电网技术2016,Vol.40Issue(10):2951-2958,8.DOI:10.13335/j.1000-3673.pst.2016.10.005
市场环境下考虑降压节能调节的主动配电网运行优化策略
Optimal Operation Strategy for Active Distribution Company With Conservation Voltage Reduction in Competitive Electricity Markets
摘要
Abstract
This paper proposes a short-term trading model for an active distribution network (ADN) as a price-taker to participate in electricity markets to maximize its profits.Trading model is constructed based on a two-stage stochastic programming framework to represent the trading in day-ahead market and balance market and uncertainties pertaining to market prices and distributed generations (DGs).Conservation voltage reduction (CVR) is introduced to assist ADN to decrease electricity purchasing cost especially when market price is much higher than selling price for ADN customers.Besides,a novel linear optimal operation model of distribution network and a fictitious injected current based on-load tap changer linear model are developed and integrated into the stochastic programming framework to well address network securities of voltage violations.The proposed model makes the stochastic trading model highly practical for industrial utilizations,since formulated as a linear programming (LP)model,it can be efficiently solved with commercial software without resulting in further numerical troubles.Case studies demonstrate effectiveness of the proposed ADN model on security enhancement and operation revenue increase.关键词
主动配电网/随机规划/有载调压变压器/安全约束/节能降压控制Key words
active distribution network/stochastic programming/on-load tap changer/security constraint/conservation voltage reduction分类
信息技术与安全科学引用本文复制引用
蔡宇,林今,万灿,陈晓爽,宋永华..市场环境下考虑降压节能调节的主动配电网运行优化策略[J].电网技术,2016,40(10):2951-2958,8.基金项目
国家高技术研究发展计划项目(863计划)(2014AA051901) (863计划)
国家自然科学基金项目(51577096,51207077,51261130472).The National High Technology Research and Development of China (863 Program) (2014AA051901) (51577096,51207077,51261130472)
The National Natural Science Foundation of China (51577096,51207077,51261130472). (51577096,51207077,51261130472)