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Sattianadan, D.
- Shuffled Frog Leaping Algorithm (SFLA) for Short Term Optimal Scheduling of Thermal Units with Emission Limitation and Prohibited Operational Zone (POZ) Constraints
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Authors
Affiliations
1 Department of EEE, SRM University, Potheri – 603203,Chennai,Tamil Nadu, IN
1 Department of EEE, SRM University, Potheri – 603203,Chennai,Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 42 (2016), Pagination:Abstract
Objectives: The objective of this paper is to decide the startup and shut down status of thermal generating units to meet the fluctuating load over a limited period at a lowest cost and also with lowest emission. Methods/Analysis: This paper presents Shuffled Frog Leaping Algorithm to explain short term Unit Commitment Problem solution with regard to Emission limitation and Prohibited Operating Zone (POZ) constraint. Findings: Fuel cost savings can be obtained by proper commitment of the available generating units. The total operating cost includes both the fuel cost and cost associated with the startup, shut down and maintenance of units. A variety of constraints like spinning reserve, generation limit constraint, minimum up time, minimum down time, system power balance and response rate constraints like ramp up constraint, ramp down constraint and prohibited operating zone constraints are considered for investigation. Novelty /Improvement: The problem is solved using an integer coded Shuffled Frog Leaping Algorithm which offers a practical unit commitment problem. A MATLAB code has been developed to explain the unit commitment problem using SFLA. The results are extensively validated for standard IEEE 39 bus with 10 units system. The results obtained are compared with existing method.Keywords
Economic Dispatch (ED), Emission Limitation, Prohibited Operating Zone (POZ), Shuffled Frog Leaping Algorithm (SFLA), Unit Commitment (UC).- Enhancement of Distribution System Loadability DG under Reconfigured Environment
Abstract Views :134 |
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Authors
Affiliations
1 Department of Electrical and Electronics Engineering, SRM University, Chennai - 603203, Tamil Nadu, IN
1 Department of Electrical and Electronics Engineering, SRM University, Chennai - 603203, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 42 (2016), Pagination:Abstract
Objectives: In this paper a comprehensive analysis of DG is done under initial configuration (base case) as well as with the feeder reconfigured environment in order to minimize the losses and to enhance voltage stability index. Methods/Analysis: In today’s trend delivery of power to customers have become a major issue in the field of power systems, one as such solution to this issue is usage of small units named as Distributed Generators (DG) entered the area of distribution systems. Findings: With the involvement of DG’s, a given system can achieve an improvement in terms of reliability, stability and reduction of losses. It just not only by using DG alone will solve the issue, but also mainly we have to focus on its location, size and the type which has to be used. Application /Improvement: For this analysis a standard IEEE 33-bus and 69-bus test distribution system is taken under nominal load consideration and the results are tabulated.Keywords
Distributed Generation, Distribution System, Real Power Loss, Reconfiguration, Voltage Profile, Voltage Stability Index.- Optimal Placement of DG Based On Voltage Stability Index and Voltage Deviation Index
Abstract Views :186 |
PDF Views:0
Authors
Affiliations
1 Department of EEE, SRM University, Chennai 603203, Tamil Nadu, IN
1 Department of EEE, SRM University, Chennai 603203, Tamil Nadu, IN