Dynamic economic dispatch of a solar-integrated power system: impact of solar-load correlation on solar power absorption and its effects on the total cost of generation

ABSTRACT

This study investigated the mitigation of solar-resource variation for utilization in power systems. A 24-h dynamic economic dispatch using particle swarm optimization was employed to analyze the impacts of the solar-load correlations on the solar power absorption and thus the generation cost. The positive and negative solar-load correlation conditions resulted in the best and worst solar absorption capabilities, respectively. The positive solar-load correlation initially exhibited a higher total cost of generation but was the most cost-effective when demand-side management was implemented. This study is useful for the grid integration of solar photovoltaics when power storage is not feasible.

KEYWORDS:

• Solar-load correlation
• PSO-DED-DSM
• solar PV
• cost of generation
• solar absorption

Disclosure statement

No potential conflict of interest was reported by the authors.

Data availability statement

The authors confirm that the data supporting the findings of this study are available within the article and its supplementary materials.

Supplementary material

Supplemental data for this article can be accessed here.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China(No. 51876083)

Notes on contributors

Stephen Afonaa-Mensah

Stephen Afonaa-Mensah received his B.Sc. in Electrical/Electronic Engineering in 2010 and M.Sc. in Renewable Energy Technologies in 2015, at the Kwame Nkrumah University of Science and Technology, Ghana. Currently, he is a PhD student at the School of Energy and Power Engineering, Jiangsu University, China. His research interest is in grid-integrated renewable energy technologies.

Qian Wang

Qian Wang  received his B.S. and M.S. degrees in Dynamic Mechanical Engineering from Jiangsu Institute of Technology and Jiangsu University of Science and Technology in the year 1993. He obtained PhD degree in Dynamic Mechanical Engineering from Jiangsu University in 1996. Currently, he is a professor at the School of Energy and Power Engineering, Jiangsu University, China. His research interest is in renewable and distributed energy technologies.

Uzoejinwa Benjamin Bernard

Uzoejinwa Benjamin Bernard received both his B. Eng. and M. Eng. in Agricultural and Bio-resources engineering in 2008 and 2013, respectively, at the University of Nigeria, Nigeria. Currently, he is a PhD student at the School of Energy and Power Engineering, Jiangsu University, China. His research interest is in renewable energy power generation.