引用本文: | 马国真,林毓军,张泽亚,等.计及源荷多重不确定性的综合能源系统鲁棒经济调度方法[J].电力系统保护与控制,2021,49(20):43-52.[点击复制] |
MA Guozhen,LIN Yujun,ZHANG Zeya,et al.A robust economic dispatch method for an integrated energy system considering multiple uncertainties of source and load[J].Power System Protection and Control,2021,49(20):43-52[点击复制] |
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摘要: |
可再生能源出力、购能价格和综合需求响应量等多重不确定性因素给综合能源系统(Integrated Energy System, IES)安全经济运行带来了严峻的挑战。对不确定性因素的精细化建模,可以提高综合能源系统调度策略的有效性和优越性。首先在分析多重不确定性特性的基础上,分别采用随机场景法和鲁棒优化法对购能价格、风光出力和综合需求响应等多重不确定性进行建模。此外,由于先进绝热压缩空气储能(Advanced Adiabatic Compressed Air Energy Storage, AA-CAES)具有冷-热-电联储联供的优点,可以增强系统运行灵活性,因此,选择AA-CAES作为IES的储能系统。然后,构建含AA-CAES的IES鲁棒-随机优化模型,并采用蝙蝠算法对模型进行求解。最后,基于某地区的数据开展仿真分析。结果表明,所提方法能够减少系统运行成本,实现经济性与鲁棒性的协调优化。 |
关键词: 综合能源系统 综合需求响应 多重不确定性 鲁棒-随机优化 |
DOI:DOI: 10.19783/j.cnki.pspc.201614 |
投稿时间:2020-12-24修订日期:2021-03-30 |
基金项目:国家自然科学基金项目资助(51777088);国网河北省电力有限公司科技项目资助“考虑多能耦合的多场景综合能源系统经济性、可靠性评估与提升关键技术研究”(SGHEJY00NYJS2000061) |
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A robust economic dispatch method for an integrated energy system considering multiple uncertainties of source and load |
MA Guozhen,LIN Yujun,ZHANG Zeya,YIN Binxin,PANG Ning,MIAO Shihong |
(1. Economic Research Institute of State Grid Hebei Electric Power Company, Shijiazhuang 050000, China; 2. State Key Laboratory
of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory,
School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China) |
Abstract: |
Multiple uncertain factors such as renewable energy output, purchase price and integrated demand response pose serious challenges to the safe and economic operation of integrated energy systems. Precision modeling of uncertain factors can effectively improve the effectiveness and superiority of the integrated energy system scheduling strategy. Based on the analysis of the characteristics of multiple uncertainties, this paper first uses a random scenario and robust optimization methods to model multiple uncertainties such as energy purchase price, wind and solar output, and integrated demand response. In addition, because Advanced Adiabatic Compressed Air Energy Storage (AA-CAES) has the advantages of cold-heat-electricity combined storage, it can enhance the flexibility of system operation. Therefore, this paper chooses AA-CAES as the IES Energy storage system. Then we construct an IES robust-stochastic optimization model with AA-CAES, and use the bat algorithm to analyse the model. Finally, a simulation analysis is carried out based on the data of a certain area. The results show that the proposed method can reduce the operating cost of the system and realize the coordination and optimization of economy and robustness.
This work is supported by the National Natural Science Foundation of China (No. 51777088) and the Science and Technology Project of State Grid Hebei Electric Power Co., Ltd. (No. SGHEJY00NYJS2000061). |
Key words: integrated energy system integrated demand response multiple uncertainties robust-stochastic optimization |