| 引用本文: | 杨 清,袁 越,王 敏,周晶晶,包江民,张程飞.独立型水光储微电网系统容量优化配置[J].电力自动化设备,2015,35(10): |
| YANG Qing,YUAN Yue,WANG Min,ZHOU Jingjing,BAO Jiangmin,ZHANG Chengfei.Optimal capacity configuration of standalone hydro-photovoltaic-storage microgrid[J].Electric Power Automation Equipment,2015,35(10): |
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| 独立型水光储微电网系统容量优化配置 |
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杨 清1,2, 袁 越1,2, 王 敏1,2, 周晶晶1,2, 包江民1,2, 张程飞1,2
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1.河海大学 能源与电气学院，江苏 南京 211100;2.河海大学 可再生能源发电技术教育部工程研究中心，江苏 南京 210098
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| 摘要: |
| 在地区已有的独立小水电基础上，形成了独立型水光储微电网系统，以满足地区多样性供电需求，并解决因负荷增长产生的小水电供电不足的问题。建立了独立型水光储微电网容量优化配置模型，该模型以初始投资成本及年运行费用成本总和最小为优化目标，以负荷失电率及水电机组启停次数为优化评价指标，综合考虑了系统运行的各种约束条件及能量管理策略，具有一定的适用性。最后，以某地区实际系统为例，利用粒子群优化算法对模型进行求解，验证了所建立模型的有效性。 |
| 关键词: 独立型水光储微电网 容量优化配置 小水电 能量调度策略 负荷失电率 |
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| 基金项目:国家自然科学基金资助项目（51477041） |
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| Optimal capacity configuration of standalone hydro-photovoltaic-storage microgrid |
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YANG Qing1,2, YUAN Yue1,2, WANG Min1,2, ZHOU Jingjing1,2, BAO Jiangmin1,2, ZHANG Chengfei1,2
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1.College of Energy and Electrical Engineering，Hohai University，Nanjing 211100，China;2.Research Center for Renewable Energy Generation Engineering of Ministry of Education，
Hohai University，Nanjing 210098，China
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| Abstract: |
| A standalone hydro-photovoltaic-storage microgrid based on existing small hydropower is formed to meet the increasing local power demand and solve the problem of small hydropower supply insufficiency caused by load growth，for which，a capacity optimization configuration model is established. With a certain applicability，it takes the minimal total cost，including initial investment and annual operational cost，as its objective，the load power loss probability and the hydropower unit startup／shutoff times as its evaluation indexes，and considers comprehensively various system operational constraints and energy management strategies. With an actual regional system as an example，the particle swarm optimization algorithm is applied to solve the proposed model，which verifies its effectiveness. |
| Key words: standalone hydro-photovoltaic-storage microgrid optimal capacity configuration small hydro-power energy scheduling strategy loss of power supply probability |
