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13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Strathclyde

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Article title

Multi-objective planning framework for stochastic and controllable distributed energy resources

Type

D - Journal article

DOI

10.1049/iet-rpg:20080045

Title of journal

IET Renewable Power Generation

Article number

Volume number

Issue number

First page of article

227

ISSN of journal

1752-1416

Year of publication

2009

URL

Number of additional authors

Additional information

Original research led to the demonstrated application of the Strength Pareto Evolutionary Algorithm to search the complex and non-convex solution space of decision variables including renewable generation location, size and operating mode in the power system planning problem. Researchers in the leading power distribution and distributed resources planning groups (e.g. Edinburgh [Gareth.Harrison@ed.ac.uk], Leuven [Johan.Driesen@esat.kuleuven.be], Cagliari [Fabrizio Pilo, pilo@diee.unica.it], and Imperial College [Goran Strbac, g.strbac@imperial.ac.uk]) have followed on from this research and collaboration emerged with each, including an IEEE Transaction paper on methods to solve related problems [10.1109/TPWRS.2012.2214406].

Interdisciplinary

Cross-referral requested

Research group

E - Institute for Energy and Environment (InstEE)

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract