Loading...
Search for:
fuzzy-satisfying-method
0.006 seconds
A scenario-based multi-objective model for multi-stage transmission expansion planning
, Article IEEE Transactions on Power Systems ; Volume 26, Issue 1 , May , 2011 , Pages 470-478 ; 08858950 (ISSN) ; Hosseini, S. H ; Oloomi Buygi, M ; Shahidehpour, M ; Sharif University of Technology
2011
Abstract
The unbundling of the electricity industry introduced new uncertainties and escalated the existing ones in transmission expansion planning. In this paper, a multi-stage transmission expansion methodology is presented using a multi-objective optimization framework with internal scenario analysis. Total social cost (TSC), maximum regret (robustness criterion), and maximum adjustment cost (flexibility criterion) are considered as three optimization objectives. Uncertainties are considered by defining a number of scenarios. To overcome the difficulties in solving the nonconvex and mixed integer optimization problem, the genetic-based Non-dominated Sorting Genetic Algorithm (NSGA II) is used....
A multi-objective framework for transmission expansion planning in deregulated environments
, Article IEEE Transactions on Power Systems ; Volume 24, Issue 2 , 2009 , Pages 1051-1061 ; 08858950 (ISSN) ; Hosseini, H ; Oloomi Buygi, M ; Shahidehpour, M ; Sharif University of Technology
2009
Abstract
Deregulation of power system has introduced new objectives and requirements for transmission expansion problem. In this paper, a static transmission expansion methodology is presented using a multi-objective optimization framework. Investment cost, reliability (both adequacy and security), and congestion cost are considered in the optimization as three objectives. To overcome the difficulties in solving the nonconvex and mixed integer nature of the optimization problems, the genetic based NSGA II algorithm is used followed by a fuzzy decision making analysis to obtain the final optimal solution. The planning methodology has been demonstrated on the IEEE 24-bus test system to show the...
An interactive fuzzy multi-objective approach for short term DG planning
, Article International Journal of Innovative Computing, Information and Control ; Volume 8, Issue 6 , 2012 , Pages 4157-4175 ; 13494198 (ISSN) ; Ehsan, M ; Meyabadi, A. F ; Niknam, T ; Sharif University of Technology
2012
Abstract
This paper presents a short term multi-objective planning model for Distributed Generators (DGs) deployment in an electrical network. "Total Cost" and "Emission Cost" are two objective functions which have been going to be minimized in this model by finding the optimal schemes of sizing, placement and DG technologies over a short planning period (static planning). The proposed model can be used for a long term planning period (dynamic planning) in order to consider the timing concept. An interactive fuzzy satisfying method based on Chaotic Local Search and Modified Honey Bee Mating Optimization (CLS-MHBMO) is used to choose the final solution. The effectiveness of the proposed model and...
A distribution network expansion planning model considering distributed generation options and techo-economical issues
, Article Energy ; Volume 35, Issue 8 , 2010 , Pages 3364-3374 ; 03605442 (ISSN) ; Ehsan, M ; Sharif University of Technology
Abstract
This paper presents a dynamic multi-objective model for distribution network expansion, considering the distributed generations as non-wire solutions. The proposed model simultaneously optimizes two objectives namely, total costs and technical constraint satisfaction by finding the optimal schemes of sizing, placement and specially the dynamics (i.e., timing) of investments on DG units and/or network reinforcements over the planning period. An efficient heuristic search method is proposed to find non-dominated solutions of the formulated problem and a fuzzy satisfying method is used to choose the final solution. The effectiveness of the proposed model and search method are assessed and...