Optimization Method for Operation Schedule of Microgrids Considering Uncertainty in Available Data

Hirotaka Takano,Ryota Goto,Ryosuke Hayashi,Hiroshi Asano

doi:10.3390/en14092487

Hirotaka Takano, Ryota Goto + Show 2 more

Open Access

https://doi.org/10.3390/en14092487

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Abstract

Operation scheduling in electric power grids is one of the most practical optimization problems as it sets a target for the efficient management of the electric power supply and demand. Advancement of a method to solve this issue is crucially required, especially in microgrids. This is because the operational capability of microgrids is generally lower than that of conventional bulk power grids, and therefore, it is extremely important to develop an appropriate, coordinated operation schedule of the microgrid components. Although various techniques have been developed to solve the problem, there is no established solution. The authors propose a problem framework and a solution method that finds the optimal operation schedule of the microgrid components considering the uncertainty in the available data. In the authors’ proposal, the objective function of the target problem is formulated as the expected cost of the microgrid’s operations. Since the risk of imbalance in the power supply and demand is evaluated as a part of the objective function, the necessary operational reserve power is automatically calculated. The usefulness of the proposed problem framework and its solution method was verified through numerical simulations and the results are discussed.

Highlights

Microgrids are a framework of smart power grids that manage a localized group of electrical power sources and loads
We can remove the traditional constraints for the balance of power supply and demand and the operational margin from the problem formulation
Since the operational margin has a large impact on the expected cost, the necessary reserve power is automatically secured in the obtained operation schedule

Summary

Introduction

Microgrids are a framework of smart power grids that manage a localized group of electrical power sources and loads. Electric vehicles (EVs) are a typical example (accepted: ESS, not accepted: CL) The latter type consists of electrical appliances on the consumer side and variable renewable energy-based generation systems (VREGs). The VREGs take a significant portion of the electrical power source, and they create difficulties in the management of the power supply and demand. The surplus or the shortage of the power supply has to be eliminated by extra payments to the bulk power grids This is an imbalance penalty and it is generally very expensive. The advancement of operation scheduling techniques in microgrids is crucially required

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