Abstract
As part of the DOE SHINES program, EPRI presents the objectives, design, modeling results, and field tests/experiences from their DER management system (DERMS). The DERMS uses model predictive control with a combination of static and forecasted inputs (including forecasted solar) to coordinate controllable loads, battery charging/discharging, and PV generation. When applied to a two-house residential system, local load control (consisting of pool pumps, water heaters, and HVAC systems) is shown to potentially reduce power and energy capacity requirements for the battery while still achieving system-level power import and export constraints. At the same time, the controller is shown to reduce battery cycling and provide a financial incentive to the customer by optimizing load usage according to tiered time of use rates.
| Original language | English |
|---|---|
| Title of host publication | 2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2064-2071 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781728104942 |
| DOIs | |
| Publication status | Published - Jun 2019 |
| Externally published | Yes |
| Event | 46th IEEE Photovoltaic Specialists Conference, PVSC 2019 - Chicago, United States Duration: 16 Jun 2019 → 21 Jun 2019 |
Publication series
| Name | Conference Record of the IEEE Photovoltaic Specialists Conference |
|---|---|
| ISSN (Print) | 0160-8371 |
Conference
| Conference | 46th IEEE Photovoltaic Specialists Conference, PVSC 2019 |
|---|---|
| Country/Territory | United States |
| City | Chicago |
| Period | 16/06/19 → 21/06/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- DER grid services
- DER management system (DERMS)
- Model Predictive Control (MPC)
- battery energy storage
- flexible loads
- integrated DER
- solar photovoltaic (PV)
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