Probability-Interval based Optimal Planning of Integrated Energy System with Uncertain Wind Power

2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS) Pub Date : 2019-05-01 DOI:10.1109/ICPS.2019.8733343

Zhe Li, Chengfu Wang, Ying Ding, Ming Yang, Wenli Zhu

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引用次数: 26

Abstract

Owing to higher energy supply efficiency and operational flexibility, integrated energy system (IES), including power, heating and gas systems, will be the primary form of energy supply in the future. However, with the increase of large-scale stochastic wind power integrated, the IES operation will face significant challenge as same as traditional power system. In view of the above problems, considering the probability distribution characteristics of wind power, a conditional value-at-risk (CVaR) based probability-interval method is proposed to describe the uncertain wind power in this paper. Then, besides traditional facilities, electricity storage system (ESS) is introduced to improve the flexibility of IES. Furthermore, a planning model is established based on minimizing the total cost including investment, operation, CVaR cost and unserved energy cost. Finally, an IEEE14-NGS14 system is constructed and its planning model is solved by GAMS/CPLEX. The numerical results illustrate the correctness and effectiveness of the proposed method.

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由于更高的能源供应效率和操作灵活性，综合能源系统(IES)，包括电力、加热和燃气系统，将是未来能源供应的主要形式。然而，随着大规模随机风电并网的增加，IES的运行将面临与传统电力系统一样的重大挑战。针对上述问题，考虑风电的概率分布特点，本文提出了一种基于条件风险值(CVaR)的概率区间方法来描述风电的不确定性。然后，在传统设施的基础上，引入储能系统(ESS)，提高储能系统的灵活性。在此基础上，建立了以投资成本、运行成本、CVaR成本和未服务能源成本等总成本最小为目标的规划模型。最后，构建了IEEE14-NGS14系统，并利用GAMS/CPLEX对其规划模型进行了求解。数值结果表明了该方法的正确性和有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS)

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