适应多场景的微电网一体化柔性规划方法

doi:10.16183/j.cnki.jsjtu.2021.402

摘要/Abstract

摘要：

为了提高微电网建设运维的经济性,满足多种不同类型微电网对可靠性的个性化需求,提出一种适应多场景的微电网一体化柔性规划方法.以类型与组成判断结果为依据,建立包含容量规划与网架规划的双层模型.下层容量规划以微源建设运行成本最小为目标,采用混合整数优化算法求解;上层网架规划以网络建设运行成本最小为目标,采用粒子群算法求解,形成了组成判断-容量规划-网架规划的闭环一体化规划系统.系统可通过灵活调整独立运行持续时间约束以及对负荷停电重视程度参数,满足不同微电网对可靠性的个性化需求.算例表明:所提方法可有效降低微电网的建设运维成本,对多种类型与组成、多种可靠性需求的场景均具有良好的适应性.

关键词: 微电网, 一体化, 双层模型, 多场景, 柔性规划

Abstract:

In order to improve the economy of microgrid construction and operation, and meet the personalized demand for reliability of various types of microgrids, an integrated flexible planning method for microgrid is proposed to adapt to multiple scenarios. Based on the judgment results of type and composition, a two-layer model including capacity planning and grid planning is established. The lower-level capacity planning takes the minimum operation cost of micro-source construction as the goal and adopts the mixed integer optimization algorithm to solve it. The upper layer grid planning takes the minimum cost of network construction and operation as the goal, and uses the particle swarm optimization algorithm to solve it. A closed-loop integrated planning system consisting of judgment, capacity planning, and grid planning is formed. The system can meet the personalized reliability requirements of different microgrids by flexibly adjusting the independent operation duration constraints and the load outage attention parameters. The example shows that the proposed method can effectively reduce the construction and operation cost of microgrid, and has a good adaptability to different types and components and different reliability requirements.

Key words: microgrid, integration, two-layer model, multiple scenarios, flexible planning

中图分类号:

TM614
TM 615

潘险险, 陈霆威, 许志恒, 王天伦, 张俊潇. 适应多场景的微电网一体化柔性规划方法[J]. 上海交通大学学报, 2022, 56(12): 1598-1607.

PAN Xianxian, CHEN Tingwei, XU Zhiheng, WANG Tianlun, ZHANG Junxiao. A Multi-Scenario Integrated Flexible Planning Method for Microgrid[J]. Journal of Shanghai Jiao Tong University, 2022, 56(12): 1598-1607.

