| 引用本文: | 朱翰超,马蕊.考虑需求侧管理的冷热电联供微电网优化配置方法[J].电力系统保护与控制,2019,47(2):139-146.[点击复制] |
| ZHU Hanchao,MA Rui.Optimal configuration method of CCHP microgrid considering demand side management[J].Power System Protection and Control,2019,47(2):139-146[点击复制] |
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| 摘要: |
| 冷热电联供微电网可提高供用电系统灵活多样的能量优化调度调控水平，已成为微电网技术发展的必然趋势之一。对冷热电联供微电网系统引入了需求侧管理手段，充分利用需求侧资源发掘了系统的经济性。首先对系统中所采取的需求侧管理技术进行建模，包括对需求侧管理的采用方式以及调用成本。其次以综合优化配置成本为目标函数，计及多种必要的约束条件，建立考虑需求侧管理的冷热电联供微电网优化配置模型。采用混沌粒子群算法对所建立的模型进行求解。优化配置结果表明，离网模式下系统优化配置成本要高于并网模式下的，而考虑需求侧管理技术的系统优化配置成本要小于不考虑需求侧管理手段的。通过对系统引入需求侧管理手段能够降低系统优化配置成本，证明了该模型的正确性和有效性。 |
| 关键词: 冷热电联供微电网 需求侧管理 优化配置 混沌粒子群算法 |
| DOI：10.7667/PSPC180094 |
| 投稿时间：2018-01-21修订日期：2017-08-03 |
| 基金项目:河北省自然科学基金项目资助(E2013502074) |
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| Optimal configuration method of CCHP microgrid considering demand side management |
| ZHU Hanchao,MA Rui |
| (State Grid Jibei Electric Power Company Limited Management Training Center, Beijing 102401, China;State Grid Jibei Electric Economic Research Institute, Beijing 100038, China) |
| Abstract: |
| The CCHP microgrid can improve the level of flexible and diversified energy optimization and regulation of the power supply system, which has become one of the inevitable trends in the development of microgrid technology. The DSM method is introduced to CCHP microgrid system, and the economy of the system is excavated by full use of the demand side resources. Firstly, this paper models the DSM technology adopted in the system, including method of adoption and the cost. Secondly, taking the comprehensive optimization allocation cost as the objective function and taking various necessary constraints into account, an optimal configuration model of CCHP microgrid considering DSM is established. The chaotic Particle Swarm Optimization (PSO) is used to solve the model. The optimal configuration results show that the optimal configuration cost of the system is higher in grid off mode than that under grid connected mode, while the cost of system considering DSM technology is less than that without DSM. The introduction of DSM to the system can reduce the optimal configuration cost of the system, which proves the correctness and effectiveness of the model. This work is supported by Natural Science Foundation of Hebei Province (No. E2013502074). |
| Key words: CCHP microgrid demand side management optimal configuration chaotic particle swarm optimization |
