Distribution Voltage Regulation Through Active Power Curtailment With PV Inverters and Solar Generation Forecasts

Distribution Voltage Regulation Through Active Power Curtailment With PV Inverters and Solar Generation Forecasts

Distribution Voltage Regulation Through Active Power Curtailment With PV Inverters and Solar Generation Forecasts

Abstract:

Distribution voltage profiles are subjected to overvoltage limit violations from high penetration of grid-connected photovoltaic (PV) systems. Such voltage rises seen at the point of PV interconnection can be mitigated by adaptively changing the active and/or reactive power injection from the PV inverter. This work proposes a local voltage regulation technique that utilizes very short-term (15 s) PV power forecasts to circumvent imminent upper voltage limit violation or an overvoltage scenario. To provide these PV generation forecasts, a hybrid forecasting method is formulated based on Kalman filter theory, which applies physical PV generation modeling using high-resolution (15 s) data from on-site measurements. The proposed algorithm employs an active power curtailment based on these PV power forecasts, when the reactive power estimate given by a droop-based method cannot provide the desired voltage regulation within predefined power factor limits. The curtailment threshold values are calculated in such a way that this voltage regulation technique can reduce possible voltage limit violations. The effectiveness of the proposed method is demonstrated with case studies developed on a standard test feeder with realistic load and PV generation profiles.
Published in: IEEE Transactions on Sustainable Energy ( Volume: 8, Issue: 1, Jan. 2017 )
Date of Publication: 07 June 2016
INSPEC Accession Number: 16577483
Publisher: IEEE

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Thermal Design of Photovoltaic/Microwave Conversion Hybrid Panel for Space Solar Power System

Thermal Design of Photovoltaic/Microwave Conversion Hybrid Panel for Space Solar Power System

Thermal Design of Photovoltaic/Microwave Conversion Hybrid Panel for Space Solar Power System

Abstract:

This paper describes the thermal design of a photovoltaic/microwave conversion hybrid panel for a tethered solar power satellite (SPS). A practical configuration of the hybrid panel with a sandwich structure was designed, and its thermal characteristics were unveiled. The thermal resistance of the panel was experimentally measured and used for a realistic simulation. The daily temperature variation of the designed panel and thermal deformation of the antenna surface during the SPS operation were simulated. The results show that the present panel satisfies the design requirements for the panel weight and deformation of the antenna surface; however, the power amplifier temperature exceeds the lower limit of the design requirements. As a solution to this problem, a spectrally selective coating on solar cell surface was examined as a passive temperature control method. The fabricated multilayer selective coating showed a significant temperature increase, demonstrating the feasibility of the present thermal design.
Published in: IEEE Journal of Photovoltaics ( Volume: 7, Issue: 1, Jan. 2017 )
Date of Publication: 01 December 2016
INSPEC Accession Number: 16560910
Publisher: IEEE

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Sizing of Stand-Alone Solar PV and Storage System With Anaerobic Digestion Biogas Power Plants

Sizing of Stand-Alone Solar PV and Storage System With Anaerobic Digestion Biogas Power Plants

Sizing of Stand-Alone Solar PV and Storage System With Anaerobic Digestion Biogas Power Plants

Abstract:

This paper presents a deterministic approach for sizing a solar photovoltaic (PV) and energy storage system (ESS) with anaerobic digestion (AD) biogas power plant (BPP) to meet a proportional scaled-down demand of the national load in Kenya, Africa. The aim is to achieve a minimal levelized cost of energy (LCOE) for the system while minimizing the energy imbalance between generation and demand due to AD generator constraint and solar resource. This system also aims to maximize the sizing of PV as to follow the future trend of high penetration of PV. LCOE for the system and a levelized cost of delivery (LCOD) are calculated for the hybrid energy system with the presence of energy storage. Four years of solar data collected from Johannesburg, Africa, are used for system sizing purposes. An in-depth study of the optimization problem has been given and particle swarm optimization with the interior point method is chosen for solar panel sizing. The optimal sizing ratio for the generation sources AD and PV is 2.4:5. The results show that the hybrid system will be cost effective compared to the AD-only system when the discount rate drops below 8% with the current technology costs.
Published in: IEEE Transactions on Industrial Electronics ( Volume: 64, Issue: 3, March 2017 )
Date of Publication: 07 November 2016
INSPEC Accession Number: 16668355

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Coordinated Operation of Concentrated Solar Power and Wind Resources for the Provision of Energy and Reserve Services

Coordinated Operation of Concentrated Solar Power and Wind Resources for the Provision of Energy and Reserve Services

Coordinated Operation of Concentrated Solar Power and Wind Resources for the Provision of Energy and Reserve Services

Abstract:

