Robust optimal scheduling model for a 'wind power-concentrating solar power-biomass' hybrid power plant in the electricity market

被引：0

作者：

Zang H. ^{[1
]}

Ma M. ^{[1
]}

Zhou Y. ^{[1
]}

Xia Q. ^{[1
]}

Sun G. ^{[1
]}

Wei Z. ^{[1
]}

机构：

[1] College of Energy and Electrical Engineering, Hohai University, Nanjing

来源：

Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2022年 / 50卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Electricity market; Hybrid power plant; Optimal scheduling; Quantitative risk index; Robust optimization;

D O I：

10.19783/j.cnki.pspc.210885

中图分类号：

学科分类号：

摘要：

A hybrid power plant composed of wind farm, concentrating solar power station and biomass boiler can effectively improve overall operating income while participating in the power market. The study focuses on the integration of the hybrid power plant in the electricity market. A robust optimal scheduling model for wind power-concentrating solar power-biomass hybrid power plant is proposed based on the structure and operation mechanism of the plant. The model takes maximizing operating profit as the objective function, and considers the benefits of hybrid power plant participating in the power market, the environmental benefits of parallel operation, the penalty costs of wind abandonment and solar abandonment, the operating and maintenance costs of each component, and the system operation constraints. Given the uncertainty faced by a hybrid power plant and the risks that it entails, a robust optimization approach is used to deal with the uncertainties brought by the wind power, concentrating solar power, load, and electricity market prices. In addition, a risk index system is presented to balance the robustness and economy of the system. This provides a decision-making basis for hybrid power plant operators. The numerical examples verify the effectiveness of the proposed model and method. © 2022 Power System Protection and Control Press.

引用

页码：1 / 11

页数：10

共 31 条

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