AI Article Synopsis

  • This paper addresses economic losses in distribution networks caused by the inability to sell excess power generated from photovoltaic systems, as well as losses during power transmission.
  • A model is developed to minimize these economic losses and utilizes DistFlow equations along with mixed integer second-order cone programming (MISOCP) to efficiently transform a complex optimization problem into a solvable convex form.
  • The method is tested on modified IEEE 33 and IEEE 69 distribution networks, resulting in successful optimized outcomes that meet performance targets and improve voltage levels.

Article Abstract

On the basis of predecessors' coordination optimization of active and reactive power in distribution network, For the necessity of the optimal operation in the distribution network, part of power generated from photovoltaic (PV) cannot be sold to users, and cannot enjoy subsidies. Similarly, the network loss in the power transmission will also bring a certain economic loss. This paper comprehensively considers the economic loss caused by the network loss and PV abandon of the distribution system, and establishes a model to minimize the economic loss. To solve this problem efficiently, the method of DistFlow equation and mixed integer second order cone programming (MISOCP) is used to solve the problem, in this method, the original mixed integer nonlinear programming non-convex problem is transformed into a convex problem, which makes the optimization problem easy to solve. The modified IEEE 33 and IEEE 69 distribution networks are tested by the above method. The optimized results are able to meet the target and have very small relaxation gaps, and the voltage level is also optimized. This coordinated optimization approach helps to optimize the economic operation for active distribution networks with PVs.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11412494PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0308450PLOS

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