| 引用本文: | 王玮,张晓晴,苏粟,李泽宁,王业庭,夏冬,王世丹.基于模型预测控制的含岸电混合能源系统优化运行[J].电力自动化设备,2021,41(11): |
| WANG Wei,ZHANG Xiaoqing,SU Su,LI Zening,WANG Yeting,XIA Dong,WANG Shidan.Optimal operation of hybrid energy system considering cold ironing based on model predictive control[J].Electric Power Automation Equipment,2021,41(11): |
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| 摘要: |
| 针对港口中包含岸电、海上风机与储能的混合能源系统，提出一种系统优化运行方法。该方法建立混合能源系统模型，其中包括岸电负荷预测模型、岸电动态电价模型、风机模型与储能模型。针对岸电负荷不确定性导致的预测精确度较小的问题，提出一种分频段预测方法，该方法利用小波包分解进行信号分频并根据不同频段特点选择不同的预测方法，提高了预测准确率；针对岸电供售电价格机制不明确的问题，提出与岸电用电量线性相关的阶梯服务费模型和随负荷变化动态调整的电价模型，平衡了港口企业、航运企业与电网企业三方利益；针对整数变量引入形成的混合整数非线性规划问题，采用模型预测控制滚动优化方法，利用CPLEX+YALMIP进行求解，改善了开环优化方法在不确定性环境下误差较大的问题，得到了系统总运行成本最小的优化结果。 |
| 关键词: 岸电 混合能源系统 模型预测控制 滚动优化 混合整数规划 |
| DOI：10.16081/j.epae.202107012 |
| 分类号:TM73;TK01 |
| 基金项目:国家自然科学基金资助项目(51677004)；国家电网公司科技项目(SGXYKJ-2020-001) |
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| Optimal operation of hybrid energy system considering cold ironing based on model predictive control |
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WANG Wei1, ZHANG Xiaoqing1, SU Su1, LI Zening1, WANG Yeting2, XIA Dong3, WANG Shidan4
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1.National Active Distribution Network Technology Research Center, Beijing Jiaotong University, Beijing 100044, China;2.State Grid Xinyuan Holdings Co.,Ltd.,Beijing 100761, China;3.Economic and Technological Research Institute of State Grid Tianjin Electric Power Company, Tianjin 276000, China;4.Haidian Electric Power Supply Company of State Grid Beijing Electric Power Company, Beijing 100000, China
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| Abstract: |
| An optimal operation approach is proposed for the hybrid energy system in the port. The system includes cold ironing, offshore wind turbine and energy storage. A hybrid energy system model is established, including load forecasting model, dynamic electricity price model, wind turbine model and energy storage model. Aiming at the problem of low accuracy of load prediction caused by the uncertainty in demands, a new approach is proposed to improve prediction accuracy, which uses wavelet packet decomposition for signal frequency division and selects different prediction approaches according to the characteristics of different frequency bands. In view of unclear electricity pricing mechanism for supply and sale, a model that sets the service fees increasing with the cold ironing power consumption and dynamically adjusting the electricity price according to demand level is proposed. This model balances the interests of the port, ship-owner and power grid. In view of the mixed-integer nonlinear programming problem caused by the introduction of integer variables, the MPC(Model Predictive Control) approach is used for rolling optimization, and CPLEX+YALMIP is employed to solve the problem, which reduces the error of the open-loop optimal control approach, and the optimization results that minimize the total operating cost of system are obtained. |
| Key words: cold ironing hybrid energy system model predictive control rolling optimization mixed-integer programming |
