Energy optimization management of microgrid using improved soft actor-critic algorithm

International Journal of Renewable Energy Development, Год журнала: 2024, Номер 13(2), С. 329 - 339

Опубликована: Фев. 20, 2024

To tackle the challenges associated with variability and uncertainty in distributed power generation, as well complexities of solving high-dimensional energy management mathematical models mi-crogrid optimization, a microgrid optimization method is proposed based on an improved soft actor-critic algorithm. In method, algorithm employs entropy-based objective function to encourage target exploration without assigning signifi-cantly higher probabilities any part action space, which can simplify analysis process generation while effectively mitigating convergence fragility issues model management. The effectiveness validated through case study op-timization results revealed increase 51.20%, 52.38%, 13.43%, 16.50%, 58.26%, 36.33% total profits compared Deep Q-network algorithm, state-action-reward-state-action proximal policy ant-colony strategy genetic fuzzy inference system, theoretical retailer stragety, respectively. Additionally, com-pared other methods strategies, learn more optimal behaviors anticipate fluctuations electricity prices demand.

Язык: Английский

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Review of energy management systems and optimization methods for hydrogen‐based hybrid building microgrids

Energy Conversion and Economics, Год журнала: 2024, Номер 5(4), С. 259 - 279

Опубликована: Авг. 1, 2024

Abstract Renewable energy‐based microgrids (MGs) strongly depend on the implementation of energy storage technologies to optimize their functionality. Traditionally, electrochemical batteries have been predominant means storage. However, technological advancements led recognition hydrogen as a promising solution address long‐term requirements microgrid systems. This study conducted comprehensive literature review aimed at analysing and synthesizing principal optimization control methodologies employed in hydrogen‐based within context building infrastructures. A comparative assessment was evaluate merits disadvantages different approaches. The techniques for management are categorized based predictability, deployment feasibility, computational complexity. In addition, proposed ranking system facilitates an understanding its suitability diverse applications. encompasses deterministic, stochastic, cutting‐edge methodologies, such machine learning‐based approaches, compares discusses respective merits. key outcome this research is classification various strategy MG, along with mechanism identify which will be suitable under what conditions. Finally, detailed examination advantages strategies controlling optimizing hybrid systems emphasis utilization provided.

Язык: Английский

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Power generation enhancement analysis of a 400 kWp grid-connected rooftop photovoltaic power plant in a hilly terrain of India

Energy Sustainable Development/Energy for sustainable development, Год журнала: 2023, Номер 77, С. 101333 - 101333

Опубликована: Окт. 21, 2023

Язык: Английский

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Comparison of different optimization techniques applied to optimal operation of energy storage systems in standalone and grid-connected direct current microgrids

Journal of Energy Storage, Год журнала: 2024, Номер 96, С. 112708 - 112708

Опубликована: Июнь 26, 2024

Язык: Английский

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Optimal Power Management via Dynamic Power Pools in DC MG Clusters

IEEE Access, Год журнала: 2025, Номер 13, С. 20437 - 20447

Опубликована: Янв. 1, 2025

Язык: Английский

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