基于SMPC的区域综合能源系统优化调度

2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2020-10-30 DOI:10.1109/EI250167.2020.9346607

Ying Zhang, Yuejin Ji, Ming Wu, Baodi Ding, Hui Yu, L. Kou

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引用次数: 1

摘要

随着能源互联网的快速发展，由风力发电、光伏发电、热电联产、电锅炉、蓄电储能、蓄热储能等组成的区域一体化能源系统在世界范围内得到广泛应用。针对可再生能源出力和负荷需求的不确定性，提出了一种基于随机模型预测控制(SMPC)的区域综合能源系统优化调度方法。首先，通过情景分析，用典型情景集描述了各时段可再生能源输出和负荷需求的不确定性。然后以运行成本最小为目标，建立了区域综合能源系统动态滚动优化调度模型。仿真结果验证了本文方法的有效性和可行性。

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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Optimal Dispatching of Regional Integrated Energy System Based on SMPC

Along with the rapid development of energy internet, a regional integrated energy system consisting of wind turbine, photovoltaic, combined heat and power system, electric boiler, electrical energy storage and heat energy storage is widely used around the world. In order to deal with the uncertainty of renewable energy output and load demand, an optimal dispatching method of regional integrated energy system based on stochastic model predictive control (SMPC) is proposed in this paper. First, the uncertainty of renewable energy output and load demand at each time section is described with typical scenario sets via scenario analysis. Then, the minimum operating cost is taken as objective to establish the dynamic rolling optimal dispatching model of regional integrated energy system. The validity and feasibility of the method proposed in this paper are verified by simulation results.

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2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)

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