Interactive fuzzy decision making for multiobjective load dispatch

• Published in: International Journal of Sustainable Energy Vol. 27; no. 1; pp. 15 - 27
• Main Authors: Singh, Lakhwinder, Dhillon, J.S.
• Format: Journal Article
• Language: English
• Published: Basingstoke Taylor & Francis 01.03.2008
• Subjects: Applied sciences; Economic data; Electric energy; Energy; Energy economics; Exact sciences and technology; fuzzy decision making; General, economic and professional studies; Methodology. Modelling; multiobjective load dispatch; surrogate worth trade-off function; weighting method; weighting method; Load distribution; Optimal strategy; Weighting; Decision making; multiobjective load dispatch; surrogate worth trade-off function; fuzzy decision making; Multiobjective programming; Fuzzy decision; Electric power production; Algorithm
• ISSN: 1478-6451; 1478-646X
• DOI: 10.1080/14786450802042943

The multiobjective load dispatch (MLD) problem is a multiple non-commensurable objective problem that minimises both cost and emission together subject to power balance and generators' capacity constraints. In this paper, the MLD problem is converted into a single objective function using the weighting method. Weights are simulated to generate a non-inferior solution along with trade-off functions between the conflicting objectives. Exploiting fuzzy decision-making theory to access the indifference band, interaction with the decision maker (DM) is obtained via surrogate worth trade-off (SWT) functions of the objectives. The SWT functions are constructed in the functional space and then transformed into the decision space, so the SWT functions of objectives relate the DM's preferences to non-inferior solutions through optimal weight patterns. The optimal solution is obtained by considering real and reactive power losses. Fast decoupled load flow analysis is performed to find the losses. The validity of the proposed method is demonstrated on the 11-bus, 17-lines IEEE system, comprising of three generators.