New electricity distribution network planning approaches for integrating renewable

The electricity distribution business is experiencing a tremendous and challenging transformation. The use of renewable energy sources is moving generation from the top to the bottom of power systems, where traditionally only loads existed. Active demand, distribution energy-storage devices, and electric vehicles are going to change even more drastically the way the distribution system will be operated. Finally, several stakeholders will share the responsibility for system operation while they often pursue opposite objectives. In contrast to conventional approaches, modern distribution planning algorithms should emulate the new environment to produce expansion and strategic plans for guiding the evolution of system in times of financial restrictions. Probabilistic methods are necessary to capture the intrinsically stochastic behavior of renewable generation, whereas the multiobjective programming is recognized to be the most effective way for planning, transparently and objectively, the system evolution, taking into account the multiple needs of different stakeholders. Finally, the integration of smart grid operation within planning algorithms is the key point for a proper distribution planning that allows integrating renewable resources and minimizing the cost for new electrical infrastructures.

[1]  Robert Lasseter,et al.  Smart Distribution: Coupled Microgrids , 2011, Proceedings of the IEEE.

[2]  David Tse-Chi Wang,et al.  Modified GA and data envelopment analysis for multistage distribution network expansion planning under uncertainty , 2011, 2011 IEEE Power and Energy Society General Meeting.

[3]  Graham Ault,et al.  Multi-objective planning of distributed energy resources: A review of the state-of-the-art , 2010 .

[4]  Fabrizio Giulio Luca Pilo,et al.  Benefit assessment of energy storage for distribution network voltage regulation , 2012 .

[5]  Vladimiro Miranda,et al.  Probabilistic choice vs. risk analysis-conflicts and synthesis in power system planning , 1997 .

[6]  Graham Ault,et al.  Distribution System Planning in Focus , 2001 .

[7]  Mehdi Ehsan,et al.  A distribution network expansion planning model considering distributed generation options and techo-economical issues , 2010 .

[8]  P. Jarventausta,et al.  A case study of a voltage rise problem due to a large amount of distributed generation on a weak distribution network , 2003, 2003 IEEE Bologna Power Tech Conference Proceedings,.

[9]  Fabrizio Giulio Luca Pilo,et al.  Optimisation of embedded generation sizing and siting by using a double trade-off method , 2005 .

[10]  Pierluigi Mancarella,et al.  Distributed multi-generation: A comprehensive view , 2009 .

[11]  F. Pilo,et al.  Optimal reconfiguration of distribution networks according to the microgrid paradigm , 2005, 2005 International Conference on Future Power Systems.

[12]  A. Piccolo,et al.  Exploring the Tradeoffs Between Incentives for Distributed Generation Developers and DNOs , 2007, IEEE Transactions on Power Systems.

[13]  Carmen L. T. Borges,et al.  Multistage expansion planning for active distribution networks under demand and Distributed Generation uncertainties , 2012 .

[14]  Goran Strbac,et al.  Maximising penetration of wind generation in existing distribution networks , 2002 .

[15]  D. J. Hill,et al.  A New Strategy for Transmission Expansion in Competitive Electricity Markets , 2002, IEEE Power Engineering Review.

[16]  Guido Carpinelli,et al.  Decision theory criteria for medium voltage cable sizing in presence of nonlinear loads , 2001 .

[17]  Fabrizio Pilo,et al.  Optimal Coordination of Energy Resources With a Two-Stage Online Active Management , 2011, IEEE Transactions on Industrial Electronics.

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

[19]  Pieter Venemans,et al.  A method for the quantitative assesment of reliability of Smart Grids , 2012 .

[20]  Y. Sun,et al.  Probabilistic Reliability Evaluation for Distribution Systems with DER and Microgrids , 2006, 2006 International Conference on Probabilistic Methods Applied to Power Systems.

[21]  Emilio Ghiani,et al.  Comparison of planning alternatives for active distribution networks , 2012 .

[22]  Marco Laumanns,et al.  SPEA2: Improving the strength pareto evolutionary algorithm , 2001 .

[23]  A. El-Keib,et al.  A fuzzy branch and bound-based transmission system expansion planning for the highest satisfaction level of the decision maker , 2005, IEEE Transactions on Power Systems.

[24]  Fabrizio Giulio Luca Pilo,et al.  Probabilistic Optimization of MV Distribution Network in Presence of Distributed Generation , 2002 .

[25]  Pierluigi Siano,et al.  Assessing the strategic benefits of distributed generation ownership for DNOs , 2009 .

[26]  Lamine Mili,et al.  Power system and communication network co-simulation for smart grid applications , 2011, ISGT 2011.

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

[28]  Suresh K. Khator,et al.  Power distribution planning: a review of models and issues , 1997 .

