Optimal Allocation of Static Var Compensator via Mixed Integer Conic Programming

Conference · Sat Dec 31 23:00:00 EST 2016

OSTI ID:1361380

Zhang, Xiaohu ^[1]; Shi, Di ^[2]; Wang, Zhiwei ^[2]; Huang, Junhui ^[2]; Wang, Xu ^[2]; Liu, Guodong ^[1]; Tomsovic, Kevin ^[3]

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1. ORNL
2. Global Energy Interconnection Research Institute North America (GEIRI North America), California
3. University of Tennessee, Knoxville (UTK)

Shunt FACTS devices, such as, a Static Var Compensator (SVC), are capable of providing local reactive power compensation. They are widely used in the network to reduce the real power loss and improve the voltage profile. This paper proposes a planning model based on mixed integer conic programming (MICP) to optimally allocate SVCs in the transmission network considering load uncertainty. The load uncertainties are represented by a number of scenarios. Reformulation and linearization techniques are utilized to transform the original non-convex model into a convex second order cone programming (SOCP) model. Numerical case studies based on the IEEE 30-bus system demonstrate the effectiveness of the proposed planning model.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1361380
• Country of Publication: United States
• Language: English