A Load-based Mechanism Supporting Peak Shaving for Energy Storage (ES): an Adaptive Method

As a kind of elastic element in power grid that can be flexibly charged and discharged, energy storage (ES) can greatly enhance the flexibility of power system, support the development of distributed power generation, and promote the coordination between energy production and consumption. In many applications of ES, peak load shaving to optimize the power load curve is an important utilization case, which can improve the operation of the power grid. Among the emerging optimization methods for ES to perform peak shaving, however, mostly must rely on sophisticated modeling. They also need comparatively complicated calculation and normally be solved by some scientific computing tools or intelligent optimization algorithms. In this work, a load-based mechanism supporting peak shaving for ES is proposed. The power load profile, battery SOC and operation characteristics of ES are comprehensively considered, with an adaptive method fit for load curve developed. The simulation case verified the designed approach can give prominent outcome for ES peak shaving while need superb low computational effort. It is also easy and convenient to be deployed, thus providing an effective means for ES to participate into peak load shaving.