A Two-Stage Optimal Scheduling Model of Microgrid Based on Chance-Constrained Programming in Spot Markets

被引：5
作者：
Li, Jiayu [1 ]
Tan, Caixia [1 ]
Ren, Zhongrui [2 ]
Yang, Jiacheng [1 ]
Yu, Xue [1 ]
Tan, Zhongfu [1 ,3 ]
机构：
[1] North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
[2] Fujian Yongfu Power Engn Co Ltd, Power Generat Dept, Fuzhou 350108, Peoples R China
[3] Yanan Univ, Sch Econ & Management, Yanan 716000, Peoples R China
来源：
PROCESSES | 2020年 / 8卷 / 01期
基金：
美国国家科学基金会;
关键词：
microgrid; spot markets; chance-constrained programming; demand side management; POWER-PLANT; WIND; STRATEGIES;
D O I：
10.3390/pr8010107
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
Aimed at the coordination control problem of each unit caused by microgrid participation in the spot market and considering the randomness of wind and solar output and the uncertainty of spot market prices, a day-ahead real-time two-stage optimal scheduling model for microgrid was established by using the chance-constrained programming theory. On this basis, an improved particle swarm optimization (PSO) algorithm based on stochastic simulation technology was used to solve the problem and the effect of demand side management and confidence level on scheduling results is discussed. The example results verified the correctness and effectiveness of the proposed model, which can provide a theoretical basis in terms of reasonably coordinating the output of each unit in the microgrid in the spot market.
引用
收藏
页数：22
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