Browsing by Keyword "Renewable energy integration"
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Item A Novel Formulation for the Energy Storage Scheduling Problem in Solar Self-consumption Systems(Springer Science and Business Media Deutschland GmbH, 2021) Lloréns, Icíar; Alonso, Ricardo; Gil-López, Sergio; Riaño, Sandra; Del Ser, Javier; Herrero, Álvaro; Cambra, Carlos; Urda, Daniel; Sedano, Javier; Quintián, Héctor; Corchado, Emilio; SISTEMAS FOTOVOLTAICOS; IAEnergy storage systems are key components to increase photovoltaic (PV) self-consumption profitability. Indeed, they allow for the intermittency dampening of the PV production so as to adequately cover end-users’ consumption. Given that in most grid-connected PV systems electricity prices are variable, an informed battery scheduling can significantly decrease energy costs. Moreover, energy storage systems can cover consumption peaks to enable contracted power reduction and hence additional savings in electricity bill. This work elaborates on a scalable and flexible optimization system based on production and load forecasting as a Model Predictive Control (MPC) for battery scheduling that aims at minimizing energy costs for consumers. The system provides a 24-hour-ahead battery plan that reduces purchase cost from grid, extends the battery lifetime and guarantees purchases below the maximum contracted power. The formulated problem is solved by means of a MINLP solver and several evolutionary algorithms. Results obtained by these optimization algorithms over real data are promising in terms of cost savings within Spanish electricity market, particularly when compared to the results rendered by other methods from the state of the art. We end by outlying several research directions rooted on the findings reported in this study.Item Solar energy forecasting and optimization system for efficient renewable energy integration(Springer Verlag, 2017) Manjarres, Diana; Alonso, Ricardo; Gil-Lopez, Sergio; Landa-Torres, Itziar; Kramer, Oliver; Madnick, Stuart; Woon, Wei Lee; Aung, Zeyar; IA; SISTEMAS FOTOVOLTAICOS; Tecnalia Research & InnovationSolar energy forecasting represents a key issue in order to efficiently manage the supply-demand balance and promote an effective renewable energy integration. In this regard, an accurate solar energy forecast is of utmoss importance for avoiding large voltage variations into the electricity network and providing the system with mechanisms for managing the produced energy in an optimal way. This paper presents a novel solar energy forecasting and optimization approach called SUNSET which efficiently determines the optimal energy management for the next 24 h in terms of: self-consumption, energy purchase and battery energy storage for later consumption. The proposed SUNSET approach has been tested in a real solar PV system plant installed in Zamudio (Spain) and compared towards a Real-Time (RT) strategy in terms of price and energy savings obtaining attractive results.