A Distributionally Robust Chance Constrained Planning Method for Integrated Energy Systems

2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2019-12-01 DOI:10.1109/APPEEC45492.2019.8994548

Jingdong Zhou, Wenliang Liu, Xiang Chen, Mingjie Sun, Chao Mei, Shuaijia He, Hongjun Gao, Junyong Liu

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引用次数: 8

Abstract

It is of great significance for the development of urban energy Internet to realize the coordinated planning of integrated energy system. Based on this, a distributionally robust chance constrained (DRCC) planning method for the integrated heat and electricity system is proposed. Firstly, the model considers the investment of energy storage devices, taking the minimum investment and operation cost of electro-thermal coupling system as the optimization objective. The planning model takes into account the investment constraints of energy storage systems and the operation constraints of energy conversion devices. Secondly, the power balance constraint is expressed as a chance constrained to ensure the safe and reliable operation of the system. The moment uncertainty based distributionally robust method is used to deal with the uncertainty of wind power. Then, the DRCC model is established. In addition, The DRCC model is transformed into a second order cone programming model by the CVaR approximation method and duality theorem. Finally, the model is solved by CPLEX in MATLAB. The effectiveness of the DRCC method for the integrated heat and electricity system proposed in this paper is verified by an example.

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综合能源系统的分布鲁棒机会约束规划方法

实现综合能源系统的协同规划，对城市能源互联网的发展具有重要意义。在此基础上，提出了一种分布式鲁棒机会约束的热电一体化系统规划方法。首先，该模型考虑了储能设备的投资，以电热耦合系统的投资和运行成本最小为优化目标。规划模型考虑了储能系统的投资约束和能量转换装置的运行约束。其次，将功率均衡约束表示为保证系统安全可靠运行的机会约束。采用基于矩不确定性的分布鲁棒方法来处理风电的不确定性。然后，建立了DRCC模型。利用CVaR逼近法和对偶定理，将DRCC模型转化为二阶锥规划模型。最后在MATLAB中用CPLEX对模型进行求解。通过算例验证了本文提出的热电一体化系统DRCC方法的有效性。

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 PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

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