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考虑多能灵活性的综合能源系统多时间尺度优化调度
引用本文:汤翔鹰,胡炎,耿琪,徐新星.考虑多能灵活性的综合能源系统多时间尺度优化调度[J].电力系统自动化,2021,45(4):81-90.
作者姓名:汤翔鹰  胡炎  耿琪  徐新星
作者单位:电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市 200240;电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市 200240;电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市 200240;电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市 200240
基金项目:国家重点研发计划资助项目(2017YFB0903202);中国南方电网有限责任公司重点科技项目(YNKJXM20170008)。
摘    要:含电热气多种能源的综合能源系统中,复杂的能量转换关系以及可再生能源和负荷的波动性,给综合能源系统的灵活安全运行带来了挑战。为了减小新能源和负荷不确定性对系统的影响,同时提升系统的功率平抑能力,提出了考虑多能灵活性的综合能源系统多时间尺度优化调度策略。首先,在日前调度中建立多能灵活性状态方程,以日运行成本最小为目标,构建波动场景下考虑系统多能灵活性的调度模型;日内调度则以日前调度计划为基础,考虑电能和热气能在不同时间尺度上的响应能力,建立分时间尺度的滚动优化模型,对日前计划进行修正,平抑功率波动。算例结果表明:所提出的日前模型可以通过协调设备的出力来提升系统的运行灵活性,日内模型能够平抑电热气能在不同时间尺度上的功率波动。

关 键 词:综合能源系统  灵活性  多时间尺度  功率平抑  优化调度
收稿时间:2020/6/2 0:00:00
修稿时间:2020/10/26 0:00:00

Multi-time-scale Optimal Scheduling of Integrated Energy System Considering Multi-energy Flexibility
TANG Xiangying,HU Yan,GENG Qi,XU Xinxing.Multi-time-scale Optimal Scheduling of Integrated Energy System Considering Multi-energy Flexibility[J].Automation of Electric Power Systems,2021,45(4):81-90.
Authors:TANG Xiangying  HU Yan  GENG Qi  XU Xinxing
Affiliation:Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education (Shanghai Jiao Tong University), Shanghai 200240, China
Abstract:The complex energy conversion relationship and the volatility of renewable energy and load in an integrated energy system containing electricity, heat and gas have brought challenges to the flexible and safe operation of the integrated energy system. In order to reduce the impact of renewable energy and load uncertainty on the system, and improve the power suppression capacity of the system at the same time, a multi-time-scale optimal scheduling strategy for an integrated energy system that considers multi-energy flexibility is proposed. First, in the day-ahead scheduling, a multi-energy flexibility state equation is established, and a scheduling model that takes the system multi-energy flexibility into account in the fluctuation scenario with the minimum daily operation cost is constructed. The intraday scheduling is based on the day-ahead scheduling results. Considering the responsiveness of electricity, heat, gas energy on different time scales, a multi-time-scale rolling optimal model is established to revise the previous plan to suppress the power fluctuation. The results of the calculation examples show that the proposed day-ahead model can improve the system operation flexibility by coordinating the output of different devices, and the intraday model can suppress the power fluctuation of electricity, heat and gas energy at different time scales.
Keywords:integrated energy system  flexibility  multi-time-scale  power fluctuation  optimal scheduling
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