As promising solutions to various social and environmental issues, the generation and integration of renewable energy (RE) into microgrids (MGs) has recently increased due to the rapidly growing consumption of electric power. However, such integration can affect the stability and security of power systems due to its complexity and intermittency. Therefore, an optimal control approach is essential to ensure the efficiency, reliability, and quality of the delivered power. In addition, effective planning of policies for integrating MGs can help promote MG operations. However, outages may render these strategies inefficient and place the power system at risk. MGs are considered an ideal candidate for distributed power systems, given their capability to restore these systems rapidly after a physical or cyber-attack and create reliable protection systems. The energy management system (EMS) in an MG can operate controllable distributed energy resources and loads in real-time to generate a suitable short-term schedule for achieving some objectives. This paper presents a comprehensive review of MG elements, the different RE resources that comprise a hybrid system, and the various types of control, operating strategies, and goals in an EMS. A detailed explanation of the primary, secondary, and tertiary levels of MGs is also presented. This paper aims to contribute to the policies and regulations adopted by certain countries, their protection schemes, transactive markets, and load restoration in MGs.

Energy Management System in Microgrids: A Comprehensive Review

Techno-economic and environmental evaluation of PV/diesel/battery hybrid energy system using improved dispatch strategy

A critical survey of integrated energy system: Summaries, methodologies and analysis

Microgrid control methods toward achieving sustainable energy management: A bibliometric analysis for future directions

A comprehensive review of thermogravimetric analysis in lignocellulosic and algal biomass gasification

Energy demand has been overgrowing in developing countries. Moreover, the fluctuation of fuel prices is a primary concern faced by many countries that highly rely on conventional power generation to meet the load demand. Hence, the need to use alternative resources, such as renewable energy, is crucial in order to mitigate fossil fuel dependency, while ensuring reductions in carbon dioxide emissions. Algeria—being the largest county in Africa—has experienced a rapid growth in energy demand over the past decade due to the significant increase in residential, commercial, and industry sectors. Currently, the hydrocarbon-rich nation is highly dependent on fossil fuels for electricity generation, with renewable energy only having a small contribution to the country’s energy mix. However, the country has massive potential for renewable energy generation, such as solar, wind, biomass, geothermal, and hydropower. Therefore, the government aims to diversify away from fossil fuels and promote renewable energy generation through policies and renewable energy-related programs. The country’s Renewable Energy and Energy Efficiency Development Plan focuses on large scale solar, wind generation as well as geothermal and biomass technologies. This paper provides an update on the current energy position and renewable energy status in Algeria. Moreover, this paper discusses renewable energy (RE) policies and programs that aim to increase the country’s renewable energy generation and its implementation status.

https://www.mdpi.com/1996-1073/14/9/2354/pdf

Current Status, Scenario, and Prospective of Renewable Energy in Algeria: A Review

Energy demand has been overgrowing in developing countries. Moreover, the fluctuation of fuel prices is a primary concern faced by many countries that highly rely on conventional power generation to meet the load demand. Hence, the need to use alternative resources such as renewable energy is crucial to mitigate fossil fuel dependency alongside the reduction of Carbon Dioxide emission. Algeria’s being the largest county in Africa has rapid growth in energy demand since the past decade due to the significant increase of residential, commercial, and industry sectors. Currently, the hydrocarbon-rich nation highly dependent on fossil fuels for electricity generation, where renewable energy only has a small contribution to the country’s energy mix. However, the country has massive potential for renewable energy generations such as solar, wind, biomass, geothermal, and hydropower. Therefore, the government aims to diversify away from fossil fuel and promoting renewable energy generations through policies and renewable energy-related programs. The country’s Renewable Energy and Energy Efficiency Development Plan focuses on large scale solar, wind generation as well as geothermal and biomass technologies. This paper provides an update on the current energy position and renewable energy status in Algeria. Moreover, this paper discusses RE policies and programs that aim to increase the country’s renewable energy generation and its implementation status.

/pdf/current-status-scenario-and-prospective-of-renewable-energy-vgqaxnxpt9.pdf

A novel approach for sizing battery storage system for enhancing resilience ability of a microgrid

Microgrids (MGs) are considered an important part of the evolving power grid in terms of reliability, cost, and environmental impact of distributed generation systems. The main production resource in MGs is renewable energy (RE) sources which have grown even more recently. The energy management system in MGs has many features such as decreasing the power losses in transmission lines and flexibility of monitoring the distributed energy resources (DERs). However, the power output from the DERs may get badly affected due to the intermittent nature of RE connected with the MGs system. Therefore accurate short-term solar generation forecasting is an important issue in MG to predict the required amount of power to be dispatched by DERs, which can lead to economic advantages for end-users. In this chapter, a comparative study of different machine learning (ML) approaches has been applied for forecasting solar radiation and temperature. In the proposed method, the most applied models in ML such as linear regression, random forest (RF) regression, K-nearest neighbors, support vector machines (SVMs) models are compared. We assessed the performance of ML proposed by evaluation of the root mean square error, and then investigated the influences of the parameter’s techniques. The simulation result shows that RF and SVM perform well in the short-term forecasting of solar irradiation and temperature. 

Younes Zahraoui

Papers

Energy Management System in Microgrids: A Comprehensive Review

Current Status, Scenario, and Prospective of Renewable Energy in Algeria: A Review

Current Status, Scenario, and Prospective of Renewable Energy in Algeria: A Review

A novel approach for sizing battery storage system for enhancing resilience ability of a microgrid

Machine learning algorithms used for short-term PV solar irradiation and temperature forecasting at microgrid