考虑低碳竞价的分布式源荷交易策略Distributed Source-load Trading Strategy Considering Low-carbon Bidding
杨塞特,喻洁,陈谦
YANG Saite,YU Jie,CHEN Qian
摘要(Abstract):
布式源荷交易有助于激发用户需求响应潜力,促进能源的就近消纳,而现有的模型缺乏涉及分布式交易算法的研究。对此,首先根据可交易能源机制设计了分布式源荷的交易规则,在此交易规则下考虑不同分布式电源单位发电量碳排放的差异,并提出了一种适用于分布式源荷的交易策略。这种交易策略以用户个体为主体,适用于购电用户和售电用户,根据不同分布式电源全生命周期的单位发电量碳排放差异设计报价修改机制,而后以不同的报价计算报价差并进行排序,根据报价差的大小选择交易对象并确定交易量、计算合作利润,最后利用核仁法进行利润分配并计算出最终的交易电价,满足个体和整体的合理性。
Distributed source-load trading helps stimulate the demand response potential of users and promotes local energy consumption. However, the existing models lack research on distributed transaction algorithms.In this paper, the transaction rules for distributed source-load are designed according to the transactive energy mechanisms firstly, and a trading strategy suitable for distributed load-source is proposed under the transaction rules considering the differences in carbon emissions between different distributed power generations. The trading strategy is designed for individual users and is suitable for both power purchasers and sellers. The quotation modification mechanism is designed based on the differences in carbon emissions per unit of power generation between different distributed power sources in the life cycle. Then the quotation differences are figured out and sorted to select transaction objects, determine transaction quantity and calculate cooperative profit according to the quotation differences. Finally, the nucleolus method is used to distribute the cooperative profit and calculate the final transaction price to satisfy the individual and the overall rationality.
关键词(KeyWords):
分布式源荷交易;交易策略;合作利润;核仁法;低碳
distributed source-load transaction;trading strategy;cooperative profit;nucleolus method;low-carbon
基金项目(Foundation): 国网江苏省电力有限公司科技项目(ZBXMFW201905001-ZBBD)
作者(Author):
杨塞特,喻洁,陈谦
YANG Saite,YU Jie,CHEN Qian
DOI: 10.19585/j.zjdl.201909002
参考文献(References):
- [1]王贤立,王招娣,门三义.电力市场环境下的分布式电源交易模式研究[J].科技经济市场,2018(3):35-36.
- [2]KOK K,WIDERGREN S.A society of devices:integrating intelligent distributed resources with transactive energy[J].IEEE Power and Energy Magazine,2016,14(3):34-45.
- [3]王克道,陈启鑫,郭鸿业,等.面向可交易能源的储能容量合约机制设计与交易策略[J].电力系统自动化,2018,42(14):54-60.
- [4]AL KAWASMI E,ARNAUTOVIC E,SVETINOVIC D.Bitcoin-based decentralized carbon emissions trading infrastructure model[J].Systems Engineering,2015,18(2):115-130.
- [5]SAHIN T,SHERECK D.Renewable energy sources in a transactive energy market[C]//The 2014 2nd International Conference on Systems and Informatics(ICSAI 2014). New York:IEEE,2014.
- [6]KHORASANY M,MISHRA Y,LEDWICH G.Auction based energy trading in transactive energy market with active participation of prosumers and consumers[C]//2017Australasian Universities Power Engineering Conference(AUPEC).New York:IEEE,2017:1-6.
- [7]YAAGOUBI N,MOUFTAH H T.Energy trading in the smart grid:a distributed game-theoretic approach[J].Canadian Journal of Electrical&Computer Engineering,2017,40(2):57-65.
- [8]SABOUNCHI M,WEI J.Towards resilient networked microgrids:Blockchain-enabled peer-to-peer electricity trading mechanism[C]//2017 IEEE Conference on Energy Internet and Energy System Integration(EI2),New York:IEEE,2017:1-5.
- [9]平健,陈思捷,张宁,等.基于智能合约的配电网去中心化交易机制[J].中国电机工程学报,2017,37(13):3682-3690.
- [10]郭琳,陈先锋,邓惠华,等.含分布式电源P2P交易的社区微网运营机制[J].电力建设,2018,39(7):2-9.
- [11]陈颖,江曦源,于智同,等.区域配电网内分布式电源和负载联盟交易模式设计和分析[J].电力系统自动化,2017,41(14):78-86.
- [12]王敏,姜远志,石逸,等.一种基于浮动电价的销售电价定价策略[J].广东电力,2018,31(6):14-18.
- [13]张轩,陈雨果,白杨,等.促进节能减排的中长期电力市场机制设计[J].广东电力,2018,31(6):25-31.
- [14]王玉萍,朱明.贵州电力市场主体市场化交易行为星级信用评价[J].电力大数据,2017,20(11):54-56.
- [15]赵文会,林美秀,高姣倩,等.电力市场机制下发电权与碳排放权组合交易模型[J].电网与清洁能源,2016,32(11):1-8.