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作 者:白杨[1] 汪洋[2] 夏清[1] 孙欣[3] 杨明辉[4] 张健[4]
机构地区:[1]电力系统及发电设备控制和仿真国家重点实验室(清华大学电机系),北京市海淀区100084 [2]国家电网公司华北电力调控分中心,北京市宣武区100053 [3]江苏大学电气信息工程学院,江苏省镇江市212013 [4]山东电力集团公司调度控制中心,山东省济南市250001
出 处:《中国电机工程学报》2013年第13期2-9,共8页Proceedings of the CSEE
基 金:国家自然科学基金项目(51007032);山东电网科技项目(含大规模风电接入的电网发电调度模式与关键性技术研究与应用)~~
摘 要:风电出力的不确定性给传统的安全约束经济调度(security constrained economic dispatch,SCED)方法带来了很大的挑战。为了协调调度水电、火电和风电等多种电源,提出了水–火–风协调优化的全景SCED方法。该方法用区间数表示风电的波动范围,统一优化备用需求与机组出力;考虑机组跟踪负荷能力以及调度的公平性,经济、公平地预留各机组备用,以应对风电波动。针对含区间数模型的复杂性,提出关键场景的识别方法,形成以关键场景为约束、不损失优化精度的模型,显著减小了模型规模,使其能够高效地得到求解。基于电网实际数据的算例验证了所提出的方法在解决风电波动问题方面的高效性与科学性。The volatility and intermittence of wind power brings a great challenge to the traditional security constrained economic dispatch (SCED). To dispatch the hydro power, thermal power and wind power coordinately, a full-scenario SCED method with coordinative optimization of hydro-thermal-wind power was proposed. By using interval numbers to cover the range Of wind power fluctuation, the method unified the optimization of power output of traditional generation units and their spinning reserve for wind power fluctuation. Meanwhile, different ramp capability of hydro and thermal units was considered so that spinning reserve was allocated fairly and economically. Since the original model with interval numbers is complicated to solve, an identification method for critical scenarios was proposed. By the identification of critical scenarios, the original model was simplified based on critical scenario constraints without loss of accuracy so that the coordinative optimization was accelerated. Based on the practical data of a provincial power grid, the numerical exper/ment results show that the proposed method is effective and practical.
分 类 号:TM73[电气工程—电力系统及自动化]
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