An energy management system of campus microgrids:State-of-the-art and future challenges

The multiple uncertainties in a microgrid, such as limited photovoltaic generations, ups and downs in the market price, and controlling different loads, are challenging points in managing campus energy with multiple microgrid systems and are a hot topic of research in the current era. Microgrids deployed at multiple campuses can be successfully operated with an exemplary energy management system (EMS) to address these challenges, offering several solutions to minimize the greenhouse gas (GHG) emissions, maintenance costs, and peak load demands of the microgrid infrastructure. This literature survey presents a comparative analysis of multiple campus microgrids’ energy management at different universities in different locations, and it also studies different approaches to managing their peak demand and achieving the maximum output power for campus microgrids. In this paper, the analysis is also focused on managing and addressing the uncertain nature of renewable energies, considering the storage technologies implemented on various campuses. A comparative analysis was also considered for the energy management of campus microgrids, which were investigated with multiple optimization techniques, simulation tools, and different types of energy storage technologies. Finally, the challenges for future research are highlighted, considering campus microgrids’ importance globally. Moreover, this paper is expected to open innovative paths in the future for new researchers working in the domain of campus microgrids

Load Frequency Control (LFC) Strategies in Renewable Energy‐Based Hybrid Power Systems:A Review

The hybrid power system is a combination of renewable energy power plants and conventional energy power plants. This integration causes power quality issues including poor settling times and higher transient contents. The main issue of such interconnection is the frequency variations caused in the hybrid power system. Load Frequency Controller (LFC) design ensures the reliable and efficient operation of the power system. The main function of LFC is to maintain the system frequency within safe limits, hence keeping power at a specific range. An LFC should be supported with modern and intelligent control structures for providing the adequate power to the system. This paper presents a comprehensive review of several LFC structures in a diverse configuration of a power system. First of all, an overview of a renewable energy-based power system is provided with a need for the development of LFC. The basic operation was studied in single-area, multi-area and multi-stage power system configurations. Types of controllers developed on different techniques studied with an overview of different control techniques were utilized. The comparative analysis of various controllers and strategies was performed graphically. The future scope of work provided lists the potential areas for conducting further research. Finally, the paper concludes by emphasizing the need for better LFC design in complex power system environments

Optimal energy management of a campus microgrid considering financial and economic analysis with demand response strategies

An energy management system (EMS) was proposed for a campus microgrid (µG) with the incorporation of renewable energy resources to reduce the operational expenses and costs. Many uncertainties have created problems for microgrids that limit the generation of photovoltaics, causing an upsurge in the energy market prices, where regulating the voltage or frequency is a challenging task among several microgrid systems, and in the present era, it is an extremely important research area. This type of difficulty may be mitigated in the distribution system by utilizing the optimal demand response (DR) planning strategy and a distributed generator (DG). The goal of this article was to present a strategy proposal for the EMS structure for a campus microgrid to reduce the operational costs while increasing the self-consumption from green DGs. For this reason, a real-time-based institutional campus was investigated here, which aimed to get all of its power from the utility grid. In the proposed scenario, solar panels and wind turbines were considered as non-dispatchable DGs, whereas a diesel generator was considered as a dispatchable DG, with the inclusion of an energy storage system (ESS) to deal with solar radiation disruptions and high utility grid running expenses. The resulting linear mathematical problem was validated and plotted in MATLAB with mixed-integer linear programming (MILP). The simulation findings demonstrated that the proposed model of the EMS reduced the grid electricity costs by 38% for the campus microgrid. The environmental effects, economic effects, and the financial comparison of installed capacity of the PV system were also investigated here, and it was discovered that installing 1000 kW and 2000 kW rooftop solar reduced the GHG generation by up to 365.34 kg CO2/day and 700.68 kg CO2/day, respectively. The significant economic and environmental advantages based on the current scenario encourage campus owners to invest in DGs and to implement the installation of energy storage systems with advanced concepts

Facilitators and barriers to NCD prevention in Pakistanis-invincibility or inevitability: a qualitative research study.

Background: Non-communicable diseases (NCD) are the leading causes of death globally. In Pakistan, they are among the top ten causes of mortality, especially in the productive age group (30–69 years). Evidence suggests that health perceptions and beliefs strongly influence the health behavior of an individual. We performed focus group interviews to delineate the same so as to design the user interface of a non-invasive stroke risk monitoring device. Methods: It was a qualitative study, designed to explore how health perceptions and beliefs influence behavior for NCD prevention. Four focus group discussions (FGD) were conducted with 30 stable participants who had diabetes mellitus, ischemic heart disease, blood pressure, and stroke. The data was collected using a semi-structured interview guide designed to explore participants’ perceptions of their illnesses, self-management behaviors and factors affecting them. The interviews were transcribed and content analysis was done using steps of content analysis by Morse and Niehaus [10]. Results: Medication adherence, self-monitoring of blood sugars and blood pressures, and medical help seeking were the commonly performed self-management behaviors by the participants. Personal experience of illness, familial inheritance of disease, education and fear of premature death when life responsibilities were unfulfilled, emerged as strong facilitators of self-management behaviors. A sense of personal invincibility, Fatalism or inevitability, lack of personal threat realization, limited knowledge, inadequate health education, health care and financial constraints appeared as key barriers to the self-management of chronic disease in participants. Conclusions: Behavioural interventional messaging will have to engender a sense of personal vulnerability and yet empower self-efficacy solutions at the individual level to deal with both invincibility and inevitability barriers to adoption of healthy behavior

