| 引用本文: | 陈安伟,华浩瑞,李鹏,等.实时电价机制下交直流混合微网优化运行方法[J].电力系统保护与控制,2017,45(7):13-20.[点击复制] |
| CHEN Anwei,HUA Haorui,LI Peng,et al.Optimal operation of AC/DC hybrid micro-grid based on real-time price mechanism[J].Power System Protection and Control,2017,45(7):13-20[点击复制] |
|
| 摘要: |
| 为了提高交直流混合微网经济效益，提出实时电价机制下的交直流混合微网优化运行方法。首先针对交直流混合微网的结构和电气特性建立其优化运行模型；其次针对微网中负荷构成建立了基于负荷分类的负荷水平对实时电价的响应模型。所提出的日前调度模型将交直流混合微网制定的网内实时电价作为控制变量，给出实时电价制定策略和交直流混合微网日前调度方案。对所建立的模型采用混沌粒子群算法求解。最后通过一个算例验证了所提出方法可以提高风光消纳率，增加交直流混合微网收益并且减小用户平均电费支出。 |
| 关键词: 交直流混合微网 优化运行 实时电价 需求侧响应 混沌粒子群算法 |
| DOI：10.7667/PSPC160487 |
| 投稿时间：2016-04-08修订日期：2016-07-14 |
| 基金项目:国家高技术研究发展计划(863计划) (2015AA050104);国家自然科学基金项目(51577068) |
|
| Optimal operation of AC/DC hybrid micro-grid based on real-time price mechanism |
| CHEN Anwei,HUA Haorui,LI Peng,SU Yifang |
| (State Grid Zhejiang Electric Power Company, Hangzhou 310007, China;State Grid Zhejiang Electric Power Company, Hangzhou 310007, China;School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China) |
| Abstract: |
| In order to improve the economic benefit of AC / DC hybrid microgrid, an optimal operation method based on real-time price mechanism is proposed. Firstly the optimal operation model is built according to the structure and electrical characteristics of AC/DC microgrid. Secondly according to load composition, the load level response model to real-time price based on load classification is constructed. The proposed day-ahead scheduling model is used considering the real time price as the control variables, and the real-time price on next day and the day-ahead scheduling of AC/DC microgrid can be given by this model. The proposed model is solved by chaotic particle swarm optimization algorithm. Finally through an example to verify the method proposed in this paper can improve the scenery absorptive rate, increase the AC DC hybrid microgrid revenue and reduce user’s average electricity costs. This work is supported by National High-tech R & D Program of China (863 Program) (No. 2015AA050104) and National Natural Science Foundation of China (No. 51577068). |
| Key words: AC/DC hybrid microgrid optimized operation real-time price demand side response chaotic particle swarm optimization algorithm |
