| 引用本文: | 吴文泰,张 春,栾惟聪,欧阳昌乐,叶 文.基于二层邻居牵制一致性的并网微电网经济优化控制方法[J].电力系统保护与控制,2024,52(17):73-84.[点击复制] |
| WU Wentai,ZHANG Chun,LUAN Weicong,OUYANG Changle,YE Wen.Economic optimization control method for a grid-connected microgrid based on second-order neighbor pinning consensus[J].Power System Protection and Control,2024,52(17):73-84[点击复制] |
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| 摘要: |
| 为提高并网微电网系统经济优化响应速度，降低整体发电运行成本，提出二层邻居牵制一致性算法。该算法将成本微增率(incremental cost rate, ICR)定义为状态变量，引入功率偏差消除项快速消除总功率偏差，利用二层邻居项和牵制项实现快速收敛于最优ICR，计算得到各分布式电源(distributed generation, DG)的最优有功出力参考值。随后提出基于二层邻居牵制一致性的并网微电网经济优化控制方法。该方法基于构建的三层分布式分层架构，第一控制层为双闭环反馈的下垂控制，第二控制层采用电压频率优化控制，稳定系统的频率和电压，第三控制层将各DG最优有功出力参考值输出到P/f下垂控制层，从而实现系统经济优化以及负荷功率供需平衡的目标。最后搭建8个DG并联运行系统仿真模型进行仿真实验。仿真结果表明，所提方法能完成有功出力的经济分配，且系统响应性能优，在负荷突增、功率越限、分时电价、拓扑切换、计及线路损耗、即插即用等因素影响系统运行时，所提方法能使微电网快速达到经济优化状态。 |
| 关键词: 成本微增率 二层邻居牵制一致性 并网微电网 经济优化控制 分布式分层控制 |
| DOI：10.19783/j.cnki.pspc.231496 |
| 投稿时间：2023-11-24修订日期：2024-03-22 |
| 基金项目:国家自然科学基金项目资助(U21A20146)；安徽高校协同创新项目资助(GXXT-2020-070)；安徽工程大学项目式课程建设项目资助(2023xmskk03) |
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| Economic optimization control method for a grid-connected microgrid based on second-order neighbor pinning consensus |
| WU Wentai,ZHANG Chun,LUAN Weicong,OUYANG Changle,YE Wen |
| (School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China) |
| Abstract: |
| To improve the economic optimization response speed of a grid-connected microgrid system and reduce the overall generation operational cost, a second-order neighbor pinning consensus algorithm is proposed. The incremental cost rate (ICR) is defined as a state variable, the power deviation elimination term is introduced to quickly eliminate the total power deviation, and the second-order neighbor term and pin term are used to achieve fast convergence to the optimal ICR. The optimal active output reference value for each distributed generation (DG) is calculated. Then, an economic optimization control method of grid-connected microgrids based on second-order neighbor pinning consensus is proposed. The new method is based on a constructed three-layer distributed hierarchical architecture. The first control layer is a droop control with dual closed-loop feedbacks, the second uses voltage-frequency optimization control to stabilize the system’s frequency and voltage, and the third outputs the optimal active output reference value of each DG to the P/f droop control layer to achieve the economic optimization of the system as well as the balance between load power supply and demand. Finally, a simulation model of the eight-DG parallel operation system is built. The simulation results show that the proposed method can complete the economic distribution of active power output, and the system has excellent response performance. When the system is affected by factors such as sudden load increase, power overlimit, time-of-use tariffs, topology switching, line loss and plug and play, etc., the proposed method can make the microgrid reach the economic optimization state quickly. |
| Key words: incremental cost rate second-order neighbor pinning consensus grid-connected microgrid economic optimization control distributed hierarchical control |
