2013/10/18 by Karol Wawrzyniak, Wawrzyniak, Karol, Grzegorz Orynczak +7
Energy · Engineering · #Computational Engineering #Computers and Society (cs.CY) #Electric Power System Optimization #FOS: Computer and information sciences #FOS: Electrical engineering #Finance #Global Energy Security and Policy #Integrated Energy Systems Optimization #Systems and Control (eess.SY) #and Science (cs.CE) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1310.5022
openalex publication_date 2013/10/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Adopting a zonal structure of electricity market requires specification of\nzones' borders. One of the approaches to identify zones is based on clustering\nof Locational Marginal Prices (LMP). The purpose of the paper is twofold: (i)\nwe extend the LMP methodology by taking into account variable weather\nconditions and (ii) we point out some weaknesses of the method and suggest\ntheir potential solutions. The offered extension comprises simulations based on\nthe Optimal Power Flow (OPF) algorithm and twofold clustering method. First,\nLMP are calculated by OPF for each of scenario representing different weather\nconditions. Second, hierarchical clustering based on Ward's criterion is used\non each realization of the prices separately. Then, another clustering method,\ni.e. consensus clustering, is used to aggregate the results from all\nsimulations and to find the global division into zones. The offered method of\naggregation is not limited only to LMP methodology and is universal.\n