基于确定性解法的新能源微电网经济运行优化

doi:10.11930/j.issn.1004-9649.202004219

中国电力 ›› 2020, Vol. 53 ›› Issue (10): 149-155.DOI: 10.11930/j.issn.1004-9649.202004219

基于确定性解法的新能源微电网经济运行优化

孙瑛爽¹, 罗聪², 葛乐矣²

1. 国家电网有限公司直流建设分公司，北京 100052;
2. 国网电子商务有限公司，北京 100032

收稿日期:2020-04-28 修回日期:2020-05-19 发布日期:2020-10-05
作者简介:孙瑛爽（1983—），女，硕士，高级会计师，从事电网工程技术经济分析，Email：22842234@qq.com;罗聪(1991—)，男，硕士，工程师，从事分布式发电与微电网运行优化研究，E-mail：984153589@qq.com;葛乐矣（1980—），男，博士，通信作者，高级工程师，从事微电网技术研究，E-mail：2054144763@qq.com
基金资助:
中华人民共和国工业与信息化部2019年工业互联网创新发展工程项目(基于泛在电力物联网的工业互联网平台测试床建设)

Economic Operation Optimization for New Energy Microgrid Based on Deterministic Method

SUN Yingshuang¹, LUO Cong², GE Leyi²

1. DC Construction Branch of State Grid Corporation of China, Beijing 100052, China;
2. State Grid E-commerce Co., Ltd., Beijing 100032, China

Received:2020-04-28 Revised:2020-05-19 Published:2020-10-05
Supported by:
This work is supported by 2019 Industrial Internet Innovation and Development Project (Construction of Industrial Internet Platform Test Bed Based on Ubiquitous Power Internet of Things)

摘要/Abstract

摘要： 针对典型的微电网应用场景，研究光伏发电、风力发电测和负荷预测误差的数学规律，在考虑微电网环保性因素、经济性因素的基础上，构建基于确定性解法的微电网经济运行优化模型，该模型简化了多目标问题的求解难度。在具体算例中，分析不同置信度、不同预测误差及不同环保算子对微电网经济运行的影响。研究结果表明：提高光伏出力、风电出力和负荷预测精度可以降低微电网优化运行成本；微电网优化运行模型求解时，确定性解法的算法收敛速度快，迭代时间更短。

关键词: 新能源, 预测误差, 微电网, 蒙特卡罗, 确定性解法

Abstract: In view of the typical application scenarios of microgrid, the mathematician rules of prediction errors for photovoltaic power, wind power and load are analyzed. With consideration of environmental protection and economic factors, an economic operation optimization model of microgrid based on deterministic method is constructed, which simplifies the difficulty for multi-objective problem solution. In a specific example, the influences of different confidence levels, different prediction errors and different environmental penalty factors on the microgrid operation are analyzed. The result shows that improving the prediction accuracy of photovoltaic output, wind power output and load can reduce the operation cost of microgrid. Moreover, the deterministic method has advantages of fast convergence speed and short iteration time for solving the optimization model of microgrid.

Key words: new energy, prediction error, microgrid, Monte Carlo, deterministic method

孙瑛爽, 罗聪, 葛乐矣. 基于确定性解法的新能源微电网经济运行优化[J]. 中国电力, 2020, 53(10): 149-155.

SUN Yingshuang, LUO Cong, GE Leyi. Economic Operation Optimization for New Energy Microgrid Based on Deterministic Method[J]. Electric Power, 2020, 53(10): 149-155.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202004219

