Economic and Technological Optimization of Hybrid Rural Microgrid with Wind, PV, Biogas, Storage, AC, and DC

doi:10.11930/j.issn.1004-9649.202401017

Abstract

Abstract:

This article establishes a microgrid AC/DC hybrid system model based on wind, solar, and biogas storage. Under the conditions of meeting the reliability of system power supply, multi-objective optimization is carried out with the highest utilization rate of new energy, the best economic cost, and the smallest carbon emissions. The optimal economic and technological configuration of the microgrid energy system under certain climatic conditions is studied.

Key words: electricity market, multi energy complementary system, rural microgrid

Hu TAN, Xiaoliang WANG, Tingting XU, Ke ZHAO, Lianchao SU, Wenyu ZHANG, Zheng XIN. Economic and Technological Optimization of Hybrid Rural Microgrid with Wind, PV, Biogas, Storage, AC, and DC[J]. Electric Power, 2024, 57(3): 27-33.

Add to citation manager EndNote|Ris|BibTeX

URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202401017

https://www.electricpower.com.cn/EN/Y2024/V57/I3/27

Figures/Tables 7

References 25

1	吴岩, 王光政. 基于CiteSpace的配电网韧性评估与提升研究综述与展望[J]. 中国电力, 2023, 56 (12): 100- 112, 137.
	WU Yan, WANG Guangzheng. Review and prospect of distribution network resilience assessment and improvement based on CiteSpace[J]. Electric Power, 2023, 56 (12): 100- 112, 137.
2	马喜平, 李亚昕, 梁琛, 等. 考虑高比例多元调节资源互动的配电网无功优化降损方法[J]. 中国电力, 2024, 57 (1): 123- 132.
	MA Xiping, LI Yaxin, LIANG Chen, et al. Reactive power optimization for loss reduction of distribution network considering interactions of high penetration level of multiple regulating energy resources[J]. Electric Power, 2024, 57 (1): 123- 132.
3	黄南天, 郭玉, 赵暄远. 计及辐照区间划分的含光伏电源配电网源-荷联合场景生成[J]. 东北电力大学学报, 2023, 43 (5): 78- 84.
	HUANG Nantian, GUO Yu, ZHAO Xuanyuan. Combined source-load scenario generation for PV-containing distribution networks with calculation and irradiation interval classification[J]. Journal of Northeast Electric Power University, 2023, 43 (5): 78- 84.
4	陈付雷, 方毛林, 汪辰晨, 等. 考虑风光出力相关性与条件风险价值的孤岛型微电网经济调度[J]. 智慧电力, 2023, 51 (12): 30- 37.
	CHEN Fulei, FANG Maolin, WANG Chenchen, et al. Economic dispatching of islanded microgrid considering correlation between wind power and PV output and conditional value at risk[J]. Smart Power, 2023, 51 (12): 30- 37.
5	赵超, 王斌, 孙志新, 等. 基于改进灰狼算法的独立微电网容量优化配置[J]. 太阳能学报, 2022, 43 (1): 256- 262.
	ZHAO Chao, WANG Bin, SUN Zhixin, et al. Optimal configuration optimization of islanded microgrid using improved grey wolf optimizer algorithm[J]. Acta Energiae Solaris Sinica, 2022, 43 (1): 256- 262.
6	谭颖, 吕智林, 李捷. 基于改进ELM的风/光/柴/储独立微网分布式电源多目标容量优化配置[J]. 电力系统保护与控制, 2016, 44 (8): 63- 70.
	TAN Ying, LÜ Zhilin, LI Jie. Multi-objective optimal sizing method for distributed power of wind-solar-diesel-battery independent microgrid based on improved electromagnetism-like mechanism[J]. Power System Protection and Control, 2016, 44 (8): 63- 70.
7	于凤娇, 王典, 李润宇. 计及需求侧响应的分布式电源并网优化策略[J]. 东北电力大学学报, 2022, 42 (2): 92- 103.
	YU Fengjiao, WANG Dian, LI Runyu. Optimization strategy for grid connection of distributed generation considering demand side response[J]. Journal of Northeast Electric Power University, 2022, 42 (2): 92- 103.
8	李现宝, 张可. 基于改进和声搜索算法的微电网优化调度研究[J]. 东北电力大学学报, 2022, 42 (5): 83- 89.
	LI Xianbao, ZHANG Ke. Research on optimal dispatching of microgrid based on improved harmony search algorithm[J]. Journal of Northeast Electric Power University, 2022, 42 (5): 83- 89.
9	于凯旋, 李凤霞, 李双拾. 基于改进BASDE算法的孤立微电网多目标容量优化配置仿真[J]. 电网与清洁能源, 2021, 37 (8): 109- 117.
	YU Kaixuan, LI Fengxia, LI Shuangshi. Simulation of multi-objective capacity optimization configuration of isolated microgrid based on improved BASDE algorithm[J]. Power System and Clean Energy, 2021, 37 (8): 109- 117.
10	杨海华. 风光沼蓄多能互补型微电网优化配置[D]. 秦皇岛: 燕山大学, 2020.
	YANG Haihua. Optimal capacity sizing for wind-solar-biogas-battery microgrid[D]. Qinhuangdao: Yanshan University, 2020.
