Risk-based planning of the distribution network structure considering uncertainties in demand and cost of energy

Technical and financial uncertainties may put distribution system planning at risk. In this paper, a new risk-based planning method is proposed which pays more attention to low-probability and high consequences events in energy supplying systems. The proposed approach is adopted for determining the optimal structure of a Medium Voltage network where risk-based determination of the radial network structures is implemented through an uncertainty model of the system's variables based on discrete states, called scenarios. The cost of distribution system planning consists of investment cost, maintenance cost, power losses cost, reliability cost, and technical risk cost. In this paper, appropriate models are proposed to consider the monetary effects of technical risks. The proposed approach is applied to a test system consisting of 52 electric load points and two substations. It is observed that the proposed risk-based method for planning the optimal network structure can properly reduce the cost of extreme events, therefore reducing the concerns of distribution system operators about these possible situations.

[1]  Vijay Vittal,et al.  Increasing thermal rating by risk analysis , 1999 .

[2]  H. A. Shayanfar,et al.  Sizing and placement of distribution substations considering optimal loading of transformers , 2015 .

[3]  Ali Reza Seifi,et al.  Considering cost and reliability in electrical and thermal distribution networks reinforcement planning , 2015 .

[4]  E. Bompard,et al.  Convergence of the backward/forward sweep method for the load-flow analysis of radial distribution systems , 2000 .

[5]  Eric S. Fraga,et al.  An energy integrated, multi-microgrid, MILP (mixed-integer linear programming) approach for residential distributed energy system planning – A South Australian case-study , 2015 .

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

[7]  Tetsuya Wakui,et al.  Optimization of energy supply systems by MILP branch and bound method in consideration of hierarchical relationship between design and operation , 2015 .

[8]  Swapan Kumar Goswami.  Distribution system planning using branch exchange technique , 1997 .

[9]  Ahad Kazemi,et al.  Risk-based planning of distribution substation considering technical and economic uncertainties , 2016 .

[10]  N. C. Sahoo,et al.  A fuzzy genetic approach for network reconfiguration to enhance voltage stability in radial distribution systems , 2006 .

[11]  Hamed Hashemi-Dezaki,et al.  Risk management of smart grids based on managed charging of PHEVs and vehicle-to-grid strategy using Monte Carlo simulation , 2015 .

[12]  J.D. McCalley,et al.  Power System Risk Assessment and Control in a Multiobjective Framework , 2009, IEEE Transactions on Power Systems.

[13]  Hsiao-Dong Chiang,et al.  Optimal network reconfigurations in distribution systems. II. Solution algorithms and numerical results , 1990 .

[14]  Yuan Li,et al.  Risk-Based Allocation of Distribution System Maintenance Resources , 2008, IEEE Transactions on Power Systems.

[15]  Lennart Söder,et al.  Risk-based method for distribution system reliability investment decisions under performance-based regulation , 2011 .

[16]  A. M. Cossi,et al.  Planning of secondary distribution circuits through evolutionary algorithms , 2005, IEEE Transactions on Power Delivery.

[17]  Jamshid Aghaei,et al.  Risk based multiobjective generation expansion planning considering renewable energy sources , 2013 .

[18]  Kashem M. Muttaqi,et al.  Distribution expansion planning considering reliability and security of energy using modified PSO (Particle Swarm Optimization) algorithm , 2014 .

[19]  Arindam Ghosh,et al.  Optimal integrated planning of MV-LV distribution systems using DPSO , 2011 .

[20]  H. A. Shayanfar,et al.  Multistage distribution substations planning considering reliability and growth of energy demand , 2015 .

[21]  Ahmed Yousuf Saber,et al.  Resource Scheduling Under Uncertainty in a Smart Grid With Renewables and Plug-in Vehicles , 2012, IEEE Systems Journal.

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

[23]  M. W. Gustafson,et al.  Approximating the system losses equation (power systems) , 1989 .

[24]  Mahmoud-Reza Haghifam,et al.  Long term distribution network planning considering urbanity uncertainties , 2012 .

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

[26]  A.E. Emanuel,et al.  Induction motor thermal aging caused by voltage distortion and imbalance: loss of useful life and its estimated cost , 2001, 2001 IEEE Industrial and Commercial Power Systems Technical Conference. Conference Record (Cat. No.01CH37226).