Advanced Applications and Methodologies in Mathematical Optimization and Operations Research: Insights into Linear Programming, Nonlinear Programming, and Decision-Making Frameworks DOI

Kaya Tunçel

Human computer interaction., Journal Year: 2024, Volume and Issue: 8(1), P. 5 - 5

Published: Nov. 11, 2024

Mathematical optimization and operations research are pivotal disciplines in solving complex decision-making problems across industries. This delves into advanced methodologies within these fields, with a focus on linear programming (LP), nonlinear (NLP), their applications optimizing processes resource allocation. Linear programming, its capacity to model solve large-scale problems, remains cornerstone for optimization, particularly logistics, finance, manufacturing. Nonlinear characterized by ability handle complex, real-world systems non-convex functions, expands the scope of include dynamic intricate challenges such as energy management machine learning. study investigates state-of-the-art algorithms, including interior-point methods, dual simplex techniques, gradient-based approaches, enhance efficiency accuracy solutions. By addressing theoretical advancements practical implementations, this bridges gap between mathematical rigor applications. The insights gained expected contribute significantly operational efficiency, strategic planning, diverse fields.

Language: Английский

Optimizing economic dispatch problems in power systems using manta ray foraging algorithm: an oppositional-based approach DOI
S.R. Spea

Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 117, P. 109279 - 109279

Published: May 9, 2024

Language: Английский

Citations

5
Exploring the Orca Predation Algorithm for Economic Dispatch Optimization in Power Systems DOI Creative Commons

Vivi Aida Fitria,

Arif Nur Afandi,

Aripriharta Aripriharta

et al.

BenchCouncil Transactions on Benchmarks Standards and Evaluations, Journal Year: 2025, Volume and Issue: unknown, P. 100187 - 100187

Published: Jan. 1, 2025

Language: Английский

Citations

0
A swank raccoon yin yang pair optimization (RYi-YaP) model for solving economic load dispatch (ELD) and combined emission dispatch (CED) problems DOI

Pitchala Vijaya Kumar,

C. Shilaja

Computers & Electrical Engineering, Journal Year: 2025, Volume and Issue: 123, P. 110149 - 110149

Published: Feb. 21, 2025

Language: Английский

Citations

0
An Analysis to Identify the Key Factors in Power System Planning: The Case of Mexico DOI Creative Commons
Ulises Hernandez-Hurtado, Joselito Medina-Marín, Juan Carlos Seck-Tuoh-Mora

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(6), P. 1316 - 1316

Published: March 7, 2025

COP21 represents a starting point for several nations to develop and implement energy transition strategies face mitigate climate change, making the electrical power sector crucial in achieving established goals commitments. This research presents an analysis identify key factors system planning by integrating economic dispatch model (ED) based on linear programming determine vulnerable aspects of generation transmission strategic scenarios that could jeopardize country’s transition. The is illustrated through case study Mexican Electrical Power System (SEN) during year 2025. shows reserve margin fluctuated due variable renewable installed despite having vast capacity supply total demand. In addition, results showed most lines had congestion frequency higher than 90% their year. Two regions were identified as best options reducing greenhouse gas emissions installing new plants. Finally, technologies reflected under-generation, suggesting high dependence some fuels model’s freely available GitHub.

Language: Английский

Citations

0
Comparative Performance Evaluation of Economic Load Dispatch Using Metaheuristic Techniques: A Practical Case Study for Bangladesh DOI Creative Commons

Sumaiya Janefar,

Prangon Chowdhury, Rahbaar Yeassin

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104720 - 104720

Published: March 1, 2025

Language: Английский

Citations

0
Cost-effective economic dispatch in large-scale power systems using enhanced manta ray foraging optimization DOI Creative Commons
S.R. Spea

Neural Computing and Applications, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

Language: Английский

Citations

0
Integrating an Ensemble Reward System into an Off-Policy Reinforcement Learning Algorithm for the Economic Dispatch of Small Modular Reactor-Based Energy Systems DOI Creative Commons
Athanasios Ioannis Arvanitidis, Miltiadis Alamaniotis

