Advanced Energy Settlement Platform for Grid Data Aggregation
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Solution Overview
Problem
Current electric power systems lack the necessary information and data analytics for consumers and retail electric providers to make informed decisions about power supply and pricing, leading to suboptimal pricing and lack of advanced energy settlements.
Innovation Solution
An advanced energy settlement platform that aggregates consumption data and revenue-grade metrology to provide real-time information and financial settlements, coupled with a graphic user interface for interactive control and management of electric power usage, enabling optimal pricing and settlements for energy customers, retail electric providers, and distributed generators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If real-time data aggregation and analytics are implemented, then informed decision-making capability is improved, but system complexity increases
Solution Approach 1:
The platform segments data processing into distinct functional modules: data aggregation from multiple sources, analytics processing, settlement calculation, and user interface presentation. This modular segmentation allows complex data handling to be distributed across separate components, reducing overall system complexity while maintaining comprehensive information availability.
Solution Approach 2:
The advanced energy settlement platform acts as an intermediary layer between raw data sources (meters, sensors, market data) and end users (consumers, providers). This intermediary consolidates and processes information centrally, providing simplified access to complex data without requiring users to directly manage the underlying system complexity.
2Measurement precision
If real-time settlement processing is implemented, then settlement accuracy is improved, but processing time increases
Solution Approach 1:
The platform performs preliminary data validation, normalization, and categorization as data arrives, preparing it in advance for settlement calculations. By pre-processing data into standardized formats and validating completeness beforehand, the actual settlement calculation requires minimal additional time while maintaining high accuracy through thorough preliminary checks.
3Quantity of substance
If comprehensive data aggregation from multiple sources is implemented, then data completeness is improved, but data integration complexity increases
Solution Approach 1:
The platform implements a universal data aggregation layer that handles multiple data sources (smart meters, market data feeds, weather data, consumer profiles) through a single standardized interface. This multi-functional aggregation layer applies consistent processing rules across all data types, reducing integration complexity while comprehensively capturing data from diverse sources.
Data Source
AI summary
Systems and methods for advanced energy settlements in electric power grid are proposed. At least one energy customer, at least one retail electric provider and at least one distributed generator connect to an advanced energy settlement platform communicatively. The advanced energy settlement platform is operable to summate a customer balance from all the settlement blocks during a billing period and collect payments from the at least one energy customer automatically; aggregate and settle distributed energy charges with distributed generators and fixed energy charges with the energy retailer or retail energy provider for the at least one energy customer during the billing period. The advanced energy settlement platform also provides interactive graphical user interface for different participants in the advanced energy settlement and for advanced energy settlements application development kit (ADK) for access to functionality within the advanced energy settlement platform.