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Renewable energy such as wind generation is a countermeasure against global warming and fossil-energy resource depletion. However, wind-farm (WF) output fluctuates because of unstable wind conditions and the occurrence of long-term fluctuations, which are called ramp events. WF power generation operator needs to observe the grid code (GC) by controlling wind generators themselves or adjusting a WF output with the energy-storage system (ESS). Accordingly, scheduling the operation of WF with ESS and WF output forecast is necessary. Scheduled operation has two parts: scheduling of generation plans (SGP) and operating WF (OWF) outputs with the charge/discharge of ESS. This paper proposes the scheduling method, which can control ramp events and satisfy GC formulation such as mixed integer liner programming in the SGP part, and the balancing method, which can reduce the imbalance energy due to control delay of ESS in the OWF part. We also evaluate these methods by annual numerical simulation. We further confirm the validity and effectiveness of the proposed method, as well as approximate its battery capacity requirement.

SUMMARY In this paper, a new technique of daily peak load forecasting is proposed. At first, we propose nonlinear correction T method as improvement technique of T method that is one of the multivariate analysis techniques, called Mahalanobis–Taguchi (MT) system, suggested in Quality Control. Moreover, we examine the daily peak load forecasting technique, which is based on data in the last year on a forecasting day, by T method and nonlinear correction T method. Furthermore, we examine the technique, which is based on the data of most recent several weeks of a forecasting day, by the T method and Nonlinear correction T method. In addition, the effectiveness of the proposed method by comparing the multiple regression analysis is discussed.