Optimal operation of smart grid in isolated island

Asato, Bungo; Goya, Tomonori; Uchida, Kosuke; Yona, Atsushi; Senjyu, Tomonobu; Funabashi, Toshihisa; Kim, Chul‐Hwan

doi:10.1109/ipecon.2010.5696987

Cited by 15 publications

(5 citation statements)

References 2 publications

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“…Also, by using a battery as the power storage facility, which can be operated to rapidly charge and/or discharge, the rapid output fluctuations of the DC load and photovoltaic generator are compensated. Ultimately, independent operation is important in power systems such as isolated islands [5][6][7][8][9]. The effectiveness of the proposed control system is validated by simulation results using MATLAB.…”

Section: Introductionmentioning

confidence: 97%

“…Therefore, it is expected that reduction of fossil fuel consumption and low CO 2 emissions due to use of the equipments. In previous research, power fluctuations suppressing by renewable energy are proposed [1][2][3][4][5][6][7][8][9][10]. However, installation of renewable energy causes frequency fluctuations and distribution voltage fluctuations because output power from renewable energy fluctuates depend on weather conditions.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Operation Method of Smart House by Controllable Loads based on Smart Grid Topology

Yoza

Uchida

Yona

et al. 2013

International Journal of Emerging Electric Power Systems

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From the perspective of global warming suppression and depletion of energy resources, renewable energy such as wind generation (WG) and photovoltaic generation (PV) are getting attention in distribution systems. Additionally, all electrification apartment house or residence such as DC smart house have increased in recent years. However, due to fluctuating power from renewable energy sources and loads, supply-demand balancing fluctuations of power system become problematic. Therefore, "smart grid" has become very popular in the worldwide. This article presents a methodology for optimal operation of a smart grid to minimize the interconnection point power flow fluctuations. To achieve the proposed optimal operation, we use distributed controllable loads such as battery and heat pump. By minimizing the interconnection point power flow fluctuations, it is possible to reduce the maximum electric power consumption and the electric cost. This system consists of photovoltaics generator, heat pump, battery, solar collector, and load. In order to verify the effectiveness of the proposed system, MATLAB is used in simulations.

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Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Optimal Operation Method of Smart House by Controllable Loads based on Smart Grid Topology

Yoza

Uchida

Yona

et al. 2013

International Journal of Emerging Electric Power Systems

Self Cite

View full text Add to dashboard Cite

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“…Different use cases drive smart grid deployment: provide electricity to isolated lands (e.g. small islands that are disconnected from the grid) [2], provide electricity with autonomous or inter-connected systems [3], or reduce the dependency on carbon and/or nuclear energy [4]. The major challenges to integrate renewable energies in the grid are instability and intermittent production.…”

Section: Introductionmentioning

confidence: 99%

“…For example, the grid may choose the best source and time for dispatching energy when there is a request for supply. In order to fully take advantage of the smart grid, real time monitoring and control is not enough, but predictions are needed [2], [8], [9]. Accurate and reliable forecasting of the productions can further feed the optimization problem to align the consumption with the production.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Electricity Production from Photovoltaic Panels

Bulusu

Busnel

Montavont

2020

2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)

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The electricity grid is evolving to a distributed infrastructure in which smart grids integrating renewable energies will become dominant. Because of the limited capacity of the battery to store the energy produced at certain time of the day, it is necessary to shift the consumption to when the electricity is actually produced. This paper deals with the estimation of solar panel production in order to forecast when and how much electricity will be available. We propose an Artificial Neural Network model to predict the hourly production of photovoltaic (PV) plants. We evaluate our approach over a large dataset of solar panel electricity production over a period of seven years.

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“…Optimization as the main key of storage sizing should be performed reasonably and through a suitable optimization algorithm. In [8], tabu search and genetic algorithm are employed for solving the problem. While in [7] mixed-integer linear programming is applied.…”

Section: Introductionmentioning

confidence: 99%

Optimizing energy cost via battery sizing in residential PV/battery systems

Doroudchi¹,

Pal

Lehtonen³

et al. 2015

2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)

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Application of renewable sources of energy is vital for the mankind due to global warming. Residential buildings consume major portion of electricity. Therefore, a grid-connected photovoltaic system of domestic level with battery storage backup (PV/storage system) is addressed in this article. This system has a significant effect on decreasing energy costs and contributes to meet the requirements of a nearly net-zero energy building. In this article, Mixed Integer Linear Programming (MILP) is applied to optimize the energy cost of a single-family house with battery energy storage for four different scenarios of installing solar panels. Optimization is performed on monthly scale for a house in Helsinki, Finland. The numerical results indicate that it is reasonable to integrate a storage in grid-connected PV systems in residential applications and represent the impact of battery size on household's monthly energy cost.

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Optimal operation of smart grid in isolated island

Cited by 15 publications

References 2 publications

Optimal Operation Method of Smart House by Controllable Loads based on Smart Grid Topology

Optimal Operation Method of Smart House by Controllable Loads based on Smart Grid Topology

Estimation of Electricity Production from Photovoltaic Panels

Optimizing energy cost via battery sizing in residential PV/battery systems

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