A New Design of the Objective Function for the Optimal Allocation of Distributed Generation with Short-Circuit Currents

Son, Seungwan; Lee, Donghyeon; Kim, Insu; Jung, Chang-Hyeon; Kim, Hyoungkwon; Yoon, Dang‐Hyok; Lee, Joohan

doi:10.1007/s42835-021-00978-0

Cited by 2 publications

(3 citation statements)

References 21 publications

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“…Unlike the conventional equation method, the index of nonzero elements of the augmented matrix is also very simple, because it is essentially a repetition of Jacobian matrix index [10,11]. e conditional analysis of system (10) shows that if the singular value of J is as follows:…”

Section: Solution By the Augmented Matrixmentioning

confidence: 99%

“…erefore, there is basically no change in the number of states of the system compared with the original equation (10). Assuming that the standard deviation of all measurement errors σ is the same, it does not affect the generality of the analysis.…”

Section: Solution By the Augmented Matrixmentioning

confidence: 99%

“…The matrix can be constructed immediately from the original Jacobian matrix and the error covariance matrix, avoiding any arithmetic operation. Unlike the conventional equation method, the index of nonzero elements of the augmented matrix is also very simple, because it is essentially a repetition of Jacobian matrix index [ 10 , 11 ]. The conditional analysis of system ( 10 ) shows that if the singular value of J is as follows:

…”

Section: State Estimation Model Of the Regional Power Gas-integrated ...mentioning

confidence: 99%

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Economic Operation of the Regional Integrated Energy System Based on Particle Swarm Optimization

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Aiming at the problems of single planning technology and relatively few resource types in the process of regional comprehensive energy system planning at the current stage, this paper proposes a method based on the construction of regional comprehensive energy system planning and the operation model. Through the integration of the particle swarm optimization algorithm, this method can better realize the optimization and economic operation of the regional comprehensive energy system and build a system optimization mode based on two stages of planning and operation to pursue the optimal configuration of system equipment. Through the simulation algorithm, it is found that the solution time of the traditional basic particle swarm optimization algorithm is 10.49s, while the average solution time of the particle swarm optimization system proposed in this study is 7.93s; the efficiency is increased by 24.4%, and the system operation efficiency is significantly improved, providing theoretical and technical guidance for the economic operation of the regional comprehensive energy system.

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Section: Solution By the Augmented Matrixmentioning

confidence: 99%

Section: Solution By the Augmented Matrixmentioning

confidence: 99%

…”

Section: State Estimation Model Of the Regional Power Gas-integrated ...mentioning

confidence: 99%

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Economic Operation of the Regional Integrated Energy System Based on Particle Swarm Optimization

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Computational Intelligence and Neuroscience

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Microbial Growth Rate Identification and Optimization System Based on Matrix Decomposition Algorithm

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A New Design of the Objective Function for the Optimal Allocation of Distributed Generation with Short-Circuit Currents

Cited by 2 publications

References 21 publications

Economic Operation of the Regional Integrated Energy System Based on Particle Swarm Optimization

Economic Operation of the Regional Integrated Energy System Based on Particle Swarm Optimization

Microbial Growth Rate Identification and Optimization System Based on Matrix Decomposition Algorithm

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