Applications of Wien Automatic System Planning (WASP) Model to Non-Standard Power System Expansion Problems

Mladen Zeljko, Marko Aunedi, Goran Slipac and Dražen Jakšić
Additional contact information
Mladen Zeljko: Energy Institute Hrvoje Požar (EIHP), 10000 Zagreb, Croatia
Marko Aunedi: Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK
Goran Slipac: Croatian Power Company (HEP d.d.), 10000 Zagreb, Croatia
Dražen Jakšić: Energy Institute Hrvoje Požar (EIHP), 10000 Zagreb, Croatia

Energies, 2020, vol. 13, issue 6, 1-17

Abstract: This paper presents several applications of Wien Automatic System Planning (WASP) tool to address specific modeling challenges encountered in power system expansion planning problems. Although WASP has been used by power system planners around the world for many decades, its standard formulation does not allow the user to explicitly model many situations that can occur in realistic power systems. Examples of such situations include dual-fuel plants, options for electricity exports, energy exchange agreements with neighboring systems, and considering large generating units as candidates in relatively small-size systems. A number of alternative modeling solutions are proposed in the paper based on the authors’ long-term experience in carrying out generation expansion studies for electricity systems of various types and sizes. These solutions demonstrate the flexibility of using WASP to model atypical features of power systems.

Keywords: generation expansion planning; probabilistic generation costing; WASP model; power system modeling; cost minimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/6/1392/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/6/1392/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:6:p:1392-:d:333342

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().