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New Smart Grids Findings from Louisiana State University Discussed (A Parallel Sectionalized Restoration Scheme for Resilient Smart Grid Systems)

Source: 
Energy Daily News

2019 MAR 20 (NewsRx) -- By a News Reporter-Staff News Editor at Energy Daily News -- New research on Energy - Smart Grids is the subject of a report. According to news originating from Baton Rouge, Louisiana, by NewsRx correspondents, research stated, “A parallel automated resilience-based restoration methodology is presented in the power system to minimize impact due to emergency power outages. In this power restoration process, a black start unit is assigned to a small region (i.e., a section) on an as-needed basis.”

Our news journalists obtained a quote from the research from Louisiana State University, “A mixed integer nonlinear programming model is developed in order to optimally sectionalize the region of interest all the while maximizing the resiliency in terms of load shedding, restoration time, and network connectivity. For solving this large scale optimization model, a bi-level programming approach is proposed. This approach consists of two optimization levels. The sectionalization problem (upper level) is a mixed integer programming model and finds the optimal section set. The restoration problem (lower level) is a linear model and determines the dc optimal power flow and restoration time for the optimal section set identified in the upper level. We use the pre-emptive method of goal programming to deal with multiple conflicting objectives in the model. Our proposed solution approach outperformed mathematical programming with equilibrium constraints and found near optimal solutions.”

According to the news editors, the research concluded: “Numerical results and sensitivity analysis from two case studies (6-and 118-bus IEEE test systems) are further discussed to demonstrate the efficiency of the solution approach.”

For more information on this research see: A Parallel Sectionalized Restoration Scheme for Resilient Smart Grid Systems. IEEE Transactions on Smart Grid, 2019;10(2):1660-1670. IEEE Transactions on Smart Grid can be contacted at: Ieee-Inst Electrical Electronics Engineers Inc, 445 Hoes Lane, Piscataway, NJ 08855-4141, USA. (Institute of Electrical and Electronics Engineers - http://www.ieee.org/; IEEE Transactions on Smart Grid - http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165411)

The news correspondents report that additional information may be obtained from M. Barati, Louisiana State University, Dept. of Elect & Comp Engn, Baton Rouge, LA 70803, United States. Additional authors for this research include S. Abbasi and G.J. Lim.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1109/TSG.2017.2775523. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

 

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