Energy Storage Dispatch Planning for Multi-Service Grid Operation

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Solution Overview

Problem

Existing energy storage systems on electrical grids face inefficiencies due to limited flexibility in operation, as they are often managed by predefined rules that do not account for real-time grid and market conditions, leading to sub-optimal performance and accelerated degradation.

Innovation Solution

An energy storage management system that uses historical and real-time data to generate optimized dispatch plans for energy storage systems, considering various technical, locational, temporal, and economic parameters to determine the best use of energy storage resources at any given time, thereby extending their lifespan and maximizing revenue.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If predefined operating rules are used to manage energy storage systems, then operation simplicity is improved, but operational flexibility and performance optimization deteriorate

Engineering Contradiction:
Improveoperation simplicityVSAvoidoperational flexibility
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The patent implements dynamic dispatch planning that adjusts energy storage operation in real-time based on grid conditions, market prices, and system state. The system transitions from static predefined rules to dynamic optimization by continuously recalculating dispatch strategies using current SOC, power constraints, and economic signals, thereby achieving both operational simplicity through automation and adaptability through real-time responsiveness.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system incorporates feedback mechanisms by monitoring actual grid conditions, market prices, and energy storage system state (SOC, power output) and using this information to adjust dispatch decisions. The optimization algorithm continuously receives feedback from the grid environment and modifies operating strategies to maximize economic value while maintaining system reliability, resolving the contradiction between simple operation and flexible adaptation.

Inventive Principle:
Principle #23Feedback

2Device complexity

If energy storage systems operate without considering real-time grid conditions, then system complexity is reduced, but economic performance and grid integration quality deteriorate

Engineering Contradiction:
Improvesystem complexityVSAvoideconomic performance
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The patent implements an autonomous energy storage management system that independently analyzes grid conditions, market signals, and system state to generate optimized dispatch plans without requiring complex external coordination. The system self-adjusts its operation based on real-time data, performing economic optimization and grid service provisioning automatically, thereby achieving high economic performance while maintaining manageable system complexity through automated decision-making.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system dynamically changes operational parameters (charge/discharge power, SOC targets, dispatch timing) based on real-time grid conditions and market prices. By continuously adjusting these parameters in response to changing economic signals and grid needs, the system achieves superior economic performance without requiring permanently complex infrastructure, as the complexity is managed through adaptive parameter optimization rather than fixed complex architecture.

Inventive Principle:
Principle #35Parameter changes

3Device complexity

If energy storage systems are managed with limited service provisioning, then operational constraints are simplified, but revenue potential and grid value deteriorate

Engineering Contradiction:
Improveoperational constraintsVSAvoidrevenue potential
Core Design Contradiction:
Device complexityVSQuantity of substance

Solution Approach 1:

The patent enables energy storage systems to simultaneously provide multiple grid services including frequency regulation, energy arbitrage, capacity reservation, and ancillary services. The unified optimization framework coordinates these diverse functions by integrating multiple revenue streams and grid value propositions into a single dispatch strategy, allowing the system to maximize total revenue potential while managing operational constraints through centralized multi-objective optimization rather than separate control systems.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS11789082B2Systems and method for managing dispatch and lifecycle of energy storage systems on an electrical grid, including management of energy storage systems for provisioning of multiple services
Publication Date: 2023.10.17 JUPITER POWER LLC
  • US11789082B2 patent drawing
  • US11789082B2 patent drawing
  • US11789082B2 patent drawing

AI summary

Systems and methods for managing dispatch of an energy storage system through use of projected outcomes. The projected outcomes are generated based on a model that includes a set of defined operating states. The operating states represent a particularized energy-market allocation approach. An outcome is projected for each operating state. An optimal outcome is selected from the set of projected outcomes.