Co-optimizing Demand Response and Energy Storage Dispatch

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Solution Overview

Problem

Current electrical grid systems lack a strategic approach to co-optimally utilize demand response and energy storage resources, leading to inefficient cost management and reduced economic gains, as existing methods do not provide a control strategy for integrated utilization of these resources to meet load reduction objectives.

Innovation Solution

A method and system that estimate dispatch costs, evaluate marginal savings from demand response and energy storage events, and determine a control strategy to co-optimize the utilization of demand response and energy storage resources, selecting events based on marginal savings to meet objectives and leverage hybrid operational capabilities.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If non-integrated (ad hoc) approaches are used to determine when to invoke demand response events versus energy storage events, then operational simplicity is maintained, but economic gains and cost optimization are reduced

Engineering Contradiction:
Improveoperational simplicityVSAvoideconomic gains
Core Design Contradiction:
Ease of operationVSLoss of energy

Solution Approach 1:

The patent combines demand response and energy storage resources into a single integrated control framework. The system evaluates both resources together and determines a unified dispatch strategy that coordinates when to invoke demand response events versus energy storage events, rather than managing them separately. This merging enables the utility to capture full economic value by optimally allocating both resources based on their respective marginal savings and operational characteristics.

Inventive Principle:
Principle #5Merging (Combining)

2Loss of energy

If integrated utilization of demand response and energy storage resources is implemented, then economic gains and cost optimization are improved, but system complexity increases

Engineering Contradiction:
Improveeconomic gainsVSAvoidsystem complexity
Core Design Contradiction:
Loss of energyVSDevice complexity

Solution Approach 1:

The patent introduces a control strategy system that acts as an intermediary between demand response resources and energy storage resources. This intermediary evaluates the grid system load, estimates dispatch costs, calculates marginal savings for both resource types, and determines the optimal dispatch mix. By centralizing the decision-making logic in this control layer, the system manages complexity while achieving integrated optimization of both resources.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Adaptability or versatility

If demand response and energy storage resources are used separately, then resource functionality is maintained, but total savings and load reduction effectiveness are reduced

Engineering Contradiction:
Improveresource functionalityVSAvoidtotal savings
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent implements a dynamic control strategy that adaptively determines the optimal mix of demand response and energy storage dispatch based on real-time conditions. The system evaluates marginal savings for each resource type and adjusts the dispatch strategy dynamically to maximize total savings. This dynamic approach allows the system to leverage the complementary operational capabilities of both resources, achieving greater total savings than separate utilization would permit.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS9209625B2Method and system to co-optimize utilization of demand response and energy storage resources
Publication Date: 2015.12.08 GE DIGITAL HLDG LLC
  • US9209625B2 patent drawing
  • US9209625B2 patent drawing
  • US9209625B2 patent drawing

AI summary

Method and system to provide co-optimized utilization of demand response and energy storage resources in an electrical grid system. The system may include a module to evaluate a marginal savings relative to a dispatch cost, if a demand response event is performed. The system may further include a module to evaluate a marginal savings relative to the dispatch cost, if an energy storage event is performed, and a controller including circuitry may be configured to determine a control strategy to perform a dispatch including a demand response event and/or an energy storage event, based at least in part on the respective marginal savings of the demand response event and/or the energy storage event, which may be selected to co-optimize an integrated utilization of the demand response and energy storage resources to meet a given objective.