Solving Multiple Fuels Dynamic Environmental/Economic Dispatch Problem and Incentive Based Demand Response Considering Spinning Reserve Requirements

Authors

  • E. Dehnavi Department of Electrical Engineering, Engineering Faculty, Razi University, Kermanshah, Iran.
  • F. Mohammadi Department of Electrical Engineering, Engineering Faculty, Razi University, Kermanshah, Iran.
  • H. Abdi Department of Electrical Engineering, Engineering Faculty, Razi University, Kermanshah, Iran.
Abstract:

In this paper a new integrated model of the dynamic environmental/economic dispatch (DEED) problem and emergency demand response program (EDRP) has been presented by which their interactions are investigated. DEED schedules the online generators power output over the whole dispatch period subject to some practical constraints so that the fuel costs and emission are optimized simultaneously. EDRP is one of the incentive-based demand response program in which incentives are paid to the customers to reduce their consumption during peak hours or shift it to the off-peak or valley hours. The proposed integrated model is a multi-objective optimization problem which aims to minimize both the fuel costs and emission and determine the optimal incentive of EDRP under some of practical constraint of units such as valve-point loading effect, multiple fuels, prohibited operating zones, and spinning reserve requirements. The proposed model has been applied on a ten generation units test system. The results indicate the effectiveness of the integrated model in reducing fuel costs and emission, improving load curve characteristics, spinning reserve, and consequently the network reliability.

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Journal title

volume 49  issue 1

pages  63- 74

publication date 2017-06-01

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