Fuzzy logic based energy management for grid connected hybrid PV system

Article Energy & Fuels

Energy Management Scheduling for Microgrids in the Virtual Power Plant System Using Artificial Neural Networks

Maher G. M. Abdolrasol et al.

Summary: This study utilized artificial neural networks as intelligent controllers for the management and scheduling of microgrids in virtual power plants. Two ANN-based scheduling control approaches were proposed to optimize fuel consumption, reduce CO2 emissions, and increase system efficiency. Through different test scenarios, the ANN controllers were found to outperform other solutions in terms of cost reduction and efficiency, showcasing their robustness and performance under changing system conditions.

ENERGIES (2021)

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Article Engineering, Electrical & Electronic

Stochastic electrical and thermal energy management of energy hubs integrated with demand response programs and renewable energy: A prioritized multi-objective framework

Mahdieh Monemi Bidgoli et al.

Summary: This study proposes a multi-objective decision-making framework for determining the optimal scheduling of energy hubs (EHs), considering cost, emissions, power losses, and reserve simultaneously. Prioritization based on EH preferences and lexicography optimization are used to improve reserve capacity, emissions, and system losses in the proposed model, tested on a non-real benchmark system (IEEE 5-bus test system) with stochastic techniques applied to intermittency nature and renewable generation.

ELECTRIC POWER SYSTEMS RESEARCH (2021)

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Article Green & Sustainable Science & Technology

Performance Investigation of a Solar Photovoltaic/Diesel Generator Based Hybrid System with Cycle Charging Strategy Using BBO Algorithm

Anurag Chauhan et al.

Summary: Sustainable power generation is receiving more attention in light of global warming and climate change concerns. This paper discusses a Solar Photovoltaic/Diesel Generator/Battery-based hybrid system for meeting the electrical energy demand of a remote location in India, with the minimum cost of energy being optimized at 0.225 $/kWh using a Biogeography-based Optimization algorithm.

SUSTAINABILITY (2021)

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Article Energy & Fuels