Abstract
Renewable energy systems serve as a sustainable alternative to fossil fuels, deriving from natural ongoing energy flows in our surroundings. These systems encompass the production, storage, transmission, distribution, and consumption of energy. Renewable energy systems offer numerous advantages, such as reliability, environmental friendliness, absence of harmful emissions or pollutants, low or zero carbon and greenhouse gas emissions, reduced maintenance compared to non-renewable sources, cost savings, job creation, and independence from refueling requirements. This chapter provides an overview of various types of renewable energy systems, with a focus on solar/wind/battery or solar/wind/diesel with battery storage integrated energy systems. This chapter also covers the technical and economic aspects of different types of HRES and their comparative results. Based on the findings of this review, the chapter proposes a novel configuration for an off-grid hybrid renewable energy system designed for electrification in rural areas
TopBackground
Sources of energy that can be obtained naturally without depleting the planet's resources are known as renewable energies. These sources comprise solar, wind, hydro, geothermal, biomass, and biofuels. Renewable energies are cleaner and more sustainable than non-renewable energies like oil, gas, and coal, which are finite and emit large amounts of greenhouse gases. The technologies to capture and utilize renewable energies have improved in recent years, making their use increasingly viable and economical. Renewable energies are a crucial solution to combat climate change and reduce dependence on fossil fuels (Vendoti et. al., 2021). Investing in these energy sources can create jobs and promote sustainable economic development. In conclusion, renewable energies are a vital alternative to ensure a cleaner and safer future for future generations.
Hybrid renewable energy systems utilize multiple renewable energy sources to produce electricity, making them particularly advantageous in areas with limited or unstable access to traditional power grids. For instance, a hybrid system may incorporate both solar and wind energy, with solar panels generating electricity during the day and storing it in batteries for later use, while wind energy conversion systems generate additional electricity at night. Alternatively, a hybrid system may combine solar and hydro energy, with solar panels generating electricity during the day to pump water from a river or lake to a dam, which can then be released at night through a hydro turbine to generate additional electricity [Suresh et.al. (2020)].
Hybrid renewable energy systems possess the potential to surpass the efficiency and reliability of single-source energy systems. Moreover, they enable optimal utilization of existing resources and contribute to the reduction in energy generation costs. Consequently, the popularity of hybrid systems is on the rise globally, particularly in rural or remote regions.
This chapter aims to simplify the comprehension of hybrid renewable energy systems for beginners and present organized and detailed information. Unlike other summaries found in literature, it specifically addresses the unique features of the systems used in individual case studies. This approach enables a more thorough investigation and simplifies the identification of articles that align with the desired specifications for designing a hybrid renewable energy system (HRES).
The subsequent section conducted a comprehensive investigation of the relevant and hypothetical literature.
Key Terms in this Chapter
PV-FPP: PV Floating Power Plants
BESS: Battery Energy Storage System
DRP: Distribution Resource Plan
SCA: Sine Cosine Algorithm
PBC: Passivity-Based Control
IHOGA: Improved Hybrid Optimization by Genetic Algorithms
PSCAD: Power Systems Computer Aided Design
HTS: Hydro Thermal Scheduling
ICA: Imperialist Competitive Algorithm
Matlab: Matrix Laboratory
HRE-MG: Hybrid Renewable Energy – Micro Grid
PSO: Particle Swarm Optimization
LCC: Life Cycle Cost
DG/LI: Diesel Generator/ Lithium Ion
WDPS: Wind–Diesel Power Systems
HEPP: Hydro Electric Power Plants
DG/LA: Diesel Generator/ Lead Acid
CCHP: Combined Cooling, Heat and Power
DHRES: Distributed Hybrid Renewable Energy System
HRES: Hybrid Renewable Energy System
PMG: Permanent Magnet Generator
HESS: Hybrid Energy Storage System
HMGS: Hybrid Micro-Grid Systems
MHK-PHS: Micro-Hydrokinetic Pumped Hydro Storage
PID: Proportional Integral Controller
PV: Photo Voltaic DG – Distributed Generation
HOMER: Hybrid Optimization Model for Electric Renewable
ANFIS: Artificial Neuro Fuzzy Interface System
FC-SCESS: Fuel Cell – Energy Storage System
ARMA: Autoregressive Moving Average
EAHEs: Earth-to-Air Heat Exchangers
s-NSGA-II: Scenario-Non-Dominated Sorting Genetic Algorithm II
MPPT: Maximum Power Point Tracking
GA: Genetic Algorithm
CLONALG: Clonal Selection Algorithm
HPS: Hybrid Power System
WD: Wind Diesel
AGC: Automatic Generation Control
MPCP: Model Predictive Current and Power
SMEs: Superconducting Magnetic Energy Storage
RES: Renewable Energy Sources
CHP: Combined Heat and Power
O&M: Operation and Maintenance
EMPC: Economic Model Predictive Control
SPCC: Solar-assisted Post-combustion Carbon Capture
SVC: Static VAR Compensator
DMGWO: Discrete Multiobjective Grey Wolf Algorithm
T-PEM: Two-point Estimate Method
FC-BESS: Fuel Cell – Battery Energy Storage System
PMSG: Permanent Magnet Synchronous Generator
DG/ZB: Diesel Generator/ Zinc Bromine
LECs: Levelized Electricity Costs
TCSC: Thyristor-Controlled Series Compensation
GWO: Grey Wolf Optimization
LFC: Load Following Cycle
LPSP: Loss of Power Supply Probability