Systematic categorization of optimization strategies for virtual power plants

Due to the rapid growth in power consumption of domestic and industrial appliances, distributed energy generation units face difficulties in supplying power efficiently. The integration of distributed energy resources (DERs) and energy storage systems (ESSs) provides a solution to these problems using appropriate management schemes to achieve optimal operation. Furthermore, to lessen the uncertainties of distributed energy management systems, a decentralized energy management system named virtual power plant (VPP) plays a significant role. This paper presents a comprehensive review of 65 existing different VPP optimization models, techniques, and algorithms based on their system configuration, parameters, and control schemes. Moreover, the paper categorizes the discussed optimization techniques into seven different types, namely conventional technique, offering model, intelligent technique, price-based unit commitment (PBUC) model, optimal bidding, stochastic technique, and linear programming, to underline the commercial and technical efficacy of VPP at day-ahead scheduling at the electricity market. The uncertainties of market prices, load demand, and power distribution in the VPP system are mentioned and analyzed to maximize the system profits with minimum cost. The outcome of the systematic categorization is believed to be a base for future endeavors in the field of VPP development

Feasibility assessment of hybrid solar photovoltaic-biogas generator based charging station : a case of easy bike and auto rickshaw scenario in a developing nation

The popularity of electric vehicles (EVs) is increasing day by day in the modern world. The charging of EVs from grid-connected charging stations causes a considerable power crisis in the grid. Integrating renewable energy resources (RESs) with conventional energy sources in the power grid is now considered feasible to reduce peak power demand and the inevitable emission effect. Hence, this paper presents an energy solution for EV charging with two RESs, namely, solar photovoltaic (PV) and biogas. HOMER software is utilized to analyze the potency and functionality of solar PV and biogas-based EV charging stations. The proposed system consists of a solar PV system, two biogas engine generators, and a bidirectional converter with battery storage. The variation of different costs, such as net present cost (NPC), initial cost, and cost of energy (COE) for different solar PV systems (3 kW, 4.5 kW, 6 kW, and 9 kW), are analyzed in HOMER software. The 4.5 kW solar PV system is finally selected as the NPC, initial cost, and COE are $93,530,$19,735, and $0.181, respectively, which is efficient. The system’s lifetime is 25 years, where an initial 12 years is required to overcome the system cost, and the remaining 13 years will provide financial benefits. The study also illustrates the effect of solar irradiance, biomass, and the change in the load of the energy management system. The techno−economic analysis shows that the proposed scheme can be an effective energy solution. The emission of greenhouse gases (GHGs), such as CO2, CO, SO2, and NOX, is reduced considerably compared to other existing techniques. The study is expected to be beneficial in renewables-based EV charging systems with techno−economic and environmental feasibility

Virtual Inertia Support in Power Systems for High Penetration of Renewables - Overview of Categorization, Comparison, and Evaluation of Control Techniques

By replacing conventional generation units with renewable energy sources (RESs), the power system gains an alternate source of future power generation and a better environmental platform. RESs, on the other hand, are unable to provide the required power demand due to poor inertia responses and low-frequency stability. As a result, multiple inertia augmentation control strategies were developed to increase frequency stability and maximize power usage in the grid-integrated renewable energy systems. Accordingly, this study thoroughly reviews existing virtual inertia control (VIC) strategies for improving inertia response and frequency stability. This study investigates 51 VIC approaches regarding required parameters, configurations, key contributions, sources, controllers, and simulation platforms. Furthermore, to emphasize the most promising ones, the VIC approaches are classified as intelligent, adaptive, derivative, coordinated control, and other VIC techniques. The classification approach is followed by the system configuration and the mode of operation of each control scheme. Integrating intelligent methods, such as fuzzy logic, genetic algorithm, non-convex optimization, and heuristic optimization, signify intelligent control methods. In contrast, adaptive control schemes emphasize the adaptation of control operations. These studies include both the standalone and grid-connected RESs frequency and power control approaches with necessary mathematical modelling and equations, which are rarely available in the recent existing works. The current state of research on improving frequency stability and inertia response in the grid-integrated RESs is discussed. Finally, this literature review reflects the present status of VIC technique research paths, and the categorization and analysis of these approaches demonstrate an extensive insight into the research field.Open Access funding provided by the Qatar National Library

COVID-19 vaccine-taking hesitancy among Bangladeshi people: knowledge, perceptions and attitude perspective

