A multiobjective approach for design of an off‐grid PV/Diesel system considering reliability and cost

Sadhu

et al. 2019

The primary source of energy is depleting day by day owing to an increase in per capita energy consumption. To ensure energy security, to minimize climate change problems and to guarantee sustainable development, the useful utilization of renewable energy potential is of utmost importance. Recent researches reveal significant environmental effects in utilization of photovoltaic technology in large power plants located in urban locations. Further observations depict that the ground mounted PV power plants occupy large land spaces in the modern cities. These have led to the escalation of land price which has resulted in increasing the levelized tariff of electricity. Floating Solar Photovoltaic (FSPV) is an alternative to mitigate the aforesaid problems. In this article, a techno‐economic feasibility of a 10 MW FSPV plant is done to show the economic viability and environmental suitability in maintaining ecological balance through adoption of floating solar photovoltaic technology as compared to conventional ground mounted PV systems. The results show that floating solar photovoltaic power plant has 10.2% more generating capacity than land based PV system and producing 28.38 MU excess generation over the life cycle of the plant. The FSPV plant will save the land cost burden of USD 352125 and water cess burden of USD 47,600. This results in reducing the levelized tariff of FSPV plant to USD 0.026/kWh which is 39% less than land based PV power plant. The FSPV plant will also save 92,945.92 MT of Coal and a total CO2 emission of 340,801.74 ton. The FSPV power plant will help to bridge the gap between energy demand and supply along with reducing the cost of electricity and protecting the environment.

Section: Introductionmentioning

confidence: 99%

“…To increase the reliability and generation capacity, hybrid power plants are now being developed. 14 optimal configuration of solar-wind hybrid system that is more economically viable for Iran has been determined by Atael et al 16 is 75 kW diesel generator, 75 kW wind turbine, and 21 kW photovoltaic array.…”

Section: Introductionmentioning

confidence: 99%

Floating solar power plant for sustainable development: A techno‐economic analysis

Sadhu

et al. 2019

“…In References 26,27, authors have found that MO‐CSA produces better results than MO PSO (MO‐PSO) and NSGA‐II on sizing HESs. On the other hand, in Reference 28, based on Wilcoxon signed ranks test (a nonparametric statistical hypothesis test), it has been shown that CSA finds more promising results than PSO and GA variants.…”

Section: Methodsmentioning

confidence: 99%

“…References 26,27, authors have found that MO-CSA produces better results than MO PSO (MO-PSO) and NSGA-II on sizing HESs. Pareto front of the sizing problem.…”

mentioning

confidence: 99%

Techno‐economic optimization of a hybrid system composed of pumped hydro storage, photovoltaic module, and diesel generator in a multi‐objective framework

Bagherdoost,

Askarzadeh

2023

Self Cite

Hybridization of photovoltaic (PV) module (as a non‐dispatchable resource), diesel generator (as a dispatchable source), and pumped hydro storage (PHS) (as an energy storage) can provide a promising hybrid energy system (HES). The main outlook of the present study is to develop an efficient multi‐objective framework for optimal design of an off‐grid PV/diesel/PHS HES in which a wide range of parameters related to PHS system is optimized. In the optimization framework, nine decision variables (number of PV modules, number of diesel generators, reservoir installation height, reservoir depth, reservoir diameter, pump's rated power, turbine's rated power, charge pipe diameter, and discharge pipe diameter) are optimized with respect to two objective functions: total net present cost (TNPC) and loss of power supply probability (LPSP). To determine how TNPC is affected by the change of the input variables, a sensitivity analysis is conducted by varying capital cost of PV, PHS, and diesel generator. To obtain a well‐distributed and widely spread Pareto front, a multi‐objective chaotic crow search algorithm (MO‐CCSA) is introduced. Simulation results show that at LPSP = 0% and 5%, levelized cost of energy is around 0.59 and 0.55 $/kWh, respectively. Moreover, variation of the PV capital cost has a significant impact on the TNPC value.

“…An LPSP of “0” indicates that the load is satisfied. The acceptable LPSP value is related to the consumers' requirement 16,18,20,23 . LPS t ( t ) is energy deficit calculated during system simulation when the battery bank SOC reaches it minimum allowable value SOC min .…”

Section: Optimization Problem Formulationmentioning

confidence: 99%

Hybridization utility and size optimization of a stand‐alone renewable energy micro‐grid

Cherif

2020

Optimization of the stand‐alone micro‐grid is needed to minimize energy generation cost and environmental impacts. Protect the environment and saving cost can be obtained by choosing renewable energy sources as the power generation, such as photovoltaic (PV) and wind turbine. In this paper, authors investigate the hybridization utility and size optimization of a stand‐alone micro‐grid using the genetic algorithm. The considered micro‐grid consists on PV generator, wind turbines and storage batteries. This study is based on a bi‐objective optimization process. The life cycle cost (LCC) and the loss of power supply probability are respectively the economic criterion and the system reliability criterion under constraints. The energy modeling of the system's components enables energy flows simulation and further objective functions evaluation. The meteorological data of the location situated in Tunisia are considered. In order to study the resources randomness impact on systems optimal design, the data relating to December and August are used as references respectively to winter and summer. According to hybridization study, the hybrid PV/wind/battery system is the most appropriate system configuration for the studied location for both seasons compared to PV/battery or wind/battery. Results showed the significant influence of the battery bank design on the systems reliability and LCC.