Stochastic Rating of Storage Systems in Isolated Networks with Increasing Wave Energy Penetration

Abstract

Abstract:The future success of wave energy in the renewable energy mix depends on the technical advancements of the specific components and systems, on the grid access availability and, ultimately, on the economical profitability of the investment. Small and remote islands represent an ideal framework for wave energy exploitation, due both to resource availability and to the current high cost of electricity that mostly relies on diesel generation. Energy storage can be the enabling technology to match the intermittent power generation from waves to the energy needs of the local community. In this paper real data from La Palma, in the Canary Islands, are used as a basis for the considered test case. As a first step the study quantifies the expected power production from Wave Energy Converter (WEC) arrays, based on data from the Lifesaver point absorber developed by Fred. Olsen. Then, a stochastic optimization approach is applied to evaluate the convenience of energy storage introduction for reducing the final cost of energy and to define the corresponding optimal rating of the storage devices.

The role of electrical energy storage in sub-Saharan Africa

“…These parameters are employed to identify the optimum system sizing by comparing different configurations (i.e. a number of systems having different power sources ratings and storage capacities) [68][69][70][71]. Actually, this is a simulation-based trial and error process.…”

Energy storage sizing by stochastic optimization for a combined wind-wave-diesel supplied system

“…Although a stochastic approach to the ESS sizing has been applied to isolated systems with wind [7] and wave [8] energy penetration separately, no previous studies have analyzed the advantages that such approach can provide to combined wind and wave energy installations in realistic scenarios.…”

A Simulation Framework for Optimal Energy Storage Sizing

“…The study considers different storage capacities and different wind penetration levels, concluding that the value of storage strongly depends on these aspects. Similarly, the benefits of different storage technologies for the Dutch system are studied in [12]. In [14], Zhang et al evaluate optimal PHS size for the Jiangsu power system, using a chronological approach to simulate system operation for a year with hourly resolution.…”

“…In [12] the authors use a stochastic optimization approach to evaluate the convenience of energy storage as a means of reducing the final cost of energy and to define the corresponding optimal rating of the storage devices. The value of a PHS in the 2020 Irish system is studied in [10].…”