Balancing CO<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si3.svg" display="inline" id="d1e1240"><mml:msub><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> emissions and economic cost in a microgrid through an energy management system using MPC and multi-objective optimization

Vásquez, Luis O. Polanco; Redondo, Juana López; Álvarez, José Domingo; Ramirez, Victor; Torres-Moreno, José Luis

doi:10.1016/j.apenergy.2023.120998

Cited by 25 publications

(2 citation statements)

References 22 publications

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“…An operation management system (OMS) takes on the responsibility of overseeing energy scheduling while considering operational objectives and technical and system constraints. This task can be particularly demanding, especially during abnormal operating conditions when unforeseen disruptions like natural disasters occur, and there is not enough power generation to meet the electricity demands of all power-consuming units [4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Environmental–Economic Analysis of Multi-Node Community Microgrid Operation in Normal and Abnormal Conditions—A Case Study of Indonesia

Javidsharifi,

Bazmohammadi,

Pourroshanfekr Arabani

et al. 2023

Sustainability

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This paper presents a comprehensive analysis of the operation management of a multi-node community microgrid (MG), emphasizing power flow constraints and the integration of photovoltaic (PV) and battery systems. This study formulates MG operation management as a multi-objective optimal power flow problem, aiming to minimize costs (maximize profits) and emissions simultaneously. The multi-objective particle swarm optimization (MPSO) method is employed to tackle this complex optimization challenge, yielding a Pareto optimal front that represents the trade-offs between these conflicting objectives. In addition to the normative operation scenarios, this research investigates the robustness of the MG system in the face of abnormal situations. These abnormal scenarios include damage to the PV system, sudden increases in the MG load, and the loss of connection to the main electricity grid. This study focuses on Lombok Island, Indonesia as a practical case study, acknowledging the ongoing efforts to implement the community MG concept in this region. It is observed that when the access to the electricity grid is limited, the energy not served (ENS) increases to 2.88 MWh. During the fault scenario in which there is a 20% increase in the hourly load of each MG, a total of 4.5 MWh ENS is obtained. It is concluded that a resilient operation management system is required to ensure a consistent and reliable energy supply in community MGs in the face of disruptions.

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Section: Introductionmentioning

confidence: 99%

“…The authors in [7] propose an OMS designed for MGs to optimize energy generation while simultaneously reducing CO 2 emissions and minimizing economic expenses. This OMS incorporates model predictive control, a multi-objective optimization algorithm, and a decision-making tool that can adapt to changing operational circumstances.…”

Section: Introductionmentioning

confidence: 99%