Application of Support Vector Regression and Time Series Method in Short-term Power Load Forecasting with Regional difference

Aims: Short-term load forecasting Background: Short-term load forecasting has played a key role in power dispatching. It provides basic data for basic power generation planning and system safety analysis so that the power dispatching work is more practical and the power generation efficiency is higher. Objective: It provides basic data for basic power generation planning and system safety analysis and makes power dispatching work more practical and power generation efficiency higher. It ensures the safe operation of the electricity market and relieves the pressure of supply and demand. Results: It has the advantage of minimizing the structural risk and has good generalization performance to the predicted object. At the same time, the global optimization is ensured, a lot of mapping calculation is reduced, the actual risk is reduced, and the prediction performance is improved. Conclusion: The target model has higher forecasting accuracy than other forecasting models and can effectively solve the problems of the power market.

Impact of Electric Vehicle Charging Strategy on the Long-Term Planning of an Isolated Microgrid

Isolated microgrids, such as islands, rely on fossil fuels for electricity generation and include vehicle fleets, which poses significant environmental challenges. To address this, distributed energy resources based on renewable energy and electric vehicles (EVs) have been deployed in several places. However, they present operational and planning concerns. Hence, the aim of this paper is to propose a two-level microgrid problem. The first problem considers an EV charging strategy that minimizes charging costs and maximizes the renewable energy use. The second level evaluates the impact of this charging strategy on the power generation planning of Santa Cruz Island, Galapagos, Ecuador. This planning model is simulated in HOMER Energy. The results demonstrate the economic and environmental benefits of investing in additional photovoltaic (PV) generation and in the EV charging strategy. Investing in PV and smart charging for EVs could reduce the N P C by 13.58%, but a reduction in the N P C of the EV charging strategy would result in up to 3.12%.