Research on Robust Stochastic Dynamic Economic Dispatch Model Considering the Uncertainty of Wind Power

Xiangyang Su,Chun Wei,Chaofan Liu,Xiaoqing Bai,Rujie Zhu

doi:10.1109/access.2019.2946460

Abstract

The increasing penetration rates of wind power in power systems bring challenges to the dynamic economic dispatching. This paper proposes a Robust Stochastic Optimization (RSO) model to handle the uncertainty of wind power in dynamic economic dispatch. Based on the event-wise ambiguity set and event-wise recourse adaptation, the RSO model has generality and enables the ambiguity set to be constructed irrelatively to the specific problem. Furthermore, by introducing the detail-variables, the adjustment of event-wise ambiguity set of the RSO model can reduce the conservativeness. To the dynamic economic dispatch problem, simulations studies on the IEEE 118-bus system and IEEE 300-bus system verify that 1) RSO model is flexible and adjustable; 2) RSO model has excellent performance under different penetration rates of wind power; 3) Compared with the results of Robust Optimization (RO) and Stochastic Optimization (SO), RSO model can balance the economy and robustness effectively; 4) The RSO model has better performance in dealing with the small sample volume of wind power data.

Highlights

Developing and utilizing renewable energy is the inevitable trend of developing energy-saving, emission reduction, and low carbon environmental protection
This paper proposes an RSO model to solve the dynamic economic dispatch optimization model considering the uncertainty of wind power in the power system
The main contributions of this paper are as follows: 1) A novel RSO model composed of event-wise ambiguity set and event-wise recourse adaptations is applied to the day-ahead dynamic economic dispatch problem of power system considering the uncertainty of wind power, which can compensate for the conservativeness of Robust Optimization (RO) model and the inefficiency of Stochastic Optimization (SO) model

Summary

INTRODUCTION

Developing and utilizing renewable energy is the inevitable trend of developing energy-saving, emission reduction, and low carbon environmental protection. The main contributions of this paper are as follows: 1) A novel RSO model composed of event-wise ambiguity set and event-wise recourse adaptations is applied to the day-ahead dynamic economic dispatch problem of power system considering the uncertainty of wind power, which can compensate for the conservativeness of RO model and the inefficiency of SO model. 2) In order to apply the RSO model to solve the dynamic economic dispatch problem with uncertain wind power, we propose to use the Monte Carlo method and scenarios reduction technology to construct affine functions related to wind power. The DRO model based on Wasserstein ambiguity set is often used to solve the dynamic economic dispatch problem This method is prone to over-conservative when the sample volume of wind power data is small.

SOLVING DYNAMIC ECONOMIC DISPATCH PROBLEM BASED ON RSO MODEL

MODEL REFORMULATION

NUMERICAL SIMULATION

Findings

CONCLUSION