Informatics Publishing Limited

K. Selvakumar ¹, K. Vijayakumar ¹, D. Sattianadan ¹, C. S. Boopathi ¹

Affiliations
1 Department of EEE, SRM University, Potheri – 603203,Chennai,Tamil Nadu, IN

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).

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S. Vidyasagar ¹, D. Sattianadan ¹, K. Vijayakumar ¹, K. Selvakumar ¹

Affiliations
1 Department of Electrical and Electronics Engineering, SRM University, Chennai - 603203, Tamil Nadu, IN

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.

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S. Vidyasagar ¹, K. Vijayakumar ¹, D. Sattianadan ¹, S. George Fernandez ¹

Affiliations
1 Department of EEE, SRM University, Chennai 603203, Tamil Nadu, IN

Abstract

Objectives: In Modern world power production and its efficient usage defines the development of the country. In distribution system of an electrical network due to the influence of loads, voltage profile and losses are to be focussed a lot. In order to avoid the maximum losses and to maintain the voltage profile usage of Distribution Generator (DG) plays a major role in the network. Statistical Analysis: Since we have to use an appropriate place and size of DG, a measuring technique based with index through which optimal size and place can be identified and is implemented in the work. Findings: This Paper focuses on reducing power losses by accurately giving the location and size of DG based on two indices (a) Voltage Deviation Index (VDI) (b) Voltage Stability Index (VSI). Results such as power losses, location, size and cost of DG are obtained for both initial configuration and Feeder reconfigured state for IEEE 33 and 69 bus systems were listed. Applications: These analysis help us in installation of Different types of DG to present network where demand side management has to be followed.

Keywords

Distributed Generation, Voltage Deviation Index, Voltage Stability Index.

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