Management of Wind Power Variations in Electricity System Investment Models. A Parallel Computing Strategy
Journal article, 2021

Accounting for variability in generation and load and strategies to tackle variability cost-efficiently are key components of investment models for modern electricity systems. This work presents and evaluates the Hours-to-Decades (H2D) model, which builds upon a novel approach to account for strategies to manage variations in the electricity system covering several days, the variation management which is of particular relevance to wind power integration. The model discretizes the time dimension of the capacity expansion problem into 2-week segments, thereby exploiting the parallel processing capabilities of modern computers. Information between these segments is then exchanged in a consensus loop. The method is evaluated with regard to its ability to account for the impacts of strategies to manage variations in generation and load, regional resources and trade, and inter-annual linkages. Compared to a method with fully connected time, the proposed method provides solutions with an increase in total system cost of no more than 1.12%, while reducing memory requirements to 1/26’th of those of the original problem. For capacity expansion problems concerning two regions or more, it is found that the H2D model requires 1–2% of the calculation time relative to a model with fully connected time when solved on a computer with parallel processing capability.

flexibility measures

capacity expansion model

variation management

parallel computing

hours-to-decades model

electricity system model

consensus algorithm

wind power integration

Author

Lisa Göransson

Chalmers, Space, Earth and Environment, Energy Technology, Energy Technology 2

Caroline Granfeldt

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Ann-Brith Strömberg

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

SN Operations Research Forum

2662-2556 (eISSN)

Vol. 2 1-30 25

Mathematical modelling of large scale integration of variable electricity generation - a new modelling paradigm

Swedish Energy Agency, 2015-07-01 -- 2020-12-31.

Swedish Energy Agency, 2015-07-01 -- 2018-12-31.

Driving Forces

Sustainable development

Areas of Advance

Energy

Roots

Basic sciences

Subject Categories

Other Mathematics

Energy Systems

DOI

10.1007/s43069-021-00065-0

Related datasets

DOI: 10.1007/s43069-021-00065-0

More information

Latest update

5/12/2021