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文章摘要
考虑DG时序特性及负荷种类的微网电源容量与分时电价协同规划
Coordinated planning of capacity of DG and TOU price consideringtiming characteristics of DG and types of load in microgrid
Received:June 09, 2017  Revised:June 09, 2017
DOI:
中文关键词: 微网  分时电价  分布式电源  时序特性  响应特性  协同规划
英文关键词: microgrid, time-of-use (TOU) electricity  price, distributed  generation (DG), time-varying, response  characteristics, coordinated  planning
基金项目:四川省科技计划项目
Author NameAffiliationE-mail
Liu Di School of Electrical Engineering and Information, Sichuan University 517623210@qq.com 
Lv Lin* School of Electrical Engineering and Information, Sichuan University lvlin@scu.edu.cn 
Liu Jichun School of Electrical Engineering and Information, Sichuan University 1992382245@qq.com 
Gao Hongjun School of Electrical Engineering and Information, Sichuan University 371193203@qq.com 
Zhou Chunyan School of Electrical Engineering and Information, Sichuan University suibianle.123@163.com 
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中文摘要:
      合理配置微网内部各分布式电源容量,是保证微网实现就地消纳、自给自足的关键,而网内负荷一般与各电源额定出力存在时序上的差距,通过制定合理的分时电价策略能够在一定程度上减小该差距,基于此,文章提出了一种新的微网规划方法,即在规划阶段针对电源容量与分时电价进行协同规划。首先建立了针对不同种类电源、负荷的时序、响应模型,然后以各电源容量、分时电价为决策变量,以投资、运行成本等经济指标为目标函数,建立协同规划模型,运用线性优化商业软件进行求解,最后在算例中通过引入多种不同的常规规划方案进行对比,验证了该协同规划方案的优越性。
英文摘要:
      Reasonable allocation of the capacity of distributed generation(DG) in the microgrid, is the key to ensure the microgrid to achieve the purpose of local consumption and self sufficient. But,there is always a gap between the load and the rated power of DGs in the time-varying. To a certain extent, a reasonable time-of-use(TOU) price strategy can reduce the gap. This paper presented a new method of microgrid planning: coordinately planning the DGs'capacity and TOU electricity price during the planning phase. First, the model of DGs and load was established, considering the time-varying and response characteristics for different types. Then, coordinated planning model was presented, which takes the DGs'capacity and TOU electricity price as the decision variables, the operating cost and other economic indicators as the objective function, and was solved by the business software for linear programming. Finally, in the case study, the superiority of this coordinated planning method was verified by comparing with a variety of other conventional planning methods introduced.
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