引用本文:马天男,彭丽霖,杜英,苟全峰,王超,郭小帆.区块链技术下局域多微电网市场竞争博弈模型及求解算法[J].电力自动化设备,2018,(5):
MA Tiannan,PENG Lilin,DU Ying,GOU Quanfeng,WANG Chao,GUO Xiaofan.Competition game model for local multi-microgrid market based on block chain technology and its solution algorithm[J].Electric Power Automation Equipment,2018,(5):
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区块链技术下局域多微电网市场竞争博弈模型及求解算法
马天男1, 彭丽霖2, 杜英1, 苟全峰1, 王超1, 郭小帆3
1.国网四川省电力公司经济技术研究院,四川 成都 610041;2.四川电力交易中心有限公司,四川 成都 610041;3.四川电力设计咨询有限责任公司,四川 成都 610041
摘要:
区块链技术作为新兴分布式数据库技术,在能源领域有巨大的应用潜力。多微电网系统作为能源互联网的重要组成部分,研究多微电网系统中多主体的竞争博弈对能源互联网技术的发展具有重要的意义。在综合分析微电网运营商、大用户以及分布式聚合商市场主体需求及收益等因素的基础上,构建了基于区块链技术的多微电网系统竞争博弈模型;针对这一复杂多目标优化问题,提出了采用改进蚁群优化算法(IACO)进行求解。对所构建的竞争博弈模型及求解算法进行了仿真分析,仿真结果表明,基于所提模型得到的各时段最优电价策略可有效地平衡市场各主体的效益,从而实现多方共赢和协调发展;结果验证了IACO在求解基于区块链技术多目标优化问题时的适应性和有效性。
关键词:  区块链  多微电网  能源互联网  竞争博弈  电力市场  蚁群算法  模型
DOI:10.16081/j.issn.1006-6047.2018.05.028
分类号:TM761
基金项目:国家自然科学基金资助项目(71501071)
Competition game model for local multi-microgrid market based on block chain technology and its solution algorithm
MA Tiannan1, PENG Lilin2, DU Ying1, GOU Quanfeng1, WANG Chao1, GUO Xiaofan3
1.Economic and Technological Research Institute of State Grid Sichuan Electric Power Company, Chengdu 610041, China;2.Sichuan Power Exchange Center Co. Ltd.,Chengdu 610041, China;3.Sichuan Electric Power Design Consulting Co. Ltd.,Chengdu 610041, China
Abstract:
Block chain technology as a new distributed database technology has great application potential in the energy filed. As an important component of the energy internet, the research on the competition game of multi participators in the multi-microgrid system is of great significance to the development of energy internet technology. The market demand and profits of microgrid operators, big consumers and distributed aggregators are comprehensively ana-lyzed, and the competition game model for the local multi-microgrid system is proposed based on the block chain technology, which is solved by the IACO(Improved Ant Colony Optimization algorithm). The proposed competition game model and the solution algorithm are simulated and results show that, the optimal electricity price strategy of each period obtained by the proposed model can effectively balance the benefits among market participators, realizing the win-win and coordinated development, and the adaptability and effectiveness of IACO in solving the multi-objective optimization problem based on the block chain technology are verified.
Key words:  block chain  multi-microgrid  energy internet  competition game  electricity market  ant colony algorithm  models

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