Optimal allocation of distributed generation using a two-stage multi-objective mixed-integer-nonlinear programming

Cost is one of the most essential factors that influence many decisions taken in the distribution system planning. In general, cost can be defined as everything that should be sacrificed to gain the desired results. This paper proposes a new two‐stage methodology for distributed generation (DG) plac...

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Vydáno v:European transactions on electrical power Ročník 21; číslo 1; s. 1072 - 1087
Hlavní autoři: Porkar, S., Poure, P., Abbaspour-Tehrani-fard, A., Saadate, S.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Chichester, UK John Wiley & Sons, Ltd 01.01.2011
Wiley
Témata:
Cost engineering
distributed generation (DG)
distribution company (DISCO)
distribution system planning
Electric power
Engineering Sciences
Financing
GAMS-MATLAB interface
Investment
investment payback time
Mathematical analysis
Methodology
multiobjective optimization
Optimization
Placement
Position (location)
total system benefit (TSB)
ISSN:1430-144X, 1546-3109, 1546-3109
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Shrnutí:Cost is one of the most essential factors that influence many decisions taken in the distribution system planning. In general, cost can be defined as everything that should be sacrificed to gain the desired results. This paper proposes a new two‐stage methodology for distributed generation (DG) placement as an attractive option for distribution system planner. This method aims to minimize cost and maximize total system benefit (TSB). Optimal placement and size are obtained from total cost minimization mathematical problem which is solved in the first stage. For each DG cost characteristics and for each investment payback time, there is an optimal location and size. Then the optimal DG investment payback time results from the TSB maximization problem, which is solved in the second stage. The various DG technologies offer the opportunity of selecting the right energy solution at the right location. Five types of DG are tested to give system deciders some choices. Different system conditions are simulated to illustrate the effect of DG installation on the distribution system as well as the ability of the proposed methodology. A user‐friendly software package has been developed to solve efficiently and quickly the two optimization mathematical problems. The proposed methodology has been tested on IEEE 30‐bus test system. Copyright © 2010 John Wiley & Sons, Ltd.
Bibliografie:ArticleID:ETEP497
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ISSN:1430-144X
1546-3109
1546-3109
DOI:10.1002/etep.497