Abstract
An energy management algorithm to optimally control a rooftop solar photovoltaic device in combination with a battery storage and considering variable pricing is analyzed for single family houses. A discrete time dynamic programming controller is developed to minimize the electricity costs. It is shown in simulation, using real world measurement data, that considerable savings can be achieved with the optimal controller. However, we also show the limitations of such discrete time approaches in realistic scenarios when load and generation changes in-between the samples where the controller is active. This can lead to a performance deterioration making the optimal controller worse than a standard approach.
| Original language | English |
|---|---|
| Title of host publication | 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 946-951 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781728159539 |
| DOIs | |
| Publication status | Published - 29 Jun 2020 |
| Event | 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020 - Prague, Czech Republic Duration: 29 Jun 2020 → 2 Jul 2020 |
Publication series
| Name | 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020 |
|---|
Conference
| Conference | 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020 |
|---|---|
| Country/Territory | Czech Republic |
| City | Prague |
| Period | 29.06.2020 → 02.07.2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- dynamic programming
- energy management
- renewable energy systems
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