引用本文:陈正,杨建华,靳开元,侯斌,王维洲.基于能源区块链的设施农业负荷时移与光伏就地消纳控制策略[J].电力自动化设备,2021,41(2):
CHEN Zheng,YANG Jianhua,JIN Kaiyuan,HOU Bin,WANG Weizhou.Control strategy of time-shift facility agriculture load and photovoltaic local consumption based on energy blockchain[J].Electric Power Automation Equipment,2021,41(2):
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基于能源区块链的设施农业负荷时移与光伏就地消纳控制策略
陈正1, 杨建华1, 靳开元1, 侯斌1, 王维洲2
1.中国农业大学 信息与电气工程学院,北京 100083;2.国网甘肃省电力有限公司,甘肃 兰州 730050
摘要:
随着设施农业的发展,设置合适的控制策略以及利用新型农业负荷可以有效消纳农网的分布式发电功率。区块链因具有安全、共识、激励的特性逐渐受到能源领域的关注。利用设施农业负荷的可时移特性,在农业园区微能网层和温室层分别构建优化目标,提出了基于区块链技术的园区微能网控制策略。各温室以促进光伏就地消纳最大化为目标,基于区块链中共享的用能数据、设备参数、运行数据等信息,针对园区微能网中光伏出力波动、负荷时移、储能配置等提出了下一时段的运行策略。设定光伏消纳占比评价指标,评估各温室的消纳情况,在区块链中始终记录最优的负荷运行方案。算例结果表明,所提控制策略可有效提高园区分布式光伏的就地消纳程度,降低微能网的购电费用和网损,提高电网的电压质量。
关键词:  能源区块链  设施农业  分布式光伏  就地消纳  可时移负荷  控制策略
DOI:10.16081/j.epae.202101012
分类号:TM615;TK01
基金项目:国家电网公司科技项目(5227221900HC)
Control strategy of time-shift facility agriculture load and photovoltaic local consumption based on energy blockchain
CHEN Zheng1, YANG Jianhua1, JIN Kaiyuan1, HOU Bin1, WANG Weizhou2
1.College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China;2.State Grid Gansu Electric Power Co.,Ltd.,Lanzhou 730050, China
Abstract:
With the development of facility agriculture, the distributed generation power of agricultural network can be absorbed effectively by setting appropriate control strategies and using new agricultural load. Blockchain has gradually attracted the attention of energy field due to its characteristics of security, consensus and motivation. Based on the time-shift characteristic of facility agriculture load, optimization objectives are respectively constructed in the micro-energy network layer and the greenhouse layer in the agricultural park, and the control strategy of micro-energy network in the park is proposed based on the blockchain technology. With the goal of maximizing local consumption of photovoltaic in each greenhouse, based on the energy consumption data, equipment parameters, operation data, and so on, which are shared in the blockchain, the operation strategy for the next period is proposed responding to output power fluctuation of photovoltaic, time-shift load and configuration of energy storage in the micro-energy network. The evaluation index of photovoltaic consumption ratio is set to evaluate the consumption condition of each greenhouse, and the optimal load operation scheme is always recorded in the blockchain. The example results show that the proposed control strategy can effectively improve the local consumption of distributed photovoltaic in the park, reduce the power purchase cost and network loss of micro-energy network, and improve the voltage quality of the power grid.
Key words:  energy blockchain  facility agriculture  distributed photovoltaic  local consumption  time-shift load  control strategy

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