Optimization and techno-economic analysis of photovoltaic-wind-battery based hybrid system. (December 2020)

• Record Type: Journal Article
• Authors: Anoune, Kamal; Ghazi, Mohamed; Bouya, Mohsine; Laknizi, Azzeddine; Ghazouani, Mokhtar; Abdellah, Abdellatif Ben; Astito, Abdelali
• Is Part Of: Journal of energy storage. Volume 32(2020)
• Publication Date: 2020-12
• Subjects: PV-Wind based hybrid system (PWHS) -- Levelized cost of energy (LCE) -- Loss of power supply probability (LPSP) -- Heuristic approach (HA) -- Genetic algorithm (GA); LCE Levelized cost of energy ($/kWh) -- LPSP Loss of power supply probability (%). -- PWHS PV-Wind based hybrid system. -- TPV Total present value ($). -- HA Heuristic Approach. -- GA Genetic Algorithm. -- HPS Hybrid power system. -- RES Renewable energy sources. -- WE Wind Energy. -- PV Photovoltaic panel. -- WT Wind Turbine -- NPV Number of 1kW of PV panel. -- NWT Number of 1kW of Wind turbine. -- Nbat Number of 1kW of berries capacity. -- PSO Particle swarm optimization -- MOPSO Multi-objective particle swarm optimization. -- Gmax Generation size. -- NP Population size. -- F Mutation rate (%). -- CR Crossing rate (%). -- Δt Step time of simulation (hours). -- LPS Loss of power supply (%). -- ELD Electric load demand (kWh). -- LP Laboratory prototype. -- CRF Capital recovery factor. -- i Interest rate (%). -- DoD Depth of discharge (%). -- AC Alternating current -- DC Direct current. -- PLC Programmable logic controller. -- EHS Electrical hybridization stations; Energy storage -- Periodicals; Energy storage -- Research -- Periodicals; 621.3126
• DOI: 10.1016/j.est.2020.101878
• Languages: English
• ISSNs: 2352-152X

Abstract

Highlights: Sizing-optimization of a multi-source renewable system using the genetic algorithm. Optimized configuration of PWHS and its energy exchange analysis was provided. Study of different effects of the LPSP ratio on the optimal size of PWHS. Desired LPSP was reached with LCE=0.1915 $/kWh. The results confirm that at least 96.32% of estimated PWHS production was achieved. Abstract: This research work focuses on a sizing-optimization of a hybrid multi-sources renewable energy system with electrochemical storage; these multi-sources are designed to supply the load demand of an industrial prototype. A heuristic approach based on a genetic algorithm is developed and programmed into MATLAB to solve the sizing-optimization problem. The objective function was considered by providing two minimums, namely the levelized cost of energy (LCE) and the loss of power supply probability (LPSP). Sizing-optimization solutions are obtained and analyzed using a time series energy exchange during a representative week in each season to decide the appropriate component size of a PV-Wind based hybrid system (PWHS). The lowest LPSP ratio corresponds to the higher LCE value and the opposite too. The optimal economic solution was: LCE= 0.1915 $/kWh for a given LPSP value, the correspondent PWHS configuration is composed of 9.5 kWp of PV panels, 1 kW of the wind turbine generator and 6.5 kWh of batteries capacities, thus represent a total present value (TPV) equal to 39541$. The experimental results occurred during a week in autumn; the measured energy flow of optimal PWHS configuration confirm at least 96.32% of the estimated energy production is reached.