Several novel efforts have been put forth to make a readily available vaccine against the global pandemic of COVID-19. However, there seems to appear vaccine-taking hesitancy among the general people. Against this backdrop, this current study sets to assess the vaccine-taking intention, ways to overcome the vaccine-taking reluctance among Bangladeshi people and explore their knowledge, perceptions, and attitude toward the COVID-19 vaccine. To this end, this study leveraged on a cross-sectional survey, which was consisted of 1377 respondents covering the eight divisions of Bangladesh. The descriptive statistical method and ordinal logistics regression were employed to explore and rationalize our study outlined objectives. Empirical findings revealed that approximately 71% of the respondents had adequate knowledge about the COVID-19 vaccine, whereas 46% of the respondents were willing to be vaccinated against COVID-19 while the rest of the respondents were hesitant to take the vaccine. However, concern about the potential side effects was one of the core reasons for vaccine-taking hesitancy. Assuring the common people about vaccine safety and efficacy, along with easing the registration procedure, can ameliorate people’s confidence to get vaccinated. Meanwhile, about 60% of the respondents believed that a vaccine could help Bangladesh win the battle against COVID-19 and will allow back to normal life. Although the government has taken some pragmatic action steps to promote the vaccination rate, it is recommended that the mass vaccination program should be extended to the grassroots level with proper extension community support and easing the registration process

Scaling the changes in lifestyle, attitude, and behavioral patterns among COVID-19 vaccinated people: insights from Bangladesh

With the advent of COVID-19 vaccines, countries around the globe are anticipating a way out from the pandemic. Despite being an initiative to contain the COVID-19 virus spreading, the mass vaccination program also raised concerns about its consequences on the lifestyle, attitude, and behavioral pattern of vaccinated people in the post-vaccination period. With this in mind, this study investigated changes in lifestyle, attitude, and behavior among vaccinated people in Bangladesh. A cross-sectional survey was conducted incorporating 1227 COVID-19 vaccinated respondents from eight divisions of Bangladesh. The relative importance index (RII) was used to assess the most compelling lifestyle, attitude, and behavior changes, while binary logistic regression was used to identify factors driving the changes. Findings disclosed that respondents increased the physical contact with non-vaccinated ones and amplified consuming nutritious food after vaccination. The inclination of avoiding distance, handshaking, abandoning sanitizer and mask, visiting crowded places, traveling, and staying outside longer was found to be increased among vaccinated individuals. Surprisingly, about seven out of ten surveyed respondents exhibited a sedentary lifestyle, while 67.37% of respondents showed negative behavioral changes following the vaccination period. A positive attitude was observed in encouraging others to be vaccinated against COVID-19. However, 92% of the respondents positively changed their attitude toward the COVID-19 vaccine after vaccination. Furthermore, the participants’ age, residence, economic status, and educational level influenced lifestyle, attitude, and behavioral changes positively. The study recommends informing citizens about the opacity of vaccinations’ ability to contain infections and encouraging them to continue following COVID-19 protective guidelines

COVID-19 vaccine acceptability among public university students in Bangladesh: Highlighting knowledge, perceptions, and attitude

Across many parts of the globe, the educational system is under a complete shutdown, falling victim to health-safety concerns of the deadly COVID-19; and Bangladesh is no exception. Reportedly, the Bangladesh government prioritized resuming public universities after bringing all the students under vaccination. However, little is known about students’ intention toward the COVID-19 vaccines in Bangladesh. Under the circumstances, this study attempted to assess the COVID-19 vaccine-related knowledge, perceptions, attitude, and acceptability of a COVID-19 vaccine of public university students. Besides, factors affecting the degrees of COVID-19 vaccine-related knowledge, perceptions, attitudes, and vaccine acceptability were also explored. Results from descriptive analyses revealed that most of the respondents showed positive attitudes toward a COVID-19 vaccine, while 78% of them found to have adequate knowledge. Nevertheless, 37% of students exhibiting negative perceptions about the vaccine raised our concern. However, 72.7% of respondents intended to take a COVID-19 vaccine. Outcomes of multinomial logistic model showed that knowledge, perceptions, and attitudes significantly varied across the level of education, residence area, and COVID-19 infection history of the respondents. Further, findings of binary logistic model reported that female students, students of low family income, those free from COVID-19 infection, students having inadequate knowledge, and negative perceptions and attitudes toward the vaccine were susceptible to vaccine hesitancy and resistance. Indeed, our research will assist the authorities in better understanding the students’ attitudes toward the COVID-19 vaccines and in developing appropriate policies for a successful vaccination campaign in Bangladesh and other countries with similar background