| 引用本文: | 王 睿,程 瑜,张丽娟,郭海峰.考虑水电来水预测偏差的发电侧峰谷分时电价研究[J].电力自动化设备,2013,33(12): |
| WANG Rui,CHENG Yu,ZHANG Lijuan,GUO Haifeng.Generation-side time-of-use price considering forecast error of water-inflow for hydro power[J].Electric Power Automation Equipment,2013,33(12): |
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| 摘要: |
| 发电侧峰谷分时电价优化设计问题的研究多是基于各类机组年度电量控制目标与实际年发电量大致相等的前提条件。但在含水电的电力系统中，由于水电来水具有不确定性，此前提条件不易满足。当产生偏差电量时，在电网企业购电成本最低目标下形成的水电偏差电量分配方案通常与资源优化配置目标下形成的电量分配方案不完全一致。为解决现有分时电价模型在含水电系统应用面临的现实问题，首先分析了峰谷电价与水电偏差电量分配间的关系，提出各时段间水、火电价差的设置是影响水电偏差电量分配的决定性因素。以降低系统发电总能耗为导向，在已有分时电价优化模型的基础上，引入表征不同时段水、火电价差设置关系的校验条件，建立了适用于含水电系统的发电侧分时电价优化模型，并通过算例验证了模型的有效性。 |
| 关键词: 发电 分时电价 水电 来水 偏差电量 社会效益 优化 模型 |
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| 基金项目:国家科技支撑计划资助项目（2008BAA13B11）；“十二五”能源规划课题研究项目（NYJGH-2009-10） |
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| Generation-side time-of-use price considering forecast error of water-inflow for hydro power |
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WANG Rui1,2, CHENG Yu1, ZHANG Lijuan1, GUO Haifeng2
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1.North China Electric Power University，Beijing 102206，China;2.Electric Power Planning & Engineering Institute，Beijing 100120，China
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| Abstract: |
| The optimization models of TOU（Time-Of-Use） price at generation side are mostly based on the precondition that the annual power generation of each unit is roughly equal to its annual contract，which is hardly satisfied in hydro-thermal power system due to the uncertainty of water-inflow. The relationship between the TOU price and the distribution of hydro power deviation is analyzed and it is concluded that the price difference between hydro power and thermal power is the key factor affecting the distribution of power deviation，according to which and based on the existing TOU optimization models，an improved optimization model suitable for hydro-thermal power system is built to match the maximized social benefits with the maximized social benefits when the actual and predicted water-inflows are different，which takes the minimum energy consumption as its objective and establishes the check conditions to represent the price difference between hydro power and thermal power for different periods. A calculation example is given to verify its validity. |
| Key words: electric power generation time-of-use price hydroelectric power water-inflow deviation power social benefit optimization models |