11	程苒, 李峰, 常湧. 独立微电网系统电源容量优化配置研究[J]. 分布式能源, 2019, 4 (3): 8- 15.
	CHENG Ran, LI Feng, CHANG Yong. Power capacity optimization design of standalone microgrid[J]. Distributed Energy, 2019, 4 (3): 8- 15.
12	程苒, 常湧, 黄华, 等. 基于多目标的独立微电网电源容量优化设计[J]. 水电能源科学, 2017, 35 (10): 198- 202.
	CHENG Ran, CHANG Yong, HUANG Hua, et al. Multi-objective based optimal capacity design of isolated microgrid[J]. Water Resources and Power, 2017, 35 (10): 198- 202.
13	杨清, 袁越, 王敏, 等. 独立型水光储微电网系统容量优化配置[J]. 电力自动化设备, 2015, 35 (10): 37- 44.
	YANG Qing, YUAN Yue, WANG Min, et al. Optimal capacity configuration of standalone hydro-photovoltaic-storage microgrid[J]. Electric Power Automation Equipment, 2015, 35 (10): 37- 44.
14	倪文斌, 康慨, 魏聪, 等. 孤岛微电网容量配置优化研究[J]. 通信电源技术, 2020, 37 (12): 16- 18.
	NI Wenbin, KANG Kai, WEI Cong, et al. Research on the capacity optimization of off-grid microgrid[J]. Telecom Power Technology, 2020, 37 (12): 16- 18.
15	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. 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.
16	LI X M, GAO J M, YOU S, et al. Optimal design and techno-economic analysis of renewable-based multi-carrier energy systems for industries: a case study of a food factory in China[J]. Energy, 2022, 244, 123174. DOI
17	罗远翔, 关明, 刘铖, 等. 大规模风电并网下抽水蓄能参与电网调频的模型预测控制策略[J]. 东北电力大学学报, 2023, 43 (4): 20- 29.
	LUO Yuanxiang, GUAN Ming, LIU Cheng, et al. Large-scale wind power grid-connected pumped storage participates in grid frequency regulation model predictive control strategy[J]. Journal of Northeast Electric Power University, 2023, 43 (4): 20- 29.
18	陶鹏, 张冰玉, 韩桂楠, 等. 计及源荷双侧风险管理的光储微网两阶段低碳运行优化研究[J]. 智慧电力, 2023, 51 (11): 1- 6.
	TAO Peng, ZHANG Bingyu, HAN Guinan, et al. Two-stage low carbon operation optimization of photovoltaic storage microgrid considering risk management of both source and load sides[J]. Smart Power, 2023, 51 (11): 1- 6.
19	马君亮, 王智冬, 张述铭. 考虑县域光伏潜力评估的源网荷储协同规划[J]. 东北电力大学学报, 2023, 43 (3): 82- 90.
	MA Junliang, WANG Zhidong, ZHANG Shuming. Collaborative planning of source-grid-load-storage considering county PV potential assessment[J]. Journal of Northeast Electric Power University, 2023, 43 (3): 82- 90.
20	冯凯辉, 闫湖, 戴吴珍, 等. 计及能源利用效率的含生物质沼气发电农村能源系统优化运行[J]. 中国电力, 2022, 55 (7): 172- 178.
	FENG Kaihui, YAN Hu, DAI Wuzhen, et al. Optimal operation of rural energy system with biomass biogas power generation considering energy utilization efficiency[J]. Electric Power, 2022, 55 (7): 172- 178.
21	赵欣雨, 张云晓, 万乐, 等. 平抑百兆瓦级风电场功率波动的混合储能充放电协同控制策略[J]. 智慧电力, 2023, 51 (11): 23- 29, 68.
	ZHAO Xinyu, ZHANG Yunxiao, WAN Le, et al. Charge-discharge cooperative control strategy for hybrid energy storage system for suppressing power fluctuation of hundred megawatt level wind farm[J]. Smart Power, 2023, 51 (11): 23- 29, 68.
22	郝晓强, 刘文宇. 电池储能系统支撑电力系统频率调控策略研究[J]. 东北电力大学学报, 2023, 43 (5): 38- 42.
	HAO Xiaoqiang, LIU Wenyu. Research on frequency regulation strategy of battery energy storage system supporting power system[J]. Journal of Northeast Electric Power University, 2023, 43 (5): 38- 42.
23	张琳, 谢洪途, 赵路路, 等. 混合能源直流微电网能源优化管控策略研究[J]. 电力系统保护与控制, 2024, 52 (3): 141- 151.
	ZHANG Lin, XIE Hongtu, ZHAO Lulu, et al. Energy optimization and control strategy for a hybrid energy DC microgrid[J]. Power System Protection and Control, 2024, 52 (3): 141- 151.
24	杨冬锋, 冉子旭, 姜超. 面向规模化风电消纳的电-气-氢能源互联系统协同规划[J]. 东北电力大学学报, 2023, 43 (3): 91- 100.
	YANG Dongfeng, RAN Zixu, JIANG Chao. Collaborative planning of electricity-gas-hydrogen energy interconnection system for large-scale wind power consumption[J]. Journal of Northeast Electric Power University, 2023, 43 (3): 91- 100.
25	余鹏飞, 朱继忠, 熊小伏, 等. 基于储能的电力系统安全调控方法[J]. 电力系统保护与控制, 2023, 51 (19): 173- 186.
	YU Pengfei, ZHU Jizhong, XIONG Xiaofu, et al. Regulating & control method of power system security based on battery energy storage[J]. Power System Protection and Control, 2023, 51 (19): 173- 186.

