TY - GEN
T1 - Joint transmission expansion planning and energy storage placement in smart grid towards efficient integration of renewable energy
AU - Hedayati, Mojgan
AU - Zhang, Junshan
AU - Hedman, Kory
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/7/23
Y1 - 2014/7/23
N2 - This paper investigates the integration of renewable energy resources in power systems, using bulk energy storage technologies as well as transmission system capacity expansion. A joint transmission expansion planning and energy storage placement is proposed to satisfy the requirements of a power system model with wind farm generation. The problem is formulated as a multistage mixed integer programming problem, aiming to minimize the total investment and operational costs incurred for integrating wind generation. The operating cost captures the benefits subject to the planning decisions. Based on the DC power flow model, the optimal planning is presented, which strikes a balance between the system expansion cost and the operational cost. By leveraging the properties of the proposed optimization problem, the formulated problem is transformed into a linear mixed integer program. Numerical studies, using the modified Roy Billinton Test System (RBTS) and IEEE Reliability Test System (RTS), explore the proposed optimization method and compare the central and distributed energy storage schemes. The results demonstrate the significant benefits of the proposed approach.
AB - This paper investigates the integration of renewable energy resources in power systems, using bulk energy storage technologies as well as transmission system capacity expansion. A joint transmission expansion planning and energy storage placement is proposed to satisfy the requirements of a power system model with wind farm generation. The problem is formulated as a multistage mixed integer programming problem, aiming to minimize the total investment and operational costs incurred for integrating wind generation. The operating cost captures the benefits subject to the planning decisions. Based on the DC power flow model, the optimal planning is presented, which strikes a balance between the system expansion cost and the operational cost. By leveraging the properties of the proposed optimization problem, the formulated problem is transformed into a linear mixed integer program. Numerical studies, using the modified Roy Billinton Test System (RBTS) and IEEE Reliability Test System (RTS), explore the proposed optimization method and compare the central and distributed energy storage schemes. The results demonstrate the significant benefits of the proposed approach.
KW - Energy storage modeling
KW - Mixed integer linear programming
KW - Storage unit placement
KW - Transmission expansion planning
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M3 - Conference contribution
AN - SCOPUS:84908428762
T3 - Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference
BT - Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2014
Y2 - 14 April 2014 through 17 April 2014
ER -