Distributed Energy Resource Aggregation for Peak Load Balancing
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Solution Overview
Problem
The existing electrical supply and load management systems struggle to match electricity demand with supply at an individual meter level, leading to potential grid failures and inefficiencies.
Innovation Solution
The implementation of a distributed energy resource optimizer (DERO) system that adjusts electrical supply and load at individual meters based on demand, utilizing distributed generation systems such as PV systems, battery backup systems, and EVSEs to manage electricity distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If electricity supply is increased to meet peak demand, then reliability is improved, but infrastructure cost increases
Solution Approach 1:
The system performs preliminary actions by charging distributed energy storage devices during off-peak hours when demand is low and excess supply is available. This advance energy storage enables the system to meet peak demand without requiring additional infrastructure capacity, thereby improving reliability while avoiding infrastructure cost increases.
Solution Approach 2:
The system changes the temporal distribution parameter of electricity consumption by shifting load from peak periods to off-peak periods through demand response programs and energy storage charging. This parameter change allows existing infrastructure to serve peak demand reliably without expansion, avoiding additional infrastructure costs.
2Productivity
If distributed energy resources are aggregated and optimized, then productivity is improved, but device complexity increases
Solution Approach 1:
The system introduces an intermediary energy management platform that aggregates and optimizes distributed energy resources. This intermediary handles the complexity of coordinating multiple DERs, storage devices, and demand response programs, thereby improving overall energy distribution efficiency while shielding individual components from system complexity.
Solution Approach 2:
The energy management system performs multiple functions including load aggregation, optimization, demand response coordination, and real-time monitoring within a single unified platform. This multi-functionality improves productivity by handling various energy distribution tasks efficiently while presenting a simplified interface that masks the underlying system complexity.
Data Source
AI summary
A method and system for managing demand and electricity supply are disclosed. A distributed energy resource optimizer (DERO) of the system may determine demand for electricity associated with a plurality of premises connected to an electrical grid where the plurality of premises includes one or more distributed generation systems, determine available electricity supply for the plurality of premises, and compare the demand with the available electricity supply. In response to determining that the demand is higher than the available electricity supply, the DERO may cause one or more storage devices associated with the one or more distributed generation systems to supply electricity to the plurality of premises. In response to determining that the demand is lower than the available electricity supply, the DERO may cause the one or more storage devices to store excess electricity supply.