A bi-level programming method for transmission planning with large-scale intermittent generations considering stochastic optimal power flow

The Grid-connection of large-scale intermittent generations brings new challenges to transmission networks (TN). Based on the analysis of life cycle cost (LCC) of TN, taking TN planning as the main decision issue and reliability assessment as a sub-issue, a master-slave relationship of hierarchical decision is formed. Using the multilayer programming theory, a bi-level programming model of TN is proposed. The upper level aims at the optimal LCC and generates a planning scheme. Considering the uncertainties of intermittent generation outputs, loads and line outages, a linear dc stochastic optimal power flow model (SOPF) is formulated to assess the reliability of the generated scheme on lower level. Hybrid algorithm combined an improved deferential evolution algorithm, three-point estimate method and linear programming is adopted to solve the proposed model. Results of 18-bus system show feasibility and validity of proposed method.

[1]  J.H. Zhang,et al.  A Chance Constrained Transmission Network Expansion Planning Method With Consideration of Load and Wind Farm Uncertainties , 2009, IEEE Transactions on Power Systems.

[2]  Haozhong Cheng,et al.  Life Cycle Cost estimate of power system planning , 2010, 2010 International Conference on Power System Technology.

[3]  Chun-Lien Su,et al.  Probabilistic load-flow computation using point estimate method , 2005 .

[4]  Wang Weisheng,et al.  Flexible planning of transmission system with large wind farm based on multi-scenario probability , 2009 .

[5]  Kit Po Wong,et al.  Flexible Transmission Network Planning Considering Distributed Generation Impacts , 2011, IEEE Transactions on Power Systems.

[6]  Jianhua Zhang,et al.  LIFE cycle cost of planning and design of ±660kV DC transmission lines , 2009 .

[7]  J. Morales,et al.  Point Estimate Schemes to Solve the Probabilistic Power Flow , 2007, IEEE Transactions on Power Systems.

[8]  Taher Niknam,et al.  Multi-Objective Stochastic Distribution Feeder Reconfiguration in Systems With Wind Power Generators and Fuel Cells Using the Point Estimate Method , 2013, IEEE Transactions on Power Systems.

[9]  Zhang Li.  Transmission Network Bi-level Programming Model Considering Economy and Reliability and Hybrid Algorithm , 2008 .

[10]  C. Cañizares,et al.  Probabilistic Optimal Power Flow in Electricity Markets Based on a Two-Point Estimate Method , 2006, IEEE Transactions on Power Systems.

[11]  Chun-Lien Su.  Probabilistic load-flow computation using point estimate method , 2005, IEEE Transactions on Power Systems.

[12]  Gao Ci-wei,et al.  ELECTRIC POWER NETWORK FLEXIBLE PLANNING MODEL BASED ON THE PROBABILITY OF SCENE OCCURRENCE , 2004 .

[13]  Hong Fan,et al.  Transmission Network Expansion Planning under Improved Genetic Algorithm , 2011 .

[14]  Chan-Nan Lu,et al.  Two-point estimate method for quantifying transfer capability uncertainty , 2005, IEEE Transactions on Power Systems.

[15]  V. S. K. Murthy Balijepalli,et al.  A Holistic Approach for Transmission System Expansion Planning Studies: An Indian Experience , 2011, IEEE Systems Journal.

[16]  X. Wang,et al.  Modern power system planning , 1994 .

[17]  Gu Jie.  Application of Mixed Genetic Simulated Annealing Algorithms in Electric Network Planning , 1999 .

[18]  Ma,et al.  Multi-objective Transmission Expansion Planning Considering Life Cycle Cost , 2012 .