Modified adaptive differential evolution based optimal operation and security of AC-DC microgrid systems

Bharothu, Jyothilal Nayak; Sridhar, M.; Rao, R. Srinivasa

doi:10.1016/j.ijepes.2018.05.003

Cited by 19 publications

(9 citation statements)

References 49 publications

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“…In other words, renewable energy is variable in nature. During the day, there could be moments of where the energy generation could exceed the demand and vice versa [2,12,16].…”

Section: Scheduling Formulationmentioning

confidence: 99%

“…In recent efforts, different algorithms have been used to find the optimal operating point in a MG. For example, in the reference [1], the hybrid differential evolution and harmony search (hybrid DE-HS) algorithm was used, while in reference [2], the objective function intends to minimize the operation cost of the MG considering the AC and DC grids. Other studies [3,4] have considered the time slots in which the energy costs are higher or lower depending on the user's consumption.…”

Section: Introductionmentioning

confidence: 99%

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Impact of Energy Storage Useful Life on Intelligent Microgrid Scheduling

2020

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Planning the operation scheduling with optimization heuristic algorithms allows microgrids to have a convenient tool. The developments done in this study attain this scheduling taking into account the impact of energy storage useful life in the microgrid operation. The scheduling solutions, proposed for the answer of an optimization problem, are obtained by using a metaheuristic algorithm called Differential Evolutionary Particle Swarm Optimization (DEEPSO). Thanks to the optimization that is conducted in this study, it is possible to formulate dispatches of the existent microgrid (MG) by always looking for the ideal dispatch that implies a lower cost and provides a greater viability to any project related to renewable energy, electric vehicles and energy storage. These advances oblige the battery manufacturers to start looking for more powerful batteries, with lower costs and longer useful life. In this way, this paper proposes a scheduling tool considering the energy storage useful life.

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“…In other words, renewable energy is variable in nature. During the day, there could be moments of where the energy generation could exceed the demand and vice versa [2,12,16].…”

Section: Scheduling Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impact of Energy Storage Useful Life on Intelligent Microgrid Scheduling

2020

View full text Add to dashboard Cite

show abstract

“…Researchers working on the optimal dispatch of the microgrid have conducted substantial research [18][19][20][21][22][23][24]. For example, in [18], a bilevel optimal algorithm for microgrid clusters based on the alternating direction method of multipliers is proposed to achieve coordinated optimization for a multi-microgrid.…”

Section: Introductionmentioning

confidence: 99%

“…In [19], a multi-objective optimal dispatching method for an isolated microgrid considering flexibility is proposed to improve the ability of the system to address the uncertainty of PV and wind power. In [20,21], the optimal operation methods for a microgrid are proposed based on the improved adaptive evolutionary algorithm and swarm optimization algorithm. In [22], considering the uncertain factors of renewable energy generation and price, a dispatching method of a reconfigurable microgrid based on uncertainty risk is proposed to achieve the benefit maximization of microgrid operators.…”

Section: Introductionmentioning

confidence: 99%

Integrated Optimal Dispatch of a Rural Micro-Energy-Grid with Multi-Energy Stream Based on Model Predictive Control

Zhang

Yang

Wang³

et al. 2018

Energies

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Due to the randomness of the intermittent distributed energy output and load demand of a micro-energy-grid, micro-sources cannot fully follow the day-ahead micro-energy-grid optimal dispatching plan. Therefore, a micro-energy-grid is difficult to operate steadily and is challenging to include in the response dispatch of a distribution network. In view of the above problems, this paper proposes an integrated optimal dispatch method for a micro-energy-grid based on model predictive control. In the day-ahead optimal dispatch, an optimal dispatch model of a micro-energy-grid is built taking the daily minimum operating cost as the objective function, and the optimal output curve of each micro-source of the next day per hour is obtained. In the real-time dispatch, rolling optimization of the day-ahead optimal dispatching plan is implemented based on model predictive control theory. The real-time state of the system is sampled, and feedback correction of the system is implemented. The influence of uncertain factors in the system is eliminated to ensure steady operation of the system. Finally, the validity and feasibility of the integrated optimal dispatching method are verified by a case simulation analysis.

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“…By extension, hydrogen technologies that run with solar power also become cheaper to operate. Micro-grids with energy storage devices act as energy hubs that can store both electrical and thermal energy to serve the load demand [26]. A two-stage methodology is used to determine optimal locations based on LRSF (loss reduction sensitive factor) and then optimal sizing of REDGs in prefixed locations by using HNMCS algorithm with an objective of minimization of power loss by considering area required by DG type to calculate DG size as variable in AC/DC micro-grids [27] with neglected HPC losses and operating efficiency.…”

mentioning

confidence: 99%

Butterfly optimizer-assisted optimal integration of REDG units in hybrid AC/DC distribution micro-grids based on minimum operational area

Injeti

2021

Journal of Electrical Systems and Inf Technol

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This paper presents the impact of optimal location and sizing of renewable and non-renewable-based distributed generators in the AC/DC micro-grid system using the latest optimizer called butterfly optimization algorithm with an aim to minimize power loss. Generally, hybrid AC/DC micro-grids systems are modeled by separating AC and DC feeders with the help of high-power converters (HPC).AC grids sustained by substation and DC grids are maintained by their individual DG units. While planning of DGs in the hybrid AC/DC systems, the power loss incurred by HPCs is not considered avoiding complexity by many authors. In this paper, the sizing of DGs is determined by the operational area required by the type of DG technology as one variable and all possible candidate buses in the respective zones of AC/DC micro-grid system are another variable with due consideration of HPC losses in AC/DC micro-grid system. A hybrid AC/DC MG system is developed by classifying the existing benchmark 33-bus and 69-bus radial distribution systems into various AC/DC zones. To evaluate the proposed approach, it is implemented on aforementioned micro-grid systems and the obtained results are verified with other existing approaches in the literature. The results proved that the proposed approach is better than the other approaches in technical aspects.

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Modified adaptive differential evolution based optimal operation and security of AC-DC microgrid systems

Cited by 19 publications

References 49 publications

Impact of Energy Storage Useful Life on Intelligent Microgrid Scheduling

Impact of Energy Storage Useful Life on Intelligent Microgrid Scheduling

Integrated Optimal Dispatch of a Rural Micro-Energy-Grid with Multi-Energy Stream Based on Model Predictive Control

Butterfly optimizer-assisted optimal integration of REDG units in hybrid AC/DC distribution micro-grids based on minimum operational area

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