TY - GEN
T1 - Optimal energy management for cooperative microgrids with renewable energy resources
AU - Nguyen, Duong Tung
AU - Le, Long Bao
PY - 2013
Y1 - 2013
N2 - In this paper, we present an optimal energy management framework for a cooperative network of heterogeneous microgrids (MGs) where energy exchange among connected MGs is allowed to exploit the fluctuations of stochastic energy sources and demands. A multi-objective function is introduced that seeks to achieve an efficient tradeoff between low operation cost and good energy service for customers. The objective function captures the total cost of power exchange with the main grid, the startup and shutdown costs, the operating cost of distributed generators (DGs), the payment for demand response load, the penalty costs for involuntary load curtailment, and renewable energy spillage. We propose to employ the scenario-based two-stage stochastic optimization approach to deal with the uncertainties of renewable energy resources and load demand in the energy scheduling problem. The efficacy of the proposed energy management solution is demonstrated via numerical results.
AB - In this paper, we present an optimal energy management framework for a cooperative network of heterogeneous microgrids (MGs) where energy exchange among connected MGs is allowed to exploit the fluctuations of stochastic energy sources and demands. A multi-objective function is introduced that seeks to achieve an efficient tradeoff between low operation cost and good energy service for customers. The objective function captures the total cost of power exchange with the main grid, the startup and shutdown costs, the operating cost of distributed generators (DGs), the payment for demand response load, the penalty costs for involuntary load curtailment, and renewable energy spillage. We propose to employ the scenario-based two-stage stochastic optimization approach to deal with the uncertainties of renewable energy resources and load demand in the energy scheduling problem. The efficacy of the proposed energy management solution is demonstrated via numerical results.
UR - http://www.scopus.com/inward/record.url?scp=84893522301&partnerID=8YFLogxK
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U2 - 10.1109/SmartGridComm.2013.6688037
DO - 10.1109/SmartGridComm.2013.6688037
M3 - Conference contribution
AN - SCOPUS:84893522301
SN - 9781479915262
T3 - 2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013
SP - 678
EP - 683
BT - 2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013
T2 - 2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013
Y2 - 21 October 2013 through 24 October 2013
ER -