Optimal scheduling of virtual power plants that ignore the cost of battery loss

被引：0

作者：

Lu Tianqi ^{[1
]}

Li Zhanjun ^{[1
]}

Kong Xianguo ^{[2
]}

Yang Jiye ^{[1
]}

Wang Chunsheng ^{[1
]}

Li Jian ^{[1
]}

Yang Xiaozheng ^{[1
]}

Hu Dalong ^{[1
]}

Nan Zhe ^{[1
]}

Jiang L, I ^{[1
]}

Liu Ran ^{[1
]}

Ma Qiang ^{[1
]}

机构：

[1] State Grid Liaoning Elect Power CO LTD, Elect Power Res Inst, Shenyang 110015, Liaoning, Peoples R China

[2] State Grid Mat CO LTD, 5 Liupukang St, Beijing 100120, Peoples R China

来源：

PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC) | 2018年

关键词：

Stochastic optimal scheduling; Virtual power plan; Energy storage system; CAPACITY;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

As an emerging management form of distributed energy, virtual power plant (VPP) has expencnced booming development worldwide during recent years. The optimal scheduling model of VPP without the consideration of battery degradation cost is proposed.The scheduling objective is maximize the expected profit of VPP on condition that the power output limits of Gas turbine generator, security operation constraints of VPP and stable operation constraints of HESS are statisfied. The results of simulation show that, compared with the deteminstic approach, this stochastic scheduling method can effectively solve the uncertain problem with renewable energy resources and electricity price and improve economic perforrnace of VPP when trading in electricity market.

引用

页码：541 / 546

页数：6

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