Optimal day‐ahead coordination on wind‐pumped‐hydro system by using multiobjective multistage model

Abstract

Summary This research is motivated by the practice of a well‐known basin—the Yalong River Basin located in the eastern part of the Qinghai‐Tibet Plateau in China, which requires a more reasonable day‐ahead scheduling and operation of a wind‐pumped‐hydro system. Optimal electricity flow remains a widely‐cultivated topic within power system research community since its inception about half‐a‐century ago. In contrast to previous studies, this article proposes a multiobjective multistage nonlinear model to not only for the technical pump‐operating constraints of the coordinated system, but also for lessening the variations on the active power output coming from the intermittence variability of the wind energy resource. Specifically, minimizing the fluctuations of the power output and minimizing the “abandoned rate” of the wind and hydro power are considered two objectives. A state transition equation to compute the energy balance in the reservoir is introduced in the constraint for scheduling the pump‐hydro system. Moreover, the expected operator and chance constraint are used to deal with the stochastic wind energy output. Finally, the scheduling of a wind‐pumped‐hydro system of the Yalong River Basin is proposed as a practical example to illustrate the effectiveness, feasibility, and validity of the proposed model.

Optimal operation scheduling of a pump hydro storage system coupled with a wind farm

“…On the other hand, electricity generation via both hydropower plant and wind farm will occur when the constraints (8) and (27) are satisfied, (see (27)). Whenever volume of energy stored or electricity generation in the hydropower plant does not satisfy (8) or when condition (28) is observed, the electricity generated in the wind farm should be sold directly to the grid, (see (28)). Figure 3 illustrates the methodology used to schedule the wind-hydro system operation.…”

“…Linear programming and, mainly mixed-integer linear programming [27], is the standard approach to model hydro scheduling. However, in recent years an increase in the use of non-linear approaches has been observed, which consider a broader set of parameters and meteorological datasets [28,29].…”

Development and assessment of geothermal‐based underground pumped hydroenergy storage system integrated with organic Rankine cycle and district heating

“…They have observed that pumped energy storage has big potential to reduce environmental impact according to other energy storage options. Yao et al 30 have investigated the wind‐driven hydropumped energy storage system in the Yalong River Basin. They have aimed to develop a multi‐objective strategy which is storing wind energy and balancing intermittent variability of the wind energy.…”