Lagrange Multiplier-Based Optimization for Hybrid Energy Management System with Renewable Energy Sources and Electric Vehicles

Electronics, Journal Year: 2023, Volume and Issue: 12(21), P. 4513 - 4513

Published: Nov. 2, 2023

The issues of energy scarcity and environmental harm have become major priorities for both business human progress. Hence, it is important useful to focus on renewable research efficient utilization distributed sources (DERs). A microgrid (MG) a self-managed system that encompasses these resources as well interconnected consumers. It has the flexibility function in isolated grid-connected configurations. This study aims design an effective method power management MG two operating modes. proposed optimization model seeks strike balance between usage, protecting life batteries, maximizing economic benefits users MG, with consideration real-time electricity price constraints grid. Furthermore, order accurately account dynamic nature not only stationary battery banks used storage systems (ESS) but also built-in batteries electric vehicles (EVs), presented multi-objective, multiparametric constrained problem. solution be found using Lagrange multiplier theory, which helps achieve good performance less computational burden. Lastly, simulation results from modes demonstrate effectiveness designed method.

Language: Английский

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Bi-level optimization configuration method for microgrids considering carbon trading and demand response

Frontiers in Energy Research, Journal Year: 2024, Volume and Issue: 11

Published: Jan. 12, 2024

Under the background of shortage traditional energy and increasingly serious environmental problems, this paper proposes a bi-level optimization configuration method for microgrids based on stepped carbon trading price-based demand response. The mechanism is introduced into planning model to clarify impact construction processes land emissions. Simultaneously, response during system operation introduced, guiding users change electricity consumption strategies promote renewable energy. Then, optimal framework constructed. upper level optimized allocate capacity microgrid, with lowest annual equivalent comprehensive cost as objective function. lower microgrid operation, minimum sum emission In view advantages enhanced whale algorithm (E-WOA) in solving multi-dimensional feature selection E-WOA CPLEX solver are combined solve first time. Simulation results show that after introducing mechanism, emissions decreased by 23.09%. Considering under premise total 3.57% 19.83%.

Language: Английский

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Recent developments of demand‐side management towards flexible DER‐rich power systems: A systematic review

IET Generation Transmission & Distribution, Journal Year: 2024, Volume and Issue: 18(13), P. 2259 - 2300

Published: June 20, 2024

Abstract Recently, various distributed energy resources are significantly integrated into the modern power systems. This introduction of resource‐rich systems can cause quality issues, due to their uncertainties and capacity variations. Therefore, it is crucial establish balance between generation demand improve system's reliability stability minimize costs without sacrificing customers’ comfort or utility. In this regard, system flexibility concept highlighted as a robust cost‐effective management system, especially on side, provide consumers’ demands with an acceptable level quality. Accordingly, here, comprehensive review recent developments in demand‐side strategies response programs provided include mainly classifications, estimation methods, resource modelling approaches, infrastructure requirements, applications. addition, current research topics for applying solutions based operation deliberated. Also, prominent challenges, trends, future perspectives discussed. Finally, article aims be appropriate reference trends general programs, specifically.

Language: Английский

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Artificial Rabbits Optimized Neural Network-Based Energy Management System for PV, Battery, and Supercapacitor Based Isolated DC Microgrid System

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 142411 - 142432

Published: Jan. 1, 2023

This article introduces a method for managing energy in an isolated DC microgrid by utilizing battery and supercapacitor. The approach employs artificial rabbits optimized neural network (ARONN) control system. principal goal of this power management is to meet the demand while ensuring balanced production consumption, along with maintaining stable bus voltage. One notable advantage that its losses are accounted during design modulators, achieved through scheming actual accessible on shared common bus. regulator combines incremental conductance maximum point tracking (MPPT) technique maximizing extraction from PV sources ARONN modulator storage scheme. By effectively controlling flow bus, steadyness voltage maintained minimal error reference also minimizes stress directing low-frequency current higher-frequency efficiency suggested strategies confirmed outcomes obtained simulation.

Language: Английский

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An Extensive Assessment of the Energy Management and Design of Battery Energy Storage in Renewable Energy Systems

WSEAS TRANSACTIONS ON POWER SYSTEMS, Journal Year: 2024, Volume and Issue: 19, P. 146 - 170

Published: May 9, 2024

Many benefits are derivable when renewable energy systems (RES) integrated with battery storage (BESS). However, appropriate management techniques should be adopted to realize optimal benefits. BESS operations’ optimization approaches available in RES various techno-economic, environmental, and dispatch-related outputs. operations optimized using different methods. Past studies have mainly concentrated on certain designed for specific purposes, such as distributed generation or large-scale. This paper thoroughly examines analyzes by considering the relationship between methodology intended application. strategy enables identification of connections favored goals. Some more effective solving economic goal optimizations, whereas others commonly used technical optimizations. The selection solution is also demonstrated highly contingent upon degree mathematical formulation problem. An analysis conducted assess strengths limitations described techniques. conclusion that hybrid approaches, which combine multiple techniques, will significantly impact creation future operating strategies. provides a comprehensive applications, aiming assist researchers efficiently identifying strategies emerging applications new generation.

