Under-Frequency Load Shedding in Mongolia: Simulation Assessment Considering Inertia Scenarios

Adiyabazar, Choidorj; Acosta, Martha N.; González-Longatt, Francisco; Rueda, José L.; Pálenský, Peter

doi:10.1109/isie45063.2020.9152584

Cited by 8 publications

(6 citation statements)

References 7 publications

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“…Te IEEE-39 bus system is excited by disconnecting the generator G06 producing a UF event. Te frequency response indicators (f min , t min , and f ss ) [33] and the total amount of LS ( 􏽢 P) are used to illustrate and assess the performance of the UFLS scheme using (i) the conventional UFLS approach, (ii) optimal UFLS approach solved by the PSO algorithm, and (iii) optimal UFLS approach solved by the IHS algorithm. Te frequency response is depicted in Figure 11, and Table 5 summarizes the frequency response indicators as well as the total amount of load disconnected ( 􏽢 P).…”

Section: Assessing the Performance Of The Proposed Optimallymentioning

confidence: 99%

Improved Harmony Search Algorithm to Compute the Underfrequency Load Shedding Parameters

Riquelme-Dominguez

Acosta

González-Longatt

et al. 2022

International Transactions on Electrical Energy Systems

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The power system continuously deals with frequency fluctuations. When a power disturbance occurs, the transmission system operators rely on the underfrequency load shedding (UFLS) scheme to address severe underfrequency (UF) events to maintain the frequency at the permissible level and prevent blackouts. Defining settings of a conventional UFLS scheme is a very complex problem due to the nonlinear nature of the frequency response, and the size of the problem is vast because of the number of UF-relays spread on the power system. The under or over total load disconnection produced by the wrong setting of the UF-relays can create secondary frequency events or even a total blackout. This paper introduces a novel method to compute an optimally parametrized conventional UFLS scheme in specific given operating conditions by formulating it as a constrained problem and using the Improved Harmony Search (IHS) algorithm to solve it. Since there is no previous knowledge of using IHS to solve the UFLS scheme, a numerical parameter sensitivity analysis (PSA) is developed to tune the parameter of the IHS algorithm. The IEEE 39-bus system was modelled in DIgSILENT® PowerFactory™ and used as a test system. The optimally parametrized conventional UFLS methodology presented in this paper reveals superior results against the conventional UFLS scheme, and the suitability of using the IHS algorithm is confirmed.

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Section: Assessing the Performance Of The Proposed Optimallymentioning

confidence: 99%

Improved Harmony Search Algorithm to Compute the Underfrequency Load Shedding Parameters

Riquelme-Dominguez

Acosta

González-Longatt

et al. 2022

International Transactions on Electrical Energy Systems

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“…CES is the largest energy system in Mongolia. The total installed capacity of the CES is 1281 MW [27]. CHPs occupies 83.5% and RES plants occupy 16.5% of the total installed capacity, and the shortage is covered by electricity imported from Russia, which amounts to about 20%.…”

Section: Mongolian Power System and Major Event Of September 2018mentioning

confidence: 99%

Setting and Testing of the Out-of-Step Protection at Mongolian Transmission System

González-Longatt

Adiyabazar²,

Vázquez

2021

Energies

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Modern distance relays have integrated numerous protection functions, including power-swing blocking and out-of-step or pole-slip tripping functions. The main purpose of the power-swing blocking function is to differentiate faults from power swings and block distance or other relay elements from operating during stable or unstable power swings. Most power-swing blocking elements are based on traditional methods that monitor the positive sequence impedance rate. The required settings for the power-swing blocking elements could be difficult to calculate in many applications, particularly those where fast swings can be expected. For these cases, extensive stability studies are necessary to determine the fastest rate of possible power swings. This paper presents a detailed step-by-step method for settings calculation of out-of-step (OOS) protection, both blocking and tripping functions considering a generic two-source system. Then the method is applied to define the protection relay settings installed at the interconnection between the Russian and Mongolian power systems, as it is crucial to feed the demand-rich Mongolian power system. In this paper, a specific impedance method is used for defining the OOS protection settings. This paper innovates by testing the settings using the recordings of the major events of 15 September 2018 in two approaches: hybrid co-simulation and cyber-physical. Both tests have demonstrated the appropriate performance of the proposed settings and proving the proposed methodology works appropriately.

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“…Furthermore, the MPS is composed of nine thermal power plants, three wind power plants, five solar power plants and three hydropower plants. The interconnection between the five RPS of the MPS is through 220 and 110 kV overhead transmission lines [28,29]. CRPS is the most extensive local energy system and is connected to AURPS, ERPS and SRPS through a 110 kV transmission line.…”

Section: Overview Of the Mpsmentioning

confidence: 99%

Optimal Under-Frequency Load Shedding Setting at Altai-Uliastai Regional Power System, Mongolia

et al. 2020

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The Altai-Uliastai regional power system (AURPS) is a regional power system radially interconnected to the power system of Mongolia. The 110 kV interconnection is exceptionally long and susceptible to frequent trips because of weather conditions. The load-rich and low-inertia AURPS must be islanded during interconnection outages, and the under-frequency load shedding (UFLS) scheme must act to ensure secure operation. Traditional UFLS over-sheds local demand, negatively affecting the local population, especially during the cold Mongolian winter season. This research paper proposes a novel methodology to optimally calculate the settings of the UFLS scheme, where each parameter of the scheme is individually adjusted to minimise the total amount of disconnected load. This paper presents a computationally efficient methodology that is illustrated in a specially created co-simulation environment (DIgSILENT® PowerFactoryTM + Python). The results demonstrate an outstanding performance of the proposed approach when compared with the traditional one.

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Under-Frequency Load Shedding in Mongolia: Simulation Assessment Considering Inertia Scenarios

Cited by 8 publications

References 7 publications

Improved Harmony Search Algorithm to Compute the Underfrequency Load Shedding Parameters

Improved Harmony Search Algorithm to Compute the Underfrequency Load Shedding Parameters

Setting and Testing of the Out-of-Step Protection at Mongolian Transmission System

Optimal Under-Frequency Load Shedding Setting at Altai-Uliastai Regional Power System, Mongolia

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