Open AccessStochastic Modelling and Stability Analysis of Large-Scale Wind Power Generation System with Dynamic Loads
Author(s) -
Joseph Cudjoe Attachie,
Christian Kwaku Amuzuvi,
Godwin Diamenu
Publication year - 2021
Publication title -
european journal of electrical engineering
Language(s) - English
Resource type - Journals
eISSN - 2116-7109
pISSN - 2103-3641
DOI - 10.18280/ejee.230503
Subject(s) - renewable energy , grid , wind power , stability (learning theory) , electricity generation , variable renewable energy , environmental science , greenhouse gas , fossil fuel , computer science , scale (ratio) , electric power system , reliability (semiconductor) , power (physics) , reliability engineering , environmental economics , engineering , mathematics , electrical engineering , economics , geography , ecology , physics , geometry , cartography , quantum mechanics , machine learning , biology , waste management
As a result of dwindling fossil fuel reserves and the negative impact of greenhouse gases (GHGs) on the environment, it is important that the search for a power grid that will comprise of only variable renewable energy (VRE) generation sources such as wind or solar energy which is available everywhere for free is given much attention. The main challenge associated with these sources of energy is their variability and random nature. It is as a result of instability introduced by the VRE generation sources, that is why there is a strict control measures put in place by the regulators as to how much VRE generation sources can feed into the power grid in the case of its integration into an existing power grid. It becomes imperative to consider implications for grid stability and reliability when considering a power grid that will consist of VRE generation only. Eigenvalue approach was used to analysed the performance of anticipated large-scale VRE grid to ascertain its behaviour. Eigenvalue approach is one of the methods to examine the stability of a power system’s dynamic performance. The results indicated that it is possible to attain the necessary stability provided the assumptions made during the modelling stage is revised to improve upon the model.