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Optimal allocation of DSTATCOM considering the uncertainty of photovoltaic systems
Author(s) -
Zhang Tao,
Yu Li
Publication year - 2020
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.23063
Subject(s) - photovoltaic system , mathematical optimization , monte carlo method , optimal allocation , reliability (semiconductor) , computer science , voltage , constraint (computer aided design) , scheme (mathematics) , electric power system , differential evolution , control theory (sociology) , power (physics) , engineering , mathematics , mechanical engineering , mathematical analysis , statistics , physics , control (management) , quantum mechanics , artificial intelligence , electrical engineering
Rational allocation of the distribution static compensator (DSTATCOM) can effectively solve the impact of high penetration of photovoltaic (PV) systems on an active distribution network. Taking the intermittent output of a PV system into consideration, this paper establishes an optimal allocation model of DSTATCOM, in which active power loss, voltage deviation, and total allocation cost are considered as the objective functions. Monte Carlo simulation (MCS) is employed to simulate the random output of PV. Moreover, an opportunity constraint is introduced into the optimal model to evaluate the reliability of the allocation scheme. Multiobjective differential evolution gray wolf optimization (MODEGWO) is proposed to determine the optimal location and capacity of the DSTATCOM. A new optimization method integrating MCS, opportunity constraint, and MODEGWO is proposed to deal with the optimal allocation model of DSTATCOM. The proposed method is validated on an IEEE 33‐bus system. Simulation results confirm the rationality and validity of the proposed model. © 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.