An Analysis of Shortage Minimization Models to Assess Power System Adequacy

  • Dmitrii Viktorovich Iakubovskii Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia; Irkutsk National Research Technical University, Irkutsk, Russia
  • Dmitry Sergeevich Krupenev, Dr. Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia; Irkutsk National Research Technical University, Irkutsk, Russia http://orcid.org/0000-0002-3093-4483
  • Denis Aleksandrovich Boyarkin Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia; Irkutsk National Research Technical University, Irkutsk, Russia
Keywords: adequacy, optimization methods, power shortage minimization, two-stage flow distribution model

Abstract

Continuous changes and development of power systems stipulate their complexity and aggregation. Therefore, the existing models and programs to calculate the reliability of such systems can be inefficient from the standpoint of time, accuracy and adequacy of the results. To obtain objective information we analyzed some current power shortage minimization models in the solution of adequacy assessment problems. The paper presents the results of model studies on availability of a physically incorrect power flow distribution among nodes and two-sided flows; the proof of the existence of a set of optimal solutions; the tests of existing approaches, which take into consideration adequate power flow distribution. To tackle the described challenges we suggest additional constraints on power flows and a two-stage method for power flow optimization, which, in the end, solved the revealed challenges.

Author Biographies

Dmitrii Viktorovich Iakubovskii, Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia; Irkutsk National Research Technical University, Irkutsk, Russia

Dmitrii V. Iakubovskii graduated from the Irkutsk National Research Technical University and has Diploma of Specialist in Automated Systems of Information Processing and Management. Since 2015, he is working on his PhD dissertation at the Melentiev  Energy  Systems Institute  of Siberian     Branch     of     the     Russian Academy  of  Sciences (ESI SB RAS) where he also employed as a research engineer. His main fields of scientific interest include programming complex systems, nonlinear programming, genetic algorithms, machine learning and parallel programming.

Dmitry Sergeevich Krupenev, Dr., Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia; Irkutsk National Research Technical University, Irkutsk, Russia

Dmitry S. Krupenev graduated from Irkutsk State Academy of Agriculture, Energy faculty, in 2007.  In  2011,  he received   his   PhD   degree   from   the Melentiev  Energy  Systems Institute  of Siberian     Branch     of     the     Russian Academy  of  Sciences (ESI SB RAS). Since 2011,   he   has   been   a   senior researcher   at   ESI   SB   RAS.   Research interests are: reliability of energy systems, renewable energy and energy security.

Denis Aleksandrovich Boyarkin, Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia; Irkutsk National Research Technical University, Irkutsk, Russia

Denis A. Boyarkin graduated from the Irkutsk National Research Technical University and has Diploma of Specialist in Automated Systems of Information Processing and Management. Since 2015, he is working on his PhD dissertation at the same university. In additional he is also, employed as a research engineer at the  the Melentiev  Energy  Systems Institute  of Siberian     Branch     of     the     Russian Academy  of  Sciences (ESI SB RAS). His main fields of scientific interest include programming complex systems, using simulation, various optimization methods, planning, random generators and machine learning.

Published
2019-01-29