| 计及多评价指标的园区能源互联网双层优化配置 |
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| 引用本文： | 林晓明,张勇军,陈伯达,范苏纯,陈泽兴. 计及多评价指标的园区能源互联网双层优化配置[J]. 电力系统自动化, 2019, 43(20): 8-15 |
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| 作者姓名： | 林晓明 张勇军 陈伯达 范苏纯 陈泽兴 |
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| 作者单位： | 广东省绿色能源技术重点实验室,华南理工大学电力学院,广东省广州市510640;广东省绿色能源技术重点实验室,华南理工大学电力学院,广东省广州市510640;广东省绿色能源技术重点实验室,华南理工大学电力学院,广东省广州市510640;广东省绿色能源技术重点实验室,华南理工大学电力学院,广东省广州市510640;广东省绿色能源技术重点实验室,华南理工大学电力学院,广东省广州市510640 |
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| 基金项目： | 国家自然科学基金资助项目(51777077)；广东省自然科学基金资助项目(2017A030313304) |
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| 摘 要： | 在坚持走能源可持续发展道路的背景下，园区能源互联网成为能源领域重要的发展趋势。搭建了园区能源互联网的典型架构，并对能源设备进行建模；提出了综合能源自给率、综合能源利用率和能量缺额期望的评价指标；进一步，计及上述评价指标，构建了园区能源互联网双层优化配置模型。所述模型考虑了能源设备N-1故障的能量缺额惩罚成本，以及综合能源自给率、综合能源利用率、能量缺额期望的约束，并以结合灾变遗传算法和CPLEX求解器的混合算法进行求解。最后通过典型住宅区进行验证，结果表明所述方法能够兼顾系统的经济性、能源可持续性、高效性和可靠性。
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| 关 键 词： | 能源互联网 评价指标 能源设备 双层优化 |
| 收稿时间： | 2018-08-11 |
| 修稿时间： | 2019-06-26 |
Bi-level Optimal Configuration of Park Energy Internet Considering Multiple Evaluation Indicators |
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| LIN Xiaoming,ZHANG Yongjun,CHEN Bod,FAN Suchun and CHEN Zexing. Bi-level Optimal Configuration of Park Energy Internet Considering Multiple Evaluation Indicators[J]. Automation of Electric Power Systems, 2019, 43(20): 8-15 |
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| Authors: | LIN Xiaoming ZHANG Yongjun CHEN Bod FAN Suchun CHEN Zexing |
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| Affiliation: | Guangdong Key Laboratory of Green Energy Technology, School of Electric Power, South China University of Technology, Guangzhou 510640, China,Guangdong Key Laboratory of Green Energy Technology, School of Electric Power, South China University of Technology, Guangzhou 510640, China,Guangdong Key Laboratory of Green Energy Technology, School of Electric Power, South China University of Technology, Guangzhou 510640, China,Guangdong Key Laboratory of Green Energy Technology, School of Electric Power, South China University of Technology, Guangzhou 510640, China and Guangdong Key Laboratory of Green Energy Technology, School of Electric Power, South China University of Technology, Guangzhou 510640, China |
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| Abstract: | Under the background of adhering to the path of sustainable energy development, park Energy Internet has become an important development trend in the energy field. A typical structure of park Energy Internet is built, and the models of energy equipment are established. The evaluation indicators are put forward, including comprehensive energy self-sufficiency rate, comprehensive energy utilization rate and energy shortage expectation. Furthermore, a bi-level optimal configuration model is proposed taking into account the above multiple evaluation indicators. The proposed model considers the energy shortage penalty cost for N-1 failure of energy equipment, as well as the constraints of comprehensive energy self-sufficiency, comprehensive energy utilization rate and energy shortage expectation, and a hybrid algorithm combined with cataclysmic genetic algorithm and CPLEX solver is developed to solve the model. Finally, the study of a typical residential area is carried out where the results suggest that the planning method can balance the economics, energy sustainability, efficiency and reliability of the system. |
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| Keywords: | Energy Internet evaluation indicators energy equipment bi-level optimization |
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