Bharadwaj, Raghuram D and Reddy, Sai Koti and Narayanam, Krishnasuri and Bhatnagar, Shalabh (2018) A unified decision making framework for supply and demand management in microgrid networks. In: IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), OCT 29-31, 2018, Aalborg, DENMARK.
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This paper considers two important problems- on the supply-side and demand-side respectively and studies both in a unified framework. On the supply side, we study the problem of energy sharing among microgrids with the goal of maximizing profit obtained from selling power while at the same time not deviating much from the customer demand. On the other hand, under shortage of power, this problem becomes one of deciding the amount of power to be bought with dynamically varying prices. On the demand side, we consider the problem of optimally scheduling the time-adjustable demand - i.e., of loads with flexible time windows in which they can be scheduled. While previous works have treated these two problems in isolation, we combine these problems together and provide a unified Markov decision process (MDP) framework for these problems. We then apply the Q-learning algorithm, a popular model-free reinforcement learning technique, to obtain the optimal policy. Through simulations, we show that the policy obtained by solving our MDP model provides more profit to the microgrids.
| Item Type: | Conference Proceedings |
|---|---|
| Publisher: | IEEE |
| Additional Information: | IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Aalborg, DENMARK, OCT 29-31, 2018 |
| Department/Centre: | Division of Electrical Sciences > Computer Science & Automation Division of Interdisciplinary Sciences > Robert Bosch Centre for Cyber Physical Systems |
| Date Deposited: | 18 Mar 2019 09:13 |
| Last Modified: | 18 Mar 2019 09:15 |
| URI: | http://eprints.iisc.ac.in/id/eprint/61964 |
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