https://www.electricpower.com.cn/CN/Y2020/V53/I10/149

参考文献

[1] 何浩, 雷霞, 黄涛, 等. 价格引导下多微网系统协调自治优化运行策略[J]. 电力系统保护与控制, 2019, 47(16): 17-26
HE Hao, LEI Xia, HUANG Tao, et al. Coordinated and autonomous optimal operation strategy of multi-microgrid system under the guidance of price[J]. Power System Protection and Control, 2019, 47(16): 17-26
[2] 佟新, 胡存刚, 芮涛. 基于主从博弈的多微电网系统经济优化方法[J]. 中国电力, 2019, 52(6): 68-76
TONG Xin, HU Cungang, RUI Tao. Master-slave game based economic optimization method of multi-microgrid system[J]. Electric Power, 2019, 52(6): 68-76
[3] 吴鸣, 寇凌峰, 张进, 等. 多运营主体微电网日前经济优化调度纳什议价方法[J]. 中国电力, 2019, 52(11): 19-27, 117
WU Ming, KOU Lingfeng, ZHANG Jin, et al. A day-ahead Nash bargaining method for economic dispatch of the multi-operator micro-grid[J]. Electric Power, 2019, 52(11): 19-27, 117
[4] MILO A, GAZTANAGA H, ETXEBERRIA-OTADUI I, et al. Optimization of an experimental hybrid microgrid operation: Reliability and economic issues[C]//2009 IEEE Bucharest PowerTech. Bucharest, Romania: IEEE, 2009: 1-6.
[5] PARISIO A, GLIELMO L. Multi-objective optimization for environmental/economic microgrid scheduling[C]//2012 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). Bangkok, Thailand: IEEE, 2012: 17-22.
[6] 郑凌蔚. 光伏微电网控制与优化的若干问题研究[D]. 上海: 华东理工大学, 2014.
ZHENG Lingwei. Study on some issues in PV microgrid control and optimization[D]. Shanghai: East China University of Science and Technology, 2014.
[7] 李刚, 李峰, 孔亮, 等. 不同电价下含储能系统的微电网经济调度[J]. 中国电力, 2018, 51(2): 125-132
LI Gang, LI Feng, KONG Liang, et al. Economic dispatch of microgrid with energy storage under different price policies[J]. Electric Power, 2018, 51(2): 125-132
[8] 姚清诚, 袁晓玲, 黄保乐. 基于蒙特卡罗源荷不确定性处理的独立微网优化配置[J]. 储能科学与技术, 2020, 9(1): 186-194
YAO Qingcheng, YUAN Xiaoling, HUANG Baole. Optimal configuration of independent microgrid based on Monte Carlo processing of source and load uncertainty[J]. Energy Storage Science and Technology, 2020, 9(1): 186-194
[9] 李易隆. 微电网负荷预测及能量优化调度研究[D]. 天津: 天津理工大学, 2019.
LI Yilong. The research on load forecasting and energy optimization scheduling of micro-grid system[D]. Tianjin: Tianjin University of Technology, 2019.
[10] 张晓波, 张保会, 吴雄. 风光预测后微电网的优化运行[J]. 电力自动化设备, 2016, 36(3): 21-25, 40
ZHANG Xiaobo, ZHANG Baohui, WU Xiong. Optimal microgrid operation based on wind/PV power prediction[J]. Electric Power Automation Equipment, 2016, 36(3): 21-25, 40
[11] 奉斌, 丁毛毛, 卓伟光, 等. 微电网风/光发电功率预测软件的设计与开发[J]. 中国电力, 2014, 47(5): 123-128
FENG Bin, DING Maomao, ZHUO Weiguang, et al. Design and development of power prediction software of wind/photovoltaic in a micro-grid[J]. Electric Power, 2014, 47(5): 123-128
[12] 魏明奎, 周全, 周泓, 等. 基于两阶段鲁棒优化的西南地区微电网经济调度[J]. 中国电力, 2019, 52(11): 2-8, 18
WEI Mingkui, ZHOU Quan, ZHOU Hong, et al. Economic dispatch of microgrid in southwest China based on two-stage robust optimization[J]. Electric Power, 2019, 52(11): 2-8, 18
[13] 崔杨, 陈正洪, 许沛华. 基于机器学习的集群式风光一体短期功率预测技术[J]. 中国电力, 2020, 53(3): 1-7
CUI Yang, CHEN Zhenghong, XU Peihua. Short-term power prediction for wind farm and solar plant clusters based on machine learning method[J]. Electric Power, 2020, 53(3): 1-7
[14] 赖昌伟, 黎静华, 陈博, 等. 光伏发电出力预测技术研究综述[J]. 电工技术学报, 2019, 34(6): 1201-1217
LAI Changwei, LI Jinghua, CHEN Bo, et al. Review of photovoltaic power output prediction technology[J]. Transactions of China Electrotechnical Society, 2019, 34(6): 1201-1217
[15] 张世翔, 田琴丹. 上网电价及DG补贴对微电网调度结果的灵敏度分析[J]. 中国电力, 2016, 49(4): 174-180
ZHANG Shixiang, TIAN Qindan. Sensitivity analysis of micro-grid scheduling to on-grid price and DG subsidies[J]. Electric Power, 2016, 49(4): 174-180

