Reducing uncertainty accumulation in wind-integrated electrical grid

Hung, Tzu-Chieh; Chong, John; Chan, Kuei-Yuan

doi:10.1016/j.energy.2017.10.001

Cited by 8 publications

(4 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lina Alhmoud and Bingsen Wang reviewed the present situation of wind-energy reliability analyses [38]. Hung et al proposed a probability-based dispatch strategy for determining energy storage capacity, with consideration of wind and load fluctuation, to improve acceptance of wind power in the grid [39]. Finally, the third stream analyzes the wind power industry from the aspects of industrial chains, and explores ways to increase its competitiveness [40,41].…”

Section: Literature Surveymentioning

confidence: 99%

Overview of Wind Power Industry Value Chain Using Diamond Model: A Case Study from China

et al. 2018

View full text Add to dashboard Cite

Sustainable energy development has gained worldwide attention, in part thanks to the wind power industry value chain that focuses on overall value creation and innovation, especially in China. This paper aims to construct a wind power industry value chain model and comprehensively analyze factors that have significant influences on it using a modified diamond model, which has remained nebulous. Focused on the value-adding effect of constructed value chains, we offer key ideas from different angles. A factor condition lays the foundation of the value chain, and shows that China is experiencing energy structure adjustment in which wind power will play a key role; its resource potential is huge, but with mismatched distribution. Demand conditions reveal an increasing demand for wind but serious wind rejection as well; this is where the value-adding probability exists. Related and support departments collaborate to determine the overall value creation process. Firm strategy, structure, and rivalry are terms that describe possible value-adding subjects considering the wind industry as a whole. Government and opportunity provide robust prices and non-price policies to support value integration, and Technology is an effective factor in cost reduction and value creation as a high value-adding sector. Furthermore, a comparison of wind power industry value chains in China and Japan is conducted. Our findings underscore that a gap exists between actual performance and the expected wind power industry value chain, and corresponding measurements to promote the performance are discussed, including encouraging diversified business models, enhancing R&D and independent innovation, professional cultivation, effectively reducing wind rejection rate, and the full range of government support.

show abstract

Section: Literature Surveymentioning

confidence: 99%

Overview of Wind Power Industry Value Chain Using Diamond Model: A Case Study from China

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Apart from BESS, pumped-hydro-and flywheel-based mechanisms are effective storage systems but lack deployment flexibility for requiring huge space and have lower energy density compared with a BESS of equal size. As a result, past studies on using energy storage for improving wind integration focused on battery operation modelling [7,8] and its optimum sizing [9][10][11] and location [12]. In addition to BESS, the dynamic thermal rating (DTR) system is often used on lines connecting wind farms and power networks to enhance the lines' power delivery capacity such that more wind power can be injected into the network, resulting in less wind curtailment [13].…”

Section: Introductionmentioning

confidence: 99%

Integration of Wind and Demand Response for Optimum Generation Reliability, Cost and Carbon Emission

2020

View full text Add to dashboard Cite

Integrating wind power with existing generation systems is one of the most important ways to decarbonise the power sector industry. However, integration must be considered in tandem with its effects towards the adequacy of power supply mainly due to the intermittency of wind. Costs of generators and reliability and carbon emission levels of new wind-integrated generation systems have to be considered. The diversity of demand levels by various load sectors presents an additional pressure on the adequacy of generation system, which should be considered during wind integration. Demand response is effective in relieving the load demands and reducing the number of peaks, but rescheduling energy usage incurs cost to utilities, which should be considered when it is used to aid the integrations of wind power. In this paper, a holistic methodology for optimising the integration of wind power in generation systems is proposed by considering all these factors. Multiple objectives of this optimisation are solved altogether when determining the solution considering their conflicting relationships. Analyses are based on practical data obtained from several real cases. Formulations of the optimisation objectives are generic enough to be useful in other

show abstract

“…There are several studies focusing on optimizing the integration of RE and ESS and our surveys reveal that most of them are wind energy centric [22]- [34] and only a handful are on solar energy [35]- [37]. Among these studies, [29], [30], [33], [35], [37] modelled the integration based on the reliability of generation and transmission network and, [23]- [25], [27], [34], [36] expanded the work by adding the economic factor, which critically influence the overall socio-economic benefit of the model. Different algorithms such as harmony search (HS), simulated annealing (SA) and Tabu search have been used to solve the above optimizations due to the conflicting objectives of minimizing RE's operation cost and load curtailment [38]- [41].…”

Section: Introductionmentioning

confidence: 99%

“…Nonetheless, all the studies mentioned above have collectively demonstrated the technological advantage of the BESS over other technologies in enhancing the penetration of RE. In summary, these studies focus on optimizing the capacity-cost ratio [23], [30], [37], [42], [43], installation site [22], [32] and the usage-lifetime cycle [27] of the BESS that is the most beneficial for utilities and RE operators.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of Solar/Wind Penetration in Power Generation Systems

2019

View full text Add to dashboard Cite

Integrations of renewable energies, particularly solar and wind, are increasing worldwide due to carbon emission reduction efforts and maturing technologies that have driven down the cost of their energy productions. Due to the intermittency of these renewable sources, the battery energy storage system often coexists alongside solar/wind energy systems. Integrating these two aspects into power systems requires the consideration of reliability, social wellbeing and environmental factors, which collectively form a multi-objective optimization problem that this paper aims to solve with the non-dominated sorting genetic algorithm. The proposed method is able to find optimum solutions that are equally beneficial to all factors -Pareto front -without being heavily biased to any one of them. The proposed method is separated into two parts by first optimizing the penetration of solar/wind energy, followed by the optimization of the energy storage capacity in the second part. The fuzzy decision making method is utilized to select a preferred solution from the Pareto front based on the assignment of the membership function values to reflect operator's preferences. The proposed method was implemented on the IEEE Reliability Test System overlaid with the real sampled weather data. The proposed objectives in the optimization problem are also practical and useful for the expansion of generation systems.

show abstract

Reducing uncertainty accumulation in wind-integrated electrical grid

Cited by 8 publications

References 11 publications

Overview of Wind Power Industry Value Chain Using Diamond Model: A Case Study from China

Overview of Wind Power Industry Value Chain Using Diamond Model: A Case Study from China

Integration of Wind and Demand Response for Optimum Generation Reliability, Cost and Carbon Emission

Multi-Objective Optimization of Solar/Wind Penetration in Power Generation Systems

Contact Info

Product

Resources

About