Multi-Objective Stochastic Optimal Operation of a Grid-Connected Microgrid Considering an Energy Storage System

被引：17

作者：

Fan, Hong ^{[1
]}

Yuan, Qianqian ^{[1
]}

Cheng, Haozhong ^{[2
]}

机构：

[1] Shanghai Univ Elect Power, Inst Elect Engn, Shanghai 200090, Peoples R China

[2] Shanghai Jiao Tong Univ, Key Lab Control Power Transmiss & Convers, Shanghai 200240, Peoples R China

来源：

APPLIED SCIENCES-BASEL | 2018年 / 8卷 / 12期

关键词：

microgrid; energy storage system; Monte Carlo simulation; scenario reduction; multi-objective optimization; STANDALONE MICROGRIDS; MANAGEMENT-SYSTEM; RENEWABLE ENERGY; OPTIMAL DISPATCH; OPTIMIZATION; WIND;

D O I：

10.3390/app8122560

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

This paper investigates the stochastic optimal operation of microgrid considering the influence of energy storage system (ESS). The uncertain factors related to renewable energies are also fully considered. Monte Carlo simulation (MCS) and scenario reduction technique are used to capture the randomness of renewable energy output. The objective is to minimize the operation cost and pollutant treatment cost of the microgrid system. Then, the multi-objective optimization problem is transformed to a single-objective problem by a line weighted sum method. A nonlinear programming tool-General Algebraic Modeling System (GAMS)-is adopted to solve the single-objective problem. Simulation results indicate that the total cost of the microgrid system can be reduced effectively when considering the effect of ESS and verify the correctness of the proposed strategy.

引用

页数：13