Non-Convex Economic Dispatch of a Virtual Power Plant via a Distributed Randomized Gradient-Free Algorithm

被引:10
|
作者
Xie, Jun [1 ,2 ]
Cao, Chi [1 ]
机构
[1] Nanjing Univ Posts & Telecommun, Coll Automat, Nanjing 210023, Jiangsu, Peoples R China
[2] Hohai Univ, Coll Energy & Elect Engn, Nanjing 211100, Jiangsu, Peoples R China
基金
美国国家科学基金会;
关键词
distributed randomized gradient-free algorithm; distributed randomized gradient-free oracles; non-convex economic dispatch; virtual power plant; OPTIMIZATION; CONSENSUS; SYSTEM;
D O I
10.3390/en10071051
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The economic dispatch problem of a virtual power plant (VPP) is becoming non-convex for distributed generators' characteristics of valve-point loading effects, prohibited operating zones, and multiple fuel options. In this paper, the economic dispatch model of VPP is established and then solved by a distributed randomized gradient-free algorithm. To deal with the non-smooth objective function, its Gauss approximation is used to construct distributed randomized gradient-free oracles in optimization iterations. A projection operator is also introduced to solve the discontinuous variable space problem. An example simulation is implemented on a modified IEEE-34 bus test system, and the results demonstrate the effectiveness and applicability of the proposed algorithm.
引用
收藏
页数:12
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