[29]  Tomás Gómez,et al.  Impact of distributed generation on distribution investment deferral , 2006 .

[30]  Graham Ault,et al.  2002 FACTS Award Call for Nominations , 2002 .

[31]  Emilio Ghiani,et al.  Impact of ICT on the reliability of active distribution networks , 2012 .

[32]  F. Pilo,et al.  Improvement of reliability in active networks with intentional islanding , 2004, 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings.

[33]  Fabrizio Giulio Luca Pilo,et al.  Embedded Generation Planning under Uncertainty including Power Quality Issues , 2003 .

[34]  S. Baskar,et al.  Application of NSGA-II Algorithm to Generation Expansion Planning , 2009, IEEE Transactions on Power Systems.

[35]  Gianni Celli,et al.  Multi-Objective analysis of regulatory frameworks for Active Distribution Networks , 2011 .

[36]  Geoffrey Basil Leyland,et al.  Multi-objective optimisation applied to industrial energy problems , 2002 .

[37]  F. Pilo,et al.  Active distribution network reliability assessment with a pseudo sequential Monte Carlo method , 2011, 2011 IEEE Trondheim PowerTech.

[38]  F. Pilo,et al.  Optimal integration of energy storage in distribution networks , 2009, 2009 IEEE Bucharest PowerTech.

[39]  Geza Joos,et al.  A review of active distribution networks enabling technologies , 2010, IEEE PES General Meeting.

[40]  G. Carpinelli,et al.  Optimal allocation of dispersed generators, capacitors and distributed energy storage systems in distribution networks , 2010, 2010 Modern Electric Power Systems.

[41]  Marie-Cecile Alvarez-Herault,et al.  A Novel Hybrid Network Architecture to Increase DG Insertion in Electrical Distribution Systems , 2011, IEEE Transactions on Power Systems.

[42]  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).

[43]  Lennart Söder,et al.  Distributed generation : a definition , 2001 .

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

[45]  L.F. Ochoa,et al.  Evaluating Distributed Time-Varying Generation Through a Multiobjective Index , 2008, IEEE Transactions on Power Delivery.

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

[47]  D. Singh,et al.  Multiobjective Optimization for DG Planning With Load Models , 2009, IEEE Transactions on Power Systems.

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

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

[50]  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).

[51]  M.H.J. Bollen,et al.  Reliability of distribution networks with DER including intentional islanding , 2005, 2005 International Conference on Future Power Systems.

[52]  Fabrizio Giulio Luca Pilo,et al.  Survey on methods and tools for planning of ‘active’ distribution networks , 2012 .

[53]  R. Herman,et al.  A Practical Probabilistic Design Procedure for LV Residential Distribution Systems , 2008, IEEE Transactions on Power Delivery.

[54]  R.H.C. Takahashi,et al.  Electric Distribution Network Expansion Under Load-Evolution Uncertainty Using an Immune System Inspired Algorithm , 2007, IEEE Transactions on Power Systems.

[55]  M.J. Rider,et al.  Transmission Network Expansion Planning Considering Uncertainty in Demand , 2006, IEEE Transactions on Power Systems.

[56]  Lothar Thiele,et al.  Comparison of Multiobjective Evolutionary Algorithms: Empirical Results , 2000, Evolutionary Computation.

[57]  Filipe Joel Soares,et al.  Integration of Electric Vehicles in the Electric Power System , 2011, Proceedings of the IEEE.

[58]  W. El-khattam,et al.  Optimal investment planning for distributed generation in a competitive electricity market , 2004, IEEE Transactions on Power Systems.

[59]  G. Andersson,et al.  Energy hubs for the future , 2007, IEEE Power and Energy Magazine.

[60]  C. Borges,et al.  Active distribution network integrated planning incorporating distributed generation and load response uncertainties , 2011, 2012 IEEE Power and Energy Society General Meeting.

[61]  G. Platt,et al.  An introduction to multiobjective optimisation methods for decentralised power planning , 2009, 2009 IEEE Power & Energy Society General Meeting.

[62]  F. Pilo,et al.  Multi-objective programming for optimal DG integration in active distribution systems , 2010, IEEE PES General Meeting.

[63]  Fabrizio Giulio Luca Pilo,et al.  OPTIMAL PLANNING OF ACTIVE NETWORKS , 2008 .

[64]  N. Hatziargyriou,et al.  Microgrids: an overview of ongoing research, development, anddemonstration projects , 2007 .

[65]  Nada Golmie,et al.  Modeling Smart Grid Applications with Co-Simulation , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[66]  Graham Ault,et al.  Multi-objective planning framework for stochastic and controllable distributed energy resources , 2009 .

[67]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[68]  Gianni Celli,et al.  Distribution network interconnection for facilitating the diffusion of Distributed Generation , 2005 .

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