| 考虑需求侧灵活性资源的商业园区微网多目标优化调度 |
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| 引用本文： | 王俊翔,李华强,邓靖微,谢康胜,安杨. 考虑需求侧灵活性资源的商业园区微网多目标优化调度[J]. 电力建设, 2021, 42(3): 35-44. DOI: 10.12204/j.issn.1000-7229.2021.03.005 |
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| 作者姓名： | 王俊翔 李华强 邓靖微 谢康胜 安杨 |
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| 作者单位： | 智能电网四川省重点实验室(四川大学),成都市610065;国网四川省电力公司检修公司,成都市610042 |
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| 基金项目： | 国家电网有限公司科技项目 |
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| 摘 要： | 大规模可再生能源、电动汽车(electric vehicle,EV)和变频空调(inverter air conditioner,IAC)接入商业园区微网(business park microgrid,BPMG)产生的波动性和不确定性为系统灵活运行带来新的挑战.文章提出了一种考虑需求侧灵活性资源的BPMG优化调度方法...
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| 关 键 词： | 商业园区微网 需求侧灵活性资源 灵活性不足严重度 优化调度 |
| 收稿时间： | 2020-06-24 |
Multi-objective Optimal Scheduling of Business Park Microgrid Considering Demand-Side Flexible Resources |
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| WANG Junxiang,LI Huaqiang,DENG Jingwei,XIE Kangsheng,AN Yang. Multi-objective Optimal Scheduling of Business Park Microgrid Considering Demand-Side Flexible Resources[J]. Electric Power Construction, 2021, 42(3): 35-44. DOI: 10.12204/j.issn.1000-7229.2021.03.005 |
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| Authors: | WANG Junxiang LI Huaqiang DENG Jingwei XIE Kangsheng AN Yang |
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| Affiliation: | 1. Intelligent Electric Power Grid Key Laboratory of Sichuan Province(Sichuan University) , Chengdu 610065, China2. Maintenance Company of State Grid Sichuan Electric Power Company, Chengdu 610042, China |
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| Abstract: | Integration of renewable energy, electric vehicles (EV), and inverter air conditioners (IAC) in the business park microgrid (BPMG) result in fluctuation and uncertainty, which lead to new challenges in operational flexibility of the BPMG. Therefore, a BPMG optimal scheduling method considering demand-side flexible resources is presented. Moreover, the flexible supply provided by BPMG demand-side flexible resource is quantified according to the demand response models of EV and IAC. And then, combined with the flexible resource and flexible demand at the source side, flexibility shortage severity is proposed for quantifying the imbalance severity between the flexible supply and flexible demand. On this basis, a BPMG multi-objective optimal scheduling model considering economy and flexibility is constructed, which can be solved by CPLEX optimization software. Experimental results show that the proposed model can significantly improve the operational flexibility of BPMG by coordinating various flexible resources on both supply and demand sides. |
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| Keywords: | business park microgrid demand-side flexible resource flexibility shortage severity optimal scheduling |
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