Real time voltage control using emergency demand response in distribution system by integrating advanced metering infrastructure

In this paper, an analytical study is reported to demonstrate the effects of demand response on distribution network voltages profile. Also, a new approach for real time voltage control is proposed which uses emergency demand response program aiming at maintaining voltage profile in an acceptable range with minimum cost. This approach will be active in emergency conditions where, in real time, the voltages in some nodes leave their permissible ranges. These emergency conditions are Distributed Generation (DG) units and lines outage, and unpredictable demand and renewable generations' fluctuations. The proposed approach does not need the load and renewable generation forecast data to regulate voltage. To verify the effectiveness and robustness of the proposed control scheme, the proposed voltage control scheme is tested on a typical distribution network. The simulation results show the effectiveness and capability of the proposed real time voltage control model to maintain smart distribution network voltag...

[1]  Taher Niknam,et al.  A practical multi-objective PSO algorithm for optimal operation management of distribution network with regard to fuel cell power plants , 2011 .

[2]  Taher Niknam,et al.  A new approach based on ant colony optimization for daily Volt/Var control in distribution networks considering distributed generators , 2008 .

[3]  Shahram Jadid,et al.  Multi-objective scheduling of electric vehicles in smart distribution system , 2014 .

[4]  Hui Li,et al.  Coordinated Control of Distributed Energy Storage System With Tap Changer Transformers for Voltage Rise Mitigation Under High Photovoltaic Penetration , 2012, IEEE Transactions on Smart Grid.

[5]  Magdy M. A. Salama,et al.  Novel Coordinated Voltage Control for Smart Distribution Networks With DG , 2011, IEEE Transactions on Smart Grid.

[6]  Jignesh Solanki,et al.  Residential Demand Response model and impact on voltage profile and losses of an electric distribution network , 2012 .

[7]  Zhenyuan Wang,et al.  Toward smart distribution management by integrating advanced metering infrastructure , 2013 .

[8]  Wenpeng Luan,et al.  Achieving greater VVO benefits through AMI implementation , 2011, 2011 IEEE Power and Energy Society General Meeting.

[9]  Alberto Borghetti,et al.  Using mixed integer programming for the volt/var optimization in distribution feeders , 2013 .

[10]  T. Funabashi,et al.  Optimal Distribution Voltage Control and Coordination With Distributed Generation , 2008, IEEE Transactions on Power Delivery.

[11]  Young-Jin Kim,et al.  Coordinated Control of a DG and Voltage Control Devices Using a Dynamic Programming Algorithm , 2013, IEEE Transactions on Power Systems.

[12]  Jose Medina,et al.  Demand Response and Distribution Grid Operations: Opportunities and Challenges , 2010, IEEE Transactions on Smart Grid.

[13]  T. Niknam,et al.  Scenario-Based Multiobjective Volt/Var Control in Distribution Networks Including Renewable Energy Sources , 2012, IEEE Transactions on Power Delivery.

[14]  Shahram Jadid,et al.  Smart microgrid operational planning considering multiple demand response programs , 2014 .

[15]  Taher Niknam,et al.  Probabilistic approach to multi-objective Volt/Var control of distribution system considering hybrid fuel cell and wind energy sources using Improved Shuffled Frog Leaping Algorithm , 2012 .

[16]  M. Parsa Moghaddam,et al.  Modeling and prioritizing demand response programs in power markets , 2010 .

[17]  E T Jauch.  Possible effects of smart grid functions on LTC transformers , 2010, REPC 2010.

[18]  Taher Niknam,et al.  Multi-objective daily operation management of distribution network considering fuel cell power plants , 2011 .

[19]  D. Kirschen,et al.  Factoring the elasticity of demand in electricity prices , 2000 .

[20]  Taher Niknam,et al.  A new fuzzy adaptive particle swarm optimization for daily Volt/Var control in distribution networks considering distributed generators , 2010 .

[21]  Magdy M. A. Salama,et al.  Decentralized Reactive Power Control for Advanced Distribution Automation Systems , 2012, IEEE Transactions on Smart Grid.

[22]  Shahram Jadid,et al.  A new approach for real time voltage control using demand response in an automated distribution system , 2014 .

[23]  Shahram Jadid,et al.  Stochastic multi-objective operational planning of smart distribution systems considering demand response programs , 2014 .

[24]  Aqeel Ahmed Bazmi,et al.  Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review , 2011 .

[25]  K. M. Muttaqi,et al.  Online Voltage Control in Distribution Systems With Multiple Voltage Regulating Devices , 2014, IEEE Transactions on Sustainable Energy.

[26]  Taher Niknam,et al.  A probabilistic multi-objective daily Volt/Var control at distribution networks including renewable , 2011 .

[27]  M. P. Moghaddam,et al.  Flexible demand response programs modeling in competitive electricity markets , 2011 .

[28]  Weiwei Miao,et al.  Online voltage security assessment considering comfort-constrained demand response control of distributed heat pump systems , 2012 .

[29]  Yu-Kai Chen,et al.  Volt/Var control in a distribution system by a fuzzy optimization approach , 2011 .

[30]  Taher Niknam,et al.  A new HBMO algorithm for multiobjective daily Volt/Var control in distribution systems considering Distributed Generators , 2011 .

[31]  Alireza Zakariazadeh,et al.  Real-time voltage control algorithm with switched capacitors in smart distribution system in presence of renewable generations , 2014 .