Optimal energy management of micro grid connected system: A hybrid approach

Roy, Kallol

doi:10.1002/er.6609

Cited by 9 publications

(2 citation statements)

References 45 publications

(46 reference statements)

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“…It may comprise several or one single linked component that relies on alternating current (AC), hybrid, or direct current (DC) links as the common connection point (CCP) [4]. Multiple studies have examined energy management (EM) systems, as well as numerous control methods and controllers to create energy units [5][6][7][8][9]. The EM system is considered a top-level control system for supervisory control and data acquisition [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Intermetallic compound layer formation in indium-based micro-bump array fabrication technology for IR detectors

Kozłowski,

Jasik,

Łaszcz

et al. 2024

Opto-Electronics Review

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Growing energy demands are expected to render existing energy resources insufficient. Solar energy faces challenges in terms of providing continuous and reliable power supply to consumers. However, it has become increasingly important to implement renewable energy (RE) and energy management (EM) systems to increase the supply of power, improve efficiency, and maintain the stability of energy systems. As such, this present study integrated energy storage (ES) devices; namely, batteries and direct current (DC) to DC converters; into energy systems that support battery operation and effectively manage power flow, especially during peak load demands. The proposed system also addresses low solar irradiation and sudden load change scenarios by enabling the battery to operate in a discharge state to supply power to the load. Conversely, when the demand matches or exceeds the available solar energy, the battery is charged using solar power. The proposed system highlights the significance of RE systems and EM strategies in meeting growing energy demands and ensuring a reliable supply of power during solar variability and fluctuating loads. A MATLAB® Simulink model was used to evaluate the integration of a 200 kW photovoltaic (PV) array with a 380 V grid and 150 kW battery. The loads, consisting of a 100 kW and a 150 kW unit, were parallel connected. The results indicated that boost and three-phase (3Ph) inverters can be used to successfully integrate PV systems to the power grid to supply alternating current (AC) power. The inclusion of a battery also addressed power shortages during periods of insufficient power generation and to store surplus power.

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Section: Introductionmentioning

confidence: 99%

Intermetallic compound layer formation in indium-based micro-bump array fabrication technology for IR detectors

Kozłowski,

Jasik,

Łaszcz

et al. 2024

Opto-Electronics Review

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“…Since nearly 200 parties reached the Paris agreement at the 21st United Nations Climate Change Conference (COP21) in December 2015, all countries in the world have made efforts to control the temperature rise within 2°C or even 1.5°C, and set their own quantitative emission reduction targets [1]. In recent years, in order to achieve quantitative emission reduction targets, nearly all countries have focused on renewable energy power generation, making it achieve unprecedented development [2,3]. However, renewable energy has the characteristics of intermittent and uncontrollable power generation, and the consumption of renewable energy has always been a stumbling block to its popularization [4].…”

Section: Introductionmentioning

confidence: 99%

Coordinated Optimal Scheduling of WPHTNS Power System Based on Adaptive Improved Genetic Algorithm

Zhang,

Tian

2023

IEEE Access

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In order to solve the problem of poor grid connected consumption capacity of renewable energy in power system, a multi-source coordinated optimal scheduling method of wind-PV-hydro-thermalnuclear-storage is proposed in this paper. The optimal scheduling method comprehensively considers the constraints of system power balance, capacity and climbing rate of various power generation modes, establishes the objective function based on the system power purchase cost and renewable energy consumption, obtains the weight relationship between the objective functions by analytic hierarchy process. An adaptive improved genetic algorithm is proposed, and the objective function is solved and the results are compared by this algorithm and three algorithms such as adaptive improved particle swarm algorithm,

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Analysis of a linear programming‐based decision‐making model for microgrid energy management systems with renewable sources

Gassi

Baysal

2022

Intl J of Energy Research

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Summary With the increasing share of renewable energy sources in microgrids, systems enhancing the power flexibility at the demand side have become mandatory in microgrid architecture. Thus, the electrical energy storage system has been mostly integrated into microgrids although its capital and operating costs are very high. Hence, diversifying microgrid energy storage based on the end‐energy usage can improve the reliability, operating cost, and power demand flexibility of the microgrid. The hereby study integrates an absorption chiller and electrical heat pump coupled to a heat storage into a renewable energy resources‐based microgrid and develops its centralized energy management model for both off‐grid and on‐grid operation modes. The model considers the current energy level of energy storages in the microgrid, current, and forecasted information state to compute the vector‐valued decision minimizing a realistic microgrid operating cost. The operating cost includes the energy purchasing/generation, heating/electrical storage, and penalty cost due to load shedding. Hence, such an objective function leads to maximizing the consumption of the generated renewable power, minimizing the energy storage and load shedding cost. The load shedding has been allowed to increase the flexibility in microgrid energy management. However, a high penalty has been imposed on each electrical, heating, or cooling load shedding decision. The decision vector components are thermal and electrical power flow between each energy source to loads and energy storage systems. The problem has been modeled as a Linear Programming with forecasted multi‐parametric inputs at different prediction horizons. The effect of the charging/discharging rate and capacity of energy storages, coefficient of performance of absorption chiller and heat pump, prediction horizon, and energy level of storage devices provided to the myopic energy management model has been evaluated for better integration of renewable sources and thermal storage systems into microgrids. Suggestions have been made to improve the microgrid self‐consumption, energy efficiency, and myopic decision‐making model using the energy level of storage devices obtained from the full look‐ahead optimization model. Highlights The optimization problem combining electricity, heating, and cooling is formulated The electrical and thermal storage charging/discharging rate significantly affect the power supplied by the renewable power source decision of the microgrid energy management model. Accurate energy storage level information into the myopic energy management model improves the model decisions. The absorption chiller coefficient of performance greatly impacts the cooling and electrical loads shedding.

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Optimal energy management of micro grid connected system: A hybrid approach

Cited by 9 publications

References 45 publications

Intermetallic compound layer formation in indium-based micro-bump array fabrication technology for IR detectors

Intermetallic compound layer formation in indium-based micro-bump array fabrication technology for IR detectors

Coordinated Optimal Scheduling of WPHTNS Power System Based on Adaptive Improved Genetic Algorithm

Analysis of a linear programming‐based decision‐making model for microgrid energy management systems with renewable sources

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