Automation of Electric Power SystemsVol. 40, Issue 16, Pages: 49-55(2016)
作者机构:
新能源电力系统国家重点实验室, 华北电力大学,北京市,102206
作者简介:
基金信息:
DOI:
CLC:
Published:2016
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LIU Nian. [J]. Automation of electric power systems, 2016, 40(16): 49-55.
DOI:
LIU Nian. [J]. Automation of electric power systems, 2016, 40(16): 49-55.DOI:
市场模式下光伏用户群的电能共享与需求响应模型
摘要
在光伏上网电价低于市电电价的环境下
光伏用户通过集群的方式实现电能共享
可以获得比单独运行更好的效益。为了使光伏用户群内各经济主体能实现有序的电能交易
提出了一种基于光伏电能供需比(SDR)的内部价格模型。在考虑经济性和舒适度的基础上
提出了用户参与需求响应(DR)的效用成本模型。由于内部电价是以各时段光伏用户群内的供需比为基础
用户之间针对电价的需求响应行为可构成非合作博弈
在证明该博弈问题存在纳什均衡解的基础上
提出了分布式优化算法对用户的纳什均衡策略进行求解。最后
通过实际算例验证了所提模型在减少用电成本、提高光功率互用水平上的有效性。
Abstract
In the environment of discrimination in the feed-in tariff
the joint operation in cluster of photovoltaic(PV)prosumers could be more beneficial than the independent operation. In order to enable multi economic entities trade inside the cluster
a day-ahead pricing model based on supply and demand ratio(SDR)of shared PV energy is proposed. Considering the factors of economy and comfort
an effective cost model of the PV prosumers is proposed
which enables the PV prosumers participate in the demand response(DR). As the internal prices are coupled with total power demand and supply in the cluster
the DR action of PV prosumers are formulated as a non-cooperative game. The existence of Nash equilibrium is proved
and a distributed optimization algorithm is designed to solve the Nash equilibrium strategy. Finally
via a practical example
the effectiveness of these models is verified in terms of saving PV prosumers' costs and improves the sharing of the PV power. This work is supported by National High Technology Research and Development Program of China(863 Program)(No. 2014AA052001)and China Southern Power Grid Company Limited(No. K-KY2014-009).