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Emission Constrained Optimal Allocation of Generation using AWDO Technique. Swaraj Banerjee; Dipu Sarkar
International Journal of Smart Grid and Sustainable Energy Technologies Vol 2 No 1 (2018): IJSGSET
Publisher : Department of Electrical Engineering, Institut Teknologi Nasional Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (560.465 KB) | DOI: 10.36040/ijsgset.v2i1.221

Abstract

The current work introduces a meta-heuristic solution of an emission constrained optimal generation scheduling problem on the Distributed Energy Resources (DERs). The Combined Economic Emission Dispatch (CEED) problem reflects the environmental effects from the gaseous pollutants from fossil-fueled power generating plants. The CEED is a method for scheduling the generation considering both emission and generation cost meeting the needs of satisfying all operational constraints and load demand as well. The CEED problem has been formulated as a multi-objective problem and that later has been converted into a single objective function using price penalty factor. A comparatively new meta-heuristic nature-inspired global optimization method, Adaptive Wind Driven Optimization (AWDO), has been proposed to solve the CEED problem solution. The key objective is to solve the CEED problem with the proposed algorithm and analyze its effectiveness of with the help of the simulation results which later have been compared with other existing algorithms for two test systems (10 thermal units and 40 thermal units) and AWDO has proved to be the best and most powerful amongst them.
POWER SYSTEM RELIABILITY ANALYSIS FOR DIFFERENT LINE OUTAGE CONDITIONS Akanksha Priya; Sujit Pani; Dipu Sarkar; Lomi, Abraham
Journal of Sustainable Technology and Applied Science (JSTAS) Vol. 3 No. 2 (2022): Journal of Sustainable Technology and Applied Science, November 2022
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat, Institut Teknologi Nasional (ITN) Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jstas.v3i2.8077

Abstract

Power System Reliability Assessment is a crucial and significant feature of power system design, planning, and operation. A power system comprises many components that are interconnected in meaningful and rational ways. In the present paper, a simulation is carried out for line outage conditions. In a power system, some of the lines are extremely important. If such a line outage is happening then a cascading failure may occur. This failure leads to grid collapse. So, a power engineer needs to know which line will be more important. In the present work, reliability was done for different line outage conditions to check the importance of the line. This report defines a transmission network, generation system, and load model that can be used to compare the power system of reliability assessment methods. The objective is to estimate the reliability index for improvement of power system reliability analysis for different line outage conditions. The improvement in reliability assessment was evaluated with a reliability index that includes ACCI (Average Customer Curtailment Index), AENS (Average Energy Not Supplied), ASAI (Average Service Availability Index), ASUI (Average Service Unavailability Index), CAIDI (Customer Average Interruption Duration Index), CTAIDI (Customer Total Average Interruption Duration Index), EENS (Expected Energy Not Supplied), SAIDI (System Average Interruption Duration Index), and SAIFI (System Average Interruption Frequency Index) for different line-outage conditions using Electrical Transient Analyzer Program (ETAP) software. The transmission system comprises 24 load/generation buses that are connected by 38 switches or transformers with two voltages that is, 138 KV and 230 KV. Transmission system data consists of line, transformer, impedance, and reliability data.