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Supporting security and adequacy in future energy systems: The need to enhance long‐term energy system models to better treat issues related to variability
Author(s) -
Welsch Manuel,
Howells Mark,
Hesamzadeh Mohammad Reza,
Ó Gallachóir Brian,
Deane Paul,
Strachan Neil,
Bazilian Morgan,
Kammen Daniel M.,
Jones Lawrence,
Strbac Goran,
Rogner Holger
Publication year - 2014
Publication title -
international journal of energy research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.808
H-Index - 95
eISSN - 1099-114X
pISSN - 0363-907X
DOI - 10.1002/er.3250
Subject(s) - variable renewable energy , term (time) , renewable energy , electric power system , heuristics , computer science , electricity , wind power , risk analysis (engineering) , environmental economics , reliability engineering , system dynamics , operations research , engineering , power (physics) , economics , business , physics , quantum mechanics , electrical engineering , artificial intelligence , operating system
Summary As the shares of variable renewable generation in power systems increase, so does the need for, inter alia , flexible balancing mechanisms. These mechanisms help ensure the reliable operation of the electricity system by compensating for fluctuations in supply or demand. However, a focus on short‐term balancing is sometimes neglected when assessing future capacity expansions with long‐term energy system models. Developing heuristics that can simulate short‐term system issues is one way of augmenting the functionality of such models. To this end, we present an extended functionality to the Open Source Energy Modelling System (OSeMOSYS), which captures the impacts of short‐term variability of supply and demand on system adequacy and security. Specifically, we modelled the system adequacy as the share of wind energy is increased. Further, we enable the modelling of operating reserve capacities required for balancing services. The dynamics introduced through these model enhancements are presented in an application case study. This application indicates that introducing short‐term constraints in long‐term energy models may considerably influence the dispatch of power plants, capacity investments, and, ultimately, the policy recommendations derived from such models. Copyright © 2014 John Wiley & Sons, Ltd.