Decomposition method for coordinated planning of distributed generation and distribution network. Issue 20 (19th June 2018)

• Record Type: Journal Article
• Authors: Wu, Zhi; Liu, Yafei; Gu, Wei; Zhou, Jingjing; Li, Junjie; Liu, Pengxiang
• Is Part Of: IET generation, transmission & distribution. Volume 12:Issue 20(2018)
• Page Start: 4482
• Page End: 4491
• Publication Date: 2018-06-19
• Subjects: distributed power generation -- power generation planning -- power distribution planning -- integer programming -- convex programming -- minimisation -- static VAr compensators -- graph theory; decomposition method -- coordinated planning -- distributed generation -- distribution network expansion planning problem -- renewable energy -- multistage coordinate planning model -- construction cost minimisation -- operating cost minimisation -- planning horizon -- static var generators -- large‐scale mixed‐integer second‐order conic programming problem -- large‐scale MISOCP problem -- construction plan -- network configurations -- load levels -- modified Benders decomposition method -- valid cuts generation -- 24‐node distribution system -- integrated DSEP problem; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2017.2050
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : With recent development on renewable energy and distributed generation (DG), distribution system expansion planning (DSEP) problem is facing more challenges. This study proposed a multistage coordinate planning model to minimise the present value of construction cost and operating cost over the planning horizon. Installation of DGs, static var generators, and expansion of distribution network were considered simultaneously. The proposed model is a large‐scale mixed‐integer second‐order conic programming (MISOCP) problem containing large amounts of constraints and variables. The MISOCP can be decomposed into: (i) the master problem which determines the construction plan, (ii) and many subproblems which optimise the operating states under different network configurations and different load levels. A modified Benders decomposition method was applied to generate valid cuts from subproblems with integer variables. Results of the proposed decomposition method were compared with those obtained by commercial software on a 24‐node distribution system. Numerical experiments showed that the proposed method can solve the integrated DSEP problem efficiently.