A composite metric for assessing flexibility available in conventional generators of power systems

Oree, Vishwamitra; Hassen, S. Z. Sayed

doi:10.1016/j.apenergy.2016.05.138

Cited by 54 publications

(43 citation statements)

References 33 publications

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“…The flexible technical characteristics of the TPU are mainly constrained in both time and output. In reference [8], eight indicators, namely, the operating range, ramping capabilities, start-up and shut-down times, and minimum up and down times of the generator were considered to characterize the technical characteristics of the unit's flexibility. Although [8] analyzed the correlations between the indicators, the continuity of time was ignored.…”

Section: Technical Characteristicsmentioning

confidence: 99%

“…The net load is defined as the residual demand that must be supplied by conventional generation resources after all variable renewable energy generated has been used. To evaluate the PSF, many scholars have proposed corresponding PSF evaluation indicators for different application areas [4][5][6][7][8]. The literature [5] divides the PSF into the upward adjustment flexibility and the downward adjustment flexibility, and a performance evaluation index of the insufficient ramping resource expectation (IRRE) system has been defined.…”

Section: Introductionmentioning

confidence: 99%

“…In addition to traditional units, demand-side management, energy facilities, interconnections to neighboring power system, and even, renewable energy sources have the potential to contribute significantly to the overall flexibility of a power system. However, under the existing system's structure and load level, conventional power generation, especially the thermal power unit (TPU), will play a key role in effectively compensating for higher amplitudes and more frequent net load fluctuations [8,[11][12][13]. Thus, it is necessary to quantitatively evaluate the flexibility of the TPU available in the power system.…”

Section: Introductionmentioning

confidence: 99%

“…Reference [15] listed the operating range of each generator and the rate of ramping up and down of each generator to determine the total lifting capacity available per hour in the power system. Literature [8] considered the operating range, ramping capabilities, start-up and shut-down times, and minimum up and down times characteristics of the generator; and used the analytic hierarchy process (AHP) [16] to quantitatively evaluate the flexibility resources of the system. However, these documents only considered the technical characteristics of the TPU and did not take into account the economic characteristics of the TPU and only subjectively judged the flexibility of the TPU.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimal Scheduling of Power System Incorporating the Flexibility of Thermal Units

et al. 2018

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Due to the randomness, volatility and intermittent nature of wind power, power systems with significant wind penetration face serious “curtailment” problems. The flexibility of a power system is an important factor that affects the large-scale consumption of wind power. Based on this fact, this paper takes into account the economics and flexibility of the system, and proposes an optimal scheduling method that takes the flexibility of each thermal power unit into account. Firstly, a comprehensive evaluation index system of thermal power unit flexibility is designed by an analytic hierarchy process and entropy method. The system covers the technical indexes and economic characteristics of thermal power units and is able to quantitatively evaluate the different types of thermal power units in the system. Secondly, a multi-objective optimization scheduling model involving the overall flexibility of the unit and the total power generation cost is established. Finally, the correctness and effectiveness of the proposed indicators and models are verified by a case study.

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Section: Technical Characteristicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimal Scheduling of Power System Incorporating the Flexibility of Thermal Units

et al. 2018

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“…However, this approach does not guarantee flexibility, because the problem can be caused by a shortage in ramping capability (i.e., the ability to change the output of a generating unit in a given period), despite there being sufficient reserve capacity [5,6]. With respect to this problem, some researchers have noted the role of the generating unit in enabling the system to secure flexibility by providing the required ramping capability, which must be the most effective measure to cope with a net load variation [7][8][9][10]. The greater the ramping capability, the stronger the ability of the system to react to unexpected changes in net load; that is, larger and faster units are helpful for coping with the flexibility issue.…”

Section: Introductionmentioning

confidence: 99%

Net Load Carrying Capability of Generating Units in Power Systems

Min

Kim

2017

Energies

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This paper proposes an index called net load carrying capability (NLCC) to evaluate the contribution of a generating unit to the flexibility of a power system. NLCC is defined as the amount by which the load can be increased when a generating unit is added to the system, while still maintaining the flexibility of the system. This index is based on the flexibility index termed ramping capability shortage expectation (RSE), which has been used to quantify the risk associated with system flexibility. This paper argues that NLCC is more effective than effective load carrying capability (ELCC) in quantifying the contribution of the generating unit to flexibility. This is explained using an illustrative example. A case study has been performed with a modified IEEE-RTS-96 to confirm the applicability of the NLCC index. The simulation results demonstrate the effect of operating conditions such as operating point and ramp rate on NLCC, and show which kind of unit is more helpful in terms of flexibility.

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Assessing the Operational Flexibility in Power Systems with Energy Storage Integration

Tziovani

Savva

Asprou

et al. 2020

Lecture Notes in Electrical Engineering

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Increased level of flexibility is essential in power systems with high penetration of renewable energy sources in order to maintain the balance between the demand and generation. Actually, the flexibility provided by energy storage systems and flexible conventional resources (i.e., generating units) can play a vital role in the compensation of the renewable energy sources variability. In this paper, the flexibility of the conventional generating units is quantified and incorporated in a unit commitment model in order to evaluate the impact of different system flexibility levels on the optimal generation dispatch and on the operational cost of the power system. An emerging flexible option such as the battery storage is included in the unit commitment formulation, evaluating the flexibility contribution of the storage and its effect on the system operational cost. In this paper, the flexibility of a real power system is assessed while the unit commitment problem is formulated as a mixed-integer linear program. The results show that the integration of a storage unit in the power generation portfolio provides a significant amount of flexibility and reduces the system operational cost due to the peak shaving and valley filling.

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A composite metric for assessing flexibility available in conventional generators of power systems

Cited by 54 publications

References 33 publications

Optimal Scheduling of Power System Incorporating the Flexibility of Thermal Units

Optimal Scheduling of Power System Incorporating the Flexibility of Thermal Units

Net Load Carrying Capability of Generating Units in Power Systems

Assessing the Operational Flexibility in Power Systems with Energy Storage Integration

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