• Energy Research

Most of electric power companies have introduced renewable energy which increases the power system uncertainty. It is expected that it increases the surplus and deficiency in power system supply. Thus, an energy storage systems and demand response are required for adjusting supply and demand. On the other hand, the power industries are exposed to competition, and needs an optimal operation to maximize their profits. So, Unit Commitment (UC) becomes an important issue. In this paper, the optimum capacity of energy storage system and demand response for UC in proposed.

A smart city is fundamentally intended to reduce the consumption of resources and optimize efficiencies. In almost any area, efficiency results in energy saving, reduced energy intensity, sustainable economic development, enhanced productivity, a protected environment, and most importantly, cooperation with the climate change battle. Although budget, technology, and the required infrastructure are major constraints for poor cities to achieve smart and sustainable city goals, the benefits of smart cities are multiple for poor cities compared to developing and developed cities. Poor cities achieve improved living environments, security, safety, economic development, governance, and quality of life in addition to achieving sustainable energy goals, and this study seeks to identify those smart renewable energy and energy efficiency strategies that are economically feasible and technically applicable in poor cities. The findings of this research would help poor and low-income, developing cities take the initial steps towards becoming smart cities by applying smart, innovative, and economically feasible sustainable energy projects and initiatives. As a result, these cities will be able to enhance their environment, economy, and employment by transitioning to smart ones.

The comparative analysis of load flow calculation methods are outlined in this study. Which is based on voltage stability constraints methodology to define an appropriate method for voltage stability studies at the critical point. Study of voltage stability and reliability analysis require a comprehensive investigation and stimulation efforts as an indispensable part of a power system operation and control. The critical point assessment is inclination point for researchers and power system operators. On the other hand, the load flow calculation at the critical point is the basis of voltage stability and reliability studies. So, the discernment of an appropriate calculation technique is essential. In this paper, the Jacobian matrix-based and variable-based, load flow techniques' comparative analysis are addressed. Which, a sharper focus is given on calculation deficiencies such over-determined system, minimal norm solutions for the under-determined systems, and singularity of the Jacobian matrix.

The main goal of this study is to evaluate the impact of restrictive measures introduced in connection with COVID-19 on consumption in renewable energy markets. The study will be based on the hypothesis that similar changes in human behavior can be expected in the future with the further spread of COVID-19 and/or the introduction of additional quarantine measures around the world. The analysis also yielded additional results. The strongest reductions in energy generation occurred in countries with a high percentage (more than 80%) of urban population (Brazil, USA, the United Kingdom and Germany). This study uses two models created with the Keras Long Short-Term Memory (Keras LSTM) Model, and 76 and 10 parameters are involved. This article suggests that various restrictive strategies reduced the sustainable demand for renewable energy and led to a drop in economic growth, slowing the growth of COVID-19 infections in 2020. It is unknown to what extent the observed slowdown in the spread from March 2020 to September 2020 due to the policy’s impact and not the interaction between the virus and the external environment. All renewable energy producers decreased the volume of renewable energy market supply in 2020 (except China).

Abstract The energy utility sector’s transition to an automated and managed energy endeavor in term of microgrid has hastened around the globe. Referring to the literature, the microgrid had been a matter of focus since decades ago. An exhaustive and customized project management methodology (framework) for microgrid projects can assure successful implementation and reliable operation. Such framework indispensably requires a multi-disciplinary investigation to cover technical, managerial, and sustainability aspects in a real-world application. For the first time, this study deals with these three domains also propounds a novel and customized framework for microgrid projects proper management, that comprising an optimum intersection of these certain measures. In addition to a glance review of the literature, this study tries to merge the project management principles and best practices into the microgrid lifecycle as an innovative practice that is emerging in the profession. The proposed methodology consists of the three main influential factors namely management, technical, and sustainability measures. Besides, this paper identifies the main challenges faced a microgrid project from initiation to sign-off (operation), as well as propound feasible solutions fit the identified problems.

It is not always the technical, financial, and environmental aspects of power projects that decisions are based on. There are many other political, social, and local issues shaping the decision-making processes. This research shows how political and social issues challenged the decision-making process of a high-voltage transmission line routing and how to avoid such unwanted consequences in similar projects. Our insights reveal the importance of risk, conflict, and stakeholder management techniques and strategies in successfully delivering power projects. When planning large energy projects, it is of utmost importance to engage and consult stakeholders, especially direct recipients, civil society, political parties, people’s representatives, and experts, in addition to the techno-economic considerations. Finally, it is suggested that there should be an authority at the country level responsible for deciding on routing, siting, prioritizing, and the strategic planning of power projects.

Extension of renewable energies in power system planning and operation especially distribution networks is not limited to power sustainability. It also encompasses many significant contributions such as eliminating electricity shortages by diversifying energy supply, improving reliability with power quality, reducing greenhouse gas emissions, and providing energy independence, which is the most crucial aspect for both developed and developing countries power sector. The extraction of such benefits in the best manner can be achieved by considering storage and control devices, aiding well‐configured electricity networks through competitive optimisation techniques. By taking such points into consideration, optimal multi‐configuration and allocation of step‐voltage regulators (SVRs), capacitor banks, and energy storage system along with centralised wind‐power generation integrating to distribution network are investigated and applied, using a novel and Pareto based epsilon multi‐objective genetic algorithm. The proposed methodology is applied to an extensive and real 162‐bus distribution network in Kabul city to validate its sturdiness. The simulations are performed in MATLAB® environment with six configuration scenarios to compare the effect of multiple arrangements in the distribution network, and to discover the best configuration fulfilling the optimisation criteria with the objective functions being as power loss, voltage deviation, and violation cost.

Within the framework of this study, the inductive analysis of voltage stability indices’ theoretical formulation, functionality, and overall performances are introduced. The prominence is given to investigate and compare the original indices from three main dimensions (formulation, assessment, and application) standpoints, which have been frequently used and recently attracted. The generalizability of an exhaustive investigation on comparison of voltage stability indices seems problematic due to the multiplicity of the indices, and more importantly, their variety in theoretical foundation and performances. This study purports the first-ever framework for voltage stability indices classification for power system analysis. The test results found that indices in the same category are coherent to their theoretical foundation. The paper highlights the fact that each category of the indices is functional for a particular application irrespective of the drawback ranking, and negated the application of the Jacobian matrix-based indices for online application. Finally, the research efforts put forward a novel classification of voltage stability indices within the main three aspects of formulation, assessment, and behavior analysis in a synergistic manner as an exhaustive reference for students, researchers, scholars, and practitioners related to voltage stability analysis. The simulation tools used were MATLAB® and PowerWorld®.