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Daily Operation Optimization for Grid-Connected Hybrid System considering Short-Term Electricity Price Forecast Scheme

Bento, P.M.R. ; Nunes, H.G.G. ; Pombo, J. ; Mariano, S.J.P.S. ; Calado, M.R.A.

Daily Operation Optimization for Grid-Connected Hybrid System considering Short-Term Electricity Price Forecast Scheme, Proc IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) EEEIC / I&CPS Europe, Palermo, Italy, Vol. , pp. - , June, 2018.

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Abstract
With an increasing public and governmental awareness regarding environment protection and sustainable resources, hand-in-hand with an escalating electricity demand, the exponential growth of renewable energy generation capacity has been the “answer”. Mitigating the environmental harms associated with the more conventional energy sources such as: coal, oil, gas and nuclear. Nonetheless, some challenges remain, particularly concerning the integration of these technologies into the conventional generation mix. Hybrid energy systems allow a paradigm shift from a concentrated conventional generation to a more distributed one, by better exploiting the local endogenous resources, taking advantage of the combined production from different technologies, e.g. photovoltaic, wind, hydro, fuel cells, micro-turbine generators, among many others. This paper discusses the optimized PV-wind with hydro and battery storage for a grid-connected application considering the Short-Term Price Forecast. The proposed technique has been tested in the MATLAB® under different scenarios, meaning different load and price profiles and initial battery and hydro storage capacity values. The obtained results demonstrate the effectiveness of the proposed approach.