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Frontiers in Energy

ISSN 2095-1701

ISSN 2095-1698(Online)

CN 11-6017/TK

邮发代号 80-972

2019 Impact Factor: 2.657

Frontiers in Energy  0, Vol. Issue (): 12-20   https://doi.org/10.1007/s11708-012-0172-3
  RESEARCH ARTICLE 本期目录
Economic analysis of a hybrid solar-fuel cell power delivery system using tuned genetic algorithm
Economic analysis of a hybrid solar-fuel cell power delivery system using tuned genetic algorithm
Trina SOM(), Niladri CHAKRABORTY
Power Engineering Department, Jadavpur University, Kolkata 700098, India
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Abstract

An economic evaluation of a network of distributed energy resources (DERs) comprising a microgrid structure of power delivery system in an Indian scenario has been made. The mathematical analysis is based on the application of tuned genetic algorithm (TGA). The analyses for optimal power operation pertaining to minimum cost have been made for two cases in Indian power delivery system. The first case deals with the consumers’ individual optimal operation of DERs, while in the second one, consumers altogether form a microgrid with the optimal supply of power from DERs. The total annual costs for these two cases are found to be economically competitive and encouraging. A reduction of approximately 5.7% in the annual cost has been obtained in the case of microgid system than that in the separately operating consumers’ system for a small locality of India. It is observed that the application of TGA results in a reduction of the minimum cost depicting an improved outcome in terms of energy economy.

Key wordsdistributed energy resources (DERs)    microgrid    tuned genetic algorithm (TGA)
收稿日期: 2011-10-11      出版日期: 2012-03-05
Corresponding Author(s): SOM Trina,Email:trinasom@gmail.com   
 引用本文:   
. Economic analysis of a hybrid solar-fuel cell power delivery system using tuned genetic algorithm[J]. Frontiers in Energy, 0, (): 12-20.
Trina SOM, Niladri CHAKRABORTY. Economic analysis of a hybrid solar-fuel cell power delivery system using tuned genetic algorithm. Front Energ, 0, (): 12-20.
 链接本文:  
https://academic.hep.com.cn/fie/CN/10.1007/s11708-012-0172-3
https://academic.hep.com.cn/fie/CN/Y0/V/I/12
Fig.1  
Fig.2  
Fig.3  
Consumers (System)Initial cost of PAFC/105 RsInitial cost of SPS/105 RsInitial cost of BESS/RsRunning cost of PAFC/(Rs·kW-1·h-1)Running cost of BESS/(Rs·kW-1·h-1)
Hostel (Individual)252.0348102555106
Market (Individual)226.8348102555106
Campus-quarters (Individual)189.0348102555106
Hospital (Individual)226.8348102555106
Bank & post office (Individual)189.0348102555106
Microgrid System882.013121333555106
Tab.1  
Equipments forming microgridCost/103 RsLife time/a
Switching equipments4376
Transformers (step-up & step-downs)335015
Controller2030
Cables (underground & overhead )1090020
Tab.2  
EquipmentsCost/103 RsLife time/a
Switching equipments4376
Transformers (step-up & step-downs)11515
Controller2030
Cables (underground & overhead )6.55520
Tab.3  
Optimal power generationHostelHospitalCampus- quartersBank & post-officeMarket
Average fuel cell capacity/kW194.616312585160
Average SPS capacity/kW8080808080
Average BESS capacity/kW101999272128
Purchased capacity/kW5040303020
Tab.4  
Optimal power generationMicrogrid power system
Average fuel cell capacity/kW641
Average SPS capacity/kW310
Average BESS capacity/kW126
Purchased capacity/kW20
Tab.5  
ConsumerTotal annual cost/103 Rs
Hostel31820
Hospital29819
Campus quarters31140
Market31811
Bank & post office27220
Tab.6  
Consumers’ operationTotal annual cost/103 Rs
Individual operation151811
Microgrid143052
Tab.7  
ConsumerElectric price per unit/Rs
Hostel25.2
Hospital26.1
Campus quarters24.3
Market22.6
Bank & post office26.3
Microgrid20.4
Tab.8  
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