多能源混合网络优化调度理论研究
The Optimization Scheduling Theory Research of Multi-Energy System
DOI: 10.12677/SG.2017.73022, PDF, HTML, XML, 下载: 1,787  浏览: 3,495 
作者: 葛丹丹：华北电力大学新能源电力系统国家重点实验室，北京；邹裕志：国网南平供电公司，福建 南平；史萌萌：国网江西省供电公司景德镇市分公司，江西 景德镇
关键词: 多能源系统；最优潮流；粒子群优化算法；Multi-Energy System； Optimal Power Flow； Particle Swarm Optimization Algorithm
摘要: 为了应对世界范围内的能源危机和环境污染问题，以三联供为代表的多能源混合系统应用而生。但实际运行经验表明，若潮流分布不合理，多能源混合系统可能存在生产成本和发电效益不匹配的问题。本文以IEEE 123节点网络为例，研究了含天然气和电力在内的混合网络的潮流优化问题，首先利用OpenDSS软件搭建混合网络模型，同时设置各种约束条件，然后将OpenDSS模型导入MATLAB，最后利用MATLAB工具箱提供的粒子群优化算法实现混合网络的潮流优化。
Abstract: In response to the worldwide energy crisis and environmental pollution problems, multi-energy system emerges. The most representative system is the CCHP system containing cool, heat and power. The actual operating experience shows that if the power flow distribution is unreasonable, the production cost and generation benefits of multi-energy system might not match. The IEEE 123 system is brought in to research the optimization problem of multi-energy system, which contains natural gas and electric power. The network model and constraint of multi-energy system are both realized with OpenDSS software then import the OpenDSS model into MATLAB. Finally, the optimization problem of multi-energy system is realized with the particle swarm optimization algorithm provided by MATLAB.
文章引用：葛丹丹, 邹裕志, 史萌萌. 多能源混合网络优化调度理论研究[J]. 智能电网, 2017, 7(3): 196-205. https://doi.org/10.12677/SG.2017.73022

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