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参考文献 15

[1]	翟桥柱, 周玉洲, 李轩, 等. 非预期性与全场景可行性: 应对负荷与可再生能源不确定性的现状、挑战与未来[J]. 中国电机工程学报, 2020, 40(20): 6418-6433.
	ZHAI Qiaozhu, ZHOU Yuzhou, LI Xuan, et al. Nonanticipativity and all-scenario-feasibility: State of the art, challenges, and future in dealing with the uncertain load and renewable energy[J]. Proceedings of the CSEE, 2020, 40(20): 6418-6433.
[2]	周保荣, 黄廷城, 张勇军. 计及激励型需求响应的微电网可靠性分析[J]. 电力系统自动化, 2017, 41(13): 70-78.
	ZHOU Baorong, HUANG Tingcheng, ZHANG Yongjun. Reliability analysis on microgrid considering incentive demand response[J]. Automation of Electric Power Systems, 2017, 41(13): 70-78.
[3]	LIU Z H, YI Y Q, YANG J H, et al. Optimal planning and operation of dispatchable active power resources for islanded multi-microgrids under decentralised collaborative dispatch framework[J]. IET Generation, Transmission & Distribution, 2020, 14(3): 408-422. doi: 10.1049/iet-gtd.2019.0796 URL
[4]	SONG W W, CHEN Y F, ZHANG Y J, et al. Bidirectional boost converter for high-power transmission between energy storage battery and DC microgrid[J]. Electronics Letters, 2019, 55(7): 402-404. doi: 10.1049/el.2018.7561 URL
[5]	卓然群. 自治微电网的柔性网架规划方法研究[D]. 北京: 华北电力大学(北京), 2018.
	ZHUO Ranqun. Research on flexible network planning of autonomy micro grid[D]. Beijing: North China Electric Power University, 2018.
[6]	ZHANG G P, WANG W J, MAO L B. An overview of microgrid planning and design method[C]//2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference. Chongqing, China: IEEE,: 326-329.
[7]	ZHAO W X, XU M, NING N, et al. A microgrid capacity optimization method considering carbon emission cost[C]// 2020 IEEE Sustainable Power and Energy Conference. Chengdu, China: IEEE,: 2219-2224.
[8]	谢鹏, 蔡泽祥, 刘平, 等. 考虑多时间尺度不确定性耦合影响的风光储微电网系统储能容量协同优化[J]. 中国电机工程学报, 2019, 39(24): 7126-7136.
	XIE Peng, CAI Zexiang, LIU Ping, et al. Cooperative optimization of energy storage capacity for renewable and storage involved microgrids considering multi time scale uncertainty coupling influence[J]. Proceedings of the CSEE, 2019, 39(24): 7126-7136.
[9]	马国龙, 蔡泽祥, 刘平. 考虑电价激励需求响应下多主体微电网电源容量优化[J]. 电力自动化设备, 2019, 39(5): 96-102.
	MA Guolong, CAI Zexiang, LIU Ping. Power capacity optimization of microgrid with multiple subjects considering price incentive demand response[J]. Electric Power Automation Equipment, 2019, 39(5): 96-102.
[10]	李宏仲, 吕梦琳, 胡列翔, 等. 考虑广义储能的微电网联合规划[J]. 电力自动化设备, 2020, 40(7): 149-160.
	LI Hongzhong, LÜ Menglin, HU Liexiang, et al. Joint planning of microgrid considering generalized energy storage[J]. Electric Power Automation Equipment, 2020, 40(7): 149-160.
[11]	WANG T J, YANG X H. Optimal network planning of AC/DC hybrid microgrid based on clustering and multi-agent reinforcement learning[J]. Journal of Renewable and Sustainable Energy, 2021, 13(2): 025501. doi: 10.1063/5.0034816 URL
[12]	李楠, 邹晓松, 孙志勇, 等. 基于改进Dijkstra算法的配电网网架扩展规划[J]. 电力科学与工程, 2020, 36(4): 38-43. doi: 1672-0792(2020)04-0038-06
	LI Nan, ZOU Xiaosong, SUN Zhiyong, et al. Distribution network grid expansion planning based on improved dijkstra algorithm[J]. Electric Power Science and Engineering, 2020, 36(4): 38-43. doi: 1672-0792(2020)04-0038-06
[13]	CHE L, ZHANG X P, SHAHIDEHPOUR M, et al. Optimal interconnection planning of community microgrids with renewable energy sources[J]. IEEE Transactions on Smart Grid, 2017, 8(3): 1054-1063. doi: 10.1109/TSG.2015.2456834 URL
[14]	刘健, 杨文宇, 余健明, 宋蒙. 一种基于改进最小生成树算法的配电网架优化规划[J]. 中国电机工程学报, 2004, 24(10): 103-108.
	LIU Jian, YANG Wenyu, YU Jianming, et al. An improved minmum-cost spanning tree based optimal planning of distribution networks[J]. Proceedings of the CSEE, 2004, 24(10): 103-108.
[15]	中华人民共和国国家发展和改革委员会, 国家能源局. 推进并网型微电网建设试行办法[EB/OL]. (2020-09-17)[2021-06-21]. https://www.ndrc.gov.cn/xwdt/ztzl/gbmjcbzc/nyj/201802/P020191205541937174929.pdf.
	National Development and Reform Commission, National Energy Administration. Pilot method for promoting grid-connected microgrid construction[EB/OL]. (2020-09-17)[2021-06-21]. https://www.ndrc.gov.cn/xwdt/ztzl/gbmjcbzc/nyj/201802/P020191205541937174929.pdf.

节点编号	e	c^com/ (元·kW^-1·h^-1)	节点编号	e	c^com/ (元·kW^-1·h^-1)
1	二级	8.8	6	二级	8.8
2	一级	13.5	7	三级	3.6
3	一级	13.5	8	三级	3.6
4	三级	3.6	9	三级	3.6
5	一级	13.5	10	二级	8.8

线路编号	长度/km	线路编号	长度/km
(1)	0.93	(11)	1.38
(2)	0.62	(12)	1.81
(3)	0.75	(13)	1.25
(4)	0.60	(14)	1.05
(5)	1.26	(15)	0.95
(6)	1.52	(16)	0.64
(7)	1.17	(17)	1.37
(8)	1.36	(18)	1.42
(9)	1.12	(19)	0.87
(10)	1.75	(20)	0.74

时间段	电价/(元·kW^-1·h^-1)
23:00—7:00	0.4711
7:00—9:00,12:00—14:00 16:00—19:00,21:00—23:00	0.6266
9:00—12:00,14:00—16:00 19:00—21:00	1.0347

类型	接入节点位置	最大接入容量/kW
储能	1	3000
燃气轮机	9	2000
风力机	5	1500
光伏	10	1500

污染物类型	环境价值	罚款标准
SO₂	6	1
NO_x	8	2
CO₂	0.023	0.01