Open AccessCost‐based allocation model for hybrid power system considering solar, wind and thermal generations separately
Author(s) -
Bhowmik Debashish,
Sinha Ashoke Kumar
Publication year - 2017
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2017.0305
Subject(s) - renewable energy , photovoltaic system , wind power , automotive engineering , electric power system , hybrid system , hybrid power , wind speed , thermal , electricity generation , computer science , power (physics) , engineering , electrical engineering , environmental science , meteorology , physics , quantum mechanics , machine learning
Utilisation of renewable energy, especially solar and wind have placed a great impact on the power flow and line losses in the hybrid power system. This study presents a novel structure to the effective assessment of renewable energy on the hybrid power system from a distinct generator to all demands separately, via which the share of power coming from a particular generator and fed to the particular loads, and to rest of the line networks has been traced in a power system under normal as well as hybrid situation. The proposed method is humble, robust and effective in the resolution attained. To simplify the investigation, the solution to a sample case study is provided using the proposed approach. The modified technique has been experimented on an IEEE 14‐bus test system with thermal, solar‐thermal, wind‐thermal and solar‐wind‐thermal generations. A wind generator of 10.2235 MW with wind speed 5.1376 m/s and a solar power generation of 2.7567 MW with rated photovoltaic panel voltage of 24 V has been integrated into the system to comprehend the influence of the renewable generation of the power system. Correspondingly the outcomes of both the conditions under the projected algorithm of the test systems are compared.