TY - GEN
T1 - Microgrid Planning Considering the Uncertainty of Renewable Generation Profile
AU - Wang, Zhao
AU - Wu, Xiong
AU - Li, Ling
AU - Ying, Ying
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11
Y1 - 2018/11
N2 - The microgrid planning problem determines the optimal deployment of distributed energy resources (DERs) for a given load level. This paper proposes a microgrid planning model considering the uncertainty of renewable generation profile in daily operation. The proposed model aims to minimize the total cost including both the investment cost and operation cost for the candidate DERs during the project life. According to its specific structure, the problem is decomposed into an investment master problem and several operation subproblems. The uncertainty of renewable generation profile is considered in the subproblems. The microgrid planning problem is finally formulated as a robust optimization problem, and it is solved under the framework of column-and-constraint generation (CCG). The subproblem examines the optimality of the master problem by calculating the worst-case optimal operation under uncertainty. Corresponding cuts will be generated and augmented into the master problem in the iterations. The developed model is tested on a microgrid system. Simulation indicates that the proposed model is effective to make an optimal deployment of DERs considering the uncertainty of renewable generation profile.
AB - The microgrid planning problem determines the optimal deployment of distributed energy resources (DERs) for a given load level. This paper proposes a microgrid planning model considering the uncertainty of renewable generation profile in daily operation. The proposed model aims to minimize the total cost including both the investment cost and operation cost for the candidate DERs during the project life. According to its specific structure, the problem is decomposed into an investment master problem and several operation subproblems. The uncertainty of renewable generation profile is considered in the subproblems. The microgrid planning problem is finally formulated as a robust optimization problem, and it is solved under the framework of column-and-constraint generation (CCG). The subproblem examines the optimality of the master problem by calculating the worst-case optimal operation under uncertainty. Corresponding cuts will be generated and augmented into the master problem in the iterations. The developed model is tested on a microgrid system. Simulation indicates that the proposed model is effective to make an optimal deployment of DERs considering the uncertainty of renewable generation profile.
KW - column-and-constraint generation(CC&G)
KW - microgrid planning
KW - renewable generation profile
KW - uncertainty
UR - http://www.scopus.com/inward/record.url?scp=85070308332&partnerID=8YFLogxK
U2 - 10.1109/CIEEC.2018.8745939
DO - 10.1109/CIEEC.2018.8745939
M3 - Conference Proceeding
AN - SCOPUS:85070308332
T3 - Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018
SP - 34
EP - 39
BT - Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Electrical and Energy Conference, CIEEC 2018
Y2 - 4 November 2018 through 6 November 2018
ER -