引用本文: | 陈志杰,李凤婷,黄蓉.计及需求响应的含风电电力系统旋转备用优化配置策略[J].电力系统保护与控制,2020,48(13):117-122.[点击复制] |
CHEN Zhijie,LI Fengting,HUANG Rong.Spinning reserve optimal configuration strategy of a wind power system with demand response[J].Power System Protection and Control,2020,48(13):117-122[点击复制] |
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摘要: |
风电大规模并网影响了电力系统的稳定运行,且存在消纳困难。为保证含风电电力系统的可靠性,提出了一种计及需求响应的旋转备用优化配置策略。该策略在分析风电出力及负荷预测误差的前提下,考虑可控负荷需求响应能力,以系统发电总成本最小为目标建立电源优化组合模型。采用GUROBI求解器对模型优化求解。经仿真验证,该策略在保证电网稳定运行的前提下,可提高电力系统运行的经济性,增强常规机组提供旋转备用的能力,促进风电消纳,具有较高的工程应用性。 |
关键词: 需求响应 可控负荷 分时电价 旋转备用 |
DOI:10.19783/j.cnki.pspc.190798 |
投稿时间:2019-09-10修订日期:2020-01-09 |
基金项目:新疆维吾尔自治区科技支疆项目资助(2017E0277);国家电网公司科技项目资助(SGGSKY00FJWT1900165) |
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Spinning reserve optimal configuration strategy of a wind power system with demand response |
CHEN Zhijie,LI Fengting,HUANG Rong |
(College of Electrical Engineering, Xinjiang University, Urumqi 830047, China;State Grid Gansu Electric Power Corporation Electric Power Research Institute, Lanzhou 730070, China) |
Abstract: |
The large-scale grid connection of wind power has affected the stable operation of the power system, and there are difficulties in consumption. In order to ensure the reliability of the wind power system, this paper proposes a rotating standby optimization configuration strategy that takes into account the demand response. Based on the analysis of wind power output and load forecasting error, this strategy considers the controllable load demand response capability and establishes a power supply optimization combination model with the minimum total system power generation cost as the goal. The model optimization is solved using the GUROBI solver. The simulation proves that the strategy can improve the economical operation of the power system under the premise of ensuring the stable operation of the power grid, enhance the ability of the conventional unit to provide rotary standby, and promote wind power consumption. It has high engineering applicability. This work is supported by Science and Technology Supporting Xinjiang Project of the Xinjiang Uygur Autonomous Region (No. 2017E0277) and Science and Technology Project of State Grid Corporation of China (No. SGGSKY00FJWT 1900165). |
Key words: demand response controllable load time-of-use price spinning reserve |