Research on Optimal Scheduling of Microgrid Based on NBBO Algorithm

doi:10.16182/j.issn1004731x.joss.22-0072

Abstract

Abstract:

In view of the economic and environmental collaborative optimization of a microgrid with a micro gas turbine, power to gas(P2G) system with the ability to abandon wind and light for consumption and capture carbon is introduced, and a microgrid optimal scheduling model with P2G system based on novel biogeography-based optimization(NBBO) algorithm is proposed. The microgrid model with the P2G system is constructed, and the working principle of the main equipment is analyzed. The reserve capacity of a wind turbine is introduced to reduce the influence of the randomness of wind power generation. The objective function of minimizing the operating cost of the microgrid is established, and the proposed NBBO algorithm is used to solve the objective function. The analysis shows that the microgrid with a P2G system can reduce the power generation cost by 9.02% and the emission of carbon oxides by 25.9%, which verifies the feasibility of the proposed microgrid model with P2G system and the applicability and superiority of the improved algorithm.

Key words: microgrid, biogeography-based optimization algorithm, power to gas, low-carbon, strategy research

CLC Number:

TP18

Lisheng Wei, Benben Yang, Ruixia Sun. Research on Optimal Scheduling of Microgrid Based on NBBO Algorithm[J]. Journal of System Simulation, 2023, 35(5): 1075-1085.