Renewable energy poses increasing challenges for power systems due to its variability, intermittency and uncertainty. The concentrated solar power (CSP) plant represents a promising alternative source of renewable energy technology and allows for the incorporation of thermal energy storage (TES) to store energy for later use. Furthermore, an electric heater (EH) can be integrated in CSP plant to convert supplemental energy from other sources into thermal energy for utilizations. Both TES and EH devices provide operational flexibility into power systems to accommodate more renewable energy through strategic scheduling and dispatching. Thus, we devote this paper to develop a stochastic two-stage day-ahead unit commitment model and a rolling look-ahead economic dispatch model with the integration of CSP and wind resources. We apply the proposed approach to assess the role of TES and EH in the improvement of the system’s operational flexibility. Specifically, we focus on their contribution to the mitigation of the uncertainty in the outputs of renewable resources, to the reserve requirements and to the reduction of overall system costs. We perform extensive studies on a modified IEEE test system using real solar and wind data with different configurations of CSP, TES and EH. The results demonstrate the effectiveness of CSP with TES and EH in promoting the further integration of renewable energy.
Published in: IEEE Transactions on Power Systems ( Volume: 32, Issue: 2, March 2017 )
Date of Publication: 20 May 2016
INSPEC Accession Number: 16690161

Solar PV powered BLDC motor drive for water pumping using Cuk converter

Solar PV powered BLDC motor drive for water pumping using Cuk converter

Solar PV powered BLDC motor drive for water pumping using Cuk converter

Abstract:- A solar photovoltaic (SPV) powered brushless DC (BLDC) motor drive for water pumping is presented in this study. The current sensors of BLDC motor and the voltage sensor at the DC bus of voltage-source inverter (VSI) are eliminated completely. Instead, the speed is controlled by adjusting the DC bus voltage of VSI. The fundamental frequency switching pulses are generated to operate the VSI in order to minimise the switching losses and to enhance the efficiency of proposed system. A DC-DC Cuk converter is utilised to operate the SPV array at its maximum power. The starting current of BLDC motor is bounded by an optimal initialisation and selection of the control parameters, perturbation size and frequency while tracking the peak power of SPV array. The performance of proposed BLDC motor drive is thoroughly evaluated and its potential is demonstrated under realistic operating conditions. The simulated results and an experimental validation along with a comprehensive comparison with the existing techniques demonstrate prominence of the proposed drive for SPV-based water pumping.
Published in: IET Electric Power Applications ( Volume: 11, Issue: 2, 2 2017 )
Date of Publication: 06 March 2017
INSPEC Accession Number: 16675292
Publisher: IET

A Hybrid Algorithm for Short-Term Solar Power Prediction Sunshine State Case Study

A Hybrid Algorithm for Short-Term Solar Power Prediction Sunshine State Case Study

A Hybrid Algorithm for Short-Term Solar Power Prediction Sunshine State Case Study

Abstract:

The growing rate of the integration of photovoltaic (PV) sites into the structure of power systems makes the task of solar power prediction more important in order to control the power quality and improve the reliability of system. In this paper, a hybrid forecasting algorithm is proposed for hour-ahead solar power prediction. A combination of gradient-descent optimization and meta-heuristic optimization approaches are designed in the structure of the presented model to take into account the prediction accuracy as well as the computational burden. At the first step, the gradient-descent optimization technique is employed to provide the initial parameters of a feed forward artificial neural network (ANN). At the next step, the meta-heuristic optimization model, called shuffled frog leaping algorithm (SFLA), is developed to search for the optimal set of parameters of ANN using the initial individuals found by the gradient-descent optimization. Then, the identified parameters by the customized SFLA will be employed by the ANN for short-term solar power prediction. The performance of the proposed forecasting algorithm is demonstrated on the solar power data of three simulated PV sites in Florida for 2006.
Published in: IEEE Transactions on Sustainable Energy ( Volume: 8, Issue: 2, April 2017 )
Date of Publication: 27 September 2016
Publisher: IEEE

Stochastic Assessment of Voltage Unbalance Due to Single-Phase-Connected Solar Power

Stochastic Assessment of Voltage Unbalance Due to Single-Phase-Connected Solar Power

Stochastic Assessment of Voltage Unbalance Due to Single-Phase-Connected Solar Power.

Abstract:

A stochastic method is presented in this paper to estimate the future voltage unbalance in a low-voltage distribution network with high-penetration of single-phase photovoltaic inverters (PVIs). The location and phase allocation of the PVIs are considered as input parameters for the stochastic simulation. The method has been applied to three different low-voltage networks: two in Sweden and one in Germany. In the Swedish networks, for 6-kW single-phase PVIs, it is likely that the contribution from single-phase photovoltaic inverters to the voltage unbalance exceeds 1%. The 2% value is unlikely to be exceeded. In the German network, for 4.6-kW single-phase PVIs, the voltage unbalance is between 1.35% and 2.62%. The risk of high-voltage unbalance can be reduced by a combination of controlled distribution over the phases and a reduction of the maximum size for a single-phase PVI.
Published in: IEEE Transactions on Power Delivery ( Volume: 32, Issue: 2, April 2017 )
Date of Publication: 10 June 2016
Publisher: IEEE