Economic environmental dispatch of solar-wind-hydro-thermal power system

被引：26

作者：

Basu, M. ^{[1
]}

机构：

[1] Jadavpur Univ, Dept Power Engn, Kolkata 700098, India

来源：

RENEWABLE ENERGY FOCUS | 2019年 / 30卷

关键词：

Battery storage - Constraint theory - Electric batteries - Electric load dispatching - Multiobjective optimization - Nitrogen oxides - Wind power;

D O I：

10.1016/j.ref.2019.04.002

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：

Economic environmental dispatch (EED) is a significant chore in solar-wind-hydro-thermal power system comprising multi-reservoir cascaded hydro plant with time delay, thermal plants with non-smooth fuel cost, NOx emission level and SO2 emission level functions, wind power generating units, solar PV plant and battery energy storage system. It is an extremely restricted multi-objective optimization problem linking conflicting objectives with both equality and inequality constraints. Here, non-dominated sorting genetic algorithm-II (NSGA-II) has been suggested for solving EED of solar-wind-hydro-thermal power system with battery energy storage system where generations are allocated among the on line units such that cost, NOx emission level and SO2 emission level are optimized simultaneously while fulfilling all operational constraints. Test results of two test systems acquired from the suggested technique have been fit to that acquired from strength pareto evolutionary algorithm 2 (SPEA 2).

引用

页码：107 / 122

页数：16

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