Optimized power flow management based on Harris Hawks optimization for an islanded DC microgrid

Mohan, Harin M.; Dash, Santanu Kumar

doi:10.1515/ehs-2022-0153

Cited by 4 publications

(2 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A novel hourly energy supervisory control was analysed in [34] where wind, PV, and hydrogen energy were considered uncertainties in the solar irradiance. The authors of [35] proposed an intelligent optimization-based EMS for an islanded DC microgrid. The authors presented an energy management strategy with hourly variations in wind and solar irradiance [36].…”

Section: Literature Reviewmentioning

confidence: 99%

Renewable Energy-Based DC Microgrid with Hybrid Energy Management System Supporting Electric Vehicle Charging System

Mohan

Dash

2023

Systems

Self Cite

View full text Add to dashboard Cite

Growing Electric vehicle (EV) ownership leads to an increase in charging stations, which raises load demand and causes grid outages during peak hours. Microgrids can significantly resolve these issues in the electrical distribution system by implementing an effective energy management approach. The suggested hybrid optimization approach aims to provide constant power regardless of the generation discrepancy and should prevent the early deterioration of the storage devices. This study suggests using a dynamic control system based on the Fuzzy-Sparrow Search Algorithm (SSA) to provide a reliable power balance for microgrid (MG) operation. The proposed DC microgrid integrating renewable energy sources (RES) and battery storage system (BSS) as sources are designed and evaluated, and the findings are further validated using MATLAB Simulink simulation. In comparing the hybrid SSA strategy with the most widely used Particle Swarm Optimization (PSO)-based power management, it was observed that the hybrid SSA approach was superior in terms of convergence speed and stability. The effectiveness of the given energy management system is evaluated using two distinct modes, the variation of solar irradiation and the variation of battery state of charge, ensuring the microgrid’s cost-effective operation. The enhanced response characteristics indicate that the Fuzzy-SSA can optimise power management of the DC microgrid, making better use of energy resources. These results show the relevance of algorithm configuration for cost-effective power management in DC microgrids, as it saves approximately 7.776% in electricity expenses over a year compared to PSO.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Renewable Energy-Based DC Microgrid with Hybrid Energy Management System Supporting Electric Vehicle Charging System

Mohan

Dash

2023

Systems

Self Cite

View full text Add to dashboard Cite

show abstract

“…In this case, the power conversion systems, i.e., rectifiers and inverters, are used to connect DC loads and DC generation units. On the other hand, DC MGs have gained attention due to the increasing amount of DC loads in recent years, e.g., Electric Vehicles (EVs) [3]- [5].…”

Section: Introductionmentioning

confidence: 99%

Energy Management of Multi-Area Islanded Hybrid Microgrids: A Stochastic Approach

Ibrahim,

Hasanien,

Farag

et al. 2023

IEEE Access

View full text Add to dashboard Cite

This paper provides a stochastic framework for the energy management of multi-area hybrid microgrids to identify the optimal daily power dispatch in the islanded mode of operation. The primary goal of this framework is to minimize operational costs and power outages for customers by effectively managing the power resources of the hybrid microgrid. These resources include renewable energy sources, battery energy storage systems, and electric vehicles. To obtain accurate results, the costs related to active and reactive powers of diesel generator units are considered in this study. In addition, the uncertainties in the, power generated from renewable energy sources, electric vehicles charging and microgrid demand are modeled using the Monte Carlo Simulation as a scenario generation technique. The number of generated scenarios is reduced using the Fast Forward Scenario reduction technique. The proposed problem is formulated as a constrained mixed-integer nonlinear programming optimization problem and is solved using the Transient Search Optimization algorithm. The obtained solution is compared against other meta-heuristic optimization techniques to ensure the reliability of the results. To investigate the effectiveness of the proposed framework, several case studies are simulated on an islanded hybrid microgrid. The simulation results show the improvement in the economic performance and the reliability of the hybrid MG. The results also indicate the impact of increasing penetration levels of renewable energy resources on the operation cost and power exchange between AC and DC areas.INDEX TERMS AC/DC power flow, energy management, islanded hybrid microgrid, renewable energy sources ABBREVIATION

show abstract

Investigation of Fuel cell tied Unified Filter towards grid resiliency for future smartgrid

Dash,

Mohan,

Chudjuarjeen

et al. 2024

2024 12th International Electrical Engineering Congress (iEECON)

View full text Add to dashboard Cite

Optimized power flow management based on Harris Hawks optimization for an islanded DC microgrid

Cited by 4 publications

References 27 publications

Renewable Energy-Based DC Microgrid with Hybrid Energy Management System Supporting Electric Vehicle Charging System

Renewable Energy-Based DC Microgrid with Hybrid Energy Management System Supporting Electric Vehicle Charging System

Energy Management of Multi-Area Islanded Hybrid Microgrids: A Stochastic Approach

Investigation of Fuel cell tied Unified Filter towards grid resiliency for future smartgrid

Contact Info

Product

Resources

About