1. Building a Sustainable Energy Future
Distributed Energy Models & Technology Needs
Confidential & Proprietary

2. Confidential & Proprietary
The Problem
Distributed Energy Resources are rapidly proliferating the distribution grid
AEP is in the process of decommissioning 11 coal plants, representing approximately 6,500 MW .
Distributed Energy Resources is growing 3 times faster than centralized generation
Among 400 utility stakeholders, 90% of survey respondents believe that the growth of DER will force a major shift in utility business models.
Confidential & Proprietary

3. DER Operational Models
ISO/RTO
Generator
Capacity / Regulation
Aggregator/ Retail
Utility / Wires
Distributed Energy Assets
Confidential & Proprietary

4. DER Operational Models
ISO/RTO
Generator
Capacity / Regulation
Aggregator/ Retail
Utility / Wires
Distributed Energy Assets
Confidential & Proprietary

5. DER Operational Models
ISO/RTO
Generator
Capacity / Regulation
Aggregator/ Retail
Utility / Wires
Capacity / Regulation / Voltage / Reliability
Distributed Energy Assets
Confidential & Proprietary

6. Co-optimization of Diverse Assets
Complexity
Simplicity
Non-Constant “Control” and “Storage” Characteristics
Storage
Real Power
Real Energy
Reactive Power
Ramp In/Out Rates
Tariff
...and more
Optimizing & Coordinating Diverse Assets
Inverters/Storage
Lighting
Dynamic Operational Constraints & Control Operations
CHP
Network Response
Loads (e.g. pump)
Confidential & Proprietary

7. Multi-Layer Control / Optimization
Optimization for Power Response and Market Conditions
Local Resource Optimization
Network Level Optimization
Regional Level Optimization
Grid Level Optimization
Grid Level Optimization for Grid/Service level objectives
(i.e. Grid Regulation, Capacity)
Collection of Networks Optimizing for the Network Scale objectives
(i.e. Substation or Region)
2 Second Action
Collection of Local Resources into a Network Level Optimization
(i.e. Campus, Feeder etc.)
Optimization for Power Response and Local Resource Conditions
The different levels of optimization can be prioritized in different ways. For example, local optimization can be higher priority than network optimization, or the priorities can be the other way around.
Local Constraint Based Optimization of the Objective based on Local Conditions and Operations
(i.e. DER, Load, System)

8. Application: Constraint Based Solar Firming & DR
The Problem: Highly Variable Solar
Increased Capacity Reserves
Higher Reliability Concerns
Constrained Renewable Deployment
The Solution: Create a Flexible Network of Resources
Individual Assets In the Network
The Symphony Platform is Co-Optimizing between the local constraints of the customer assets to firm the Solar Output for reliability & respond to a Demand Response Event. Simultaneous Optimization.
Result after Enbala Control of a network of assets
Effect of Solar on Substation

9. Application: Constraint Based Solar Firming & DR
Utility Benefits:
Improved Capacity
Reduced System Losses
More Renewable Capacity
Customer Benefits:
Improved reliability
Improved asset utilization
Greater energy insights
ESP Benefits:
Greater Renewable Penetration
Improved Controllability
Improved CapEx recovery
The Symphony Platform is Co-Optimizing between the local constraints of the customer assets to firm the Solar Output for reliability & respond to a Demand Response Event. Simultaneous Optimization.
Result after Enbala Control of a network of assets
Effect of Solar on Substation

10. Confidential & Proprietary
Arthur (Bud) Vos
President & CEO
Enbala Power Networks
Confidential & Proprietary