| 海岛独立微电网多时间尺度能量调度方法研究 |
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| 引用本文： | 张惠臻,王刚,夏立,付立军,李长乐.海岛独立微电网多时间尺度能量调度方法研究[J].航空动力学报,2018,45(12):113-120. |
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| 作者姓名： | 张惠臻 王刚 夏立 付立军 李长乐 |
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| 作者单位： | 海军工程大学 舰船综合电力技术国防科技重点实验室,湖北 武汉430000,海军工程大学 舰船综合电力技术国防科技重点实验室,湖北 武汉430000,海军工程大学 舰船综合电力技术国防科技重点实验室,湖北 武汉430000,海军工程大学 舰船综合电力技术国防科技重点实验室,湖北 武汉430000,海军工程大学 舰船综合电力技术国防科技重点实验室,湖北 武汉430000;上海电器科学研究所集团有限公司,上海200063] |
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| 基金项目： | 湖北省自然科学基金青年基金项目(2018CFB291) |
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| 摘 要： | 海岛独立微电网是一个复杂信息物理系统,其能量调度是非线性、多约束、多时间尺度的动态性问题。针对这一问题,研究了改进自适应粒子群算法的多时间尺度优化调度模型,并给出了日前多目标调度模型和日内滚动优化修正模型。日前多目标调度基于改进自适应粒子群算法进行多目标优化,确保微电网系统的经济性和稳定性；日内滚动优化调度采取滚动优化方式修正日前调度,确保日前调度的有效性。仿真算例验证了所提方法的有效性和可行性。
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| 关 键 词： | 海岛独立微电网 能量调度 多时间尺度 自适应粒子群算法 滚动优化 |
| 收稿时间： | 2018/7/1 0:00:00 |
MultiTimeScale Energy Management of Island Independent Microgrid |
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| ZHANG Huizhen,WANG Gang,XIA Li,FU Lijun and LI Changle.MultiTimeScale Energy Management of Island Independent Microgrid[J].Journal of Aerospace Power,2018,45(12):113-120. |
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| Authors: | ZHANG Huizhen WANG Gang XIA Li FU Lijun and LI Changle |
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| Institution: | National Key Laboratory of Science and Technology on Vessel Integrated Power System,Naval University of Engineering, Wuhan 430000, China,National Key Laboratory of Science and Technology on Vessel Integrated Power System,Naval University of Engineering, Wuhan 430000, China,National Key Laboratory of Science and Technology on Vessel Integrated Power System,Naval University of Engineering, Wuhan 430000, China,National Key Laboratory of Science and Technology on Vessel Integrated Power System,Naval University of Engineering, Wuhan 430000, China and National Key Laboratory of Science and Technology on Vessel Integrated Power System,Naval University of Engineering, Wuhan 430000, China;Shanghai Electrical Apparatus Research Institute Group Co., Ltd., Shanghai 200063, China] |
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| Abstract: | Island independent microgrid was a complex cyberphysical system, and its energy management was a nonlinear, multiconstraint and multitimescale dynamic problem. For such a problem, the multitimescale optimal scheduling model based on improved adaptive particle swarm optimization algorithm was studied. A multiobjective scheduling model and an intraday rolling optimization correction model were proposed. The daily scheduling model was based on the improved adaptive particle swarm algorithm for multiobjective optimization so as to ensure the microgrid economy and stability. And the rolling optimization model rectified the deviation of the former to guarantee the effectiveness of the daily prediction. Simulation results showed that the proposed strategy could effectively enhance the economy and reliability of island independent microgrid systems. |
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| Keywords: | island independent microgrid energy management multitimescale particle swarm optimization rolling optimization |
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