Multi-objective planning model for integration of distributed generations in deregulated power systems

Soroudi, A. R ; Sharif University of Technology | 2010

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  1. Type of Document: Article
  2. Publisher: 2010
  3. Abstract:
  4. This paper presents a long-term dynamic multi-objective model for distributed generation investment. The proposed model optimizes three objectives, namely active losses, costs and environmental emissions and determines the optimal schemes of sizing, sitting of DG units and specially the dynamics of investment over the planning period. The Pareto optimal solutions of the problem are found using a GA algorithm and finally a fuzzy satisfying method is applied to select the optimal solution considering the desires of the planner. The solutions of Pareto optimal front are analyzed to extract general useful information for planners about the appropriate DG technologies and placement schemes. The effectiveness of the proposed model is demonstrated by applying it on a test distribution system and the results are presented, discussed and compared to other methods
  5. Keywords:
  6. Active loss reduction ; Distributed generation ; Genetic algorithm ; Active loss ; Deregulated power systems ; DG technology ; DG unit ; Distribution systems ; Dynamic planning ; Environmental emissions ; GA algorithm ; Long term dynamics ; Multi-objective planning model ; Multiobjective models ; Optimal scheme ; Optimal solutions ; Pareto optimal solutions ; Pareto-optimal front ; Placement scheme ; Planning period ; Distributed power generation ; Electric load loss ; Galerkin methods ; Genetic algorithms ; Investments ; Optimal systems ; Planning ; Multiobjective optimization ; Cost-benefit analysis ; Distribution system ; Electricity generation ; Electricity industry ; Electricity supply ; Emission control ; Fuzzy mathematics ; Industrial investment ; Multiobjective programming ; Planning practice ; Profitability
  7. Source: Iranian Journal of Science and Technology, Transaction B: Engineering ; Volume 34, Issue 3 , 2010 , Pages 307-324 ; 10286284 (ISSN)
  8. URL: http://ijste.shirazu.ac.ir/article_825_a5866bb9f77adbabcc4c8b920dc647eb.pdf