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Optimal Scheduling of Solar-Wind-Thermal Integrated System Using α-Constrained Simplex Method

1Department of Electrical Engineering, I.K. Gujral Punjab Technical University, Kapurthala 144603, Punjab, India

2Department of Electrical & Instrumentation Engineering, Sant Longowal Institute of Engineering and Technology, Sangrur 148106, Punjab, India

Received: 6 Aug 2020; Revised: 20 Sep 2020; Accepted: 30 Sep 2020; Available online: 5 Oct 2020; Published: 1 Feb 2021.
Editor(s): H Hadiyanto
Open Access Copyright (c) 2021 The Authors. Published by CBIORE
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Citation Format:
In this paper, multi-objective economic-environmental solar-wind-thermal power scheduling model was developed and it was optimized for five test systems. First test system was based upon a purely thermal power generating system and its problem was formulated to satisfy three conflicting objectives: (i) fuel cost, (ii)  emission, and (iii)  emission. The second, third and fourth test systems were comprised of optimal scheduling of integrated solar-thermal, wind-thermal and solar-wind-thermal power systems, respectively. Uncertainty costs were also considered in the renewable power based systems. These four test systems were examined for five power demands i.e. 200 MW, 225 MW, 250 MW, 275 MW, & 300 MW. Fifth test system was also deployed upon a renewable-thermal power scheduling. The effects of variation in number of thermal generators on fuel cost and  emission were perceived, for a power demand of 400 MW. The values of fuel cost (4067.98 Rs/h) and  emission (2,441.05 kg/h) reduced to 3,232.94 Rs/h and 1,939.30 kg/h, respectively, when number of thermal generators were reduced from four to two. The -constrained simplex method (ACSM) was used for simulation and the results were compared with simplex method (SM). The results clearly depict the dominance of ACSM over SM in almost all the fields.
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Keywords: Integrated system; Fuel cost; Pollutant emission; Wind farms; Solar units; α- constrained simplex method

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