Enhancement of a Small Power System Performance Using Multi-Objective Optimization | Zendy

Mohammed E. Lotfy | Zendy; Tomonobu Senjyu | Zendy; Mohamed A. Farahat | Zendy; Amal F. Abdel-Gawad | Zendy; Atsushi Yona | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Enhancement of a Small Power System Performance Using Multi-Objective Optimization

Author(s) -

Mohammed E. Lotfy,

Tomonobu Senjyu,

Mohamed A. Farahat,

Amal F. Abdel-Gawad,

Atsushi Yona

Publication year - 2017

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2017.2692879

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

Optimal multi-objective design of proportional-integral-derivative controller parameters for a small power system using epsilon multi-objective genetic algorithm (ε -MOGA) has been presented in this paper. The small power system includes a wind turbine generator (WTG), a diesel generator, a battery energy storage system (BESS), and a load. The proposed scheme is applied for controlling the pitch angle system of the WTG to minimize the wind turbine mechanical blades stress, reduce the wind output power deviation, control the system frequency, and decrease the size of BESS by regulating its charging level. The deviations of input wind power are considered in a frequency domain. The low-frequency component is reduced by the pitch angle control system of WTG, while the high-frequency component is mitigated by the charge/discharge of the BESS, respectively. The input of the pitch angle control system of WTG is determined according to the low-frequency component of the input wind power deviation and the BESS state of charge. The output power of BESS is determined according to its state of charge, the high-frequency component of the input wind power deviation, and the frequency deviations. The effectiveness of the proposed controller is confirmed by numerical simulations.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research