Combining multi-step reconfiguration with many-objective reduction as iterative bi-level scheduling for stochastic distribution network

J.Y. Li, J.J. Chen, Y.X. Wang and W.G. Chen

Energy, 2024, vol. 290, issue C

Abstract: With the increasing penetration of distributed renewable energy (DRE), problems such as voltage violation, increased power loss and load peak–valley fluctuation in distribution network are highlighted. In this paper, we combine multi-step reconfiguration with many-objective reduction to present an iterative bi-level scheduling for stochastic distribution network. In the upper level, a multi-step switching sequence exchange integrated distribution network reconfiguration strategy is developed based on minimization of power loss. In the lower level, a many-objective reduction optimization model is presented to enhance the economy and stability of stochastic distribution network, based on the topology derived in the upper level. The model develops a joint probability distribution using information on the forecast error and coupling to quantify the uncertain risks associated with DRE’s active and reactive power. Simulation of arithmetic cases based on IEEE 33-node, IEEE 84-node, IEEE 119-node and IEEE 136-node systems is carried out, and the simulation results show that the network loss of the two-layer iteration is reduced by 10.13 % and the voltage deviation is reduced by 13.05 %, and the peak shaving and valley filling are improved.

Keywords: Distributed renewable energy; Bi-level optimization; Distribution network reconfiguration; Many-objective reduction (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:290:y:2024:i:c:s0360544223035922

DOI: 10.1016/j.energy.2023.130198

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