Tactical and operational management of wind energy systems with storage using a probabilistic forecast of the energy resource

Abstract

The storage of energy facilitates the management of renewable energy systems by reducing the mismatch between the supplied energy and the forecasted production due to forecasting errors. The storage increases the reliability of the renewable energy system and enables participation in the electricity market by committing to the sale of electricity for the following day. Nevertheless, the inclusion of the energy storage capacity requires the development of new management policies. In this paper, we propose a management strategy for a renewable energy system with storage capacity that integrates tactical and operational decisions in a single mathematical model that makes use of an updated probabilistic wind speed forecast. Management policies are obtained by solving a sequence of rolling-horizon stochastic optimization problems whose formulation is inspired by the Stochastic Approximation Average technique. The management policies are illustrated by their application to wind-farms using hydrogen as the energy storage medium.

Supercapacitor Energy Storage Device Using Biowastes: A Sustainable Approach to Green Energy

“…A comparison between the various storage mechanisms and electrochemical performance of electrodes derived from biowaste is presented.Sustainability 2019, 11, 414 2 of 22 renewable energy sources such as solar energy, geothermal energy, wind energy, biofuels, etc., while electrochemical energy storage devices such as supercapacitors, rechargeable batteries, etc. have also attracted significant research [9][10][11]. It is not an overstatement to say that successful development of any renewable energy source (e.g., windmills and solar cells), hybrid and electric vehicles and smart grids depend significantly upon the availability of a suitable energy storage system.…”

Impacts of Energy Storage System on Power System Reliability: A Systematic Review

“…Table 8 illustrates the impacts of ESS on distribution subsystem (HL3). [60] Solves energy dispatch problem in a smart grid consisting of renewable energy sources and ESS Adopts economic model predictive control to optimize economic costs Does not specify utilization of forced outage rate of system components [61] Proposes integration of tactical and operational management of a micro-grid Uses sample-average approximation (SAA) to optimally improve reliability and system profit Does not specify utilization of forced outage rate of system components [62] Presents a cost-benefit analysis in active distribution system Applies single PSO to identify optimal ESS siting and system net profit Does not specify how solar power is modelled [31] Integrates the use of RTTR alongside ESS to increase the availability of ESS and improve reliability Presents a probabilistic approach of a demand and operational constraints of the ESS May extend research to optimally locate RTTR and thus further improve reliability [63] Reliability evaluation of integrated renewable energy with electric vehicle (EV) operating strategy…”

Micellization of a starch–poly(1,4-butylene succinate) nano-hybrid for enhanced energy storage

“…Conventional fossil fuels can be difficult to handle, are not renewable, disrupt local ecologies, are associated with various geo-political problems, pollute the environment and are increasingly being depleted at faster rates. 3,4 Solar, wind, biofuels, hydrothermal are examples of renewable and sustainable energy systems that are presently gaining signicant worldwide attention. However, the energy generated from these renewable resources must be stored in portable or stationary devices to ensure cleaner and smarter, and more accessible energy.…”

“…4 micelles appeared as agglomerated particles, with irregular spherical morphology. The morphology observed was similar to what has been reported in the literature [67][68][69].…”