期刊
ELECTRIC POWER SYSTEMS RESEARCH
卷 222, 期 -, 页码 -出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.epsr.2023.109523
关键词
Network reconfiguration; Distributed generation; Static voltage stability index; Linearization; Multi objective linearization; GAMS; Pareto optimal solution
A novel formulation based on mixed integer linear programming (MILP) is proposed in this paper to reconfigure distribution network considering voltage stability index (VSI) in the presence of distributed generation (DG). The method increases the accuracy and pace of solving, guarantees the optimal solution, and aims to minimize real power loss and improve VSI. Various technical constraints such as branch currents, nodal voltage limits, radiality of the network, and DG penetration level are also taken into account.
Reconfiguration of distribution network with consideration of voltage stability index (VSI) in the presence of distributed generation (DG) is a time consuming and complicated problem, which needs considering various technical constraints. Hence, in this paper a novel formulation based on the mixed integer linear programming (MILP) is proposed. Several linearization methods have been used to present a linear VSI. Network reconfiguration based on MILP not only increases accuracy and pace of solving, but also guaranties the optimal solution. Minimizing real power loss and improving VSI are the objectives of this problem. In addition, some constraints like branches currents, nodal voltage limits, radiality of distribution network, and penetration level of DGs are determined. In order to evaluate the performance of algorithm, the proposed method is tested on 33-bus and 69bus radial network. All scenarios are simulated linearly and non-linearly in GAMS.
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