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The aim of the current paper is to present a mimetic algorithm called the chaotic evolutionary programming Powell’s pattern search (CEPPS) algorithm for the solution of the multi-fuel economic load dispatch problem. In the CEPPS algorithm, the exploration process is maintained by chaotic evolutionary programming, whereas exploitation is taken care off by a pattern search. The proposed CEPPS has two variants based on the Gauss map and the tent map. Seven generalized benchmark test functions and six cases of the multi-fuel economic load dispatch problem are considered for the performance analysis. It is observed from the analysis that the CEPPS solution procedure based on the tent map exhibits superiority to obtain an excellent solution and better convergence characteristics than traditional chaotic evolutionary programming. Further, the performance investigation for the considered economic load dispatch shows that the Gauss map CEPPS solution procedure performs better than the tent map based CEPPS to obtain the solution of the multi-fuel economic dispatch problem.
Nirbhow Singh; Shakti Singh; Vikram Chopra; Mohd Aftab; S. Hussain; Taha Ustun. Chaotic Evolutionary Programming for an Engineering Optimization Problem. Applied Sciences 2021, 11, 2717 .
AMA StyleNirbhow Singh, Shakti Singh, Vikram Chopra, Mohd Aftab, S. Hussain, Taha Ustun. Chaotic Evolutionary Programming for an Engineering Optimization Problem. Applied Sciences. 2021; 11 (6):2717.
Chicago/Turabian StyleNirbhow Singh; Shakti Singh; Vikram Chopra; Mohd Aftab; S. Hussain; Taha Ustun. 2021. "Chaotic Evolutionary Programming for an Engineering Optimization Problem." Applied Sciences 11, no. 6: 2717.
Renewable energy has become very popular in recent years. The amount of renewable generation has increased in both grid-connected and stand-alone systems. This is because it can provide clean energy in a cost-effective and environmentally friendly fashion. Among all varieties, photovoltaic (PV) is the ultimate rising star. Integration of other technologies with solar is enhancing the efficiency and reliability of the system. In this paper a fuel cell–solar photovoltaic (FC-PV)-based hybrid energy system has been proposed to meet the electrical load demand of a small community center in India. The system is developed with PV panels, fuel cell, an electrolyzer and hydrogen storage tank. Detailed mathematical modeling of this system as well as its operation algorithm have been presented. Furthermore, cost optimization has been performed to determine ratings of PV and Hydrogen system components. The objective is to minimize the levelized cost of electricity (LCOE) of this standalone system. This optimization is performed in HOMER software as well as another tool using an artificial bee colony (ABC). The results obtained by both methods have been compared in terms of cost effectiveness. It is evident from the results that for a 68 MWh/yr of electricity demand is met by the 129 kW Solar PV, 15 kW Fuel cell along with a 34 kW electrolyzer and a 20 kg hydrogen tank with a LPSP of 0.053%. The LCOE is found to be in 0.228 $/kWh. Results also show that use of more sophisticated algorithms such as ABC yields more optimized solutions than package programs, such as HOMER. Finally, operational details for FC-PV hybrid system using IEC 61850 inter-operable communication is presented. IEC 61850 information models for FC, electrolyzer, hydrogen tank were developed and relevent IEC 61850 message exchanges for energy management in FC-PV hybrid system are demonstrated.
Shakti Singh; Prachi Chauhan; Mohd Asim Aftab; Ikbal Ali; S. M. Suhail Hussain; Taha Selim Ustun. Cost Optimization of a Stand-Alone Hybrid Energy System with Fuel Cell and PV. Energies 2020, 13, 1295 .
AMA StyleShakti Singh, Prachi Chauhan, Mohd Asim Aftab, Ikbal Ali, S. M. Suhail Hussain, Taha Selim Ustun. Cost Optimization of a Stand-Alone Hybrid Energy System with Fuel Cell and PV. Energies. 2020; 13 (5):1295.
Chicago/Turabian StyleShakti Singh; Prachi Chauhan; Mohd Asim Aftab; Ikbal Ali; S. M. Suhail Hussain; Taha Selim Ustun. 2020. "Cost Optimization of a Stand-Alone Hybrid Energy System with Fuel Cell and PV." Energies 13, no. 5: 1295.
