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International Journal of Photoenergy
Volume 2019, Article ID 5986874, 12 pages
Research Article

Investigation of Daytime Peak Loads to Improve the Power Generation Costs of Solar-Integrated Power Systems

1School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, China
2Department of Electrical/Electronic Engineering, Takoradi Technical University, P.O. Box 256, Takoradi, Ghana
3Department of Agricultural and Bioresources Engineering, University of Nigeria, Nsukka, 41001 Enugu State, Nigeria

Correspondence should be addressed to Qian Wang; nc.ude.sju@gnawq

Received 20 March 2019; Revised 10 July 2019; Accepted 3 October 2019; Published 11 November 2019

Academic Editor: Pierluigi Guerriero

Copyright © 2019 Stephen Afonaa-Mensah et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Improving daytime loads can mitigate some of the challenges posed by solar variations in solar-integrated power systems. Thus, this simulation study investigated the different levels of daytime peak loads under varying solar penetration conditions in solar-integrated power systems to improve power generation cost performance based on different load profiles and to mitigate the challenges encountered due to solar variation. The daytime peak loads during solar photovoltaic generation hours were determined by measuring the solar load correlation coefficients between each load profile and the solar irradiation, and the generation costs were determined using a dynamic economic dispatch method with particle swarm optimization in a MATLAB environment. The results revealed that the lowest generation costs were generally associated with load profiles that had low solar load correlation coefficients. Conversely, the load profile with the highest positive solar load correlation coefficient exhibited the highest generation costs, which were mainly associated with violations of the supply-demand balance requirement. However, this profile also exhibited the lowest generation costs at high levels of solar penetration. This result indicates that improving daytime load management could improve generation costs under high solar penetration conditions. However, if the generation system lacks sufficient ramping capability, this technique could pose operational challenges that adversely impact power generation costs.