Optimal sizing and multi‐energy management strategy for PV‐biofuel‐based off‐grid systems

Abstract

This study proposes a comprehensive framework for developing a multi-energy off-grid microgrid with the decoupled flow of thermal and electrical energies in a rural setting. A carbon-neutral microgrid with a hybrid generation system constituting a photovoltaic unit and a biofuel generator is proposed. In order to enhance the fuel utilisation efficiency, the biofuel generator is operated in combined cooling, heating, and power mode, and the recovered thermal energy forms the heat distribution network in the microgrid. The flexibility of system operation is improved by suitable multi-energy (electrical and thermal) storage. Firstly, an optimal sizing framework has been developed for the system as a mixed integer linear programming model. Secondly, a coordinated multi-energy management system (MEMS) has been developed for combined optimal dispatch of multiple generation and storage resources. The MEMS has been developed as a mixed integer non-linear programming model, which minimises system operational cost while considering minimum battery degradation to prolong its lifetime. Finally, a detailed economic analysis of the proposed system has been presented, highlighting the levellised cost of energy and net present value. Extensive case studies and simulation results depict the effectiveness and suitability of the proposed MEMS for the rural off-grid microgrid.

Artificial intelligence and corporate carbon neutrality: A qualitative exploration

“…Of these, the emphasis on the development of predictive and other models was quite apparent, with studies proposing models such as a fuzzy logic-based model for predicting the concentration of harmful emissions in flue gases arising from combustion of coal and biomass (Krzywanski et al, 2022), a theoretical intelligent strategic bidding simulation model for the electricity market (Wu et al, 2022), and a T A B L E 1 Literature review. et al, 2021a), residential buildings (Tien et al, 2020), and off-grid microgrid (Kumar et al, 2019).…”

“…Of these, the emphasis on the development of predictive and other models was quite apparent, with studies proposing models such as a fuzzy logic‐based model for predicting the concentration of harmful emissions in flue gases arising from combustion of coal and biomass (Krzywanski et al, 2022), a theoretical intelligent strategic bidding simulation model for the electricity market (Wu et al, 2022), and a transfer learning routine to support real‐time energy management for plug‐in hybrid electric vehicles (PHEVs; Zhou et al, 2022b). Several other studies developed AI‐based models for energy management in different contexts, such as smart homes (Rocha et al, 2021), manufacturing (Huang et al, 2019; Xi et al, 2021), PHEVs (Zhao et al, 2021a), residential buildings (Tien et al, 2020), and off‐grid microgrid (Kumar et al, 2019).…”

A Review of Research on Dynamic and Static Economic Dispatching of Hybrid Wind–Thermal Power Microgrids

“…As microgrids scale up and operating conditions become more complex, researchers have begun to introduce mixed-integer programming methods into static economic dispatch models of microgrids to better address nonlinear problems. Arun Kumar V et al [21] used a mixed-integer nonlinear programming model in a hybrid generation system consisting of wind-solar units and fuel-based generators to minimize the operating cost of the system and to flatten the cost of electricity by 25% compared to other similar works. This method also considered discrete decision problems such as the start-up, shutdown, and switching of generator units but the difficulty and computational complexity of solving mixed-integer programming problems remain significant.…”

Transformerless Multilevel Voltage-Source Inverter Topology Comparative Study for PV Systems

“…The greater use of Photovoltaic (PV) systems is, essentially, due to the decrease in cell production costs, which means that the return on investment occurs in less time. At present, solar energy is consolidated as a competitive option for both the industrial and residential sectors [4]. Figure 1 shows the increase in electrical production per year of the main clean sources.…”