Network Distributed Generation Capacity Analysis Using OPF With Voltage Step Constraints

The capacity of distributed generation (DG) connected in distribution networks is increasing, largely as part of the drive to connect renewable energy sources. The voltage step change that occurs on the sudden disconnection of a distributed generator is one of the areas of concern for distribution network operators in determining whether DG can be connected, although there are differences in utility practice in applying limits. To explore how voltage step limits influence the amount of DG that can be connected within a distribution network, voltage step constraints have been incorporated within an established optimal power flow (OPF) based method for determining the capacity of the network to accommodate DG. The analysis shows that strict voltage step constraints have a more significant impact on ability of the network to accommodate DG than placing the same bound on voltage rise. Further, it demonstrates that progressively wider step change limits deliver a significant benefit in enabling greater amounts of DG to connect.

[1]  Yasuhiro Hayashi,et al.  Application of tabu search to optimal placement of distributed generators , 2001, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[2]  Gareth Harrison,et al.  MAXIMISATION OF INTERMITTENT DISTRIBUTED GENERATION IN ACTIVE NETWORKS , 2008 .

[3]  Janusz Bialek,et al.  A combinational mechanism for generation capacity and network reinforcement planning , 2007 .

[4]  L.A. Kojovic,et al.  Summary of Distributed Resources Impact on Power Delivery Systems , 2008, IEEE Transactions on Power Delivery.

[5]  A. Keane,et al.  Optimal allocation of embedded generation on distribution networks , 2005, IEEE Transactions on Power Systems.

[6]  D. Zhu,et al.  Impact of DG placement on reliability and efficiency with time-varying loads , 2006, IEEE Transactions on Power Systems.

[7]  L.F. Ochoa,et al.  Time-series based maximization of distributed wind power generation integration , 2012 .

[8]  N. S. Rau,et al.  Optimum location of resources in distributed planning , 1994 .

[9]  A. Berizzi,et al.  Distributed generation planning using genetic algorithms , 1999, PowerTech Budapest 99. Abstract Records. (Cat. No.99EX376).

[10]  R.C. Schaefer,et al.  Voltage versus VAr/power factor regulation on synchronous generators , 2002, Conference Record of the 2002 Annual Pulp and Paper Industry Technical Conference (Cat. No.02CH37352).

[11]  O. Alsac,et al.  Security analysis and optimization , 1987, Proceedings of the IEEE.

[12]  A. Girgis,et al.  Effect of distributed generation on protective device coordination in distribution system , 2001, LESCOPE 01. 2001 Large Engineering Systems Conference on Power Engineering. Conference Proceedings. Theme: Powering Beyond 2001 (Cat. No.01ex490).

[13]  Josef Kallrath,et al.  Modeling Languages in Mathematical Optimization , 2012 .

[14]  J.W. Bialek,et al.  Optimal power flow as a tool for fault level-constrained network capacity analysis , 2005, IEEE Transactions on Power Systems.

[15]  Walter G. Scott,et al.  Distributed Power Generation Planning and Evaluation , 2000 .

[16]  J.W. Bialek,et al.  Direct incorporation of fault level constraints in optimal power flow as a tool for network capacity analysis , 2005, IEEE Transactions on Power Systems.

[17]  G.P. Harrison,et al.  Centralized and Distributed Voltage Control: Impact on Distributed Generation Penetration , 2007, IEEE Transactions on Power Systems.

[18]  R. Ramakumar,et al.  An approach to quantify the technical benefits of distributed generation , 2004, IEEE Transactions on Energy Conversion.

[19]  Caisheng Wang,et al.  Analytical approaches for optimal placement of distributed generation sources in power systems , 2004, IEEE Transactions on Power Systems.

[20]  M. O'Malley,et al.  Optimal Utilization of Distribution Networks for Energy Harvesting , 2007, IEEE Transactions on Power Systems.

[21]  Roger C. Dugan,et al.  Planning for distributed generation , 2001 .

[22]  Pierluigi Siano,et al.  Hybrid GA and OPF evaluation of network capacity for distributed generation connections , 2008 .

[23]  P.P. Barker,et al.  Determining the impact of distributed generation on power systems. I. Radial distribution systems , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).

[24]  Fabrizio Giulio Luca Pilo,et al.  Optimal distributed generation allocation in MV distribution networks , 2001, PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 22nd IEEE Power Engineering Society. International Conference on Power Industry Computer Applications (Cat. No.01CH37195).

[25]  B. Kuri,et al.  Optimisation of rating and positioning of dispersed generation with minimum network disruption , 2004, IEEE Power Engineering Society General Meeting, 2004..

[26]  C. L. Masters Voltage rise: the big issue when connecting embedded generation to long 11 kV overhead lines , 2002 .

[27]  Nadarajah Mithulananthan,et al.  AN ANALYTICAL APPROACH FOR DG ALLOCATION IN PRIMARY DISTRIBUTION NETWORK , 2006 .

[28]  A. R. Wallace,et al.  Optimal power flow evaluation of distribution network capacity for the connection of distributed generation , 2005 .

[29]  L.F. Ochoa,et al.  Evaluating distributed generation impacts with a multiobjective index , 2006, IEEE Transactions on Power Delivery.

[30]  J. R. McDonald,et al.  Planning for distributed generation within distribution networks in restructured electricity markets , 2000 .

[31]  Jiuping Pan,et al.  Siting distributed generation to defer T&D expansion , 2001, 2001 IEEE/PES Transmission and Distribution Conference and Exposition. Developing New Perspectives (Cat. No.01CH37294).

[32]  Gareth Harrison,et al.  Efficient secure AC OPF for distributed generation uptake maximisation , 2008 .