Abstract
This paper presents a stochastic predictive control algorithm for a number of microgrids connected to the same distribution system. Each microgrid includes a variety of distributed resources such as wind turbine, photo voltaic units, energy storage devices and loads. Considering the uncertainty of loads and renewable-based distributed resources, the power management problem is formulated in the framework of stochastic control. The microgrids operation are coupled through a joint probabilistic constraint which requires the power flow from utility to each microgrid limits to a pre-specified range. Utilizing probabilistic distribution function of uncertain variables, the deterministic counterpart of the problem is derived and a close-optimal solution of the problem is achieved. The Monte-Carlo simulation analysis is used to justify the robustness characteristics of the solution.
| Original language | English |
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| Title of host publication | Proceedings of 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) : EEEIC 2018 |
| Number of pages | 5 |
| Publisher | IEEE Press |
| Publication date | 16 Oct 2018 |
| Pages | 1-5 |
| Article number | 8494353 |
| ISBN (Print) | 978-1-5386-5187-2 |
| ISBN (Electronic) | 978-1-5386-5186-5 |
| DOIs | |
| Publication status | Published - 16 Oct 2018 |
| Event | IEEE 18th International Conference on Environment and Electrical Engineering and 2nd Industrial and Commercial Power Systems Europe - Palermo, Italy Duration: 12 Jun 2018 → 15 Jun 2018 https://www.eeeic.net/eeeic/ |
Conference
| Conference | IEEE 18th International Conference on Environment and Electrical Engineering and 2nd Industrial and Commercial Power Systems Europe |
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| Country/Territory | Italy |
| City | Palermo |
| Period | 12/06/2018 → 15/06/2018 |
| Internet address |
Keywords
- Multi-microgrid system
- renewable energy resources
- stochastic control
- uncertainty management