设备	额定容量/ kW	投资成本/ 元	替换成本/ 元	O&M成本/ (元·(kW·a)^–1)	寿命/a
沼气	2.60	5706	5706	84.4	5.7
风机	1.24	31700	31700	511.3	20.0
光伏	5.00	22190	22190	63.4	25.0
蓄电池	1.30	1902	1902	63.4	10.0
转换器	—	4755	4755	—	15.0

设备	额定容量/ kW	投资成本/ 元	替换成本/ 元	O&M成本/ (元·(kW·a)^–1)	寿命/a
沼气	2.60	5706	5706	84.4	5.7
风机	1.24	31700	31700	511.3	20.0
光伏	5.00	22190	22190	63.4	25.0
蓄电池	1.30	1902	1902	63.4	10.0
转换器	—	4755	4755	—	15.0

方案	双燃料发电机/kW	风机/ kW	光伏/ kW	蓄电池/ 块	变流器/ kW	系统总净现费用/万	容量短缺概率/%
1	2.6	5	10.00	2	10.00	13.01	0
2	2.6	10	20.00	4	10.00	13.80	0
3	2.6	15	30.00	6	10.00	14.85	0
4	2.6	20	20.00	8	10.00	14.86	0
5	2.6	25	30.00	10	10.00	19.21	2

方案	双燃料发电机/kW	风机/ kW	光伏/ kW	蓄电池/ 块	变流器/ kW	系统总净现费用/万	容量短缺概率/%
1	2.6	5	10.00	2	10.00	13.01	0
2	2.6	10	20.00	4	10.00	13.80	0
3	2.6	15	30.00	6	10.00	14.85	0
4	2.6	20	20.00	8	10.00	14.86	0
5	2.6	25	30.00	10	10.00	19.21	2

方案	总净费用（NPC）/ 万元	初始成本/ 万元	单位发电成本/ (元·(kW·h)^–1)
基础	16.80	0.61	3.16
最优配置	13.01	7.30	2.45