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This paper proposes a novel approach for designing the inverter loading ratio (ILR) for utility-scale PV systems. As the first of its kind, a deterministic approach is proposed for dealing with such a design issue. The design objective is to maximise the economic reliability of the photovoltaic (PV) Plants. The problem is reformulated using a linear programming (LP) technique. The proposed solution allows dealing with each system individually and requires only the information of the DC/AC power conversion unit system. The results are tailored for utility-scale PV systems but can also be easily revamped for residential and private/industrial installations. The results were validated using a real-world case study of a utility-scale PV power plant in Ireland, operating under the Renewable Electricity Support Scheme (REFIT) feed-in tariff. These results were compared with the design method from the commercial PVsys software. In the proposed case study, reducing the ILR value from 1.4656 (as designed by PVsys) to 1.4528 led to an increase in annual profit annuities, demonstrating the effectiveness of the proposed approach.

This paper presents an innovative approach to the design and real-life field implementation of a hierarchical control solution for a residential ESS (energy storage system) for consumers/prosumers. The proposed control solution minimises residential prosumers’ electricity bill. It consists of an offline controller (secondary level) implemented in the cloud, which works in total synergy with a local real-time controller (primary level) at the ESS. The offline controller proposes an optimal day-ahead energy management strategy using the forecasted demand and PV generation; whereas the local real-time controller is responsible for the management strategy in the best suitable way while dealing with the system real-time constraints and forecast uncertainties. Distributed implementation and demonstration of the solution have been performed through a cloud control platform, operated by an aggregator. Moreover, an offline analysis has been carried out to assess the performances of the real-life implementation outputs and verify the effectiveness of the proposed approach. The obtained results show promising performances of the overall system and implementation approach. This will further ease the integration process of consumer/prosumer with the future virtual power plant or local electricity market operator. The main concept has been developed to be implemented within the StoreNet pilot project platform.

Enabling energy storage systems (ESS) is a potential aspect of the energy transition toward decarbonising the energy sector. Despite the ongoing effort to analyse distributed energy resources enablers and key barriers, several gaps need to be addressed in the literature on accelerating the implementation of ESS at the citizen level. As citizens are now at the heart of the energy transition, analysing and meeting their needs and securing potential engagement in the energy transition is of utmost importance. However, this presents many challenges as it is more complicated to model and assess rather than institutions, organisations, and companies. This paper analyses the key barriers and enablers of ESS for citizen empowerment through the ownership and operational aspects of ESS. It evaluates various types of ESS at the citizen level, exploring their suitability and distinct characteristics in this specific context and thoroughly examines the key challenges, bottlenecks, and essential facilitators required for ESS citizen empowerment. It adopts a qualitative, bottom-up analysis of barriers and bottlenecks, providing a holistic view of the ecosystem. This comprehensive methodology ensures readers gain a complete perspective on the challenges present throughout the entire ecosystem. Also, it reviews good practices, examines key enablers, and suggests actions and tailored recommendations for diverse stakeholders, facilitating the comprehensive deployment of ESS as an integrated entity to empower energy citizens toward achieving an efficient and smooth energy transition.

A fractional-order vascular model representation for emulating arterial hemody-namics has been recently presented as an alternative to the well-known integer-order arterial Windkessel. The model uses a fractional-order capacitor (FOC) to describe the complex and frequency-dependent arterial compliance. This paper presents a two-stage algorithm based on modulating functions for finite-time simultaneous estimation of the model’s input and the fractional differentiation order. The proposed approach is validated using in-silico human data. Results show the prominent potential of this method for calibrating arterial models and enhancing cardiovascular mechanics research as well as clinical practice.

Studying the arterial hemodynamic response plays a crucial role in the understanding and the treatment of cardiovascular diseases. Due to the difficulty of measuring the arterial blood flow, its estimation through a particular arterial vessel, using non-invasive arterial pressure waveform measurements, has always been an important topic in physiology. For instance, knowing the blood flow in a specific site of the arterial network helps in the detection of arterial stenosis. It may also help in the diagnosis of heart valve’s diseases. In this paper, an algorithm based on modulating functions is proposed to estimate the arterial blood flow as well as to calibrate the conventional Windkessel model using arterial blood pressure signals measured in a particular site of the arterial system. The algorithm is presented and illustrated through several numerical tests.

In this paper, we focus on the estimation of the rotor resistance to online tune the controllers in case of the Indirect Rotor Field Orientation Control (IRFOC) of Induction Machine (IM). The proposed method is based on the development of an adaptive Takagi-Sugeno (TS) fuzzy flux observer, described in a d-q synchronous rotating frame, to concurrently estimate the IM states and the rotor resistance variation. An investigation of the local pole placement is carried out in order to guarantee both the stability and specified observer dynamic performances. The observer's gains design is based on the resolution of sufficient conditions driven into LMIs terms (Linear Matrix Inequalities). Simulation and experimentation are carried out to show the effectiveness of the proposed results.

•Developed an analytical design approach for techno-economic sustainability study of HESS solution.•Proposed a heuristic method for power sharing algorithm to efficiently analyse the power sharing by super-capacitor.•Identify the impact of battery degradation model (lifetime index), power sharing approach (shape factor) and sizing (capacity factor) parameters on techno-economic evaluation.•Li-Ion battery and SC based HESS solution is evaluated for EFR (narrow band) grid service to improve the UK national grid stability.