Energies, Journal Year: 2024, Volume and Issue: 17(9), P. 2056 - 2056

Published: April 26, 2024

Nuclear Integrated Energy Systems (NIES) have emerged as a comprehensive solution for navigating the changing energy landscape. They combine nuclear power plants with renewable sources, storage systems, and smart grid technologies to optimize production, distribution, consumption across sectors, improving efficiency, reliability, sustainability while addressing challenges associated variability. The integration of Small Modular Reactors (SMRs) in NIES offers significant benefits over traditional facilities, although transferring involves overcoming legal operational barriers, particularly economic dispatch. This study proposes novel off-policy Reinforcement Learning (RL) approach an ensemble reward system dispatch nuclear-powered generation companies equipped SMR, demonstrating superior accuracy efficiency when compared conventional methods emphasizing RL’s potential improve profitability sustainability. Finally, research attempts demonstrate viability implementing proposed integrated RL spot markets maximize profits nuclear-driven companies, establishing NIES’ competitors that rely on fossil fuel-based units meet baseload requirements.

Language: Английский

Citations

2
A Dual Bisection Approach to Economic Dispatch of Generators With Prohibited Operating Zones DOI Creative Commons
Lucrezia Manieri, Alessandro Falsone, Maria Prandini

et al.

IEEE Control Systems Letters, Journal Year: 2024, Volume and Issue: 8, P. 1547 - 1552

Published: Jan. 1, 2024

We address economic dispatch of power generators with prohibited operating zones. The problem can be formulated as an optimization program a quadratic cost, non-convex local constraints, and scalar coupling constraint accounting for load demand losses. A duality-based resolution approach integrating bisection iterative scheme is proposed to reduce computational complexity while guaranteeing finite time feasibility the primal iterates cost improvement throughout iterations. Extensive simulations show that outperforms state-of-the-art competitors consistently computes feasible solutions close-to-zero optimality gap at low cost.

Language: Английский

Citations

2
Optimizing Economic Dispatch with Renewable Energy and Natural Gas Using Fractional-Order Fish Migration Algorithm DOI Creative Commons
Abdallah Aldosary

Fractal and Fractional, Journal Year: 2024, Volume and Issue: 8(6), P. 350 - 350

Published: June 12, 2024

This work presents a model for solving the Economic-Environmental Dispatch (EED) challenge, which addresses integration of thermal, renewable energy schemes, and natural gas (NG) units, that consider both toxin emission fuel costs as its primary objectives. Three cases are examined using IEEE 30-bus system, where thermal units (TUs) replaced with NGs to minimize emissions costs. The system constraints include equality inequality conditions. A detailed modeling is performed, also incorporates pressure pipelines flow velocity procedure limitations. To obtain Pareto optimal solutions emissions, three optimization algorithms, namely Fractional-Order Fish Migration Optimization (FOFMO), Coati Algorithm (COA), Non-Dominated Sorting Genetic (NSGA-II) employed. investigated validate effectiveness proposed when applied sources (RESs) units. results from Case III, installed in place two (TUs), demonstrate economic dispatching approach presented this study significantly reduces levels 0.4232 t/h achieves lower cost 796.478 USD/MWh. Furthermore, findings indicate FOFMO outperforms COA NSGA-II effectively addressing EED problem.

Language: Английский

Citations

2
A Multiparadigm Approach for Generation Dispatch Optimization in a Regulated Electricity Market towards Clean Energy Transition DOI Creative Commons

Suroso Isnandar,

Jonathan F. Simorangkir, Kevin Marojahan Banjar-Nahor

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(15), P. 3807 - 3807

Published: Aug. 2, 2024

In Indonesia, the power generation sector is primary source of carbon emissions, largely due to heavy reliance on coal-fired plants, which account for 60% electricity production. Reducing these emissions essential achieve national clean energy transition goals. However, achieving this initiative requires careful consideration, especially regarding complex interactions among multiple stakeholders in Indonesian market. The market Indonesia characterized by its non-competitive and heavily regulated structure. This condition often PLN, as system operator, address multi-objective multi-constraint problems, necessitating optimization dispatch scheduling scheme ensure a secure, economical, low-carbon operation. research introduces multiparadigm approach GS support energy. integrates multi-agent dynamic paradigms model, simulate, quantitatively analyze was implemented Java–Madura–Bali using AnyLogic 8 University Researcher Software. simulation results demonstrate that policy reduces system’s while increasing cost electricity. A linear regression sensitivity analysis conducted determine relationship between policies offers valuable insights policymakers develop an optimal, acceptable, reasonable operation all

Language: Английский

Citations

1