Techno‐economic analysis of a PV–wind–battery–diesel standalone power system in a remote area

The global acceptance of solar and wind resources for power generation has continued to increase due to the fluctuation of world oil and gas prices, recent advances in technology, high prices of fossil fuels, no direct greenhouse gas emission from solar and wind resources and government policies to support utilisation of renewable energy resources (RESs). In recent times, RESs have become a potential alternative to supply electricity to the rural communities where the extension of transmission and distribution lines is difficult due to technical and financial barriers. In view of this, this study deals with the optimisation of net present cost (NPC), fuel cost, operation cost and cost of energy (COE) of the hybrid system which consists of photovoltaic (PV), wind turbine generator (WTG), diesel generator and battery storage system. A hybrid power system is designed in this research work to serve a remote community. The optimisation of the key performance indicators of the proposed hybrid power system is done by using the hybrid optimisation model for electric renewable (HOMER). The results obtained from this research work are analysed to select the best options among the available configurations based on the lowest NPC and COE produced by each configuration. The simulation results from several case studies show that incorporation of PV and WTG have reduced the operating cost of the system.http://digital-library.theiet.org/content/journals/joeam2018Electrical, Electronic and Computer Engineerin

Techno-economic effects of renewable energy technologies on a microgrid system for residential buildings

The availability of solar energy has encouraged the application of renewable energy technologies in the grid-connected power system. A microgrid (MG) system provides electricity to the local areas based on the load requirements and variations of local renewable energy resources. The objective of this study is to assess the technical and economic feasibility of an MG system. The economics of an MG is investigated with the aim of promoting renewable energy technologies such as photovoltaic and battery system. In view of this, the optimal configuration of the proposed MG system is achieved with the application of the HOMER software. In this study, the green technologies are applied in the grid-connected system that serves a medium-sized residential building. It can be seen from the study results that the proposed configuration of the MG system is cost-effective and environmentally friendly. This leads to the improvement in the annual cost savings and reduction of energy purchased, cost of energy, total net present cost and greenhouse gas emissions respectively

Cost-benefit analysis of wind power integra-tion in distribution networks

The capacity of power generation note needs to be increased globally, owing to population growth and industrial revolution. The conventional power plant across the world is inadequate to satisfy growing power demand. By optimally sizing and designing the clusters of renewable energy sources such as wind, microgrid operators can economically and environmentally sustainably provide a clean power solution that can increase the supply of electricity. Wind power (WP) generation can be utilised to reduce the stress on the power plants by minimising the peak demands in constrained distribution networks. Benefits of WP include increased energy revenue, increased system reliability, investment deferment, power loss reduction, and environmental pollution reduction. These will strengthen the performance of the power system and bring economic value to society. Moreover, many challenges are considered when integrating WP into the distribution system. These include protection device miscoordination, fundamental changes in the network topology, transmission congestion, bidirectional power flow, and harmonic current injections. In this paper, the economic cost and benefit analysis of optimal integration of WP into the distribution networks is investigated through a multi-objective analytical method. The aim is to see whether investment in the WP project is economically profitable and technically viable in the distribution system. The results obtained from the study can be utilised by power system operators, planners and designers as criteria to use WP for stimulating economic development and industrial revolution and can allow independent power producers to make appropriate investment decisions

Technical, economic, and environmental assessment of the distribution power system with the application of renewable energy technologies

DATA AVAILABILITY : Data will be made available on request.Renewable energy technologies (RETs) have been universally accepted as the prospective choice to increase the reliability of the power system and reduce the effects of emission cost (EC), fuel cost (FC), maintenance cost (MC), power loss (PL), total annual cost (TAC) and voltage deviation (VD). The performance indicators are used in the study to assess the effects of diesel generator (DG), electric storage system (ESS), photovoltaic (PV) and wind turbine generator (WTG) on the environmental, economic, and technical performance of a microgrid system with modified Roy Billiton Test System (RBTS) bus 4 distribution network. The proposed model is utilized to achieve the goals of the study by minimizing the costs that are identified with the power outages, TAC, MC, EC, FC, PL, and VD of the system with the application of an intelligent optimal control method based on the fmincon solver. The outcomes of the study can be used as benchmarks to assess the cost-effectiveness of increasing the capacity of universal power supply and resolve the universal power crisis owing to the depletion of fossil fuels. The study provides vital information to enhance the efficiency of the power system and the guidelines to promote the development of sustainable energy.https://www.elsevier.com/locate/renene2024-09-12hj2024Electrical, Electronic and Computer EngineeringSDG-07:Affordable and clean energ

Optimization of PV-wind-battery storage microgrid system utilizing a genetic algorithm

The sudden increase in power demand has put the utilization of renewable energy technologies (RETs) in a crucial position to reduce the number of people that have no access to the electrical power supply on the global note. The sustainable energy system is the cost effective technology to meet the load demand based on different applications and combinations of several components of RETs. In view of this, the optimization of an off-grid power system that comprises of the diesel generator, PV, WTG and ESS is investigated. This research work permits the load sharing among the components of a microgrid system as a criterion to harness the economic benefits of RETs. This paper presents the application of the GA to minimize the total cost of the proposed microgrid system. This optimization method is implemented in MATLAB environment and the simulation results indicate that minimum total cost is obtained from the technique. The GA is much simpler to implement and uses less computational time to solve the problem of the power system. The proposed algorithm can assist the distribution network operators to reduce the total cost that is related to the operation of a microgrid system