Open AccessStructural and behavioural evaluation of renewable energy power plants' impacts on transmission network congestion using an analytical approach
Author(s) -
Poursalimi Jaghargh Mohammad Javad,
Rajabi Mashhadi Habib
Publication year - 2020
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2019.0786
Subject(s) - bidding , renewable energy , electricity market , computer science , electric power system , mathematical optimization , electricity , network congestion , lagrange multiplier , operations research , economics , microeconomics , power (physics) , engineering , mathematics , computer network , electrical engineering , physics , quantum mechanics , network packet
Renewable energy support schemes implementation increases the significance of renewable energy power plants (REPPs) in studying power market characteristics. In this study, an analytical approach is presented to investigate the impact of REPPs on transmission lines congestion. For this purpose, considering REPPs, social welfare maximisation problem corresponding to the spot electricity market should be solved by the independent system operator. A closed‐form expression of the Lagrange multiplier (LM) of each congested line is presented to analytically demonstrate the role of the power system structure and strategic behaviour of conventional generation companies (GenCos) on the network congestion. The structural part of LM expression is decomposed into four components to distinguish the impact of GenCos from the impact of REPPs. The GenCos' strategic behaviour in the spot market bidding problem is simulated using well‐known Q‐Learning algorithm. The results confirm that REPPs deployment can remarkably affect both the structural and behavioural parts of the LM and emphasise the significance of the GenCos strategic behaviour on the occurrence of congestion. The results illustrate that since renewable energy support schemes may increase the possibility of congestion and GenCos' strategic behaviour, it is essential to take power system characteristics into account in their design.