Distributed Power Generation

Willis, H; Scott, Walter

doi:10.1201/b16836

Cited by 123 publications

(85 citation statements)

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“…All three parameters have seasonal and daily variation patterns, and are correlated through the influence of varying weather. A simple approach to take into account the correlation, and in accordance with the discussion in [9], is to find the annual cash flows from available historical hourly data. In the following, at least one year of hourly data for the electricity price, climate data to estimate power generation (wind, radiation or water inflow) and the electricity load is available.…”

Section: Modeling the Electricity Load Power Generation And Electricmentioning

confidence: 99%

Optimal investment strategies in decentralized renewable power generation under uncertainty

Fleten¹,

Maribu²,

Wangensteen³

2007

Energy

213

113

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This paper presents a method for evaluating investments in decentralized renewable power generation under price un certainty. The analysis is applicable for a client with an electricity load and a renewable resource that can be utilized for power generation. The investor has a deferrable opportunity to invest in one local power generating unit, with the objective to maximize the profits from the opportunity. Renewable electricity generation can serve local load when generation and load coincide in time, and surplus power can be exported to the grid. The problem is to find the price intervals and the capacity of the generator at which to invest. Results from a case with wind power generation for an office building suggests it is optimal to wait for higher prices than the net present value break-even price under price uncertainty, and that capacity choice can depend on the current market price and the price volatility. With low price volatility there can be more than one investment price interval for different units with intermediate waiting regions between them. High price volatility increases the value of the investment opportunity, and therefore makes it more attractive to postpone investment until larger units are profitable. r

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Section: Modeling the Electricity Load Power Generation And Electricmentioning

confidence: 99%

Optimal investment strategies in decentralized renewable power generation under uncertainty

Fleten¹,

Maribu²,

Wangensteen³

2007

Energy

213

113

View full text Add to dashboard Cite

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“…Thus, is mainly attributed to the cable inductance. Reactance of low-voltage cables (up to 1kV) is in the range of 0.1 -0.75 Ω/mile at 60Hz (i.e., 0.27 -2 mH/mile) [129]. In a wind turbine, the generator and its converter are placed in the nacelle and hence the length of cable connection between the generator and the diode-bridge is very short (around 1-2 meters) and cable inductance is too small (< 2.5 H) and can be neglected.…”

Section: Drive Train Systemmentioning

confidence: 99%

A small-scale standalone wind energy conversion system featuring SCIG, CSI and a novel storage integration scheme

Alnasir

Kazerani

2016

Renewable Energy

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Small-scale standalone wind turbines provide a very attractive renewable energy source for off-grid remote communities. Taking advantage of variable-speed turbine technology, which requires a partial-or full-scale power converter, and through integrating an energy storage system, smooth and fast power flow control, maximum power point tracking, and a highquality power is ensured.Due to high reliability and efficiency, permanent magnet synchronous generator seems to be the dominating generator type in gearless wind turbines, employed for off-grid applications.However, wind turbines using geared squirrel-cage induction generator (SCIG) are still widely accepted due to their robustness, simplicity, light weight and low cost. Permanent magnet induction generator, a relatively new induction-based machine, has recently been recognized in the wind energy market as an alternative for permanent magnet synchronous generator. A thorough comparative study, among these three generator types, is conducted in this research in order to enable selection of the most appropriate generator for off-grid wind energy conversion system (WECS), subject to a set of given conditions. The system based on geared SCIG has been shown to be the most appropriate scheme for a small-scale standalone WECS, supplying a remote area.Different topologies of power electronic converters, employed in WECSs, are overviewed.Among the converters considered, current source converter is identified to have a great potential for off-grid wind turbines.Three current-source inverter-based topologies, validated in the literature for on-grid WECS, are compared for off-grid WECS application. Feasibility study and performance evaluation are conducted through analysis and simulation. Among all, the topology composed of three-phase diode bridge rectifier, DC/DC buck converter, and pulse-width-modulated current-source inverter (PWM-CSI) is identified as a simple and low-cost configuration, offering satisfactory performance for a low-power off-grid WECS.A small-scale standalone wind energy conversion system featuring SCIG, CSI and a novel energy storage integration scheme is proposed and a systematic approach for the dc-link inductor design is presented. iv In developing the overall dynamic model of the proposed wind turbine system, detailed models of the system components are derived. A reduced-order generic load model, that is suitable for both balanced and unbalanced load conditions, is developed and combined with the system components in order to enable steady-state and transient simulations of the overall system. A linear small-signal model of the system is developed around three operating points to investigate stability, controllability, and observability of the system. The eigenvalue analysis of the small-signal model shows that the open-loop system is locally stable around operating points 1 and 3, but not 2. Gramian matrices of the linearized system show that the system is completely controllable at the three operating points and completely observable at...

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“…For this small system, the ratio between the maximum load and the average load is high. However, when the number of loads increases, the coincidence in load behavior leads to a smoother load curve and a smaller ratio between maximum and average load [6]. observed peak power in the group C = (power pattern)…”

Section: A Power Demandmentioning

confidence: 99%

The Application of Super Capacitors to relieve Battery-storage systems in Autonomous Renewable Energy Systems

Voorden

Elizondo²,

Paap

et al. 2007

2007 IEEE Lausanne Power Tech

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Abstract-The utilization of wind and sun as renewable sources causes uncontrollable fluctuations in power generation. Furthermore, the ratio between peak power and average power is high for systems with a limited number of households. In small autonomous renewable energy systems (ARES), energy storage is needed; however, the use of Lead-acid batteries as energy buffers is problematic, since it is not possible to cover fast power fluctuations without dramatically reducing the batteries' lifetime. In this paper Super Capacitors are applied to relieve fast changes in the battery storage system. Batteries are used to meet the energy requirements and Super Capacitors are used to meet the instantaneous power demand. At the end of this paper, a sizing method is proposed for the Super Capacitor system.

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Distributed Power Generation

Cited by 123 publications

References 0 publications

Optimal investment strategies in decentralized renewable power generation under uncertainty

Optimal investment strategies in decentralized renewable power generation under uncertainty

A small-scale standalone wind energy conversion system featuring SCIG, CSI and a novel storage integration scheme

The Application of Super Capacitors to relieve Battery-storage systems in Autonomous Renewable Energy Systems

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