Zonal Voltage Control Combined Day-Ahead Scheduling and Real-Time Control for Distribution Networks with High Proportion of PVs

Considering the possible overvoltage caused by the high proportion of photovoltaic systems (PVs) accessing distribution networks in the future, traditional centralized control methods will be too complex to satisfy the control response time demands. To solve this problem this paper presents a two-level voltage control method. At the day-ahead level, based on the PV-output and load-demand forecast, a community detection algorithm using an improved modularity index is introduced to divide the distribution network into clusters; a day-ahead optimal scheduling is drawn up on the basis of the network partition, and the objective is to minimize the operation costs of the distribution networks. At the real-time level, under the day-ahead optimal scheduling and network partition of the upper level, a real-time optimal voltage control algorithm is proposed based on the real-time operation data of the distribution networks, and the objective is to correct the day-ahead optimal scheduling through modifications. Thus, the algorithm realizes the combination of day-ahead scheduling and real-time control and achieves complete zonal voltage control for future distribution networks with high proportion of PVs. The proposed method can not only optimize the tap operation of an on-load tap changer (OLTC), improving the PV hosting capacity of the distribution network for a high proportion of PVs, but can also reduce the number of control nodes and simplify the control process to reduce the optimization time. The proposed approach is applied to a real, practical, 10 kV, 62-node feeder in Zhejiang Province of China to verify its feasibility and effectiveness.

[1]  Gang Wang,et al.  Stochastic Reactive Power Management in Microgrids With Renewables , 2015 .

[2]  Bikash C. Pal,et al.  Distribution voltage control considering the impact of PV generation on tap changers and autonomous regulators , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

[3]  Hong-Tzer Yang,et al.  Over-voltage mitigation control strategies for distribution system with high PV penetration , 2015, 2015 18th International Conference on Intelligent System Application to Power Systems (ISAP).

[4]  Ding Min,et al.  A Review on the Effect of Large-scale PV Generation on Power Systems , 2014 .

[5]  Tomonobu Senjyu,et al.  Optimal voltage control in distribution systems using PV generators , 2011 .

[6]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[7]  Jeyraj Selvaraj,et al.  Global prospects, progress, policies, and environmental impact of solar photovoltaic power generation , 2015 .

[8]  B. Zhao,et al.  Improved particle swam optimization algorithm for OPF problems , 2004, IEEE PES Power Systems Conference and Exposition, 2004..

[9]  Yan Chen,et al.  Day-ahead optimal scheduling of PV inverters and OLTC in distribution feeders , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[10]  Luis F. Ochoa,et al.  Performance of OLTC-based control strategies for LV networks with photovoltaics , 2015, 2015 IEEE Power & Energy Society General Meeting.

[11]  Hao Chen,et al.  Inverter-Less Hybrid Voltage/Var Control for Distribution Circuits With Photovoltaic Generators , 2014, IEEE Transactions on Smart Grid.

[12]  Luca Fanucci,et al.  Predictive Diagnosis of High-Power Transformer Faults by Networking Vibration Measuring Nodes With Integrated Signal Processing , 2016, IEEE Transactions on Instrumentation and Measurement.

[13]  Luis F. Ochoa,et al.  Voltage Control of PV-Rich LV Networks: OLTC-Fitted Transformer and Capacitor Banks , 2016, IEEE Transactions on Power Systems.

[14]  Dionysios Aliprantis,et al.  Distributed Volt/VAr Control by PV Inverters , 2013, IEEE Transactions on Power Systems.

[15]  Brian Seal,et al.  Smart inverter volt/var control functions for high penetration of PV on distribution systems , 2011, 2011 IEEE/PES Power Systems Conference and Exposition.

[16]  Chao Gao,et al.  Voltage control in distribution networks using on-load tap changer transformers , 2013 .

[17]  E. Chanzy,et al.  Network partition for coordinated control in active distribution networks , 2013, 2013 IEEE Grenoble Conference.

[18]  Wang Li-juan Maximum Penetration of DG Based on Voltage Sensitivity , 2013 .

[19]  M E J Newman,et al.  Fast algorithm for detecting community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[20]  Sergio Saponara,et al.  Network Architecture, Security Issues, and Hardware Implementation of a Home Area Network for Smart Grid , 2012, J. Comput. Networks Commun..

[21]  Yang Wang,et al.  Adaptive Real Power Capping Method for Fair Overvoltage Regulation of Distribution Networks With High Penetration of PV Systems , 2014, IEEE Transactions on Smart Grid.

[22]  Sairaj V. Dhople,et al.  Optimal Dispatch of Photovoltaic Inverters in Residential Distribution Systems , 2013, IEEE Transactions on Sustainable Energy.

[23]  Chen Haoyong A Two-Layered Network Partitioning Approach for Optimal Reactive Power Dispatching , 2005 .

[24]  Patrick D. McDaniel,et al.  Security and Privacy Challenges in the Smart Grid , 2009, IEEE Security & Privacy.

[25]  Johan Driesen,et al.  Optimization control scheme utilizing small-scale distributed generators and OLTC distribution transformers , 2016 .

[26]  M E J Newman,et al.  Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[27]  B. Zhao,et al.  An improved particle swarm optimization algorithm for optimal reactive power dispatch , 2005, IEEE Power Engineering Society General Meeting, 2005.

[28]  Jay H. Lee,et al.  Model predictive control: Review of the three decades of development , 2011 .