A Model for Optimizing Spinning Reserve Requirement of Power System Under Low-Carbon Economy

Lu, Siyu; Wu, Yaowu; Lou, Suhua; Yin, Xianggen

doi:10.1109/tste.2014.2325834

Cited by 33 publications

(16 citation statements)

References 14 publications

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“…Nowadays, research on low-carbon benefit assessments is still emerging. Most research findings primarily concentrate on three primary aspects: (1) concepts and analysis methods of low-carbon effects on the power grid [6][7][8], (2) feasible electric low-carbon technologies applied in power system [9][10][11][12][13], and (3) planning and operating targeting the carbon emission reduction [14][15][16][17][18][19]. As for (1), a number of studies have appeared.…”

Section: Modeling and Analysismentioning

confidence: 99%

“…Since the growing importance of the low-carbon in the power system, the researches on (3) planning and operating targeting the carbon emission reduction are emerging. A model for optimizing spinning reserve requirement of power system under low-carbon economy is established in [14]. The reserve capacity planning in [14] is decided considering the low-carbon emission which has not been studied before.…”

Section: Modeling and Analysismentioning

confidence: 99%

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Models and methods for low‐carbon footprint analysis of grid‐connected photovoltaic generation from a distribution network planning perspective

Luo

Zhang

Wei

et al. 2017

Energy Science & Engineering

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Solar energy is a clean energy resource, so the large‐scale deployment of photovoltaic (PV) power generation is of great significance for achieving carbon emission reductions in the electric power industry. This paper proposes models and methods for evaluation of the low‐carbon benefits of grid‐connected PV power generation projects. The carbon emission (or emission reduction) characteristics and the economic benefits of PV generation are analyzed using the following four metrics: generation capacity revenue, PV cost, loss efficiency improvement, and reserve capacity cost. The corresponding low‐carbon benefit models and economic benefit models are then established. By combining the low‐carbon and economic characteristics of photovoltaic power generation, a model is proposed for evaluating the low‐carbon comprehensive benefits (LCBs) of photovoltaic power generation and the concept of a carbon emission payback period (CPP) is put forward. Examples with typical operating data from real‐world applications are used to verify the validity of the models and methods proposed in this paper. The analysis results show that photovoltaic power generation has great potential in terms of low‐carbon comprehensive benefits compared with conventional power generation.

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Section: Modeling and Analysismentioning

confidence: 99%

Section: Modeling and Analysismentioning

confidence: 99%

Models and methods for low‐carbon footprint analysis of grid‐connected photovoltaic generation from a distribution network planning perspective

Luo

Zhang

Wei

et al. 2017

Energy Science & Engineering

View full text Add to dashboard Cite

show abstract

“…approaches [7] are not able to use for renewablebased power systems. In contrast, a branch of probabilistic techniques have been proposed to assess the amount of capacity reserve in a more reliable way [8]. All these techniques, which are based on the PJM approach, can be introduced as efficient methods to evaluate short-term risks.…”

Section: Introductionmentioning

confidence: 99%

Well-Being Approach of a Power System Containing Run-of the-River Power Plants

Khalilzadeh

Fotuhi‐Firuzabad

Ehsan

2017

Adv. Sci. Technol. Res. J.

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Renewable energies especially Run-Of the-River (ROR) power plants are increasingly used for the electricity generation in the power systems. The uncertain and intermittent nature of these plants arisen from variability of water flow, however, has led to some problems in their integration to power systems. Thus, the operating reserve requirement in a power system containing large ROR plants is a main challenge, which has to be addressed properly. In this way, this paper presents an analytical approach to determine the adequate spinning reserve based on the well-being approach during the system operation. The reliability model based on the components failures and uncertainty nature of water flow is introduced for ROR plants operation studies. This approach not only evaluates the interaction between these energies and conventional units, but also determines the contribution that ROR power plants can make in load carrying capability of a power generating system. Two reliability test systems, utilized from water flow data of Sheshpir River in Iran, are examined to demonstrate the effectiveness of the proposed model.

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“…Excessive use of non-renewable fossil fuels is a main cause for concern [1][2][3][4][5][6]. In China, the proportion of thermal power installed capacity has exceeded 70%, and CO 2 emission of thermal power generation accounts for over 95% of the total emission of power industry.…”

Section: Introductionmentioning

confidence: 99%

Low-carbon benefit analysis on DG penetration distribution system

Liu

et al. 2015

J. Mod. Power Syst. Clean Energy

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In response to the severe energy and environmental issues, CO 2 emission reduction and low-carbon development are inevitable. China has become the biggest CO 2 emitter in the world since 2006. As a major CO 2 emission source in China, the power industry is facing greater pressure for carbon emission abatement. By applying various low-carbon power technologies and mechanisms, the potential for CO 2 emission reduction in power systems is considerable. This paper proposes a pseudo-sequential Monte Carlo simulation method for the low-carbon benefit evaluation of distribution system including distributed wind turbines, solar array and battery energy storage systems. The hourly sequential models and state variation models for wind turbines, solar array and battery are established. The non-power components are sequentially sampled and the components of the wind turbine, the solar array and the battery are non-sequentially sampled. The failure modes and effect analysis (FMEA) procedure for the system are discussed and the heuristic load shedding approach is used, then the low-carbon benefit evaluation procedure is illustrated. Based on this, the system state transition sampling method for calculating the loss of expected energy index with high DG penetration is proposed. The state transition models for non-active elements and DGs are established. The validity of the proposed method is demonstrated by a study case. The method can be used for the low-carbon benefit analysis on DG penetration distribution networks.

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A Model for Optimizing Spinning Reserve Requirement of Power System Under Low-Carbon Economy

Cited by 33 publications

References 14 publications

Models and methods for low‐carbon footprint analysis of grid‐connected photovoltaic generation from a distribution network planning perspective

Models and methods for low‐carbon footprint analysis of grid‐connected photovoltaic generation from a distribution network planning perspective

Well-Being Approach of a Power System Containing Run-of the-River Power Plants

Low-carbon benefit analysis on DG penetration distribution system

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