Abstract
Background: Currently, electricity producers are mainly concerned with finding solutions
that make it possible to produce electricity with a low fuel cost and minimize toxic gas emissions
into the atmosphere.
Objective: This paper aims to demonstrate the economic and environmental impact of connecting
photovoltaic plants on the electricity grid to reduce the cost of electricity production and the emissions
of toxic gas into the atmosphere.
Methods: The study was carried out under the MATLAB environment using the PSO algorithm
(Particle Swarm Optimizers), which makes it possible to optimize the cost function and the gas
emissions function in two cases: In the first case, the electricity network is considered without photovoltaic
generation; and in the second case with the addition of photovoltaic generation.
Results: After connecting the photovoltaic plant to the electricity network, we obtained a remarkable
reduction in the cost of production and the quantity of emission of toxic gases.
Conclusion: The economic and environmental impact of the photovoltaic plant on the electricity
grid has been well demonstrated by applying the method of particle swarm optimization (PSO). We
compared the results obtained before and after connecting the photovoltaic plant to the electricity
grid; we obtained good results in terms of reduction in production costs and greenhouse gas emissions.
Keywords:
Economic and environmental impact, cost function, NOx gas emission function, photovoltaic power plant, optimization, PSO particle swarm optimization algorithm.
Graphical Abstract
[1]
J. Wu, and Y. Lin, "Economic dispatch including wind farm power injection", Proceedings of ISES Solar World Congress: Solar and Hu-man Settlement, 2007
[2]
R. Boqiang, and J.A. Chuanwen, "Review on the economic dispatch and risk management considering wind power in the power market", Renew. Sustain. Energy Rev., vol. 13, no. 8, pp. 2169-2174, 2012.
[3]
L. Benasla, and M. Rahli, "Optimization of active powers by the S.U.M.T method with minimization of transmission losses", In: 2000 Proceeding of the Second International Conference on Electrotechnics, 2000pp. 13-15
[4]
M. Benyahia, Approche Neuro-Génétique pour le problème du Dispatching économique Environnemental., University of Science and Technology of Oran Mohamed Boudiaf, 2012.
[6]
A. Verma, and A. Tyagi, "Optimal allocation of distributed solar photovoltaic generation in electrical distribution system under uncertain-ties", J. Electr. Eng. Technol., vol. 12, no. 4, pp. 1386-1396, 2017.
[7]
A. Belmadani, and L. Benasla, "“Improvement of a dynamic economic dispatching by the introduction of an elionne farm”, Application to the western Algerian electricity Grid", Rev. Roum. Sci. Techn., vol. 57, no. 3, pp. 269-280, 2012.
[8]
E. Elattar, "Combined economic emission dispatch for micro grid considering solar and wind power cost functions using harmony search algorithm", Int. J. Appl. Eng. Res., vol. 13, no. 5, pp. 3083-3092, 2018.
[9]
B. Dey, and S.K. Roy, "Solving multi-objective economic emission dispatch of a renewable integrated micro grid using latest bio-inspired algorithms", Eng. Sci. Technol. Int. J., vol. 22, no. 1, pp. 55-66, 2018.
[10]
M. Zemzami, and N. Elhami, Electrical Power Transmission Optimization Based on a New Version of PSO Algorithm., Published by ISTE Science Publishing: London, UK, 2016, pp. 2-17.
[12]
K. Iqbal, Optimization Methods in Engineering Design., College of Engineering and Information Technology University of Arkansas, 2012.
[13]
L. Benasla, A. Belmadani, and M. Rahli, Influence of the location of a wind farm on environmental economic dispatching., Anal. Seria Informatica, 2013.
[14]
N. Augustine, S. Suresh, P. Moghe, and K. Sheikh, Economic dispatch for a micro grid considering renewable energy cost functions.In: 2012 IEEE PES Innovative Smart Grid Technologies., ISGT, 2012, pp. 1-7.
Download PDF Flyer