需要家における需要予測を用いた電力貯蔵用システムの連用制御

摘要

負荷平準化は電源設備の効率的な運用や発電コストの低rn減に効果があり，国内でも揚水発電所の活用など負荷率のrn向上が図られてきた。需要家に対しても，夏季の電気料金rn単価の高いピーク帯に放電することで，電気料金のメリッrnトがある。rn　一方，低炭素社会に向けた対策として，風力発電・太陽rn光発電といった再生可能エネルギーの導入が加速しているrnが，風力・太陽光発電は天候により出力が大きく変動し不rn確実なので，これを安定化することが重要な課題となる（1）。rnこの出力変動の緩和策としても，NAS電池のような電力貯rn蔵装置の大量導入が一部の風力発電所で進められている。%Recently, the various political movements, which reduce CO_2-emission, have been proposed against global warming. Therefore, battery energy storage systems (BESSs) such as NAS (sodium and sulfur) battery are attracting attention around the world. The first purpose of BESS was the improvement of load factors. The second purpose is the improvement of power quality, especially against voltage-sag. The recent interest is oriented to utilize BESS to mitigate the intermittency of renewable energy.rnNAS battery has two operation modes. The first one is a fixed pattern operation, which is time-schedule in advance. The second mode is the load following operation. Although this mode can perform more the flexible operation by adjusting the change of load, it has the risks of shortage/surplus of battery energy. In this paper, an accurate demand forecasting method, which is based on multiple regression models, is proposed. Using this load forecasting, the more advanced control of load following operation for NAS battery is proposed.