混合输配电系统的分布式随机优化规划

doi:10.19595/j.cnki.1000-6753.tces.180330

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Abstract The high penetration of renewable energy sources is a main feature of future power systems, which causes the flexible bi-directional power and energy flows, and improves the coupled properties of physical connection between transmission and distribution systems. This paper presented a distributed stochastic optimal planning method for hybrid transmission and distribution systems. With the consideration of uncertainties related to renewable energy sources and load injection, the coordinated transmission and distribution optimal planning problem was decomposed into a transmission planning subproblem and a series of distribution planning subproblems using distributed optimization modelling methodology under the premise of the consistency of shared information between transmission and distribution systems. For distribution planning subproblem, the second-order cone programming model for distribution systems was formulated based on distflow equations and constraint relaxation. The proposed model was handled using the distributed optimization algorithm with bi-level loop iteration. Respectively from the perspectives of transmission and distribution level, simulation results demonstrate the effectiveness of the proposed method comparing the solutions of coordinated planning and independent planning.

Key words： Transmission and distribution systems optimal planning distributed optimization stochastic programming second-order cone relaxation

Received: 16 March 2018 Published: 29 May 2019

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TM715

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	Liu Jia
	Cheng Haozhong
	Yao Liangzhong
	Zhang Jianping
	Zhang Xiaohu

Cite this article:

Liu Jia,Cheng Haozhong,Yao Liangzhong等. A Distributed Stochastic Optimization Method for Planning Transmission and Distribution Systems[J]. Transactions of China Electrotechnical Society, 2019, 34(10): 1987-1998.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.180330 OR https://dgjsxb.ces-transaction.com/EN/Y2019/V34/I10/1987

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