Abstract
This paper explores the applicability of using dynamic programing (DP) and approximate dynamic programming (ADP) based methods for optimal dispatch of utility scale energy storage systems (ESS). In this study, the effectiveness of these approaches have been tested using the IEEE 13 node test feeder with distributed photovoltaics (PVs) and a utility scale storage system. In this work, a co-simulation based approach has been used to setup the experiment to be able to implement detailed ESS and network models. The results obtained from DP/ADP runs have been compared with three other control strategies both myopic and intelligent. Simulations results show that DP/ADP algorithms are a good candidate for optimal EES dispatch in terms of both solution quality and execution time.
Original language | American English |
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Number of pages | 8 |
State | Published - 2018 |
Event | 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) - Boise, Idaho Duration: 24 Jun 2018 → 28 Jun 2018 |
Conference
Conference | 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) |
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City | Boise, Idaho |
Period | 24/06/18 → 28/06/18 |
NREL Publication Number
- NREL/CP-5D00-70548
Keywords
- approximate dynamic programming
- co-simulation
- dynamic programming
- energy storage