Optimal Allocation of Reactive Power Compensators and Energy Storages in Microgrids Considering Uncertainty of Photovoltaics

Abstract The intermittence of DGs which challenges the voltage and power quality manifests the need for new planning and operation strategies for microgrids. Considering the uncertainty of PV output, the advantages of both reactive power compensators (RPC) and energy storages (ES) are investigated in this paper. With the objective to minimize the power loss of microgrids, the optimal allocations of RPCs and ESs are solved as an optimal power flow problem. Monte Carlo method is utilized to simulate the different scenarios of PV output with its probability. IEEE-33 system is implemented to investigate the effect of RPCs and ESs on the voltage mitigation and power loss reduction.

[1]  Hamidreza Zareipour,et al.  Probabilistic Power Flow by Monte Carlo Simulation With Latin Supercube Sampling , 2013, IEEE Transactions on Power Systems.

[2]  Hao Li,et al.  Research on the Voltage Distribution of Interconnected Distributed Network - Distributed Generation , 2011, 2011 Asia-Pacific Power and Energy Engineering Conference.

[3]  Jan T. Bialasiewicz,et al.  Power-Electronic Systems for the Grid Integration of Renewable Energy Sources: A Survey , 2006, IEEE Transactions on Industrial Electronics.

[4]  Y. M. Atwa,et al.  Optimal Allocation of ESS in Distribution Systems With a High Penetration of Wind Energy , 2010, IEEE Transactions on Power Systems.

[5]  Hossein Afrakhte,et al.  Effect of optimal placement and regulation of SSVR in microgrid island operation , 2014, 2014 19th Conference on Electrical Power Distribution Networks (EPDC).

[6]  Gerald Thomas Heydt,et al.  The Next Generation of Power Distribution Systems , 2010, IEEE Transactions on Smart Grid.

[7]  Suryanarayana Doolla,et al.  Multiagent-Based Distributed-Energy-Resource Management for Intelligent Microgrids , 2013, IEEE Transactions on Industrial Electronics.

[8]  Wei Yuan,et al.  A Two-Stage Robust Reactive Power Optimization Considering Uncertain Wind Power Integration in Active Distribution Networks , 2016, IEEE Transactions on Sustainable Energy.

[9]  Shan Gao,et al.  Reactive power planning with large-scale PV generation systems considering power fluctuation , 2015, 2015 IEEE Power & Energy Society General Meeting.

[10]  P. Bastard,et al.  Impact of energy storage costs on economical performance in a distribution substation , 2005, IEEE Transactions on Power Systems.

[11]  Ganga Agnihotri,et al.  Optimal placement of SVC for minimizing power loss and improving voltage profile using GA , 2014, 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT).

[12]  Steven H. Low,et al.  Branch Flow Model: Relaxations and Convexification—Part II , 2012 .

[13]  C. Cañizares,et al.  Probabilistic Optimal Power Flow in Electricity Markets Based on a Two-Point Estimate Method , 2006, IEEE Transactions on Power Systems.