Hybrid renewable based power generation has emerged as a major breakthrough in electrical power system due to their capability of providing competitive and carbon free electricity to the consumer. This paper presents techno-economic analysis of a grid connected solar photovoltaic-fuel cell based hybrid energy system to supply the electrical load demands of a small shopping complex located at the University campus in India. The proposed system has been designed by considering the cost of energy purchase and sold to the utility grid and further ensuring the smooth power flow management between elements of the system and the utility grid. A simplified mathematical modeling of the proposed hybrid energy system, including power and hydrogen management has been presented to access the potential of hydrogen based energy systems. Component sizing to optimize the net present cost of the proposed system has been performed employing three meta-heuristic algorithms, i.e., artificial bee colony, particle swarm optimization and a hybrid of both. The experimental results obtained from three algorithms have been compared in terms of cost effectiveness of the system. The hybrid system has been designed to cater the total electricity demand of 135 MWh/yr of a small community center. It has emerged from the simulation results that the total electricity demand could be met with a 106 kW solar photovoltaic, 8 kW fuel cell, 45 kW electrolyzer and a 150 kg of hydrogen tank. The proposed grid connected system has 30 kW grid purchase and 25 kW grid sale capacities, respectively. In this paper, grid sale and purchase capacities have been considered as a decision variable along with other system component sizing. Loss of power supply probability is minimized along with objective function i.e., levelized cost of electricity (LCOE) using the exterior penalty method. It is evident from the results that the proposed system is economically viable with a LCOE of 0.104 $/kWh. It has emerged from the results that the proposed hybrid energy system may be helpful to promote hydrogen and solar based energy system to reduce the reliance on the overburden grid, particularly, in developing countries.
Shakti Singh; Prachi Chauhan; Nirbhowjap Singh. Capacity optimization of grid connected solar/fuel cell energy system using hybrid ABC-PSO algorithm. International Journal of Hydrogen Energy 2020, 45, 10070 -10088.
AMA StyleShakti Singh, Prachi Chauhan, Nirbhowjap Singh. Capacity optimization of grid connected solar/fuel cell energy system using hybrid ABC-PSO algorithm. International Journal of Hydrogen Energy. 2020; 45 (16):10070-10088.
Chicago/Turabian StyleShakti Singh; Prachi Chauhan; Nirbhowjap Singh. 2020. "Capacity optimization of grid connected solar/fuel cell energy system using hybrid ABC-PSO algorithm." International Journal of Hydrogen Energy 45, no. 16: 10070-10088.
High incursions of renewable energy sources (RESs) in microgrids have raised many voltage issues such as voltage fluctuations in the power system. These fluctuations can be controlled through power electronics (PE) interfaces with energy storage systems (ESSs). However, installation of conventional ESS is a costly affair. With recent developments in electric vehicles (EV) technologies, EVs have gained the potential to replace the traditional storage devices. This paper proposes an islanded microgrid integrated with EVs to facilitate energy storage, as well as to provide voltage regulation support. A voltage controller based on active power/voltage, i.e., P/V droop characteristic has been modeled which regulates the voltage by injecting or drawing active power of the EVs charging station. The desired active power regulation is achieved through the controlled charging and discharging of EVs in order to cater microgrid's and EV's needs simultaneously. Further, a control strategy has been developed for distribution of power among each EV by considering their individual charging/discharging requests. The suggested control scheme has been simulated on a microgrid and it has been verified that the proposed controller enhances reliability and stability of the considered microgrid.
Shakti Singh; Shubhangi Jagota; Mukesh Singh. Energy management and voltage stabilization in an islanded microgrid through an electric vehicle charging station. Sustainable Cities and Society 2018, 41, 679 -694.
AMA StyleShakti Singh, Shubhangi Jagota, Mukesh Singh. Energy management and voltage stabilization in an islanded microgrid through an electric vehicle charging station. Sustainable Cities and Society. 2018; 41 ():679-694.
Chicago/Turabian StyleShakti Singh; Shubhangi Jagota; Mukesh Singh. 2018. "Energy management and voltage stabilization in an islanded microgrid through an electric vehicle charging station." Sustainable Cities and Society 41, no. : 679-694.
This study presents an optimal sizing methodology for a stand-alone and grid connected PV-biomass hybrid energy system that serves the electricity demand of a typical village. However, this method is scalable and can be used in any test system. A recently developed artificial bee colony (ABC) algorithm is used to detect out the optimum hybrid system configuration with the least levelised cost of energy while minimising annualised cost of the system. It has been observed from the results that a grid connected hybrid PV-biomass system is cost effective and reliable choice for rural electrification as compared with stand-alone hybrid PV-biomass energy system. It has been emerged from this study that the proposed system offers reliable and affordable electricity in a sustainable way by harnessing locally available natural resources. A brief comparison of results obtained from the ABC algorithm and hybrid optimisation model for electric renewable (HOMER) has been carried out. Moreover, it is also observed from the results that the ABC algorithm provides better results as compared with HOMER.
Shakti Singh; Subhash Chandra Kaushik. Optimal sizing of grid integrated hybrid PV‐biomass energy system using artificial bee colony algorithm. IET Renewable Power Generation 2016, 10, 642 -650.
AMA StyleShakti Singh, Subhash Chandra Kaushik. Optimal sizing of grid integrated hybrid PV‐biomass energy system using artificial bee colony algorithm. IET Renewable Power Generation. 2016; 10 (5):642-650.
Chicago/Turabian StyleShakti Singh; Subhash Chandra Kaushik. 2016. "Optimal sizing of grid integrated hybrid PV‐biomass energy system using artificial bee colony algorithm." IET Renewable Power Generation 10, no. 5: 642-650.