Optimal Reactive Power Dispatch Considering Reactive Power Support from Renewable Energy Generators

Due to integration of large amount of renewable energy generators (REGs) to the power grid, implementation of reactive power support mechanisms as well as their optimal placement and operation are becoming a real challenge for the transmission/distribution system operators. Besides, because of the stochastic nature of renewable energy generation, reactive power planning and optimization in renewable rich power grids are an arduous task. In this paper, an optimal reactive power dispatch problem is formulated incorporating the reactive power support from the renewable energy generators. Two coordinated optimization algorithms (particle swarm optimization and pattern search algorithm) are combined to enhance the optimization performance. Finally, the IEEE 39 New England test bus system is modified and used to perform the optimization.

[1]  D. Hill,et al.  Voltage stability indices for stressed power systems , 1993 .

[2]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[3]  Tao Jiang,et al.  A volt-var optimal control for power system integrated with wind farms considering the available reactive power from EV chargers , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[4]  Hong-Tzer Yang,et al.  MF-APSO-Based Multiobjective Optimization for PV System Reactive Power Regulation , 2015, IEEE Transactions on Sustainable Energy.

[5]  Avinash Kumar Sinha,et al.  A comparative study of voltage stability indices in a power system , 2000 .

[6]  Yigang He,et al.  The reactive power optimization of distribution network based on wind power output scenario and complete-bus load , 2016, 2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS).

[7]  Fangxing Li,et al.  Reactive Power Planning Based on Fuzzy Clustering, Gray Code, and Simulated Annealing , 2011, IEEE Transactions on Power Systems.

[8]  Manoj Datta,et al.  Reactive Power Management in Renewable Rich Power Grids: A Review of Grid-Codes, Renewable Generators, Support Devices, Control Strategies and Optimization Algorithms , 2018, IEEE Access.

[9]  Lasantha Gunaruwan Meegahapola,et al.  Optimal allocation of distributed reactive power resources under network constraints for system loss minimization , 2011, 2011 IEEE Power and Energy Society General Meeting.

[10]  Lutz Hofmann,et al.  Optimal reactive power management for transmission connected distribution grid with wind farms , 2016, 2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia).

[11]  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.

[12]  B. Stott,et al.  Further developments in LP-based optimal power flow , 1990 .

[13]  Q. Henry Wu,et al.  Application of evolutionary programming to optimal reactive power dispatch , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

[14]  Abbas Rabiee,et al.  Optimal reactive power dispatch: a review, and a new stochastic voltage stability constrained multi-objective model at the presence of uncertain wind power generation , 2017 .

[15]  K. Lee,et al.  A United Approach to Optimal Real and Reactive Power Dispatch , 1985, IEEE Transactions on Power Apparatus and Systems.

[16]  Alberto Berizzi,et al.  A second order cone based relaxation and decomposition algorithm for multi-period reactive power optimization considering uncertain PV integration in active distribution networks , 2017, 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

[17]  Hui Li,et al.  Reactive Power Compensation and Optimization Strategy for Grid-Interactive Cascaded Photovoltaic Systems , 2015, IEEE Transactions on Power Electronics.

[18]  E. Vittal,et al.  Voltage security constrained reactive power optimization incorporating wind generation , 2012, 2012 IEEE International Conference on Power System Technology (POWERCON).

[19]  Chuangxin Guo,et al.  A multiagent-based particle swarm optimization approach for optimal reactive power dispatch , 2005 .

[20]  S. Tso,et al.  An Extended Nonlinear Primal-Dual Interior-Point Algorithm for Reactive-Power Optimization of Large-Scale Power Systems with Discrete Control Variables , 2002, IEEE Power Engineering Review.

[21]  Chaohua Dai,et al.  Seeker Optimization Algorithm for Optimal Reactive Power Dispatch , 2009, IEEE Transactions on Power Systems.

[22]  A. Padilha-Feltrin,et al.  Comparison of reactive power support in distribution networks provided by Capacitor Banks and distributed generators , 2011, 2011 IEEE Power and Energy Society General Meeting.

[23]  Taher Niknam,et al.  Multiobjective Optimal Reactive Power Dispatch and Voltage Control: A New Opposition-Based Self-Adaptive Modified Gravitational Search Algorithm , 2013 .

[24]  Y. L. Chen,et al.  Multi-objective VAr planning for large-scale power systems using projection-based two-layer simulated annealing algorithms , 2004 .

[25]  Kwang Y. Lee,et al.  Optimization method for reactive power planning by using a modified simple genetic algorithm , 1995 .

[26]  Moncef Gabbouj,et al.  Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition , 2013, Adaptation, learning, and optimization.

[27]  R. Adapa,et al.  The quadratic interior point method solving power system optimization problems , 1994 .

[28]  M. Pai Energy function analysis for power system stability , 1989 .

[29]  Zhe Chen,et al.  Dynamic Reactive Power Compensation of Large-Scale Wind Integrated Power System , 2015, IEEE Transactions on Power Systems.

[30]  Naser Mahdavi Tabatabaei,et al.  Reactive Power Optimization in AC Power Systems , 2017 .

[31]  Ali Abur,et al.  Voltage Control in Active Distribution Networks Under Uncertainty in the System Model: A Robust Optimization Approach , 2018, IEEE Transactions on Smart Grid.

[32]  C. Reis,et al.  A comparison of voltage stability indices , 2006, MELECON 2006 - 2006 IEEE Mediterranean Electrotechnical Conference.