Distributed generation, reactive sources and network-configuration planning for power and energy-loss reduction

Taking account of the mutual impacts of distributed generation, reactive power and network-configuration planning, a new and more comprehensive distributed-generation-planning problem including simultaneous distributed generation, reactive sources and network configuration planning is defined. By solving this problem the amount of distributed-generation resources (DGRs) and reactive-power sources (RPSs) in selected buses of a distribution system, are determined taking account of their outputs at different load levels, tap positions of voltage regulators (VRs) and the status of sectionalising switches, in order to minimise the cost of power, energy losses and the total required reactive power subjected to a given total of distributed generation. Since the defined planning problem is a combinatorial one, a solution algorithm based on tabu search, that is an efficient heuristic method to a combinatorial-optimisation problem, is proposed. Various memory structures including short-, intermediate- and long-term memories have been implemented in the algorithm. The method has been tested on 33-bus and 69-bus radial distribution systems to demonstrate the performance of the algorithm and to investigate impact of some parameters such as maximum limits on size of DGRs (RPSs), constant or controllable outputs of these sources and different control variables sets on results of system planning. In addition, a novel technique for determining the candidate buses to install active (reactive) sources based on clustering system buses in view of assigning DGRs (RPSs) is presented.

[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]  F. Pilo,et al.  A multiobjective evolutionary algorithm for the sizing and siting of distributed generation , 2005, IEEE Transactions on Power Systems.

[3]  S. Kannan,et al.  Application and comparison of metaheuristic techniques to generation expansion planning problem , 2005, IEEE Transactions on Power Systems.

[4]  Whei-Min Lin,et al.  An Improved Tabu Search for Economic Dispatch with Multiple Minima , 2002, IEEE Power Engineering Review.

[5]  A.G. Martins,et al.  A multiobjective model for VAR planning in radial distribution networks based on tabu search , 2005, IEEE Transactions on Power Systems.

[6]  R. Romero,et al.  Tabu search algorithm for network synthesis , 2000 .

[7]  M.E. de Oliveira,et al.  Network reconfiguration and loss allocation for distribution systems with distributed generation , 2004, 2004 IEEE/PES Transmision and Distribution Conference and Exposition: Latin America (IEEE Cat. No. 04EX956).

[8]  Jae-Chul Kim,et al.  Network reconfiguration at the power distribution system with dispersed generations for loss reduction , 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

[9]  Fabrizio Giulio Luca Pilo,et al.  MV network planning under uncertainties on distributed generation penetration , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).

[10]  Hiroyuki Mori,et al.  A parallel tabu search based approach to optimal network reconfigurations for service restoration in distribution systems , 2002, Proceedings of the International Conference on Control Applications.

[11]  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).

[12]  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).

[13]  Felix F. Wu,et al.  Network reconfiguration in distribution systems for loss reduction and load balancing , 1989 .

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

[15]  V. Ganapathy,et al.  Network reconfiguration for enhancement of voltage stability in distribution networks , 2000 .

[16]  I. Roytelman,et al.  Coordinated local and centralized control in distribution management systems , 2000 .

[17]  Ruben Romero,et al.  Optimal Capacitor Placement in Radial Distribution Networks , 2001 .

[18]  M. E. Baran,et al.  Optimal capacitor placement on radial distribution systems , 1989 .

[19]  J. Matsuki,et al.  Loss minimum configuration of distribution system considering N-1 security of dispersed generators , 2004, IEEE Transactions on Power Systems.