Language: Английский

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Social welfare maximization with efficient energy management of community microgrid considering customer behavioral response using MDCLPIS

Energy and Buildings, Journal Year: 2024, Volume and Issue: 315, P. 114277 - 114277

Published: May 14, 2024

Language: Английский

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A Novel Consensus-driven Technique for Optimal Power Allocation in Smart Energy Networks Considering Multiple Fueling Feature of Thermal Plants

Published: Dec. 3, 2023

The goal of this research is to devised solution for energy dispatch problem based on consensus-driven method. cost function dispatch, which takes into account several fuel options, typically formulated as a combined model. aforementioned expression subsequently employed develop an incremental by means polynomial curve fitting methods. In order address the issues related and take many sources utilized private sector providers deliver cost-effective electricity consumers, partly distributed consensus-based approach utilized. proposed adeptly addresses concern within integrated framework while simultaneously allowing strategy selecting fuels. suggested effectively tackles challenges arising from imbalances between supply demand also fostering consensus among stakeholders. Moreover, system accomplishes tracking composite utilizes exponential optimization techniques. effectiveness design technique in generating steady convergence ultimately shown through simulations associated data.

Language: Английский

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Optimization and Statistical Analysis for an Independent Microgrid Operation through an Innovative Fusion of Demand Response Programs

Deleted Journal, Journal Year: 2024, Volume and Issue: 31(1), P. 298 - 317

Published: March 1, 2024

Microgrid operations face increased difficulty due to the unpredictability of renewable energy sources, such as solar and wind. To address this challenge, storage devices are widely employed. Another method enhance safety dependability microgrids is Demand Response Program (DRP), which lowers peak demand shifts it off-peak times. In an effort reduce overall operating expenses, paper employs several DRPs solve Unit Commitment Economic Dispatch (UCED) problem for a self-sufficient microgrid. both operation financial effectiveness microgrid, novel combination presented in article. Ultimately, users will benefit from combination. The modeling based on consumer price elasticity models. UCED issue formulated solved GAMS using mixed-integer nonlinear programming (MINLP). study demonstrates proposed strategy 11-Bus Microgrid. According optimization findings, operational expenses reduced by 17.43%, 18.8%, 19.81%, 14.3% with 0% load shedding when TOU-RTP-CPP-DLC implemented. DLC-DRP scenario, only consumers benefit. When compared alone, suggested RTP+DLC-DRP decreases 15.93% increases advantages. Thus, microgrid operator its strategy.

Language: Английский

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Integrating Demand Response with Unit Commitment in Insular Microgrid considering Forecasting Errors and Battery Storage

International Transactions on Electrical Energy Systems, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

In this paper, DR programs are integrated with the unit commitment economic dispatch model for a single day to lower total operating costs an insular microgrid. The proposed takes into account forecasting errors associated wind, solar, and load demands. A new combined program is presented enhance microgrid operation financial effectiveness, benefiting consumers. price elasticity consumer profit foundation modeling. optimization problem developed as mixed‐integer nonlinear programming (MINLP) solved using GAMS software. For case study, consisting of two microturbines, wind turbine, solar photovoltaic, battery storage considered. Optimization carried out under both without program. outcomes show that by implementing TOU DLC programs, cost reduced 13.55% 9.68%, respectively. While consumers experience loss in TOU‐DR, they earn DLC‐DR. Therefore, combination two, i.e., + DR, proposed, reducing 10.73% while increasing users. suggested approach benefits operator well its users, encouraging construction microgrids rural or isolated areas.

Language: Английский

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Optimal Scheduling Strategy for Energy Allocation of Distributed Electric Heat Storage

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 98059 - 98074

Published: Jan. 1, 2024

Electric heat storage (EHS) located on the grid side can improve flexibility of combined and power (CHP) systems to reduce wind curtailment (WPC), its capacity is correlated with investment costs. However, a significant amount distributed electric (DEHS) load has already been funded constructed by users businesses. To effectively utilize DEHS for diverse user types in different geographic locations, generalized scheduling method required address these issues. fill technology gap, an innovative optimal strategy energy allocation proposed. Firstly, consider comfort their willingness serve scheduling, equivalent (EEAS) increased (IEAS) are developed, respectively. Secondly, general model proposed schedule users. The time-shift characteristics used reallocate working time storage. Thirdly, numerical simulations employed validate strategy. strategies EEAS IEAS contribute reduction WPC. WPC rates reduced 14.04% 29.49%, respectively, when compared conventional time-of-use. Moreover, EEAS, makes contribution providing 27.05% more space grid, thus greatly improving consuming power. be through DEHS, while regulation enhanced increasing deviation allocation.

Language: Английский

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