to business characteristics; The corresponding workflow, cost benefit sharing factor relation and custom business rules are dynamically configured for the business activities between the service units and the served units by utilizing the rule engine; Integrating internal data and external data by using a dynamic pricing engine, selecting a corresponding pricing algorithm model according to the service characteristics of service activities provided by a service unit, and generating and dynamically adjusting an internal settlement price provided for the service unit; And carrying out simulated metering, pricing and settlement on the business activities between the service units and the served units, measuring and calculating the simulated profits of the units, and carrying out multidimensional evaluation analysis. Further, the specific method for dynamically configuring corresponding workflow, cost benefit allocation dynamic cause relation and custom business rule for business activities between the service units and the served units by using the rule engine comprises the following steps: the method comprises the steps of establishing a rule base, defining the types, the number and the strategies of rules in the rule base, classifying and labeling the rules to distinguish rule application under different service scenes, wherein the types of the rules at least comprise work approval rules, cost allocation rules and custom service rules, and the strategies of the rules correspond to the types corresponding to the rules; Designing a rule model for describing business logic and decision processes based on the rule base; Loading and executing the rule model by using a rule engine to realize dynamic configuration of a workflow, business activities and allocation cause relation table; developing and testing a rule engine to ensure that it executes rules according to the requirements of the rule model; Evaluating, analyzing, optimizing and updating rules in a rule base, and verifying after updating; further, different rules are formulated for different service scenarios, including formulation of bilateral settlement rules for point-to-point services and formulation of multilateral allocation rules for point-to-ne