基于确定性解法的新能源微电网经济运行优化

Economic Operation Optimization for New Energy Microgrid Based on Deterministic Method

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	张磊, 马晓伟, 王满亮, 陈力, 高丙团. 互联新能源电力系统区内AGC机组分布式协同控制策略[J]. 中国电力, 2025, 58(3): 8-19.
[2]	汪林光, 李旭涛, 任勇, 谢小荣. 基于元启发式算法的新能源电力系统振荡稳定性最差工况搜索方法[J]. 中国电力, 2025, 58(3): 65-72.
[3]	闫志彬, 李立, 阳鹏, 宋蕙慧, 车彬, 靳盘龙. 考虑构网型储能支撑能力的微电网优化调度策略[J]. 中国电力, 2025, 58(2): 103-110.
[4]	邹小燕, 张瑞宏. 考虑政府干预的可再生能源与储能企业合作模式演化博弈研究[J]. 中国电力, 2025, 58(1): 153-163.
[5]	王雨晴, 张敏, 王嘉兴, 李泊皓, 杨天阳, 曾鸣. 基于超模博弈的共享储能容量租赁价格决策[J]. 中国电力, 2025, 58(1): 164-173.
[6]	陶磊, 罗萍萍, 林济铿. 基于深度学习的直流微电网虚假数据注入攻击二阶段检测方法[J]. 中国电力, 2024, 57(9): 11-19.
[7]	孙东磊, 王宪, 孙毅, 孟祥飞, 张涌琛, 张玉敏. 基于多面体不确定集合的电力系统灵活性量化评估方法[J]. 中国电力, 2024, 57(9): 146-155.
[8]	祝士焱, 许寅, 和敬涵, 王颖. 基于多微电网投影的配电系统协调恢复方法[J]. 中国电力, 2024, 57(9): 224-230.
[9]	么钟然, 孙丽颖. 考虑线路阻抗的分布式储能SOC均衡控制策略[J]. 中国电力, 2024, 57(9): 238-246.
[10]	孙东磊, 孙毅, 刘蕊, 孙鹏凯, 张玉敏. 计及多层级配电网的分布式新能源最大消纳空间分解测算[J]. 中国电力, 2024, 57(8): 108-116.
[11]	李鲁阳, 陈龙翔, 陈磊, 孙大卫, 吴林林, 闵勇. 用于新能源一次调频的储能经济配置研究[J]. 中国电力, 2024, 57(7): 54-65.
[12]	李佳蔚, 张冠宇. 大规模分布式新能源接入对省级电网稳定性影响[J]. 中国电力, 2024, 57(6): 174-180.
[13]	高政南, 姜楠, 陈启鑫, 徐江, 王海利, 辛力, 徐青贵. 德国电力市场能源转型建设及启示[J]. 中国电力, 2024, 57(6): 204-214.
[14]	李咸善, 丁胜彪, 李飞, 李欣. 考虑水电调节费用补偿的风光水联盟优化调度策略[J]. 中国电力, 2024, 57(5): 26-38.
[15]	陈中飞, 赵越, 蔡秋娜, 张乔榆, 王泽林, 戴晓娟, 陈雨果. 基于净负荷预测误差统计的电力系统爬坡能力充裕度评估[J]. 中国电力, 2024, 57(5): 50-60.

模态框（Modal）标题

基于确定性解法的新能源微电网经济运行优化

Economic Operation Optimization for New Energy Microgrid Based on Deterministic Method

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics