Optimal sizing study of hybrid wind/PV/diesel power generation unit

Belfkira, R.; Zhang, Lu; Barakat, Georges

doi:10.1016/j.solener.2010.10.018

Cited by 288 publications

(125 citation statements)

References 12 publications

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“…This is important because it is the wind speed seen by the rotor of the wind turbine (hub height wind speed) that determines the actual power radiated by a particular turbine. The most common expression used for this purpose is the power-law equation, expressed as [31,32,9,33]:…”

Section: Wind Generatormentioning

confidence: 99%

Optimal control of a fuel cell/wind/PV/grid hybrid system with thermal heat pump load

2016

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This paper presents an optimal energy management strategy for a grid tied photovoltaic-wind-fuel cell hybrid power supply system. The hybrid systems meets the load demand consisting of an electrical load and a heat pump water heater supplying thermal load. The objective is to minimize energy cost and maximize fuel cell output, taking into account the time-of-use electricity tariff. The optimal control problem is solved using a mixed integer linear program with the supply switch to the heat pump water heater and the power from the grid, power to/from inverter, power to electrolyzer and from fuel cell the control variables. The hot water temperature inside the water storage tank and the hydrogen in the storage tank are the state variables. The performance of the proposed control strategy is tested by simulating different operating scenarios: with and without renewable energy feed-in, and the results confirm the effectiveness of the proposed control strategy, as it increases the supply reliability of the system. Keywords

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Section: Wind Generatormentioning

confidence: 99%

Optimal control of a fuel cell/wind/PV/grid hybrid system with thermal heat pump load

2016

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“…The battery performance index is the state of energy (SOE) [35], which depends on the initial state of energy B c (t − 1), which is dependent on charging/discharging of power. The battery SOE model is adopted from [22] for any given time t. The power flow from t − 1 to t is given in equation (9), where t = 1, .…”

Section: Batterymentioning

confidence: 99%

Optimal energy control of grid tied PV–diesel–battery hybrid system powering heat pump water heater

Sichilalu

Xia

2015

Solar Energy

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This paper develops an optimal control strategy for power dispatch of the grid-tied photovoltaic (PV) -battery-diesel system to power heat pump water heaters (HPWH). The system consists of the PV modules, grid, battery, HPWH, diesel generator (DG) and other domestic appliances. The PV can simultaneously feed in the excess power to the grid and supply the loads. The battery is used as storage of cheaper-to-buy off-peak grid energy, dependent on the time-of-use (TOU) electricity tariff, whilst the DG is a backup power source to the HPWH. The objective function of the model is to minimize energy and fuel cost while maximizing PV energy trade-off for incentives. The TOU is an important control parameter in this model. The power flows from each power source are the control variables. The optimal control shows a great potential to realize a practical net zero-energy building and demand side management. This model meets both the technical and operational constraints. A case study is done based on a 3x16kW HPWH installed at a Pretoria hotel in South Africa. Simulations run over a year on selected seasonal dates using the actual measured demand of the HPWH. The optimal control problem is solved using a mixed integer non-linear program and the results show how TOU affects the power dispatch to the HPWH. The energy and cost savings are presented in this paper.

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“…For the improved reliability of hybrid systems, the optimal design of the size of each component is one of the most important issues in stand-alone hybrid system. In recent years, optimal sizing methods for hybrid systems based on probabilistic, analytical, and heuristic methods have been studied [1][2][3][4][5][6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Structure Optimization of Stand-Alone Renewable Power Systems Based on Multi Object Function

2016

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This paper presents a methodology for the size optimization of a stand-alone hybrid PV/wind/diesel/battery system while considering the following factors: total annual cost (TAC), loss of power supply probability (LPSP), and the fuel cost of the diesel generator required by the user. A new optimization algorithm and an object function (including a penalty method) are also proposed; these assist with designing the best structure for a hybrid system satisfying the constraints. In hybrid energy system sources such as photovoltaic (PV), wind, diesel, and energy storage devices are connected as an electrical load supply. Because the power produced by PV and wind turbine sources is dependent on the variation of the resources (sun and wind) and the load demand fluctuates, such a hybrid system must be able to satisfy the load requirements at any time and store the excess energy for use in deficit conditions. Therefore, reliability and cost are the two main criteria when designing a stand-alone hybrid system. Moreover, the operation of a diesel generator is important to achieve greater reliability. In this paper, TAC, LPSP, and the fuel cost of the diesel generator are considered as the objective variables and a hybrid teaching-learning-based optimization algorithm is proposed and used to choose the best structure of a stand-alone hybrid PV/wind/diesel/battery system. Simulation results from MATLAB support the effectiveness of the proposed method and confirm that it is more efficient than conventional methods.

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Optimal sizing study of hybrid wind/PV/diesel power generation unit

Cited by 288 publications

References 12 publications

Optimal control of a fuel cell/wind/PV/grid hybrid system with thermal heat pump load

Optimal control of a fuel cell/wind/PV/grid hybrid system with thermal heat pump load

Optimal energy control of grid tied PV–diesel–battery hybrid system powering heat pump water heater

Structure Optimization of Stand-Alone Renewable Power Systems Based on Multi Object Function

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