| 引用本文: | 戴璐平,吴薇,黄蓓雯.考虑不确定性的分布式家庭并网光伏系统鲁棒优化能量调度[J].电力系统保护与控制,2019,47(3):48-55.[点击复制] |
| DAI Luping,WU Wei,HUANG Beiwen.Optimal energy scheduling for family grid-connected photovoltaic systems considering uncertainty[J].Power System Protection and Control,2019,47(3):48-55[点击复制] |
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| 摘要: |
| 分布式家庭并网光伏系统是太阳能产业规划的重要组成部分，其能量优化调度模型是一项重要研究课题。针对系统中光伏出力的不确定性，对其采取区间形式表示。以系统运行成本最小为目标，计及系统功率平衡约束等多项必要约束条件，建立分布式家庭并网光伏系统的能量优化基本模型。通过鲁棒优化框架将能量优化调度基本模型中含不确定变量的约束条件转化为确定性约束，从而建立分布式家庭并网光伏系统鲁棒优化能量调度模型。采用改进萤火虫算法对所建立的模型进行求解。仿真算例表明，所建立模型得到的系统运行方案能够在实际运行中具备良好的鲁棒性，降低系统经济风险。 |
| 关键词: 分布式家庭并网光伏系统 不确定性 鲁棒优化 能量调度 萤火虫算法 |
| DOI：10.7667/PSPC180179 |
| 投稿时间：2018-02-13修订日期：2018-10-10 |
| 基金项目:国家自然科学基金重点项目资助(51337005) |
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| Optimal energy scheduling for family grid-connected photovoltaic systems considering uncertainty |
| DAI Luping,WU Wei,HUANG Beiwen |
| (State Grid Shanghai Municipal Electric Power Company Customer Service Center, Shanghai 200122, China) |
| Abstract: |
| The family grid-connected photovoltaic system is an important part of the solar energy industry planning and its energy optimization scheduling model is an important research topic. In the light of the uncertainty of photovoltaic output in the system, it is expressed in the form of interval. Taking the minimum cost of system operation as the objective function, while taking into account the necessary constraints of system such as power balance constraints and others, a basic energy optimization model of family grid-connected photovoltaic systems is established. A robust optimization framework is applied to transform the constraint condition containing uncertain variables in the basic energy optimization scheduling model into deterministic constraints, so as to establish a robust optimal energy scheduling model for family grid-connected photovoltaic systems. The improved firefly algorithm is used to solve the model. The simulation example shows that the system operation scheme obtained by proposed model has good robustness in the actual operation and is able to reduce the economic risk of the system. This work is supported by Key Program of National Natural Science Foundation of China (No. 51337005). |
| Key words: family grid-connected photovoltaic systems uncertainty robust optimization energy scheduling firefly algorithm |
