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[IEEE 2019 IEEE Milan PowerTech - Milan, Italy (2019.6.23-2019.6.27)] 2019 IEEE Milan PowerTech - Mitigation Analysis of MV Distribution Network Constraints Thanks to a Self-Consumption Policy For Photovoltaic Distributed Units

DOI:10.1109/PTC.2019.8810951 出版年份:2019 更新时间:2025-09-16 10:30:52
摘要: Self-consumption of homemade electricity from renewable energy in encouraged by the European commission to enforce their penetration in state energy portfolios. By using electrical energy storage systems and demand response, this technique can lower the overall cost of the renewable energy transfer in the electrical system and so increase it. To develop self- consumption efficiently, various energy policies can be imagined to create economic support schemes for motivating consumers to make active decisions in this way and mobilizing financial resources for an energy transition toward more RES in the future. Germany has experimented earlier this policy orientation while France is only beginning to consider self-consumption. The goal of this paper is to compare German and French policies in order to evaluate the benefits of PV production self-consumption. So economic national frameworks are recalled and then a 100kW PV producer is considered. With one-year time data series and an energy model, different operation conditions are simulated and times of return on investment are compared. Then, benefits for the electrical network operation are studied. The benchmark distribution network model from CIGRé is used to quantify and compare technical constraint occurrences.
作者: Valentin Pailloux,Bruno Francois
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To compare German and French policies in order to evaluate the benefits of PV production self-consumption and its impact on electrical network operation.

The German policy is more favorable to self-consumption than the French system, with a shorter Time of Return on Investment (TRoI) for systems with batteries. Implementing a storage device with a PV installation helps decrease the probability of constraints in the distribution network. Further studies could explore the economic comparison of network reinforcement costs versus storage solutions and extend the analysis to LV networks.

The study focuses on a specific configuration (100kW peak load, 100kWp PV array, 100kWh battery) and may not be generalizable to all scenarios. The battery model assumes no power limit, which might not reflect all commercial battery specifications.

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