| 引用本文: | 刘玉奇,臧传治,王悦,刘鼎,曾鹏,胡博.基于随机经济模型预测控制的电热综合能源系统运行优化[J].电力自动化设备,2021,41(7): |
| LIU Yuqi,ZANG Chuanzhi,WANG Yue,LIU Ding,ZENG Peng,HU Bo.Optimal operation of electricity-heating integrated energy system based on stochastic economic model predictive control[J].Electric Power Automation Equipment,2021,41(7): |
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| 基于随机经济模型预测控制的电热综合能源系统运行优化 |
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刘玉奇1,2,3, 臧传治1,2,3, 王悦4, 刘鼎1,3,5, 曾鹏1,3, 胡博6
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1.中国科学院 网络化控制系统重点实验室，辽宁 沈阳 110016;2.中国科学院 沈阳自动化研究所，辽宁 沈阳 110016;3.中国科学院 机器人与智能制造创新研究院，辽宁 沈阳 110169;4.辽宁省防雷技术服务中心，辽宁 沈阳 110010;5.中国科学院大学，北京 100049;6.国网辽宁省电力有限公司，辽宁 沈阳 110000
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| 摘要: |
| 北方供暖地区存在大量热电联产机组，其“以热定电”的运行特性限制了机组调峰能力。同时，随着我国能源替代的提出以及风电的快速发展，建立包含风电的电热综合能源系统是降低电热耦合以及系统运行成本的重要手段。因此，建立电热综合能源系统模型，在满足用户电热负荷需求的基础上，综合考虑风电不确定性以及系统动态过程中的经济性，提出一种基于情景树结构的随机经济模型预测控制策略。为了降低风电功率随机性干扰和风电功率变化难以描述的问题，提出采用一种改进的非线性变换方法建立风电功率非高斯分布模型，在此基础上建立基于情景树结构的风电功率变化显式表达结构，在保证鲁棒性的同时降低了优化过程中风电随机性的干扰。最后，通过累计节约成本的复合单步增长率指标验证所提策略的有效性。 |
| 关键词: 电热综合能源系统 随机经济模型预测控制 情景树结构 风电 非高斯分布模型 |
| DOI：10.16081/j.epae.202105023 |
| 分类号:TM73 |
| 基金项目:国家重点研发计划项目(2017YFB0902104) |
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| Optimal operation of electricity-heating integrated energy system based on stochastic economic model predictive control |
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LIU Yuqi1,2,3, ZANG Chuanzhi1,2,3, WANG Yue4, LIU Ding1,3,5, ZENG Peng1,3, HU Bo6
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1.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang 110016, China;2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China;3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China;4.Liaoning Lightning Protection Technical Service Center, Shenyang 110010, China;5.University of Chinese Academy of Sciences, Beijing 100049, China;6.State Grid Liaoning Electric Power Co.,Ltd.,Shenyang 110000, China
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| Abstract: |
| In the northern heating area, there are a large number of combined heat and power units, of which the operating characteristics of “power determined by heat” restrict the peak load regulation capacity of these units. At the same time, with the proposal of energy substitution and the increasing penetration of wind power in China, the establishment of an electricity-heating integrated energy system including wind power is an important means to reduce the electricity-heating coupling and operating cost of system. Therefore, the model of the electricity-heating integrated energy system is developed. On the basis of satisfying consumers’ demand for both electric and heating, the stochastic economic model predictive control strategy is proposed, which considers the wind power uncertainty and the operating cost during the dynamic process of system. Specifically, an improved nonlinear transformation method is proposed to establish a non-Gaussian distribution model of wind power, which can reduce the impact of intermittent wind power production and the difficulty of accurately representing the variability of wind power. Moreover, an explicit expression structure that describes the variation of wind power based on scenario tree structure is established, which ensures the robustness of algorithm and reduces the impact of wind power variability. Finally, the effectiveness of the proposed strategy is verified by the compound single-step growth rate index of cumulative cost saving. |
| Key words: electricity-heating integrated energy system stochastic economic model predictive control scenario tree structure wind power non-Gaussian distribution model |
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