Multi-Criteria Analysis of Grid Expansion Concepts on the Low Voltage Level

Lühn, Tobias; Schlömer, Gerrit; Schmidtmann, Genoveva; Lehde, Bianca; Schmiesing, Johannes; Hofmann, Lutz; Geldermann, Jutta

doi:10.1007/s12398-014-0134-z

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…This is the reason why a wide range of MCDA methods is used in this area which apply different methodologies in order to model the decision situation and the involved uncertainties (cf. Browne et al, 2010;Heo et al, 2010;Kaya and Kahraman, 2011;Streimikiene et al, 2012;Ribeiro et al, 2013;Ren et al, 2013;Lühn et al, 2014). For literature reviews of the application of MCDA methodologies in energy decision situations please refer to Greening and Bernow, 2004;Pohekar and Ramachandran, 2004;Diakoulaki et al, 2005;Zhou et al, 2006;Loken, 2007;Kowalski et al, 2009;Wang et al, 2009;Abu-Taha, 2011 andScott et al, 2012. This paper is structured as follows: In section 2, we review and summarise relevant literature related to (i) preferential uncertainty modelling in MCDA, (ii) benefits of explanation systems in general and (iii) existing explanatory features in MCDA tools.…”

Section: Introductionmentioning

confidence: 99%

A natural language generation approach to support understanding and traceability of multi-dimensional preferential sensitivity analysis in multi-criteria decision making

Wulf

Bertsch

2017

Expert Systems with Applications

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A natural language generation approach to support understanding and traceability of multi-dimensional preferential sensitivity analysis in multi-criteria decision making Abstract Multi-Criteria Decision Analysis (MCDA) enables decision makers (DM) and decision analysts (DA) to analyse and understand decision situations in a structured and formalised way. With the increasing complexity of decision support systems (DSSs), it becomes challenging for both expert and novice users to understand and interpret the model results. Natural language generation (NLG) techniques are used in various DSSs to cope with this challenge as they reduce the cognitive effort to achieve understanding of decision situations. However, NLG techniques in MCDA have so far mainly been developed for deterministic decision situations or one-dimensional sensitivity analyses. In this paper, a concept for the generation of textual explanations for a multi-dimensional preferential sensitivity analysis in MCDA is developed. The key contribution is a NLG approach that provides detailed explanations of the implications of preferential uncertainties in Multi-Attribute Value Theory (MAVT). It generates a report that assesses the influences of simultaneous or separate variations of inter-criteria and intra-criteria preferential parameters determined within the decision analysis. We explore the added value of the natural language report in an online survey. Our results show that the NLG approach is particularly beneficial for difficult interpretational tasks. IntroductionWith the aim of enabling transparent and systematic support in complex decision situations, Multi-Criteria Decision Analysis (MCDA) represents a formalised framework for the analysis of different decision alternatives (Stewart, 1992;Geldermann et al., 2009). While such decision support approaches are aimed at providing guidance to decision makers (DMs), their increasing mathematical complexity often hinders a straightforward understanding and traceability on the part of the DMs. Consequently, a lot of cognitive effort is required in order to analyse, interpret and derive adequate implications from the obtained model results which is particularly challenging for novice users (Spiegelhalter and KnillJones, 1984;Henrion and Druzdzel, 1991;Gregor and Benbasat, 1999). DMs consider such models as a 'black box', so they mistrust or even reject them (Brans and Mareschal, 1994;Bell et al., 2003), which leads to a gap between available information on the one hand and processible information on the other hand.To compensate for this, further explanations of decision analysis results promote understanding of the decision situation and thus help to increase trust and acceptability of the 3 system (Greer et al., 1994;Greef and Neerincx, 1995;Dhaliwal and Benbasat, 1996;Gregor and Benbasat, 1999;Parikh et al., 2001;Geldermann, 2010). The use of natural language generation (NLG) techniques to generate such explanations automatically based on the model results has been proposed, for instance, by Pap...

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Section: Introductionmentioning

confidence: 99%

A natural language generation approach to support understanding and traceability of multi-dimensional preferential sensitivity analysis in multi-criteria decision making

Wulf

Bertsch

2017

Expert Systems with Applications

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“…To analyse a large number of low-voltage grids case-by-case (2), each grid plan must be available electronically and the time required for computing increases linearly with the number of grids and scenarios. Therefore, the required grid expansion is calculated using a static, worst-case analysis based on synthetic grid structures (3) (Schlömer and Hofmann, 2014;Lühn et al, 2014). To form a worst-case scenario, the time of the highest power generation and the lowest power consumption is analysed to determine the maximum grid load.…”

Section: Calculation Of Grid Expansionmentioning

confidence: 99%

“…As a result, low-voltage grids can be assigned to four groups, depending on their grid expansion requirements. These are labelled sensitive, rather sensitive, rather robust and robust low-voltage grids (Lühn et al, 2014). The grid groups are differentiated by typical grid characteristics: total cable length, number of households and number of branches per low-voltage grid (cf.…”

Section: Assignment Of Low-voltage Grids To Grid Groupsmentioning

confidence: 99%

Identification of sustainable expansion alternatives for heterogeneous grid topologies

Lühn

Schmidtmann

Geldermann

2017

IJESM

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Purpose The aim of this paper is to introduce a newly developed multi-criteria analysis for the comparison of two grid expansion alternatives, conventional and voltage-regulated distribution transformer. The case study comprises environmental, economic, technical and social aspects. Design/methodology/approach The newly developed method decision condition Preference Ranking Organization METHod for Enrichment Evaluation (DC-PROMETHEE) combines scenario planning with the multi-attribute decision-making method PROMETHEE. DC-PROMETHEE supports the decision-maker to evaluate the total potential of an alternative considering a large number of decision conditions. The calculated performance indicator supports the decision-maker to select the best alternative. Findings The voltage-regulated distribution transformer shows a high overall potential in the present case study. This leads to the recommendation to the investigated distribution system operator to include the voltage-regulated distribution transformers as a grid expansion measure. Practical implications The DC-PROMETHEE can be applied to other distribution system operators by considering their individual grid topology and preferences. Other fields of application are infrastructure investments in the service area, in which expansion alternatives are evaluated in a large number of decision conditions. Examples include telecommunication, gas supply, water supply, sewage and rail networks. Originality/value This paper develops the DC-PROMETHEE approach. The DC-PROMETHEE enables the multi-criteria evaluation of a few alternatives in a large number of decision conditions.

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Operating Strategies for Battery Storage Systems in Low-Voltage Grids to Limit the Feed-In Power of Solar Power Systems Using Fuzzy Control

Lühn

Geldermann

2017

Z Energiewirtsch

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Multi-Criteria Analysis of Grid Expansion Concepts on the Low Voltage Level

Cited by 5 publications

References 6 publications

A natural language generation approach to support understanding and traceability of multi-dimensional preferential sensitivity analysis in multi-criteria decision making

A natural language generation approach to support understanding and traceability of multi-dimensional preferential sensitivity analysis in multi-criteria decision making

Identification of sustainable expansion alternatives for heterogeneous grid topologies

Operating Strategies for Battery Storage Systems in Low-Voltage Grids to Limit the Feed-In Power of Solar Power Systems Using Fuzzy Control

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