
Modelling of energy storage dispatch for generation system adequacy studies
Author(s) -
Gafurov Tokhir,
Usaola Julio,
Prodanovic Milan
Publication year - 2015
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2014.1091
Subject(s) - economic dispatch , computer science , controller (irrigation) , automatic generation control , electric power system , monte carlo method , hydroelectricity , energy storage , electricity generation , residual , renewable energy , reliability engineering , identification (biology) , mathematical optimization , power (physics) , engineering , mathematics , algorithm , statistics , physics , botany , electrical engineering , quantum mechanics , agronomy , biology
Energy storage systems (ESS) are expected to play an important role in future electricity networks and more modelling efforts are required to include them in generation system adequacy (GSA) studies based on sequential Monte Carlo simulations. This paper proposes a new, generic approach to ESS dispatch modelling that takes into account both technological and control aspects required for the simulation‐based GSA evaluations. The model features the application of detrended residual load that includes renewable production and distinguishes between different operating timescales. Moreover, by using the correction of ESS dispatch based on the classical proportional integral controller technique the model achieves a realistic representation of storage level variations. In this paper all the necessary model equations and parameter identification procedures are provided along with their underlying assumptions. The effectiveness of the new dispatch model is demonstrated by using a GSA study for a generation system comprising thermal power plants and hydroelectric ESS with annual and daily operating cycles.