Optimal dispatch using moth‐flame optimization for hydro‐thermal‐wind scheduling problem

Hazra, Sunanda; Roy, Provas Kumar

doi:10.1002/2050-7038.12460

Cited by 24 publications

(18 citation statements)

References 57 publications

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“…With these features, for example, compared with other metaheuristic methods, MFO yielded better results in economic dispatch problems [29], [30], software fault prediction datasets [31], and energy efficient modeling for assembly sequence planning [32]. Moreover, MFO was modified and improved for gaining better performances applied to solve problems as discussed in [33]- [40].…”

Section: Introductionmentioning

confidence: 99%

Short-Term Operational Scheduling of Unit Commitment Using Binary Alternative Moth-Flame Optimization

Kigsirisin

Miyauchi

2021

IEEE Access

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This study proposes a novel binary optimization method for solving unit commitment (UC) problems. Developed from moth-flame optimization (MFO), the proposed method is called binary alternative MFO (BAMFO). Originally, each MFO moth is restricted to fly toward a predetermined flame (solution), causing it to be trapped in the local optimum of that flame and reducing its performance. To address these drawbacks, BAMFO represents four alternative characteristics for moths to discover better flames all over the search space. The exploration and exploitation performances of BAMFO via these characteristics are balanced by a random parameter competing with the criteria of each characteristic. A repair strategy working with the priority list is created to adjust any unit status from the BAMFO simulation to satisfy all UC constraints. Then, Lambda-iteration method is adopted to solve economic dispatch problems. The proficiency of BAMFO is verified in various scales of unit systems for short-term operational scheduling. The results show that BAMFO yields better solutions than do other methods. The Wilcoxon signed rank test was conducted to prove the predominance of BAMFO.

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Section: Introductionmentioning

confidence: 99%

Short-Term Operational Scheduling of Unit Commitment Using Binary Alternative Moth-Flame Optimization

Kigsirisin

Miyauchi

2021

IEEE Access

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“…The generation of wind energy from wind is uncertain due to the variation in wind speed. [20][21][22] The wind speed can be predicted using probability density function (1) as follows 23 :…”

Section: Wind Power Generation and Its Generation Costmentioning

confidence: 99%

Implementation of multi‐objective chaotic mayfly optimisation for hydro‐thermal ‐ solar‐wind scheduling based on available transfer capability problem

Majumdar

Roy

Banerjee

2021

Int Trans Electr Energ Syst

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The electrical power generation from conventional thermal power plants needs to be interconnected with natural resources like solar, wind, hydro units with all-day planning, and operation strategies to save mother nature and meet the current electricity demand. The complexity and size of the power network are increasing rapidly day by day. The enhanced power transfer from one section to another section in the existing grid system is the subject of available transfer capability (ATC), which is the modern power system's critical factor.

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“…Some heuristic algorithms are also utilized for this problem. 25 However, the guarantee of relative independence among regions is not fully addressed by the above studies. Important practical constraints like tie-line flow variation range, ramping rate, and the maximum number of changes in flows are not represented by most of the above studies.…”

Section: Introductionmentioning

confidence: 99%

A two‐step tie‐line scheduling method considering variable renewable energy variations

Qiao

Zhang

et al. 2021

Int Trans Electr Energ Syst

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A promising way to promote variable renewable energy (VRE) integration is to enable more power transmission through tie-lines between distant areas. Practically, because of the dispatching independence of regions, tie-line flows need to be carefully scheduled. The daily energy transmitted follows the daily mean load with a limited variation. Moreover, within a day, the tie-line flow's variation range, its ramping rate, and the number of changes in flows should be limited. Thus, current tie-line scheduling fixes transmission power to relatively constant levels, failing to fit VRE variations and further restricting VRE accommodations. This paper proposes a two-step tie-line scheduling method to promote VRE accommodations by considering VRE variations and above practical constraints, while also considering the cost of the system for providing flexibility. Regarding VRE's daily variability, the annual energy transmission plan between regions is decomposed into daily plans based on both VRE generation and load. For VRE's intraday variability, a dispatch model determining tie-line flows is built with constraints on tie-line flow's variation range, ramping rate, and change numbers. In addition, the regulation costs involving generator deep peak shaving cost and generator ramping cost are modeled with binary variables and included. Numerical studies for Chinese provincial systems show that the regulation costs account for 9% of the total cost and the VRE consumption increases by 8.6% while the cost reduces by 9.5%.

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Optimal dispatch using moth‐flame optimization for hydro‐thermal‐wind scheduling problem

Cited by 24 publications

References 57 publications

Short-Term Operational Scheduling of Unit Commitment Using Binary Alternative Moth-Flame Optimization

Short-Term Operational Scheduling of Unit Commitment Using Binary Alternative Moth-Flame Optimization

Implementation of multi‐objective chaotic mayfly optimisation for hydro‐thermal ‐ solar‐wind scheduling based on available transfer capability problem

A two‐step tie‐line scheduling method considering variable renewable energy variations

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