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A novel generation expansion planning in older power plants : hybrid spotted hyena-particle swarm optimization

Arun Kumar A, Suresh S, Ramkumar A, Bhuvanesh A

Opto-Electronics Review

2024

Vol. 32, No. 3

art. no. e150612

Due to their lower productivity, lower reliability, and lower economic stability, older power plants are leading to higher carbon emissions. Rather than simply focusing on the retirement and recuperation of power plants, this study focuses on generation expansion planning (GEP). Considering recuperation is economically and environmentally beneficial to power the power generating company. These criteria have made the GEP problem more complex. Hence, the applications of optimization algorithms are required to solve these complex, constrained, and large-scale problems. In this study, an effective hybrid spotted hyena-particle swarm optimization (HSHPSO) algorithm is proposed to handle the GEP problem for the Tamil Nadu power system. This case study addresses the GEP problem for a 7-year planning horizon (2020-2027), as well as a 14-year planning horizon (2020-2034). A significant reduction in total cost and pollution occurs by including retirement and recuperation in GEP. To prove the effectiveness of the proposed HSHPSO technique, it is compared with the existing technologies such as particle swarm optimization (PSO) and differential evolution (DE). Compared to GEP with no recuperation or retirement, the total cost and CO₂ emissions of the GEP have been reduced by 11.07% and 9.48%, respectively. Also, the results demonstrate that the HSHPSO algorithm outperformed other algorithms.

Quantifying energy not served in power capacity expansion planning with intermittent sustainable technologies

Poullikkas A.

Journal of Power Technologies

2015

Vol. 95, nr 1

25--33

In this work, estimations are made of the energy not served (ENS) in a power capacity expansion problem in the case of integration of intermittent sustainable technologies. For this purpose, part of the power generation system of the United Arab Emirates (UAE) is examined. Five capacity expansion scenarios using sustainable power generation technologies are investigated, including the integration of carbon capture and storage (CCS) technologies and solar-based power generation systems (intermittent systems as well as dispatchable systems using thermal storage), and compared with the business as usual scenario (BAU) for various natural gas prices. Based on the input data and assumptions made, the results indicate that the BAU scenario is the least cost option. However, if the UAE move towards the use of sustainable power generation technologies in order to reduce carbon dioxide emissions, the most suitable alternative technologies are: (i) natural gas combined cycle technology integrated with CCS systems, and (ii) concentrated solar power systems with 24/7 operation. The other candidate sustainable technologies have a considerable adverse impact on system reliability since their dispatchability is marginal, leading to power interruptions and thus high ENS cost.