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基于能量枢纽的沼-风-光综合能源系统双层协同优化配置OA北大核心CSTPCD

Bi-level Collaborative Configuration Optimization of Biogas-Wind-Solar Integrated Energy System Based on Energy Hub

中文摘要英文摘要

针对沼-风-光乡村综合能源系统协同优化问题,构建了综合能源系统能量枢纽模型,并提出沼-风-光综合能源系统配置-运行协同优化双层规划模型,上层以年化总成本最小和碳排放量最小为目标,采用NSGA-Ⅱ算法获取配置方案Pareto最优解集;下层以运行成本(包括碳排放成本)最小为目标获取最优运行方案,引入启发性规则,排除上层输入配置方案可能存在的设备冗余,加速上层优化配置.通过对福建某乡村沼-风-光综合能源系统进行算例验证,结果证明了所提优化配置和运行方案的多元性和优越性.

In order to solve the collaborative optimization problem of rural biogas-wind-solar integrated energy system,a bi-level planning model of collaborative optimization of biogas-wind-solar integrated energy system was proposed based on energy hub.In the upper level,the Pareto optimal solutions of the configuration scheme were obtained using the NSGA-Ⅱ algorithm with the goal of minimizing the annual total cost and carbon emissions.In the lower level,the optimal operation scheme was obtained with the objective of minimizing the operation cost(including carbon emission cost).The heuristic rule was introduced to eliminate the possible equipment redundancy of the configuration scheme from the upper and speed up the optimal configuration process.Finally,the proposed model was verified through a rural biogas-wind-solar integrated energy system in Fujian.The results have proved the plurality and superiority of the proposed optimal configuration and operation scheme.

李梓萌;王天阔;胡鹏飞;于彦雪;杜翼;蔡期塬

浙江大学电气工程学院,浙江杭州 310027华电电力科学研究院有限公司,浙江杭州 310030国网福建省电力有限公司经济技术研究院,福建福州 350012

沼-风-光综合能源系统经济性环保性能量枢纽Pareto最优解集

biogas-wind-solar integrated energy systemeconomyenvironmental protectionenergy hubPareto optimal solutions

《中国电力》 2024 (004)

面向中压主动配电网的新型混合储能系统及其模型预测控制研究

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国家自然科学基金资助项目(52007167);浙江省教育厅科研项目(Y202250813);国家电网公司科技项目(52130N22000G). This work is supported by National Natural Science Foundation of China(No.52007167),Scientific Research Fund of Zhejiang Provincial Education Department(No.Y202250813),Science&Technology Project of SGCC(No.52130N22000G).

10.11930/j.issn.1004-9649.202303062

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