Figures/Tables 11

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References 21

1	郭鹏, 刘文颖, 但扬清, 等. 大规模风电接入电网的无功协调降损方法[J]. 系统仿真学报, 2017, 29(1): 190-199.
	Guo Peng, Liu Wenying, Dan Yangqing, et al. Reactive Power Coordinated Control to Reduce Grid Loss with Large-scale Wind Power Integration[J]. Journal of System Simulation, 2017, 29(1): 190-199.
2	孙伟卿, 刘通, 刘波, 等. 微电网中光-储系统不同组网方式经济性分析[J]. 系统仿真学报, 2018, 30(5): 1812-1817, 1825.
	Sun Weiqing, Liu Tong, Liu Bo, et al. Network Mode and Economy Analysis of Photovoltaic-Battery System in Microgrid[J]. Journal of System Simulation, 2018, 30(5): 1812-1817, 1825.
3	Che Liang, Zhang Xiaping, 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.
4	钱峰, 皮杰, 刘俊磊, 等. 微电网建模与控制理论综述[J]. 武汉大学学报(工学版), 2020, 53(12): 1044-1054.
	Qian Feng, Pi Jie, Liu Junlei, et al. Review of Microgrid Modeling and Control Theory[J]. Engineering Journal of Wuhan University, 2020, 53(12): 1044-1054.
5	何丽娜, 陈汝科, 沈丹青, 等. 一种运用于微电网优化调度的改进蝙蝠算法[J]. 电工材料, 2021, 176(1): 39-41.
	He Lina, Chen Ruke, Shen Danqing, et al. An Improved Bat Algorithm Applied to Microgrid Optimal Scheduling[J]. Electrical Engineering Materials, 2021, 176(1): 39-41.
6	和树森, 刘天羽. 基于改进蝴蝶算法的冷热电联供微网日前优化调度研究[J]. 电气技术, 2021, 2(3): 14-19, 68.
	He Shusen, Liu Tianyu. Research on Optimized Scheduling of Combined Cooling Heating and Power Microgrid Based on Improved Butterfly Algorithm[J]. Electrical Engineering, 2021, 2(3): 14-19, 68.
7	李剑锋, 杨春来, 郝晓光, 等. 基于多能互补的综合能源微网优化调度方法研究[J]. 河北电力技术, 2021, 40(3): 32-35.
	Li Jianfeng, Yang Chunlai, Hao Xiaoguang, et al. Research on Optimal Scheduling Method of Integrated Energy Micro-grid Based on Multi-energy Complementation[J]. Hebei Electric Power, 2021, 40(3): 32-35.
8	胡陈壮. 含风光-储能的家庭微网能量优化调度[J]. 仪表技术, 2021, 382(2): 62-65.
	Hu Chenzhuang. Energy Optimal Scheduling of Home Microgrid with Wind and Solar Energy Storage[J]. Instrumentation Technology, 2021, 382(2): 62-65.
9	张丽娜, 王金梅, 杨国华, 等. 计及电网电价的微网能量优化管理[J]. 宁夏大学学报(自然科学版), 2020, 41(4): 379-383.
	Zhang Lina, Wang Jinmei, Yang Guohua, et al. Microgrid Energy Optimization Management with Grid Price Taken into Account[J]. Journal of Ningxia University(Natural Science Edition), 2020, 41(4): 379-383.
10	张晓辉, 闫柯柯, 卢志刚, 等. 基于碳交易的含风电系统低碳经济调度[J]. 电网技术, 2013, 37(10): 2697-2704.
	Zhang Xiaohui, Yan Keke, Lu Zhigang, et al. Carbon Trading Based Low-Carbon Economic Dispatching for Power Grid Integrated With Wind Power System[J]. Power System Technology, 2013, 37(10): 2697-2704.
11	孟冰冰, 胡林献, 白雪峰, 等. 具有电转气功能的多能源系统消纳弃风效果分析[J]. 热力发电, 2019, 48(6): 18-23.
	Meng Bingbing, Hu Linxian, Bai Xuefeng, et al. Analysis on Wind Power Accommodation Effect of Multi-energy System with P2G Function[J]. Thermal Power Generation, 2019,48(6): 18-23.
12	牛启帆, 武鹏, 张菁, 等. 考虑电转气的电-气耦合系统协同优化规划方法[J]. 电力系统自动化, 2020, 4(3): 24-31.
	Niu Qifan, Wu Peng, Zhang Jing, et al. A Cooperative Optimization Planning Method for Electric-Gas Coupling System[J]. Automation of Electric Power Systems, 2020, 4(3): 24-31.
13	林永君, 曹翠, 李静, 等. 计及碳捕获的含P2G微电网能量调度模型[J]. 热力发电, 2021, 50(8): 95-103.
	Lin Yongjun, Cao Cui, Li Jing, et al. Energy Scheduling Strategy Model of Microgrid with P2G Considering Carbon Capture[J]. Thermal Power Generation, 2021, 50(8): 95-103.
14	Zhang X P, Zhang Y Z. Environment-friendly and Economical Scheduling Optimization for Integrated Energy System Considering Power-to-Gas Technology and Carbon Capture Power Plant[J]. Journal of Cleaner Production (S0959-6526), 2020, 276: 361-374.
15	罗超, 杨军, 孙元章, 等. 考虑备用容量优化分配的含风电电力系统动态经济调度[J]. 中国电机工程学报, 2014, 4(34): 6109-6118.
	Luo Chao, Yang Jun, Sun Yuanzhang, et al. Dynamic Economic Dispatch of Wind Integrated Power System Considering Optimal Scheduling of Reserve Capacity[J]. Proceedings of the CSEE, 2014, 4(34): 6109-6118.
16	Momeni M, Soltani M, Hosseinpour M, et al. A Comprehensive Analysis of a Power-to-Gas Energy Storage Unit Utilizing Captured Carbon Dioxide as a Raw Material in a Large-Scale Power Plant[J]. Energy Conversion and Management (S0196-8904), 2021, 227: 142-156.
17	Andreas B, Thomas V, Kenneth B, et al. Facilitating Renewables and Power-to-Gas Via Integrated Electrical Power-Gas System Scheduling[J]. Applied Energy (S0306-2619), 2020, 275: 245-254.
18	Simon D. Biogeography-based Optimization[J]. IEEE Transactions on Evolutionary Computation (S1089-778X), 2008, 12(6): 702-713.
19	马海平, 李雪, 林升东. 生物地理学优化算法的迁移率模型分析[J]. 东南大学学报(自然科学版), 2009, 39(增1): 16-21.
	Ma Haiping, Li Xue, Lin Shengdong. Analysis of Migration Rate Models for Biogeography-Based Optimization[J]. Journal of Southeast University(Natural Science Edition), 2009, 39(S1): 16-21.
20	王雅萍, 张正军, 颜子寒, 等. 基于改进的迁移率模型的生物地理学优化算法[J]. 计算机应用, 2019, 39(09): 2511-2516.
	Wang Yaping, Zhang Zhengjun, Yan Zihan, et al. Biogeography-Based Optimization Algorithms Based on Improved Migration Rate Models[J]. Journal of Computer Applications, 2019, 39(09): 2511-2516.
21	王宁, 魏利胜. 一种基于GA的新型生物地理学优化算法研究[J]. 系统仿真学报, 2020, 32(9): 1717-1723.
	Wang Ning, Wei Lisheng. Research on a Novel Biogeography-Based Optimization Algorithm Based On GA[J]. Journal of System Simulation, 2020, 32(9): 1717-1723.

设备	功率/kW	维护成本/(元/(kW·h))
风机	500	0.12
太阳能电池板	500	0.08
微型燃气轮机	600	0.01
P2G	600	0.50
电储能	80	0.02

场景	算法	经济性(元)	环保性/kg	弃风弃光率/%
含P2G	BBO	2 510.4	1 889.5	5.27
	GBBO	2 540.9	1 877.8	5.05
	本文算法	2 080.8	1 354.4	4.95
	均值	2 377.3	1 873.9	5.09
不含P2G	BBO	2 380.5	2 824.3	15.43
	GBBO	2 290.6	2 551.5	16.23
	本文算法	1 870.8	2 517.7	14.35
	均值	2 180.5	2 531.1	15.34

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[4]	Sun Weiqing, Liu Tong, Liu Bo, Wang Youjia. Network Mode and Economy Analysis of Photovoltaic-Battery System in Microgrid [J]. Journal of System Simulation, 2018, 30(5): 1812-1818.
[5]	Gao Cong, Wu Dinghui, Pan Tinglong, Ji Zhicheng. Optimal Economic Dispatch of Microgrid Based on Immune Particle Swarm Optimization Algorithm [J]. Journal of System Simulation, 2018, 30(2): 636-646.