Multi-Agent Based Optimal Operation of Hybrid Energy Sources Coupled with Demand Response Programs

Olorunfemi, Tope Roseline; Nwulu, Nnamdi

doi:10.3390/su13147756

Cited by 6 publications

(5 citation statements)

References 21 publications

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“…where x is a variable, satisfying x ∈ R N ; b, c are coefficient constants, satisfying b ∈ R M , c ∈ R N and A M×N ∈ R M×N ; K represents a second-order cone or a rotating second-order cone, which are shown in Equations ( 16) and ( 17) respectively.SOCP is essentially a convex programming, its solution is optimal, and the calculation is very efficient. Better results can be obtained by using the cplex solver [26] provided by Matlab R2016a software.…”

Section: Solution Methods Of Modelmentioning

confidence: 99%

Operation Optimization Method of Distribution Network with Wind Turbine and Photovoltaic Considering Clustering and Energy Storage

et al. 2023

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The problem of distribution network operation optimization is diversified and uncertain. In order to solve this problem, this paper proposes a method of distribution network operation optimization considering wind-solar clustering, which includes source load and storage. Taking the total operating cost as the objective function, it includes network loss cost, unit operating cost, and considers a variety of constraints such as energy storage device constraints and demand response constraints. This paper aims to optimize the operation according to different wind-solar clustering scenes to improve the economy of distribution network. Taking the 365-day wind-solar output curves as the research object, K-means clustering is carried out, and the best k value is obtained by elbow rule. The second-order cone programming method and solver are used to solve the optimization model of each typical scenario, and the operation optimization analysis of each typical scenario obtained by clustering is carried out. Taking IEEE33 system and local 365-day wind-solar units output scenes as examples, the period is 24 h, which verifies the effectiveness of the proposed method. The proposed method has guiding significance for the operation optimization of distribution network.

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Section: Solution Methods Of Modelmentioning

confidence: 99%

Operation Optimization Method of Distribution Network with Wind Turbine and Photovoltaic Considering Clustering and Energy Storage

et al. 2023

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“…A comprehensive review of MAS-based distributed coordinated control and optimization in MGs and NMGs is proposed by Han et al [54]. Some recent papers are highlighted in the followings in order to give to the reader an overview on how MAS is used for MG/NMG management [72][73][74][75][76][77][78][79][80][81].…”

Section: Multi-agent Systemsmentioning

confidence: 99%

“…An independent market strategy is learnt. In [81], a demand response (DR) strategy built on an incentivebased demand response (IBDR) model is proposed to minimize the daily operating costs of hybrid MGs. Three case studies were considered to derive the most reduced daily operating costs.…”

Section: Multi-agent Systemsmentioning

confidence: 99%

A Survey of Recent Advances in the Smart Management of Microgrids and Networked Microgrids

2022

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Microgrids (MGs) and networked (interconnected) microgrids (NMGs) are emerging as an efficient way for integrating distributed energy resources (DERs) into power distribution systems. MGs and NMGs can disconnect from the main grid and operate autonomously, strengthen grid resilience, and help mitigate grid disturbances and maintain power quality. In addition, when supported by sophisticated and efficient management strategies, MGs and NMGs have the ability to enhance power supply reliability. However, their deployment comes with many challenges, in particular regarding the efficient management of DERs. That is why a survey of recent advances in the smart management—the term refers to a variety of planning and control tasks—of MGs and NMGs is presented in this paper. It aims at establishing a picture of strategies and identifying trends in methods. The reader is provided with an in-depth analysis of a variety of papers recently published in peer-reviewed journals: the way the methods are used and the common issues addressed by the scientific community are discussed. Following this analysis, one can especially observe that (1) model-based predictive control (MPC) is emerging as a competitive alternative to conventional methods, in particular in voltage and frequency regulation and DER management (2) due to their ability to handle complex tasks, data-driven strategies are getting more and more attention from the scientific community (3) game theory (GT) is a very good candidate for efficient management of complex systems as NMGs (4) MPC and artificial intelligence are increasingly being used for proper MG islanded operation or to manage electric vehicles (EVs) efficiently.

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“…Ref. [38] used AIMMS software to reduce the daily operating costs of networked Microgrids implementing an Incentive-based DRP using AIMMS software. However, the impact of the different levels of consumer participation in Microgrid operations has not been studied.…”

Section: Introductionmentioning

confidence: 99%

To Enhance the Operational Planning of an Independent Microgrid Using a Novel Combination of Demand Response Programs

Swami,

Gupta

2024

IJEEI

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Providing electricity in rural or isolated areas involves high capital costs due to the cost of constructing transmission and distribution facilities. An independent Microgrid consisting of distributed generations (including both renewable and non-renewable energy sources) near the load could be an effective alternative. However, the unpredictability of renewable energy sources like wind and solar creates a problem in Microgrid operation, as there are instances when generation may not be enough to satisfy peak demand. Energy storage technology is generally employed to address this uncertainty. The Demand Response Program (DRP) is another technique that makes the Microgrid operation reliable and safe by lowering peak demand and switching it to low-load periods. This article addresses the short-term Unit Commitment Economic Dispatch (UCED) problem for an Independent Microgrid to reduce the overall operating costs using various DRPs. This paper presents a novel combination of DRP to enhance Microgrid's operation and financial effectiveness and benefit its users. DRP modeling is done based on price elasticity and consumer benefit models. Mixed-integer nonlinear programming (MINLP) is used to formulate and solve the UCED problem in the GAMS software. 11-Bus Microgrid is considered for demonstration. According to the optimization results, implementation of TOU-RTP-CPP-DLC DRPs reduces the operating cost by 13.68%, 13.31%, 17.16%, and 8.41%, respectively, with reduced load shedding. Consumers get benefits only in DLC-DRP. The proposed TOU+DLC-DRP combination reduces the operating costs by 13.48% with increased consumer benefits compared to DLC-DRP alone. Therefore, the proposed method is profitable for both the Microgrid operator and its users.

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Multi-Agent Based Optimal Operation of Hybrid Energy Sources Coupled with Demand Response Programs

Cited by 6 publications

References 21 publications

Operation Optimization Method of Distribution Network with Wind Turbine and Photovoltaic Considering Clustering and Energy Storage

Operation Optimization Method of Distribution Network with Wind Turbine and Photovoltaic Considering Clustering and Energy Storage

A Survey of Recent Advances in the Smart Management of Microgrids and Networked Microgrids

To Enhance the Operational Planning of an Independent Microgrid Using a Novel Combination of Demand Response Programs

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