Value Streams in Microgrids: A literature Review

Städler, Michael; Cardoso, Gonçalo; Mashayekh, Salman; Forget, Thibault; DeForest, Nicholas; Agarwal, Ankit; Schönbein, Anna

doi:10.2172/1235572

Cited by 15 publications

(8 citation statements)

References 14 publications

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“…In general, the economic value of a constant emergency backup power supply is difficult to determine. The value of the lost load depends on many factors 12 , and in the setting of a research building, it is highly dependent on the type of experiments being run, the number of samples, and the treatment of the samples at the time of a blackout. Thus, calculating the value of the lost load would require additional information, which is beyond the scope of the current dataset publication.…”

Section: Methodsmentioning

confidence: 99%

Multiyear microgrid data from a research building in Tsukuba, Japan

2019

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Microgrids comprising renewable energy technologies are often modelled and optimised from a theoretical point of view. Verification of theoretical systems with data of actually implemented systems in the field rarely occurs in an open manner, especially on the intermediate scale of research buildings. To enable modelling of the actual microgrid performance of a research environment, we present a multiyear dataset of a microgrid with solar arrays and a battery. The main energy datasets comprise data per second supplemented by hourly solar irradiation data. These may be combined with data concerning the hourly electricity prices from the main grid and the low-electricity-price periods of national holidays. The level of detail of the data per second in combination with the hourly data in these datasets allows for a comparison to the efficiency and weather-parameter correlation of other renewable energy technologies, as well as forecasting future energy generation and consumption.

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Section: Methodsmentioning

confidence: 99%

Multiyear microgrid data from a research building in Tsukuba, Japan

2019

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“…Energy reliability is one of the most important, and the most difficult value to achieve. Keeping the power flowing when the main grid is off often the main reason why customers choose to install microgrids [1]- [3]. So the critical question here is: What is the cost of a power outage.…”

Section: Introductionmentioning

confidence: 99%

The role of Microgrid controller to increase the profitability for both owner and distribution network operator

Alshahr

Eid

Asumadu

2020

2020 IEEE International Conference on Electro Information Technology (EIT)

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This paper discusses active and reactive power controlling techniques in microgrids and categorizes them based on complexity levels and purposes. The three main investigated techniques in this paper are; reactive power injection, reactive power at night and power curtailment. Additionally, it explains the profitability of these aspects to the investors and recommends modifications and improvements to enhance microgrid and power grid integration.

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“…As the world's energy and environmental problems become increasingly serious, the construction of microgrid has received increasing attention [1]. The development of microgrid is conducive to promoting the local production and consumption of RE and reducing the demand of load centres for external power [2]. Distributed generation (DG), including WT, PV, and diesel generator, satisfies the entire electric load of the microgrid under the isolated mode operation.…”

Section: Introductionmentioning

confidence: 99%

Optimal sizing of a wind/solar/battery/diesel hybrid microgrid based on typical scenarios considering meteorological variability

Yang

Jiang

Cai

et al. 2019

IET Renewable Power Generation

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Microgrid systems, such as solar photovoltaic (PV) and wind turbine (WT), integrated with diesel generator can provide adequate energy to supply increased demands and are economically feasible for current and future use considering depletion of conventional sources. It is, thus, important to determine the appropriate sizes of PV, WT, diesel generator, and associated energy storage system (ESS) for efficient, economic, and reliable operation of electric power system in microgrid. Stochastic nature of intermittent renewable energy (RE) resources complicate their planning, integration, and operation of electric power system. Therefore, it is critical to generate typical scenarios of wind speed, irradiation, and load time series to reflect their stochastic characteristic for microgrid system planning and operation. In this study, a wind-irradiation-load typical scenarios generation method is proposed for optimal sizing RE resources of microgrid. The teaching-learning-based optimisation (TLBO) method is used to find the best configuration of the microgrid system. Simulation results show that scenarios generated by the proposed model have ability to approximate the original scenarios and reduce planning data effectively.

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Value Streams in Microgrids: A literature Review

Cited by 15 publications

References 14 publications

Multiyear microgrid data from a research building in Tsukuba, Japan

Multiyear microgrid data from a research building in Tsukuba, Japan

The role of Microgrid controller to increase the profitability for both owner and distribution network operator

Optimal sizing of a wind/solar/battery/diesel hybrid microgrid based on typical scenarios considering meteorological variability

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