Scheduling and Sizing of Campus Microgrid Considering Demand Response and Economic Analysis

Current energy systems face multiple problems related to inflation in energy prices, reduction of fossil fuels, and greenhouse gas emissions which are disturbing the comfort zone of energy consumers and the affordability of power for large commercial customers. These kinds of problems can be alleviated with the help of optimal planning of demand response policies and with distributed generators in the distribution system. The objective of this article is to give a strategic proposition of an energy management system for a campus microgrid (µG) to minimize the operating costs and to increase the self-consuming energy of the green distributed generators (DGs). To this end, a real-time based campus is considered that currently takes provision of its loads from the utility grid only. According to the proposed given scenario, it will contain solar panels and a wind turbine as non-dispatchable DGs while a diesel generator is considered as a dispatchable DG. It also incorporates an energy storage system with optimal sizing of BESS to tackle the multiple disturbances that arise from solar radiation. The resultant problem of linear mathematics was simulated and plotted in MATLAB with mixed-integer linear programming. Simulation results show that the proposed given model of energy management (EMS) minimizes the grid electricity costs by 668.8 CC/day ($) which is 36.6% of savings for the campus microgrid. The economic prognosis for the campus to give an optimum result for the UET Taxila, Campus was also analyzed. The general effect of a medium-sized solar PV installation on carbon emissions and energy consumption costs was also determined. The substantial environmental and economic benefits compared to the present situation have prompted the campus owners to invest in the DGs and to install large-scale energy storage

Sustainable Solutions for Advanced Energy Management System of Campus Microgrids: Model Opportunities and Future Challenges

Distributed generation connected with AC, DC, or hybrid loads and energy storage systems is known as a microgrid. Campus microgrids are an important load type. A university campus microgrids, usually, contains distributed generation resources, energy storage, and electric vehicles. The main aim of the microgrid is to provide sustainable, economical energy, and a reliable system. The advanced energy management system (AEMS) provides a smooth energy flow to the microgrid. Over the last few years, many studies were carried out to review various aspects such as energy sustainability, demand response strategies, control systems, energy management systems with different types of optimization techniques that are used to optimize the microgrid system. In this paper, a comprehensive review of the energy management system of campus microgrids is presented. In this survey, the existing literature review of different objective functions, renewable energy resources and solution tools are also reviewed. Furthermore, the research directions and related issues to be considered in future microgrid scheduling studies are also presented

A State-of-the-Art Review of Smart Energy Systems and Their Management in a Smart Grid Environment

A smart grid (SG), considered as a future electricity grid, utilizes bidirectional electricity and information flow to establish automated and widely distributed power generation. The SG provides a delivery network that has distributed energy sources, real-time asset monitoring, increased power quality, increased stability and reliability, and two-way information sharing. Furthermore, SG provides many advantages, such as demand response, distribution automation, optimized use of electricity, economical energy, real-time grid status monitoring, voltage regulation or VAR control, and electricity storage. In this survey, we explore the literature on smart Grid enabling technologies until 2022. We dig out four major systems: (1) the smart grid’s prominent features and challenges; (2) the smart grid standard system and legislations; (3) smart grid energy subsystem; and (4) the smart grid management system and protection system for new researchers for their future projects. The research challenges and future recommendations are also presented in the conclusion section to explore the new paradigm

3E analyses of battery-assisted photovoltaic-fuel cell energy system: Step towards green community

Diesel generator-based energy systems (DGES) are often utilized for rural electrification, which is neither economical nor an eco-friendly choice. Also, fuel logistics in rural areas and uncertain varying prices of diesel are obstacles that make the DGES technically and economically unfeasible. Thus, a battery-assisted photovoltaic-fuel cell (PV-FC) green energy system (GES) is proposed to meet the energy demand of the rural community in Pakistan. 3E (energy, economic, and environmental) analyses are conducted to access the feasibility of GES in all three domains. The sensitivity analyses are performed to evaluate the effect of the most uncertain parameters on the economy of GES. In addition, the proposed GES is contrasted with DGES. It is investigated that the TNPC and COE of the proposed GES are 15% and 38.4% less expensive than DGES. The proposed GES contributes no emissions to the environment saving 384.47 tons/yr of greenhouse gas emissions as compared to DGES. Furthermore, no significant difference in the technical performance of both DGES and GES is observed. Hence, it is concluded that the proposed GES is financially, technically, and environmentally a feasible solution for rural electrification. Finally, future work is recommended to further explore this research direction