No abstract

Short-term load forecasting (STLF) is fundamental for the proper operation of power systems, as it finds its use in various basic processes. Therefore, advanced calculation techniques are needed to obtain accurate results of the consumption prediction, taking into account the numerous exogenous factors that influence the results’ precision. The purpose of this study is to integrate, additionally to the conventional factors (weather, holidays, etc.), the current aspects regarding the global COVID-19 pandemic in solving the STLF problem, using a convolutional neural network (CNN)-based model. To evaluate and validate the impact of the new variables considered in the model, the simulations are conducted using publicly available data from the Romanian power system. A comparison study is further carried out to assess the performance of the proposed model, using the multiple linear regression method and load forecasting results provided by the Romanian Transmission System Operator (TSO). In this regard, the Mean Squared Error (MSE), the Mean Absolute Error (MAE), the Mean Absolute Percentage Error (MAPE), and the Root Mean Square Error (RMSE) are used as evaluation indexes. The proposed methodology shows great potential, as the results reveal better error values compared to the TSO results, despite the limited historical data.

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No abstract

This paper addresses the feasibility of a battery energy storage system (BESS) contribution to primary frequency control by simulating its state of charge over several days and by using frequency measurements in the Romanian power system. A BESS correction algorithm has been developed to overcome the average frequency asymmetry which may bring the state of charge to zero or 100%, thus not allowing further primary frequency control due to total discharge or total charge of the storage resource. It is demonstrated that for a number of selected days the algorithm provides good results, the primary frequency control is delivered over entire days, and that a reserve of energy remains in the battery for eventual disturbances in the system, for both over and under frequency needs.