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Stand-alone power system

About: Stand-alone power system is a research topic. Over the lifetime, 8650 publications have been published within this topic receiving 192397 citations. The topic is also known as: Stand-alone photovoltaic power system.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a model was developed to evaluate the effects of coupling large-scale wind power installations with increased use of electric heat pumps to meet a portion of space heating and domestic hot water (DHW) demands in New York City.

59 citations

Journal ArticleDOI
TL;DR: In this paper, the effect of typically required fault ridethrough (FRT) and post-FRT measures of VSC-HVDC-connected offshore WPPs on the combined ac and HVDC system dynamics is investigated.
Abstract: Future power systems will contain more converter-based generation, among which are the voltage-source converter–high-voltage direct-current (VSC-HVDC)-connected offshore wind power plants (WPP). Their interaction with the onshore system influences power system dynamics in the transient stability timeframe. The respective protection and control methods which cause this interaction must be taken into account in grid-integration studies performed today. This paper gives insight into the effect of typically required fault ridethrough (FRT) and post-FRT measures of VSC-HVDC-connected offshore WPPs on the combined ac and HVDC system dynamics. Several important sensitivities are addressed, among which are: 1) FRT implementation, 2) the postfault active power-recovery rates, 3) the ac network dynamic characteristics, and 4) the HVDC topology. The analysis is first performed as a proof of concept on a small benchmark system, and subsequently generalized to a realistic dynamic model of the future Northwestern European power system. The results of this paper can be used as a reference for understanding the effects of large-scale VSC-HVDC-connected offshore WPPs on the stability of the onshore interconnected power systems.

59 citations

Journal ArticleDOI
23 Mar 2015-Energies
TL;DR: In this paper, the optimal dispatch strategy of a virtual power plant, based on a unified electricity market combining day-ahead trading with real-time trading, is studied, and the fruit fly algorithm is used to solve the problem.
Abstract: A virtual power plant takes advantage of interactive communication and energy management systems to optimize and coordinate the dispatch of distributed generation, interruptible loads, energy storage systems and battery switch stations, so as to integrate them as an entity to exchange energy with the power market. This paper studies the optimal dispatch strategy of a virtual power plant, based on a unified electricity market combining day-ahead trading with real-time trading. The operation models of interruptible loads, energy storage systems and battery switch stations are specifically described in the paper. The virtual power plant applies an optimal dispatch strategy to earn the maximal expected profit under some fluctuating parameters, including market price, retail price and load demand. The presented model is a nonlinear mixed-integer programming with inter-temporal constraints and is solved by the fruit fly algorithm.

59 citations

Proceedings ArticleDOI
03 Jun 2013
TL;DR: In this article, a semi-empirical lifetime model for LiFePO4/C battery cells was developed based on the results obtained from accelerated lifetime testing, which was later a base for the analyses of the economic profitability of the investment in the Li-ion battery energy storage system (BESS), which delivers the primary frequency regulation service on the Danish electricity market.
Abstract: Meeting ambitious goals of transition to distributed and environmentally-friendly renewable energy generation can be difficult to achieve without energy storage systems due to technical and economical challenges. Moreover, energy storage systems have a high potential of not only smoothing and improving the predictability of the intermittent renewables but also of providing the ancillary services in the future energy markets. However, this is currently difficult to achieve due to high prices of the energy storage systems and difficulties with accurate prediction of the energy storage systems lifetime, which introduces significant risk into the business model. This paper deals with the investigation of the lifetime of LiFePO4/C battery systems when they are used to provide primary frequency regulation service. A semi-empirical lifetime model for these battery cells was developed based on the results obtained from accelerated lifetime testing. The developed Li-ion battery lifetime model is later a base for the analyses of the economic profitability of the investment in the Li-ion battery energy storage system (BESS), which delivers the primary frequency regulation service on the Danish electricity market. Moreover, in this paper a possible improvement of the Li-ion BESS energy management strategy is shown, which allows for obtaining the higher NPV.

59 citations

ReportDOI
01 Jun 2009
TL;DR: In this article, the authors characterize one especially attractive value proposition for modular electricity storage (MES): electric utility transmission and distribution (T&D) upgrade deferral, and present a generalized framework for estimating the benefit.
Abstract: The work documented in this report was undertaken as part of an ongoing investigation of innovative and potentially attractive value propositions for electricity storage by the United States Department of Energy (DOE) and Sandia National Laboratories (SNL) Electricity Storage Systems (ESS) Program. This study characterizes one especially attractive value proposition for modular electricity storage (MES): electric utility transmission and distribution (T&D) upgrade deferral. The T&D deferral benefit is characterized in detail. Also presented is a generalized framework for estimating the benefit. Other important and complementary (to T&D deferral) elements of possible value propositions involving MES are also characterized.

58 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202388
2022188
20213
20208
20196
201843