none 10.1049/joe.2017.0602 Institution of Engineering and Technology (IET) Institution of Engineering and Technology (IET) 265 95755311 219905 2025102806343900477 10.1049 2025-10-28T18:59:44Z 2018-01-10T21:35:31Z 4 The Journal of Engineering The Journal of Engineering 2051-3305 2051-3305 01 2017 2017 13 10.1049/tje2.v2017.13 https://ietresearch.onlinelibrary.wiley.com/toc/20513305/2017/13 Jia Liu Key Laboratory of Control of Power Transmission and Conversion of Ministry of Education Shanghai Jiao Tong University People's Republic of China Haozhong Cheng Key Laboratory of Control of Power Transmission and Conversion of Ministry of Education Shanghai Jiao Tong University People's Republic of China Qian Xu State Grid Zhejiang Electric Power Corporation Economic Research Institute People's Republic of China Zhou Lan State Grid Zhejiang Electric Power Corporation Economic Research Institute People's Republic of China Pingliang Zeng China Electric Power Research Institute People's Republic of China Liangzhong Yao China Electric Power Research Institute People's Republic of China This study proposes a stochastic optimisation model for interconnected distribution network planning (IDNP) in the presence of renewable sources (RSs) considering power transfer capability after an N − 1 contingency. Two types of scenarios, feeder contingency, and substation transformer contingency, are formulated in the IDNP problem. Uncertainties of the RS output and load fluctuation are also integrated. The planning method provides planners with the decisions of feeder reformation, new tie lines, new feeders, substation expansion, new substations and new load allocation. The IDNP model is a chance‐constrained mixed integer non‐linear programming problem, which is solved by dynamic niche differential evolution algorithm. A case study carried out on a modified 104‐bus distribution network demonstrates the effectiveness of those techniques. Compared with the traditional planning approach, the IDNP method could exploit asset utilisation by optimising existing networks efficiently as well as improve system economy and security simultaneously. 01 10 2018 01 2017 1600 1604 10.1049/joe.2017.0602 National Key Research and Development Program of China https://doi.org/10.13039/501100012166 2016YFB0900102 http://creativecommons.org/licenses/by/3.0/ 10.1049/joe.2017.0602 https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/joe.2017.0602 https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2017.0602 https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2017.0602 https://onlinelibrary.wiley.com/doi/full-xml/10.1049/joe.2017.0602 10.1109/TPWRD.2008.917916 10.1109/TPWRS.2012.2214406 10.1109/ISGTEurope.2012.6465700 deGrootR.J.W. MorrenJ. SlootwegJ.G.: ‘Smart integration of distribution automation applications’.Proc. IEEE PES Int. Conf. on Exhibition Berlin Germany October 2012 pp.1–7 10.1109/EEESym.2012.6258643 LiY.J. WangF.R.: ‘Implementation of smart grid software system based on configurable feeder terminal unit’.Proc. IEEE Symp. Electrical and Electronics Engineering Conf. Kuala Lumpur Malaysia June 2012 pp.277–280 10.1109/MPAE.2005.1507027 10.1109/TPWRD.2012.2209684 10.1049/ip-c.1986.0060 10.1109/TPWRD.2013.2258944 10.1109/TPWRS.2008.920047 10.1016/j.epsr.2013.07.016 10.1049/iet-gtd.2013.0115 J. Appl. Math. Xiao J. 1 2014 2014 10.1155/2014/327078 Model and topological characteristics of power distribution system security region 10.1109/TPWRS.2011.2161349 10.1016/j.ijepes.2013.03.016