| Title |
Technical Validation of the RLS Smart Grid Approach to Increase Power Grid Capacity without Physical Grid Expansion |
| ID_Doc |
67737 |
| Authors |
Christen, R; Layec, V; Wilke, G; Wache, H |
| Title |
Technical Validation of the RLS Smart Grid Approach to Increase Power Grid Capacity without Physical Grid Expansion |
| Year |
2019 |
| Published |
|
| DOI |
10.5220/0007717101230130 |
| Abstract |
The electrification of the global energy system and the shift towards distributed power production from sustainable sources triggers an increased network capacity demand at times of high production or consumption. Existing energy management solutions can help mitigate resulting high costs of large-scale physical grid reinforcement, but often interfere in customer processes or restrict free access to the energy market. In a preceding paper, we proposed the RLS regional load shaping approach as a novel business model and load management solution in middle voltage grid to resolve this dilemma: market-based incentives for all stakeholders are provided to allow for flexible loads that are non-critical in customer processes to be allocated to the unused grid capacity traditionally reserved for N-1 security of supply. We provide a validation of the technical aspects of the approach, with an evaluation of the day-ahead load forecasting method for industry customers and a load optimization heuristics. The latter is tested by a simulation run on a scenario of network branch with provoked capacity bottlenecks. The method handles all provoked critical network capacity situations as expected. |
| Author Keywords |
Smart Grid; Power Grid; Grid Capacity; Grid Reinforcement; Load Prediction; Load Management |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000570489100012 |
| WoS Category |
Computer Science, Artificial Intelligence; Green & Sustainable Science & Technology; Engineering, Electrical & Electronic |
| Research Area |
Computer Science; Science & Technology - Other Topics; Engineering |
| PDF |
https://doi.org/10.5220/0007717101230130
|