Increasing self-sufficiency in a micro grid: integrated vs. non-integrated energy system approach

Dancker, Jonte; Wolter, Martin; Rosberg, Jari; Tsotsas, Evangelos

doi:10.1109/upec.2018.8541875

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…Algorithms for controlling microgrid assets can be either formulated as an optimization model or in a rule-based manner. Miscellaneous approaches for optimization-based algorithms regarding microgrid operation are presented in literature, e.g., [15], [22], [23]. Optimization-based approaches require generation and consumption forecasts [24], while rule-based algorithms are able to operate in real time without consideration of uncertainty [25].…”

Section: Mathematical Formulation Of the Control Algorithmmentioning

confidence: 99%

Real-World Application of Sustainable Mobility in Urban Microgrids

Khemir¹,

Rojas²,

Popova³

et al. 2022

IEEE Trans. on Ind. Applicat.

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The impact of microgrid applications expands with the increasing share of renewable energy resources in the energy supply and the progressing electrification of the transport sector. The additional energy demand of electric vehicles (EVs) may cause increased peak loads, leading to growing burdens on the power system. In this regard, microgrids allow to cover the energy demand of EVs utilizing local renewable energy resources and a battery storage system, thereby lowering the utilization of the power system. This article discusses a self-consumption operational strategy for a real-world microgrid at the EUREF-Campus in Berlin, Germany. A rule-based control algorithm for the sustainable energy supply of EV charging stations is implemented and validated. Measurements are recorded with high resolution over three years from 2017 to 2019. The performance of the microgrid operation is assessed with regards to three distinct key indicators: Self-consumption, autarky, and emission rate. The influence of selected operating parameters under real-world and ideal operating conditions are investigated. The results indicate that self-consumption and autarky rates are sensitive to the rated power capacity of a battery storage system rather than to its rated energy capacity. Moreover, the reduction of emissions through battery deployment for EV charging amounts up to 37 % under ideal operating conditions. This underlines the potential of the microgrid concept for the sustainable application of EVs in urban areas.

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Section: Mathematical Formulation Of the Control Algorithmmentioning

confidence: 99%

Real-World Application of Sustainable Mobility in Urban Microgrids

Khemir¹,

Rojas²,

Popova³

et al. 2022

IEEE Trans. on Ind. Applicat.

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“…The cost of the curtailed amount is higher in Case 3 as compared to Case 2 because the battery is charged from the grid and the PV production needs to be curtailed after grid feed-in. However, by assuming an annual fixed cost of the battery system of 66 €/kWh and a battery life of 10 years [39]. For the battery storage in Case 2 and Case 3, the investment costs of 135520 € are required and the payback time for Case 3 is 5 years.…”

Section: Casementioning

confidence: 99%

Optimal storage operation with flexible tariff under consideration of sector coupling and renewable energy sources in a new settlement area

Tayyab¹,

Hauer²,

Kärgel³

et al. 2019

Proceedings of the 13th International Renewable Energy Storage Conference 2019 (IRES 2019)

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Energy storages are important to manage the high amount of electricity generation from renewable energy sources in microgrids. Furthermore, the economic benefits of battery energy storage (BESS) such as self-consumption maximization have proven its feasibility. In the present paper, a settlement area with photovoltaic and storage systems is investigated, where electrical loads including the heating load profile by using a heat pump. Different battery operation strategies have been analyzed and compared under consideration of the Brazilian white tariffs with the goal to decrease the grid supply. For this purpose, linear programming has been used. The results have been compared with the flat electricity tariffs to analyze the white tariffs effect on these types of systems. The result shows a significant increase in profit using white tariff. However, considering the investment cost of the battery, 5 years of payback time is required.

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