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This paper focuses on a local energy market where a group of households in a low voltage (LV) grid is organized as an energy community. A three-stage management strategy is proposed under the French collective self-consumption framework. In the first day-ahead stage, households coordinate with the community manager to minimize the overall energy bills for the next day. Then, real-time operation (second stage) focuses on the mitigation of forecast uncertainties and voltage violation, by utilizing the reserve of the local production/storage assets. Finally, the third stage contractually allocates the community energy among the households on 30 min basis (based on the French regulation), in order to ensure fair individual cost reduction and possibly create economic surplus in the community. The proposed community management strategy is evaluated on a LV grid with 55 households, and the results show the proposed strategy achieve an average of 30 % individual cost reduction among the users compared to the base scenarios. Furthermore, different pricing scenarios are compared through sensitivity studies and scalability tests are run on larger systems.

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Energy communities are key enablers for end-users to actively participate in the energy transition in a more consumer-centric context. This paper focuses on the expansion of existing energy communities that may need to select new members among a pool of candidates. Selection is based on heuristic methods for better explainability and to promote a transparent selection process from end-users’ perspectives. The proposed methodology is further verified with an accurate optimization-based energy management strategy. The member selection is performed in an iterative process where the best potential candidate is added as a new member of the energy community before running the same procedure over successive iterations. Simulations were performed for a complete month with a real community of six houses and nine potential candidates. The proposed rule-based method achieves similar ranks among candidates for two investigated metrics and return the same results as the more accurate optimization. Furthermore, the results show a hint on how to identify the best location (i.e., member) to install new assets that can contribute best to the energy community since it can boost the value brought by the candidates to the community. In that sense, the proposed method also serves as an investment decision support tool as well as a selection strategy for inhabitants of an energy community.

This paper proposes a strategy for the resources management and power allocation in an energy community. Especially, the fairness of the benefit sharing is assessed thanks to a metric introduced as a monthly net energy price (in ce/kWh) from the viewpoint of each individual and computed as the individual bill over the consumed energy. The community management decouples the operational (i.e., power dispatch) from the settlement phase (i.e., monthly community billing). In particular, the investigated billing approach is based on an optimization process with an additional constraint to limit the gap between the maximum and minimum identified prices over all the community members. This study then provides a new method to better address individual's need in the community. The results show a narrow range of the individual energy price and 11.5% collective bill reduction compared to a case where the members act individually.

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Partial discharge (peluahan sebagian) merupakan suatu fenomena yang terjadi pada tegangan tinggi. Pengukuran Partial Discharge (PD) sangat penting untuk mengetahui kondisi suatu isolasi. Pada percobaan yang dilakukan kali ini adalah pengukuran partial discharge menggunakkan metode detecting impedance (RC) dengan elektoda jarum-plat jarak 1 cm dan isolasi udara. Pengukuran Background Noise (BGN) dilakukan sebelum memulai percobaan untuk membedakan antara sinyal noise dengan sinyal PD yang akan diukur. Dari percobaan didapatkan hasil bahwa Partial Discharge Inception Voltage (PDIV) adalah PD yang muncul pertama kali, dalam percobaan ini PD negatif muncul terlebih dahulu saat tegangan sumber 3.32 kV, dengan rise time 0.1 µs dan fall time sekitar 0.25 µs. Saat tegangan sumber dinaikkan menjadi 4.3 kV, muncul PD negatif dengan rata rata jarak munculnya 83.6 µs muncul PD positif dengan rata rata jarak munculnya 89.5 µs.