Dynamic Analysis of a Hybrid Energy Storage System (H-ESS) Coupled to a Photovoltaic (PV) Plant

Abstract

Nowadays energy storage is strongly needed to allow grid safety and stability due to the wide penetration of renewable plants. Mainly economic and technological issues impede a relevant integration of conventional storage devices in the energy system. In this scenario, the hybridization of different storage technologies can be a techno-economic solution useful to overcome these issues and promote their diffusion. Hybridization allows multi-operation modes of the Energy Storage System (ESS), merging the positive features of base-technologies and extending their application ranges. This paper provides a dynamic analysis of a hybrid energy storage system (H-ESS) consisting of a flywheel and a battery pack coupled to a photovoltaic generation plant and a residential load up to 20 kW. A dynamic model of the overall micro-grid (MG) was developed implementing the H-ESS preliminary sizing and a suitable management algorithm. The instantaneous behavior of each component was evaluated. A brief summary of the MG performance at different weather and load conditions was provided together with a characterization of the impact of power fluctuations on the battery current and on the power exchange with the grid.

Reduction of Power Production Costs in a Wind Power Plant–Flywheel Energy Storage System Arrangement

“…The main components of investment costs, in the case of the WPP-FESS system, are related to the purchase of turbines and energy storage facilities; however, the costs of energy resources analysis and project documentation cannot be omitted. Considering the arrangement of a wind power plant with a N WT number of turbines with energy storage systems (number of storage systems-N WE ), the vector K = i(y) , for the investment project carried out for a period longer than one year, for year y takes the following form: (11) where: k, n-wind turbine and energy storage system indices, K TW(y)(k) -cost of purchasing the k-th wind turbine in year y, K TTW(y)(k) -cost of transporting the k-th wind turbine to the installation site in year y, K MTW(y)(k) -cost of installing the k-th wind turbine in year y, K FTW(y)(k) -cost of site preparation and construction of foundations for the k-th wind turbine in year y, K ME(y)(n) -total cost of the n-th energy storage system with control systems and transport in year y, K DP(y) -cost of design documentation prepared in year y, K AZE(y) -cost of analysis of energy resources in year y.…”

“…The variables listed are found in the objective function in an implicit form, and their values are related to the investment component (dependency (11)) and operational component (dependency (12)).…”

“…Among the types of energy storage systems used, the most important are electrochemical, compressed air, pumped-storage plants and, increasingly, flywheel [8][9][10][11]. The choice of the type of energy storage system results from its operation type (number of charges and discharges, charging speed, service life, maximum depth of discharge, operating temperature range, etc.).…”

Sizing Hybrid Energy Storage Systems for Distributed Power Systems under Multi-Time Scales

“…To analyze the dynamic characteristic of renewable energy generation systems, one second is selected as the simulation cycle in [13] to configure the capacity of a flywheel battery hybrid energy storage system. However, Barelli L. et al do not take system economy into account.…”

Effect of Reflector Geometry in the Annual Received Radiation of Low Concentration Photovoltaic Systems

“…The system allows the simultaneous acquisition of both electrical and thermal outputs while at the same time there is a reduction in the PV module electrical efficiency by preventing the temperature increase in the solar cells caused by the solar radiation. The loss reduction is achieved due to the use of coolant (water), which flows through the solar collector unit [24]. This paper is intended to expand a previous work of the authors [25] and it is organised as follows: Section 2 describes the Solarus PVT solar collector, which was used to validate the model; Section 3 describes the accomplished methodology to define the C-PV collector geometry related to The spring/fall MaReCo is another prototype, is used to maximise the efficiency of the system during the spring and the fall.…”