A stochastic framework for uncertainty analysis in electric power transmission systems with wind generation

Sansavini, Giovanni; Piccinelli, Roberta; Golea, L. R.; Zio, Enrico

doi:10.1016/j.renene.2013.11.002

Cited by 45 publications

(27 citation statements)

References 24 publications

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“…Replacing dispatchable energy sources driven by fossil fuel through distributed SPV, wind 38 and biomass/bio energy sources is the major challenge in this context. Mismatch in time of peak demand and 39 generation due to stochastic nature of wind speed and solar radiation as well as of electricity demand makes the 40 renewable energy integration process difficult [10], [11]. Integration of dispatchable energy sources, energy storage 41 and converting into hybrid renewable energy systems is a cost effective approach in increasing the reliability during 42 the renewable energy integration process.…”

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confidence: 99%

“…Further, this helps to amalgamate energy sources with higher seasonal 43 variation in energy potential [12], [13] with less impact to the grid. More importantly, this is the starting point of 44 minimizing the contribution of dispatchable energy sources based on fossil fuels, which makes existing energy 45 systems more eco-friendly and sustainable [10], [14]. However, optimum designing of such energy systems is a 46 challenging task.…”

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Electrical hubs: An effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid

et al. 2017

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9A paradigm change in energy system design tools, energy market, and energy policy is required to attain the target 10 levels in renewable energy integration and in minimizing pollutant emissions in power generation. Integrating non-11 dispatchable renewable energy sources such as solar and wind energy is vital in this context. Distributed generation 12 has been identified as a promising method to integrate Solar PV (SPV) and wind energy into grid in recent literature. 13Distributed generation using grid-tied electrical hubs, which consist of Internal Combustion Generator (ICG), non-14 dispatchable energy sources (i.e., wind turbines and SPV panels) and energy storage for providing the electricity 15 demand in Sri Lanka is considered in this study. A novel dispatch strategy is introduced to address the limitations in 16 the existing methods in optimizing grid-integrated electrical hubs considering real time pricing of the electricity grid 17 and curtailments in grid integration. Multi-objective optimization is conducted for the system design considering 18 grid integration level and Levelized Energy Cost (LEC) as objective functions to evaluate the potential of electrical 19 hubs to integrate SPV and wind energy. The sensitivity of grid curtailments, energy market, price of wind turbines 20 and SPV panels on Pareto front is evaluated subsequently. Results from the Pareto analysis demonstrate the potential 21 of electrical hubs to cover more than 60% of the annual electricity demand from SPV and wind energy considering 22 stringent grid curtailments. Such a share from SPV and wind energy is quite significant when compared to direct 23 grid integration of non-dispatchable renewable energy technologies. 24

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Electrical hubs: An effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid

et al. 2017

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“…The proposed modification, called Latin Hypercube-based Sampling Algorithm (LHSA), is, then, coupled to the AKMCS (AKIS). The resulting estimation tool is demonstrated on the realistic case study of the RTS 96 power transmission network of literature [28], modified in [29,30] to account for the contribution of two wind farms connected to the grid, where cascading failures are realistically simulated resorting to a direct current (DC) approximation of the power flowing in the network lines.…”

Section: Introductionmentioning

confidence: 99%

Estimation of rare event probabilities in power transmission networks subject to cascading failures

Cadini

Agliardi

Zio

2017

Reliability Engineering & System Safety

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Cascading failures seriously threat the reliability/availability of power transmission networks. In fact, although rare, their consequences may be catastrophic, including large-scale blackouts affecting the economics and the social safety of entire regions. In this context, the quantification of the probability of occurrence of these events, as a consequence of the operating and environmental uncertain conditions, represents a fundamental task. To this aim, the classical simulation-based Monte Carlo (MC) approaches may be impractical, due to the fact that (i) power networks typically have very large reliabilities, so that cascading failures are rare events and (ii) very large computational expenses are required for the resolution of the cascading failure dynamics of real grids. In this work we originally propose to resort to two MC variance reduction techniques based on metamodeling for a fast approximation of the probability of occurrence of cascading failures leading to power losses. A new algorithm for properly initializing the variance reduction methods is also proposed, which is based on a smart Latin Hypercube search of the events of interest in the space of the uncertain inputs. The combined methods are demonstrated with reference to the realistic case study of a modified RTS 96 power transmission network of literature

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“…Nondispatchable energy sources such as wind energy and Solar PV energy (SPV) is becoming more promising in this context especially due to the recent improvement in technology which resulted in higher energy conversion efficiency and lower cost in manufacturing. However, integration of nondispatchable energy technologies into grid has become challenging due to the stochastic nature of wind and solar energy [1]. Although higher penetration level of solar and wind energy is expected based on monthly or annual average data the scenarios notably change when moving to hourly scale considering stochastic nature of the demand and potential of these energy sources [2].…”

Section: Introductionmentioning

confidence: 99%

Optimum design and control of grid integrated electrical hubs considering lifecycle cost and emission

Perera

Mauree

Scartezzini

et al. 2016

2016 IEEE International Energy Conference (ENERGYCON)

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Abstract-Grid connected renewable energy systems are becoming popular due to reasons such as rapid escalation of energy prices, depletion of fossil fuel resources and pollutant emitted by conventional energy sources. Therefore, technologies for incorporating renewable energy technologies into the existing electricity grid needs to be researched more considering the changes in grid architecture. This study presents a novel method for optimum design and control of an Electric-Hub (EH) which consist of Solar PV panels, wind turbines, battery bank operating in a grid (low voltage) integrated mode. This study reports the simulation based optimization algorithm developed to obtain optimum system configuration and operation strategy considering two conflicting objectives; i.e. Levelized Energy Cost (LEC) and Leveliyed CO2 emission (LCO2). A detail energy flow model is developed to evaluate energy flow through wind turbines and SPV panels on hourly basis. Interaction with the battery bank and the Low-Voltage Grid (LVG) is determined using an expert system. Operating state of the system is determined based on renewable energy generation, Cost of Electricity (COE) in the LVG, state of charge of the battery bank. Subsequently, operating states of the expert system and configuration of the EH; i.e. type and capacity of SPV panels, wind turbines and battery bank is optimized using steady state ε-multi objective optimization technique. Seven Pareto solutions are selected at the end and analyzed the system configuration and control strategy.

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A stochastic framework for uncertainty analysis in electric power transmission systems with wind generation

Cited by 45 publications

References 24 publications

Electrical hubs: An effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid

Electrical hubs: An effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid

Estimation of rare event probabilities in power transmission networks subject to cascading failures

Optimum design and control of grid integrated electrical hubs considering lifecycle cost and emission

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