Integrated Planning of a Solar/Storage Collective

French regulation allows consumers in low-voltage networks to form collectives to produce, share, and consume local energy under the collective self-consumption framework. A natural consequence of collectively-owned generation projects is the need to allocate production among consumers. In long-term plans, production allocation determines each of the consumers' benefits of joining the collective. In the short-term, energy should be dynamically allocated to reflect operation. This paper presents a framework that integrates long and short-term planning of a collective that shares a solar plus energy storage system. In the long-term planning stage, we maximize the collective's welfare and equitably allocate expected energy to each consumer. For operation, we propose a model predictive control algorithm that minimizes short-term costs and allocates energy to each consumer on a 30-minute basis (as required by French regulation). We adjust the energy allotment ex-post operation to reflect the materialization of uncertainty. We present a case study where we showcase the framework for a 15 consumer collective.Comment: Final draft accepted for publication in IEEE Transactions on Smart Gri

SCADA as a service approach for interoperability of micro-grid platforms

International audienceIn the context of smart grid development, this paper considers the problem of interoperability of microgrid platforms, particularly among research institutions. Various levels of interoperability are introduced with the respective requirements. The primary aim of the paper is to propose a suitable private hybrid cloud based SCADA architecture satisfying various necessities in the framework of interoperability of micro-grid platforms while maintaining security restriction conditions. Due to the limited time restriction of critical SCADA functions in the electrical grid (protection, real time control, etc.), only selected non-critical SCADA functions (back-up, data historian, etc.) are accessible to partners from the private cloud. The critical SCADA tasks functionality remains under control of local server, thus, a hybrid cloud architecture. Common Information Model (IEC 61970 and IEC 61968, CIM/XML/RDF) is proposed to be used as model for information exchange. The communication model is based on PaaS delivery model and OPC Unified Architecture (OPC UA) specifications are considered. OPC gateway is proposed as conversion between the old OPC Distributed Common Object Model (DCOM) protocol and the Simple Object Access Protocol (SOAP) for clou

An advanced protection scheme for medium-voltage distribution networks containing low-voltage microgrids with high penetration of photovoltaic systems

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Self-updating machine learning system for building load forecasting-method, implementation and case-study on COVID-19 impact

International audienc

Impact assessment of new services in the Galapagos low voltage network

International audienceThe Galapagos Islands are a fragile ecosystem which belongs to Ecuador. About 26.000 people are located in four islands of the archipelago and 60% of the population is concentrated on Santa Cruz Island. Combined technologies are used for providing electricity such as thermal, photovoltaic and wind. The government of Ecuador is fostering the policy zero CO2 emissions within the islands. In order to achieve this objective, some initiatives are carried out like replacing the conventional vehicles by electrical ones and the gas stoves by induction ones. Taking into account this framework, it becomes vital to assess the impact of these new policies on the distribution network; for sure, this will change significantly the operation and control of Galapagos distribution grid. Hence, strong integration of distributed generation, electric vehicles, and induction cookers must be assessed at the low voltage level, where they are usually connected. This paper assesses the impact of all the new services on the low voltage network as well as the new electric demand due to natural population grow. Real field information has been used in the models presented

Mitigation of grid parameter uncertainties for the steady-state operation of a model-based voltage controller in distribution systems

International audienceThis paper deals with the impact of line impedances uncertainties on model-based voltage controllers for distribution networks in the context of secondary to tertiary control levels (i.e., 30 minutes control horizon). The study proposes two methodologies: i) centralized and ii) distributed approaches, to estimate grid impedances by relying on static historical measurement data and adjust the parameters of a model-based voltage controller. Furthermore, an online impedance tuning scheme is proposed to successively fine-tune the impedance estimation over successive control periods (along several days). The simulations results highlight the preciseness of the proposed methodologies, with both centralized and distributed able to estimate the grid impedances within an acceptable accuracy (between 4 % and 7 % of error). Moreover, the proposed tuning algorithm shows to be very effective, where the estimation error can be lowered under 1 %. Finally, robustness studies are performed to test the proposed methodologies in the presence of measurement noises. Through this study, the robustness of the proposed tuning scheme can be validated, in which the algorithm is able to correct massive impedance errors after three months of tuning rounds only

Uncertainties Impact and Mitigation with an Adaptive Model-Based Voltage Controller

International audienceThis paper investigates the impact of three sources of uncertainties on a conventional model-based voltage controller, which are i) model, ii) load/generation forecast and iii) grid impedance/data uncertainties. Due to the common lack of grid data availability at the low voltage level, a specific attention is attached to the mitigation of grid impedance uncertainties by proposing a convex optimization-problem based on local measurements to tune the controller parameters. Furthermore, a voltage performance index (V PI) is introduced to measure the efficiency of the proposed adaptive controller. The proposed simulations highlight how different types and levels of uncertainties can impact the controller performances. Furthermore, the proposed mitigation strategy shows a significant improvement on the controller performance in terms of voltage profiles. The studies are tested on 11-bus radial distribution system

Uncertainties Impact and Mitigation with an Adaptive Model-Based Voltage Controller

International audienceThis paper investigates the impact of three sources of uncertainties on a conventional model-based voltage controller, which are i) model, ii) load/generation forecast and iii) grid impedance/data uncertainties. Due to the common lack of grid data availability at the low voltage level, a specific attention is attached to the mitigation of grid impedance uncertainties by proposing a convex optimization-problem based on local measurements to tune the controller parameters. Furthermore, a voltage performance index (V PI) is introduced to measure the efficiency of the proposed adaptive controller. The proposed simulations highlight how different types and levels of uncertainties can impact the controller performances. Furthermore, the proposed mitigation strategy shows a significant improvement on the controller performance in terms of voltage profiles. The studies are tested on 11-bus radial distribution system