Optimal Energy Management and Scheduling of a Microgrid in Grid-Connected and Islanded Modes

Zacharia, Lazaros; Tziovani, Lysandros; Savva, Maria; Hadjidemetriou, Lenos; Kyriakides, Elias; Bintoudi, Angelina D.; Tsolakis, Apostolos C.; Tzovaras, Dimitrios; Martínez-Ramos, José L.; Marano, Alejandro; Azzopardi, Brian; Martensen, Nis; Khiat, Mounir; Önen, Ahmet; Al-Agtash, Salem

doi:10.1109/sest.2019.8849121

Cited by 13 publications

(7 citation statements)

References 14 publications

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“…To make a few commitments, their paper breaks down three perspectives, for example, building up a methodology of dynamic damping procedure dependent on numerical model of VSC with no extra sensors, decreasing the size of the yield LC channel by moving the recurrence and changing the dynamic damping coefficient and building a solid fluffy rationale director for brilliant force the executives. L. Zacharia1 et al [20] have developed two optimization algorithms implemented for managing the microgrid operation in islanded mode and grid connected mode. The management algorithm can be attained based on the priorities and objectives in each mode.…”

Section: Literature Reviewmentioning

confidence: 99%

An Emperor Penguin Optimization and Particle Swarm Optimization Control algorithm for PV with ZSI in Grid Connected System

Vidhya

R²

2021

Preprint

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In the paper, a distributed controller for the analysis of SEPIC and Z-Source Inverter (ZSI) based grid-connected Photovoltaic (PV) system. The PV systems are modeled, designed and implemented to given maximum power output with the help of proposed controller. In the paper, a distributed controller is designed to provide maximum output power and to working by changing irradiance and providing various range of active power. An enhanced controller is specified as the Fractional Order PID (FOPID) controller with aid of hybrid approach. The hybrid approach is consisting of Emperor Penguin Optimization (EPO) and Particle Swarm Optimization (PSO). FOPID controller is the advanced PID controller and it gives a better output and robustness than the traditional PID controller. To enhance the performance of the FOPID, the gain parameters are optimized with the utilization of hybrid approach. For achieving the optimal power management and maximum power tracking, the objective function is defined and specified their constraints also. Here, two various methods have been deliberated to changing the inverter operation with constant irradiance and varied irradiance. The proposed method is tested by using MATLAB/Simulink and it is contrasted with the previously developed methods like base model, Ant Colony Optimization (ACO) and PSO algorithm.

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Section: Literature Reviewmentioning

confidence: 99%

An Emperor Penguin Optimization and Particle Swarm Optimization Control algorithm for PV with ZSI in Grid Connected System

Vidhya

R²

2021

Preprint

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“…Hence, Figure 9 shows the generated power only from one of the three PV systems. Further, the ESS was scheduled to operate according to the optimal energy management scheme developed in Reference [9]. It should be noted that other more advanced discharging strategies can also integrated within the ESS inverter to allow cooperation with the PV inverters considering building level energy optimization as in Reference [34].…”

Section: Real-time Simulation-base Scenariomentioning

confidence: 99%

“…This state usually requires monitoring of the grid operating conditions and communication infrastructure to coordinate the RES local controllers. Finally, a tertiary control level is added on top of the previous two layers in order to optimize the operation of the whole MG in both technical and economical manners [8,9]. According to the standard for the specification of the MG controller [10], MGs should be able to provide ancillary services (i.e., reactive power support, voltage control, frequency control, phase balancing) for enhancing efficiency, reliability and power quality of the distribution network.…”

Section: Introductionmentioning

confidence: 99%

Phase Balancing and Reactive Power Support Services for Microgrids

et al. 2019

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Alternating current (AC) microgrids are expected to operate as active components within smart distribution grids in the near future. The high penetration of intermittent renewable energy sources and the rapid electrification of the thermal and transportation sectors pose serious challenges that must be addressed by modern distribution system operators. Hence, new solutions should be developed to overcome these issues. Microgrids can be considered as a great candidate for the provision of ancillary services since they are more flexible to coordinate their distributed generation sources and their loads. This paper proposes a method for compensating microgrid power factor and loads asymmetries by utilizing advanced functionalities enabled by grid tied inverters of photovoltaics and energy storage systems. Further, a central controller has been developed for adaptively regulating the provision of both reactive power and phase balancing services according to the measured loading conditions at the microgrid’s point of common coupling. An experimental validation with a laboratory scale inverter and a real time hardware in the loop investigation demonstrates that the provision of such ancillary services by the microgrid can significantly improve the operation of distribution grids in terms of power quality, energy losses and utilization of available capacity.

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“…In comparison with other battery types, however, production costs for lithium batteries are high. The use of the sodium battery system is introduced in [99]. A control method for H-infinity controllers was developed.…”

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confidence: 99%

“…However, the effects of different characteristics of various BESU sets were not discussed. There was discussion in [99] on the use of various BESU sets. The authors invented advanced SOC-based control systems, taking up and unloading characteristics.…”

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confidence: 99%

Comprehensive Survey of Various Energy Storage Technology Used in Hybrid Energy

et al. 2021

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Various power generation technologies, such as wind turbines and solar power plants, have been increasingly installed in renewable energy projects as a result of rising demand and ongoing efforts by global researchers to mitigate environmental effects. The sole source of energy for such generation is nature. The incorporation of the green unit into the power grid also results in volatility. The stabilization of frequencies is critical and depends on the balance of supply and demand. An efficient monitoring scheme called Load Frequency Monitoring (LFM) is introduced to reduce the frequency deviation from its natural state. Specific energy storage systems may be considered to improve the efficiency of the control system. The storage system contributes to the load rate, peak rushing, black start support, etc., in addition to high energy and rapid responsive features. A detailed study of different power storage systems, their current business scenario, and the application of LFM facilities, as well as their analysis and disturbance, is presented in this paper. According to the literature analysis, the current approaches can be divided into two categories: grid and load scale structures. This article also distinguishes between the organized aggregate system and the uncoordinated system control scheme, both of which have advantages and disadvantages in terms of technology.

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Optimal Energy Management and Scheduling of a Microgrid in Grid-Connected and Islanded Modes

Cited by 13 publications

References 14 publications

An Emperor Penguin Optimization and Particle Swarm Optimization Control algorithm for PV with ZSI in Grid Connected System

An Emperor Penguin Optimization and Particle Swarm Optimization Control algorithm for PV with ZSI in Grid Connected System

Phase Balancing and Reactive Power Support Services for Microgrids

Comprehensive Survey of Various Energy Storage Technology Used in Hybrid Energy

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