Robust Co-Optimization to Energy and Reserve Joint Dispatch Considering Wind Power Generation and Zonal Reserve Constraints in Real-Time Electricity Markets

Chunlai Li,Fan Liu,Yuntao Ju,Shun Yuan,Tao Ding,Jingyang Yun

doi:10.3390/app7070680

Abstract

This paper proposes an energy and reserve joint dispatch model based on a robust optimization approach in real-time electricity markets, considering wind power generation uncertainties as well as zonal reserve constraints under both normal and N-1 contingency conditions. In the proposed model, the operating reserves are classified as regulating reserve and spinning reserve according to the response performance. More specifically, the regulating reserve is usually utilized to reduce the gap due to forecasting errors, while the spinning reserve is commonly adopted to enhance the ability for N-1 contingencies. Since the transmission bottlenecks may inhibit the deliverability of reserve, the zonal placement of spinning reserve is considered in this paper to improve the reserve deliverability under the contingencies. Numerical results on the IEEE 118-bus test system show the effectiveness of the proposed model.

Highlights

To alleviate the problem of fossil energy shortages, excessive carbon emissions, and ecological damages, power generation based on large-scale renewables like wind and solar photovoltaic has been developed at a rapid rate
This paper focuses on the optimal scheduling of active power in the power system with the integration of large-scale wind power generation
The model proposed in this paper can generate a robust scheduling scheme immune to the largest fluctuation of the renewable energy output; The zonal spinning reserves can enable the deliverability of spinning reserves, when an outage of generators occurs; The N-1 security criterion of unit and transmission lines is executed to guarantee the feasibility of the initial scheduling scheme

Summary

Introduction

To alleviate the problem of fossil energy shortages, excessive carbon emissions, and ecological damages, power generation based on large-scale renewables like wind and solar photovoltaic has been developed at a rapid rate. A robust co-optimization to energy and ancillary service joint dispatch considering wind power uncertainties in real-time electricity markets was proposed in [5] Both models in [4,5] are based on Direct Current (DC) power flow. Compared with the prior art works, the major contributions of this paper are summarized as: The model proposed in this paper can generate a robust scheduling scheme immune to the largest fluctuation of the renewable energy output; The zonal spinning reserves can enable the deliverability of spinning reserves, when an outage of generators occurs; The N-1 security criterion of unit and transmission lines is executed to guarantee the feasibility of the initial scheduling scheme.

Robust Co-Optimization to Energy and Reserve Joint Dispatch

Robust Co-Optimization Considering N-1 Constraints and Active Set Method

N-1 Contingency Constraints for Generators

Results

Conclusions