A Submodular Approach for Electricity Distribution Network Reconfiguration
Autor: | Evdokia Nikolova, Emmanouil Pountourakis, Ali Khodabakhsh, Ger Yang, Soumya Basu, Thanasis Lianeas, Michael C. Caramanis |
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Rok vydání: | 2018 |
Předmět: |
Mathematical optimization
021103 operations research Spanning tree Heuristic (computer science) Computer science 0211 other engineering and technologies Control reconfiguration Systems and Control (eess.SY) 010103 numerical & computational mathematics 02 engineering and technology 01 natural sciences Submodular set function Tree (data structure) Optimization and Control (math.OC) Path (graph theory) FOS: Mathematics FOS: Electrical engineering electronic engineering information engineering Supermodular function Computer Science - Systems and Control 0101 mathematics Mathematics - Optimization and Control Time complexity |
Zdroj: | HICSS |
ISSN: | 2572-6862 |
DOI: | 10.24251/hicss.2018.344 |
Popis: | Distribution network reconfiguration (DNR) is a tool used by operators to balance line load flows and mitigate losses. As distributed generation and flexible load adoption increases, the impact of DNR on the security, efficiency, and reliability of the grid will increase as well. Today, heuristic-based actions like branch exchange are routinely taken, with no theoretical guarantee of their optimality. This paper considers loss minimization via DNR, which changes the on/off status of switches in the network. The goal is to ensure a radial final configuration (called a spanning tree in the algorithms literature) that spans all network buses and connects them to the substation (called the root of the tree) through a single path. We prove that the associated combinatorial optimization problem is strongly NP-hard and thus likely cannot be solved efficiently. We formulate the loss minimization problem as a supermodular function minimization under a single matroid basis constraint, and use existing algorithms to propose a polynomial time local search algorithm for the DNR problem at hand and derive performance bounds. We show that our algorithm is equivalent to the extensively used branch exchange algorithm, for which, to the best of our knowledge, we pioneer in proposing a theoretical performance bound. Finally, we use a 33-bus network to compare our algorithm's performance to several algorithms published in the literature. 10 pages, 6 figures, to appear in 51st Hawaii International Conference on System Sciences (HICSS), Hawaii, USA, Jan. 3-6, 2018 |
Databáze: | OpenAIRE |
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