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Paper Information

Journal:   JOURNAL OF ENERGY MANAGEMENT   SPRING 2012 , Volume 2 , Number 1; Page(s) 2 To 11.
 
Paper: 

OPTIMAL LOCATING AND CAPACITY SELECTION OF GAS FIRED DISTRIBUTED COGENERATION SYSTEMS FOR AN INDUSTRIAL DISTRICT

 
 
Author(s):  ANSARI M., SETAYESH NAZAR M.*
 
* POWER AND WATER UNIVERSITY OF TECHNOLOGY, TEHRAN, I.R., IRAN
 
Abstract: 

Load serving entities (LSE) of industrial district that have the operation responsibility of electric network, must procure the consumers electricity from wholesale electric market or the utility’s distributed generation (DG). The generation expansion planning (GEP) has a crucial impact on the optimality of LSE’s operation. In this paper, an innovative GEP is presented in which the location, time scheduling, heat and load capacity of combined heat and power generation units are determined based on a semi dynamic scheduling. The proposed algorithm uses a genetic algorithm for minimizing of LSE’s operation costs and it considers the heat/electric load following characteristics of DGs’. A case study is performed for a medium voltage feeder of industrial district, which its results approve the optimality of the solution.

 
Keyword(s): LOAD SERVING ENTITIES, DISTRIBUTED GENERATION, COMBINED HEAT AND POWER GENERATION, OPTIMIZATION, GENERATION EXPANSION PLANNING, GENETIC ALGORITHM
 
References: 
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