| 引用本文: | 郑宝敏,余涛,瞿凯平,李富盛.电–气互联系统的气电解耦分布式多目标优化调度[J].控制理论与应用,2019,36(3):492~503.[点击复制] |
| ZHENG Bao-min,YU Tao,KU Kai-ping,LI Fu-sheng.Distributed multi-objective optimization for scheduling of integrated electric and gas system based on electric and gas network decoupling[J].Control Theory and Technology,2019,36(3):492~503.[点击复制] |
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| 电–气互联系统的气电解耦分布式多目标优化调度 |
| Distributed multi-objective optimization for scheduling of integrated electric and gas system based on electric and gas network decoupling |
| 摘要点击 2417 全文点击 818 投稿时间：2018-09-07 修订日期：2019-02-26 |
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| DOI编号 10.7641/CTA.2019.80670 |
| 2019,36(3):492-503 |
| 中文关键词 气电解耦 分布式多目标 高私密性 电-气互联系统 分散自治 |
| 英文关键词 Decoupling of electric and gas network distributed multi-objective high privacy integrated electric and gas system distributed autonomy |
| 基金项目 国家自然科学基金(51477055, 51777078) |
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| 中文摘要 |
| 本文基于能源互联网背景建立了一种计及供能成本、碳排放量和负荷曲线平滑度的电-气互联系统多目标优化运行模型，并采用线性化方法将非线性优化模型转化为混合整数线性规划模型。同时，为了在保障各能源网络分散自治权的基础上实现各能源的协同互补利用、提高能源的利用率，提出一种基于气电解耦的分布式多目标优化方法求解该模型。该算法将原系统的多目标优化问题分解为电网和气网的子优化问题，并采用独立的优化器完成子问题的求解，网络之间仅需交换少量边界变量以及虚拟目标因子分别进行全局调整即可获得多目标解。最后，根据修改的IEEE 39节点电力网络和比利时20节点天然气网络搭建模型进行仿真分析并与集中式方法对比，结果验证：所提算法能够以高精度完成电-气互联系统的解耦多目标并行求解，从而提高系统信息私密性、实现各能源网络的分散自治。 |
| 英文摘要 |
| With the background of energy internet, in this paper a multi-objective optimization model of integrated electric and gas system is established, where three objectives, e.g., the cost of energy supply, carbon emission and the smoothness of load curve, are taken into account and then an incremental piecewise linearization method is adopted to transform the nonlinear optimization model into a mixed integer linear programming model. To promote coordinated, complementary and effective use of various energy sources on the basis of disparate autonomy of each energy network, a decentralized multi-objective optimization method with decoupling between electricity and gas network is proposed, where the original multi-objective optimization problem is decomposed into two sub-problems of power grid and gas network, following by two independent optimizers to solve the sub-problems. Within each sub region, an independent optimizer is used to optimize its own sub problem using only boundary variables and virtual objective coefficients from the other interconnected region, which can be utilized for the global regulation. Finally, connecting the modified IEEE 39-node electric network and the Belgian 20-node gas network to construct a model for simulation analysis, and compare results of the proposed algorithm with that of the centralized algorithm. The simulation results verify that the proposed algorithm can accurately handle the decoupling and multi-objective parallelizing optimization of the integrated electric and gas system and achieve decentralized autonomy of energy networks, which is quite useful and valuable for improvement of system information privacy. |
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