| 引用本文: | 李本新,韩学山,刘国静,王孟夏,李文博,蒋哲.风电与储能系统互补下的火电机组组合[J].电力自动化设备,2017,37(7): |
| LI Benxin,HAN Xueshan,LIU Guojing,WANG Mengxia,LI Wenbo,JIANG Zhe.Thermal unit commitment with complementary wind power and energy storage system[J].Electric Power Automation Equipment,2017,37(7): |
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| 摘要: |
| 针对具有风电和火电机组的电力系统，在储能系统配置给定的前提下，提出通过储能尽量消除风电不确定性并部分以备用形态出现的研究思路，建立了火电机组组合2层优化决策模型。上层问题以火电机组组合成本最小为目标，下层问题以储能系统对电网中电能时空平移和提供备用所得收益最大为目标，以储能系统消除不确定性程度为满足对象，其中计及了自动发电控制(AGC)机组和非AGC机组的特性，以及系统频率调节效应的作用。基于分解协调的原理，通过上、下层问题的交替迭代对该模型予以求解，决策储能系统充/放电功率、调控范围及机组启停方案。该方法可在减少火电机组备用容量的同时，提升系统应对不确定性的能力，通过10机组系统验证了模型和方法的有效性。 |
| 关键词: 机组组合 储能系统 风电 不确定性 火电机组 |
| DOI：10.16081/j.issn.1006-6047.2017.07.006 |
| 分类号:TM595 |
| 基金项目:国家自然科学基金资助项目(51477091,51177091)；国家重点基础研究发展计划(973计划)资助项目(2013CB22-8205)；国家电网公司科技项目(SGSDDK00KJJS1600061) |
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| Thermal unit commitment with complementary wind power and energy storage system |
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LI Benxin1, HAN Xueshan1, LIU Guojing2, WANG Mengxia1, LI Wenbo3, JIANG Zhe3
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1.Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Ji’nan 250061, China;2.State Grid Jiangsu Electric Power Company Economic Research Institute, Nanjing 210008, China;3.State Grid Shandong Electric Power Research Institute, Ji’nan 250003, China
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| Abstract: |
| A two-level optimization model of thermal unit commitment is built for the hybrid wind-thermal power system with given capacity of ESS(Energy Storage System),which uses ESS to eliminate the uncertainty of wind power as much as possible and to provide partial power generation reserve. Its upper layer is to minimize the cost of thermal unit commitment and its lower layer is to maximize the benefits from the spatio-temporal translation of electric energy and the reserve provided by ESS as well as the uncertainty elimination degree. The effect of system frequency regulation and the performances of AGC(Automatic Generation Control) and non-AGC units are considered in the model. Based on the principle of decomposition and coordination, the model is solved by the alternating iterations between upper and lower layers to obtain the charge/discharge schedule and regulation range of ESS as well as the thermal unit commitment scheme, showing that the power generation reserve of thermal units is reduced and the ability to cope with system uncertainty improved. The validity of the proposed model and method is verified with a 10-unit system. |
| Key words: unit commitment energy storage system wind power uncertainty thermal unit |
