A Multi-Objective Distribution System Expansion Planning Incorporating Customer Choices on Reliability

This paper proposes a new multi-objective framework for primary distribution system planning (DSP). Further consideration is devoted to early DSP formulations in order to assess the risk imposed by probabilistic customer choices on reliability (CCOR). The CCOR is a buy/sell strategy that permits customers to pay the electricity price equiponderant to the reliability level provided by the distribution utility over the contract period. A Monte Carlo-based simulation is carried out to examine the effects of the probability of a customer's interest in adopting the CCOR on profit-at-risk. Furthermore, the DSP was conducted to simultaneously minimize both total planning cost and profit-at-risk. The resultant optimization problem is solved through the non-dominated sorting genetic algorithm (NSGA-II) accompanied by a fuzzy decision making method to select the best result among the obtained Pareto optimal set of solutions. The developed method is applied to an actual large-scale distribution system with about 140 \thinspace000 customers, followed by a discussion on results.

[1]  Ariovaldo V. Garcia,et al.  A Constructive Heuristic Algorithm for Distribution System Planning , 2010, IEEE Transactions on Power Systems.

[2]  H.M. Khodr,et al.  Ant colony system algorithm for the planning of primary distribution circuits , 2004, IEEE Transactions on Power Systems.

[3]  N. G. Boulaxis,et al.  Optimal Feeder Routing in Distribution System Planning Using Dynamic Programming Technique and GIS Facilities , 2001, IEEE Power Engineering Review.

[4]  D. Das,et al.  Simple and efficient method for load flow solution of radial distribution networks , 1995 .

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

[6]  A. M. Cossi,et al.  Primary power distribution systems planning taking into account reliability, operation and expansion costs , 2012 .

[7]  Lingfeng Wang,et al.  Environmental/economic power dispatch using a fuzzified multi-objective particle swarm optimization algorithm , 2007 .

[8]  H. Monsef,et al.  Scheduling of Spinning Reserve Considering Customer Choice on Reliability , 2009, IEEE Transactions on Power Systems.

[9]  Sanjib Ganguly,et al.  Multi-objective particle swarm optimization based on fuzzy-Pareto-dominance for possibilistic planning of electrical distribution systems incorporating distributed generation , 2013, Fuzzy Sets Syst..

[10]  I. J. Ramírez-Rosado,et al.  New multiobjective tabu search algorithm for fuzzy optimal planning of power distribution systems , 2006, IEEE Transactions on Power Systems.

[11]  Vahid Vahidinasab,et al.  Multiobjective environmental/techno-economic approach for strategic bidding in energy markets , 2009 .

[12]  Ernest J. Henley,et al.  Probabilistic risk assessment : reliability engineering, design, and analysis , 1992 .

[13]  Hamid Lesani,et al.  Fault Indicator Deployment in Distribution Systems Considering Available Control and Protection Devices: A Multi-Objective Formulation Approach , 2014, IEEE Transactions on Power Systems.

[14]  G. Ledwich,et al.  Integrated Distribution Systems Planning to Improve Reliability Under Load Growth , 2012, IEEE Transactions on Power Delivery.

[15]  Hassan Monsef,et al.  A Hybrid Heuristic and Evolutionary Algorithm for Distribution Substation Planning , 2015, IEEE Systems Journal.

[16]  M. S. Sepasian,et al.  A Dynamic Approach for Distribution System Planning Considering Distributed Generation , 2012, IEEE Transactions on Power Delivery.

[17]  George Gross,et al.  Value of service reliability , 1990 .

[18]  Kalyanmoy Deb,et al.  Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.

[19]  Hassan Monsef,et al.  A hybrid heuristic and learning automata‐based algorithm for distribution substations siting, sizing and defining the associated service areas , 2014 .

[20]  S. R. Samantaray,et al.  A Direct Approach to Optimal Feeder Routing for Radial Distribution System , 2012, IEEE Transactions on Power Delivery.

[21]  A. Vahidnia,et al.  A Framework for Optimal Planning in Large Distribution Networks , 2009, IEEE Transactions on Power Systems.

[22]  J. Contreras,et al.  Distribution System Planning With Reliability , 2011, IEEE Transactions on Power Delivery.

[23]  Hossein Seifi,et al.  Electric Power System Planning , 2011 .

[24]  Michael J. Sullivan,et al.  Estimated Value of Service Reliability for Electric Utility Customers in the United States , 2009 .

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

[26]  Jose Roberto Sanches Mantovani,et al.  Multiobjective multistage distribution system planning using tabu search , 2014 .

[27]  Sanjib Ganguly,et al.  Multi-objective planning of electrical distribution systems using dynamic programming , 2013 .

[28]  Shahram Jadid,et al.  A fuzzy environmental-technical-economic model for distributed generation planning , 2011 .

[29]  I. J. Ramírez-Rosado,et al.  Possibilistic model based on fuzzy sets for the multiobjective optimal planning of electric power distribution networks , 2004, IEEE Transactions on Power Systems.

[30]  Kankar Bhattacharya,et al.  Comprehensive multi-year distribution system planning using back-propagation approach , 2013 .

[31]  Chanan Singh,et al.  Probabilistic Assessment of TTC in Power Systems Including Wind Power Generation , 2012, IEEE Systems Journal.

[32]  Hassan Monsef,et al.  Dynamic sub-transmission substation expansion planning using learning automata , 2013 .

[33]  M. Rider,et al.  Imposing Radiality Constraints in Distribution System Optimization Problems , 2012 .

[34]  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.