A Mathematical Approach to Simultaneously Plan Generation and Transmission Expansion Based on Fault Current Limiters and Reliability Constraints

Refaat, Mohamed M.; Aleem, Shady H. E. Abdel; Atia, Yousry; Ali, Ziad M.; El-Shahat, Adel; Sayed, Mahmoud M.

doi:10.3390/math9212771

Cited by 16 publications

(12 citation statements)

References 33 publications

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“…The values of T op pri must be restricted in order to obtain such fault clearances. The restriction criteria for this optimal time of operation are shown in Equation (7). 0.2 ≤ T op pri ≤ 0.9 ( 7 )…”

Section: Relay Setting and Coordination Constraintsmentioning

confidence: 99%

“…N (P L ) indicates the number of candidate locations for the installation of FCL. The constraints of DOCRs are stated in Equations ( 4)- (7). So, the FCL constrains are:…”

Section: Fcl Cost Optimizationmentioning

confidence: 99%

“…The outcomes are evaluated with those of the analytical particle swarm optimization (PSO) approach. In [7], a reliability constrained planning method is proposed for the addition of energy from renewable sources and transmission expansion. The method considers the placement and sizing of FCLs as well as N −1 security.…”

Section: Introductionmentioning

confidence: 99%

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Optimal overcurrent relay coordination: Balancing costs, time performance and generator placement in fault current limiter optimization

Mohamedshareef,

Abapour,

Hosseini

et al. 2024

IET Generation Trans & Dist

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The integration of synchronous generators (SG) to the grid will present serious problems in some instances. The increase in fault current level is one of the most crucial issues, which causes miscoordination between directional over current relays (DOCRs), in addition to putting excessive pressure on the circuit breakers. This research uses the Fault Current Limiters (FCL) to restore coordination, without changing the settings of DOCRs, by reducing the level of fault current in the grid. The main goal of this research is to find the optimal size, location, and number of FCLs at the minimum cost and with the least operation time for the relays, using Jellyfish Search Optimisation (JSO) algorithm. This can be achieved through three different approaches. The first one is optimizing the location, number, and impedance size of the FCL by minimising a cost function. The second approach involves optimizing the backup relay operation time. A combination of the two previous approaches is used as the third approach. The outstanding feature of this research is that it considers the optimal location of DG and FCL while optimizing the operation times of DOCRs, which is a new framework.

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Section: Relay Setting and Coordination Constraintsmentioning

confidence: 99%

“…N (P L ) indicates the number of candidate locations for the installation of FCL. The constraints of DOCRs are stated in Equations ( 4)- (7). So, the FCL constrains are:…”

Section: Fcl Cost Optimizationmentioning

confidence: 99%

See 1 more Smart Citation

Optimal overcurrent relay coordination: Balancing costs, time performance and generator placement in fault current limiter optimization

Mohamedshareef,

Abapour,

Hosseini

et al. 2024

IET Generation Trans & Dist

View full text Add to dashboard Cite

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“…The first stream of research concentrates on suppressing different short-circuit levels in the transmission grids [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22]. In [8], the short-circuit level constraint was linearly modelled to restrict fault currents passing through the transmission grid buses below a prescribed safety threshold.…”

Section: Literature Review and Research Gapsmentioning

confidence: 99%

Multistage AC transmission expansion planning including fault current‐limiting high‐temperature superconducting cables and multiple distributed generations to improve short‐circuit level and grid‐scale flexibility

Shivaie,

Artis,

Padmanaban

2024

IET Generation Trans & Dist

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This paper proposes a new multistage AC model for transmission expansion planning that finds an optimal combination of transmission lines, fault current‐limiting high‐temperature superconducting cables, and multiple distributed generations (DGs). On this basis, the proposed model, from a new perspective, allows for simultaneous improvement of the short‐circuit level and grid‐scale flexibility (GFLX) under both normal and fault conditions. The objective function to be minimized includes not only the net present worth of the total investment and operation costs but also the congestion‐induced GFLX degradation measure. This model also takes the AC power balance and flow relationships, equipment capacity limits, nodal voltage bounds, DG penetration level limit, as well as discrete logical and financial restrictions together into account with the short‐circuit level constraint. To overcome the complexity of solving the resultant non‐convex mixed‐integer non‐linear optimization problem, a multi‐objective integer‐coded melody search algorithm is employed, followed by a fuzzy satisfying decision‐making mechanism to obtain the final optimal solution. The exhaustive case studies conducted on the IEEE 24‐ and 118‐bus test systems verify the efficacy of the newly developed model in terms of cost‐effectiveness, flexibility, and short‐circuit level suppression when facing different normal and fault conditions.

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“…Only the 10-unit system case is considered under random load, which is distributed over two values known as the mean and standard deviations (µ and σ) [45]. Table 10 involves typical values for µ and σ of the load [45][46][47][48].…”

Section: Performance Of Mpso-eo For Test Systemmentioning

confidence: 99%

A Hybrid Optimization Algorithm for Solving of the Unit Commitment Problem Considering Uncertainty of the Load Demand

et al. 2021

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Unit commitment problem (UCP) is classified as a mixed-integer, large combinatorial, high-dimensional and nonlinear optimization problem. This paper suggests solving the UCP under deterministic and stochastic load demand using a hybrid technique that includes the modified particle swarm optimization (MPSO) along with equilibrium optimizer (EO), termed as MPSO-EO. The proposed approach is tested firstly on 15 benchmark test functions, and then it is implemented to solve the UCP under two test systems. The results are basically compared to that of standard EO and previously applied optimization techniques in solving the UCP. In test system 1, the load demand is deterministic. The proposed technique is in the best three solutions for the 10-unit system with cost savings of 309.95 USD over standard EO and for the 20-unit system it shows the best results over all algorithms in comparison with cost savings of 1951.5 USD over standard EO. In test system 2, the load demand is considered stochastic, and only the 10-unit system is studied. The proposed technique outperforms the standard EO with cost savings of 40.93 USD. The simulation results demonstrate that MPSO-EO has fairly good performance for solving the UCP with significant total operating cost savings compared to standard EO compared with other reported techniques.

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A Mathematical Approach to Simultaneously Plan Generation and Transmission Expansion Based on Fault Current Limiters and Reliability Constraints

Cited by 16 publications

References 33 publications

Optimal overcurrent relay coordination: Balancing costs, time performance and generator placement in fault current limiter optimization

Optimal overcurrent relay coordination: Balancing costs, time performance and generator placement in fault current limiter optimization

Multistage AC transmission expansion planning including fault current‐limiting high‐temperature superconducting cables and multiple distributed generations to improve short‐circuit level and grid‐scale flexibility

A Hybrid Optimization Algorithm for Solving of the Unit Commitment Problem Considering Uncertainty of the Load Demand

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