Bi-level energy management system for optimal real time operation of grid tied multi-nanogrids

Emam, Ahmed A.; Keshta, H.E.; Mosa, Magdi A.; Ali, Ahmed

doi:10.1016/j.epsr.2022.108957

Cited by 5 publications

(2 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The algorithm now tries to improve the learner's knowledge towards the teacher by improving the mean of the class. The modified solution vector is obtained using Equation (30) [32]:…”

Section: Teaching-learning-based Optimization (Tlbo)mentioning

confidence: 99%

“…If the parameters are not set correctly, the algorithm may not converge to the global optimal solution or may converge too slowly. The algorithms such as the aquila optimizer algorithm and whale optimizer algorithm (WOA) both lack the capability of constraint handling and multi-objective optimization and attempted to address the constraint handling issue by incorporating different constraint handling techniques such as the penalty function method, feasible region method, and repair method [31,32]. The merits and demerits of algorithms discussed in the literature are summarized in Table 1.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Energy Management System of Isolated Multi-Microgrids with Local Energy Transactive Market with Indigenous PV-, Wind-, and Biomass-Based Resources

et al. 2023

View full text Add to dashboard Cite

The availability of sustainable, efficient electricity access is critical for rural communities as it can facilitate economic development and improve the quality of life for residents. Isolated microgrids can provide a solution for rural electrification, as they can generate electricity from local renewable energy sources and can operate independently from the central grid. Residential load scheduling is also an important aspect of energy management in isolated microgrids. However, effective management of the microgrid’s energy resources and load scheduling is essential for ensuring the reliability and cost-effectiveness of the system. To cope with the stochastic nature of RERs, the idea of an optimal energy management system (EMS) with a local energy transactive market (LETM) in an isolated multi-microgrid system is proposed in this work. Nature-inspired algorithms such as JAYA (Sanskrit word meaning victory) and teaching–learning based optimization algorithm (TLBO) can get stuck in local optima, thus reducing the effectiveness of EMS. For this purpose, a modified hybrid version of the JAYA and TLBO algorithm, namely, the modified JAYA learning-based optimization (MJLBO), is proposed in this work. The prosumers can sell their surplus power or buy power to meet their load demand from LETM enabling a higher load serving as compared to a single isolated microgrid with multi-objectives, resulting in a reduced electricity bill, increased revenue, peak-average ratio, and user discomfort. The proposed system is evaluated against three other algorithms TLBO, JAYA, and JAYA learning-based optimization (JLBO). The result of this work shows that MJLBO outperforms other algorithms in achieving the best numerical value for all objectives. The simulation results validate that MJLBO achieves a peak-to-average ratio (PAR) reduction of 65.38% while there is a PAR reduction of 51.4%, 52.53%, and 51.2% for TLBO, JLBO, and JAYA as compared to the unscheduled load.

show abstract

“…The algorithm now tries to improve the learner's knowledge towards the teacher by improving the mean of the class. The modified solution vector is obtained using Equation (30) [32]:…”

Section: Teaching-learning-based Optimization (Tlbo)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Energy Management System of Isolated Multi-Microgrids with Local Energy Transactive Market with Indigenous PV-, Wind-, and Biomass-Based Resources

et al. 2023

View full text Add to dashboard Cite

show abstract

A novel strategy for real-time optimal scheduling of grid-tied microgrid considering load management and uncertainties

Hassaballah,

Keshta,

Abdel-Latif

et al. 2024

Energy

View full text Add to dashboard Cite

Multi-level optimal energy management strategy for a grid tied microgrid considering uncertainty in weather conditions and load

Keshta,

Hassaballah,

Ali

et al. 2024

Sci Rep

View full text Add to dashboard Cite

Microgrids require efficient energy management systems to optimize the operation of microgrid sources and achieve economic efficiency. Bi-level energy management model is proposed in this paper to minimize the operational cost of a grid-tied microgrid under load variations and uncertainties in renewable sources while satisfying the various technical constraints. The first level is day ahead scheduling of generation units based on day ahead forecasting of renewable energy sources and load demand. In this paper, a recent meta-heuristic algorithm called Coronavirus Herd Immunity Optimizer (CHIO) is used to solve the problem of day-ahead scheduling of batteries, which is a complex constrained non-linear optimization problem, while the Lagrange multiplier method is used to determine the set-point of the Diesel Generator (DG). The second level of the proposed EMS is rescheduling and updating the set-points of sources in real-time according to the actual solar irradiance, wind speed, load, and grid tariff. In this paper, a novel real-time strategy is proposed to keep the economic operation during real-time under uncertainties. The obtained results show that the CHIO-based bi-level EMS demonstrates an optimal economic operation for a grid-connected microgrid in real-time when there are uncertainties in weather, utility tariffs, and load forecasts.

show abstract

Bi-level energy management system for optimal real time operation of grid tied multi-nanogrids

Cited by 5 publications

References 23 publications

Optimal Energy Management System of Isolated Multi-Microgrids with Local Energy Transactive Market with Indigenous PV-, Wind-, and Biomass-Based Resources

Optimal Energy Management System of Isolated Multi-Microgrids with Local Energy Transactive Market with Indigenous PV-, Wind-, and Biomass-Based Resources

A novel strategy for real-time optimal scheduling of grid-tied microgrid considering load management and uncertainties

Multi-level optimal energy management strategy for a grid tied microgrid considering uncertainty in weather conditions and load

Contact Info

Product

Resources

About