Decomposition–coordination strategy to improve power transfer capability of interconnected systems

Kim, M.K.; Hur, Don

doi:10.1016/j.ijepes.2011.06.028

Cited by 10 publications

(10 citation statements)

References 27 publications

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“…A line outage contributing to the divergence of power flow solution will not be included in this analysis. 4) Use (24) to determine the minimum value of system damping ratio, , occurred at the dominant rotor angle mode of or [18]. Section III divulges on the main concept of which represents as the eigenvalue, [13].…”

Section: Linearization Of Components Modelmentioning

confidence: 99%

“…Section III divulges on the main concept of which represents as the eigenvalue, [13]. The is composed with the real and imaginary components of required for calculating the : (24) 5) Repeat the procedure from step 1) until step 4) with the intention to record the minimum emerged at the dominant rotor angle mode of for each line outage. 6) Rearrange the list of transmission line corresponding to the minimum sorted in an ascending order.…”

Section: Linearization Of Components Modelmentioning

confidence: 99%

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A Novel Approach of Rescheduling the Critical Generators for a New Available Transfer Capability Determination

Othman

Busan²

2016

IEEE Trans. Power Syst.

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The transition to a deregulated electric power system industry has created a highly competitive electricity market with immense power transfer activity performed between the market participants. A poorly-damped oscillation of small-signal instability is usually imminent during a stress power system condition attributed by the base case power transfer or available transfer capability (ATC) compounded with an outage of critical line. The contingency ranking by means of lowest damping ratio is introduced so that execution of the most critical line outage will incite to a poorly-damped oscillation during the base case ATC. The rescheduling of few critical generators determined by using the normalized participation factor is presented in this paper as a novel, non-intricate and cost-effective solution for estimating a new value of ATC while ensuring a secure power system operating condition. Sturdiness of the proposed method is verified through comparison with the weighted-average sensitivity of stability index required for rescheduling the critical generators performed in a case study of 39-bus New England system. Comparative study on the results of cost minimization in generators rescheduling has also been done based on the critical generators selected by the two methods.Index Terms-Available transfer capability, contingency ranking by means of lowest damping ratio, critical generators rescheduling, normalized participation factor, small-signal instability.

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Section: Linearization Of Components Modelmentioning

confidence: 99%

Section: Linearization Of Components Modelmentioning

confidence: 99%

A Novel Approach of Rescheduling the Critical Generators for a New Available Transfer Capability Determination

Othman

Busan²

2016

IEEE Trans. Power Syst.

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“…The transfer capacity is the maximum amount of energy that can flow from one bidding area to another [37]. The system operator determines the trading capacities for each hour of the day and receives income from market splitting.…”

Section: Lmp Forecastingmentioning

confidence: 99%

A New Approach to Short-term Price Forecast Strategy with an Artificial Neural Network Approach: Application to the Nord Pool

Kim¹

2015

Journal of Electrical Engineering and Technology

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-In new deregulated electricity market, short-term price forecasting is key information for all market players. A better forecast of market-clearing price (MCP) helps market participants to strategically set up their bidding strategies for energy markets in the short-term. This paper presents a new prediction strategy to improve the need for more accurate short-term price forecasting tool at spot market using an artificial neural networks (ANNs). To build the forecasting ANN model, a threelayered feedforward neural network trained by the improved Levenberg-marquardt (LM) algorithm is used to forecast the locational marginal prices (LMPs). To accurately predict LMPs, actual power generation and load are considered as the input sets, and then the difference is used to predict price differences in the spot market. The proposed ANN model generalizes the relationship between the LMP in each area and the unconstrained MCP during the same period of time. The LMP calculation is iterated so that the capacity between the areas is maximized and the mechanism itself helps to relieve grid congestion. The addition of flow between the areas gives the LMPs a new equilibrium point, which is balanced when taking the transfer capacity into account, LMP forecasting is then possible.The proposed forecasting strategy is tested on the spot market of the Nord Pool. The validity, the efficiency, and effectiveness of the proposed approach are shown by comparing with time-series models

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“…The paradigm change of power systems has created a need to modify traditional power systems for efficient energy supply [1]. The use of high voltage direct current (HVDC) transmission systems allows for power transfer over longer distances with lower losses and improved power system controllability, and such systems are expected to become an essential technology in integrating renewable energy sources as transmission system backups [2].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Scheduling Optimization Based on a Modified Non-Dominated Sorting Genetic Algorithm-II in Voltage Source Converter−Multi-Terminal High Voltage DC Grid-Connected Offshore Wind Farms with Battery Energy Storage Systems

Kim

2017

Energies

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Improving the performance of power systems has become a challenging task for system operators in an open access environment. This paper presents an optimization approach for solving the multi-objective scheduling problem using a modified non-dominated sorting genetic algorithm in a hybrid network of meshed alternating current (AC)/wind farm grids. This approach considers voltage and power control modes based on multi-terminal voltage source converter high-voltage direct current (MTDC) and battery energy storage systems (BESS). To enhance the hybrid network station performance, we implement an optimal process based on the battery energy storage system operational strategy for multi-objective scheduling over a 24 h demand profile. Furthermore, the proposed approach is formulated as a master problem and a set of sub-problems associated with the hybrid network station to improve the overall computational efficiency using Benders' decomposition. Based on the results of the simulations conducted on modified institute of electrical and electronics engineers (IEEE-14) bus and IEEE-118 bus test systems, we demonstrate and confirm the applicability, effectiveness and validity of the proposed approach.

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Decomposition–coordination strategy to improve power transfer capability of interconnected systems

Cited by 10 publications

References 27 publications

A Novel Approach of Rescheduling the Critical Generators for a New Available Transfer Capability Determination

A Novel Approach of Rescheduling the Critical Generators for a New Available Transfer Capability Determination

A New Approach to Short-term Price Forecast Strategy with an Artificial Neural Network Approach: Application to the Nord Pool

Multi-Objective Scheduling Optimization Based on a Modified Non-Dominated Sorting Genetic Algorithm-II in Voltage Source Converter−Multi-Terminal High Voltage DC Grid-Connected Offshore Wind Farms with Battery Energy Storage Systems

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