Optimal scheduling for distributed hybrid system with pumped hydro storage

被引:102
|
作者
Kusakana, Kanzumba [1 ]
机构
[1] Cent Univ Technol, Dept Elect Elect & Comp Engn, Bloemfontein, Free State, South Africa
关键词
Renewable energy; Hybrid system; Pumped hydro storage; Optimal operation scheduling; Cost minimization; OPTIMIZATION; MANAGEMENT; OPERATION; DESIGN;
D O I
10.1016/j.enconman.2015.12.081
中图分类号
O414.1 [热力学];
学科分类号
摘要
Photovoltaic and wind power generations are currently seen as sustainable options of in rural electrification, particularly in standalone applications. However the variable character of solar and wind resources as well as the variable load demand prevent these generation systems from being totally reliable without suitable energy storage system. Several research works have been conducted on the use of photovoltaic and wind systems in rural electrification; however most of these works have not considered other ways of storing energy except for conventional battery storage systems. In this paper, an energy dispatch model that satisfies the load demand, taking into account the intermittent nature of the solar and wind energy sources and variations in demand, is presented for a hybrid system consisting of a photovoltaic unit, a wind unit, a pumped hydro storage system and a diesel generator. The main purpose of the developed model is to minimize the hybrid system's operation cost while optimizing the system's power flow considering the different component's operational constraints. The simulations have been performed using "fmincon" implemented in Matlab. The model have been applied to two test examples; the simulation results are analyzed and compared to the case where the diesel generator is used alone to supply the given load demand. The results show that using the developed control model for the proposed hybrid system, fuel saving can be achieved compared to the case where the diesel is used alone to supply the same load patters. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:253 / 260
页数:8
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