| 引用本文: | 陈艳波,武超,焦洋,孙志祥,戴赛,张璞.考虑需求响应与储能寿命模型的火储协调优化运行策略[J].电力自动化设备,2022,42(2): |
| CHEN Yanbo,WU Chao,JIAO Yang,SUN Zhixiang,DAI Sai,ZHANG Pu.Coordinated optimal operation strategy of thermal power-energy storage considering demand response and life model of energy storage[J].Electric Power Automation Equipment,2022,42(2): |
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| 摘要: |
| 针对大规模新能源并网带来的系统调峰和消纳难题，以及已有优化调度策略对储能寿命成本考虑不足的问题，提出了一种考虑需求响应与储能寿命模型的火储协调优化运行策略。上层通过分时电价引导用电，以净负荷波动性最小为目标得到优化后的负荷曲线，旨在减轻火储的调峰压力、提高新能源消纳量；下层以系统总调度成本最低为目标协调优化风光火储运行，考虑火电深度调峰并在优化调度中嵌入储能寿命模型，求解得到各电源以及储能的最优运行方式。以某区域实际系统为例进行仿真，结果表明所提策略可以有效改善系统的调峰压力，提高新能源消纳能力，同时合理反映了储能的寿命成本，提高了系统运行的经济性。 |
| 关键词: 新能源消纳 需求响应 深度调峰 储能寿命模型 协调优化运行 |
| DOI：10.16081/j.epae.202201012 |
| 分类号:TM761 |
| 基金项目:国家自然科学基金资助项目(52077076)；新能源电力系统国家重点实验室资助项目(LAPS2021-18)；电网安全与节能国家重点实验室(中国电力科学研究院有限公司)开放基金资助项目(DZB51202101258) |
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| Coordinated optimal operation strategy of thermal power-energy storage considering demand response and life model of energy storage |
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CHEN Yanbo1,2,3, WU Chao1, JIAO Yang1, SUN Zhixiang1, DAI Sai4, ZHANG Pu5
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1.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China;2.Qinghai Key Laboratory of Efficient Utilization of Clean Energy, Tus-Institute for Renewable Energy, Qinghai University, Xining 810016, China;3.School of Engineering, Xining University, Xining 810016, China;4.State Key Laboratory of Power Grid Safety and Energy Conservation, China Electric Power Research Institute, Beijing 100192, China;5.Beijing Electric Power Economic and Technological Research Institute Co.,Ltd.,Beijing 100055, China
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| Abstract: |
| Aiming at the peak regulation and consumption problems caused by the large-scale grid-connected new energy, and the insufficient consideration of existing optimal scheduling strategy on the life cost of energy storage, a coordinated optimal operation strategy of thermal power-energy storage considering demand response and life model of energy storage is proposed. The upper layer guides the electricity consumption through time-of-use electricity price, and the optimized load curve is obtained with the goal of minimizing the fluctuation of net load, which aims to reduce the peak regulation pressure of thermal power-energy storage and improve the consumption of new energy. The lower layer coordinates and optimizes the operation of wind power, photovoltaic, thermal power and energy storage with the goal of minimizing the total scheduling cost of the system. Considering the deep peak regulation of thermal power and embedding the life model of energy storage in the optimal scheduling, the optimal operation mode of each power source and energy storage is obtained. Taking an actual system in a certain area as the example, the results show that the proposed strategy can effectively improve the peak regulation pressure of the system, improve the consumption capacity of new energy, reasonably reflect the life cost of energy storage, and improve the operation economy of the system. |
| Key words: new energy consumption demand response deep peak regulation life model of energy storage coordinated optimal operation |
