Demand-side management for smart grid networks using stochastic linear programming game

Qin, Hang; Wu, Zhongbo; Wang, Min

doi:10.1007/s00521-018-3787-4

Cited by 11 publications

(5 citation statements)

References 22 publications

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“…The daytime energy consumption and billing were not minimized since the peak loads were not measured and controlled. A two-phase distributed stochastic linear programming management based cooperation game algorithm was developed for payments and verifying the energy consumptions [21].…”

Section: Related Workmentioning

confidence: 99%

A smart residential security assisted load management system using hybrid cryptography

Chiñas-Palacios

Águila-León

Vargas‐Salgado

et al. 2021

Sustainable Computing: Informatics and Systems

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Section: Related Workmentioning

confidence: 99%

A smart residential security assisted load management system using hybrid cryptography

Chiñas-Palacios

Águila-León

Vargas‐Salgado

et al. 2021

Sustainable Computing: Informatics and Systems

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“…That is, it is responsible for organizing and standardizing how the technologies involved will communicate as well as where the services will be executed. A standardized AMI, can result in a standardized model for all cities to implement in PES, as well as companies and universities can develop solutions and implementations of new technologies and services for DSM in the context of SG [61][62][63][64].…”

Section: Advanced Metering Infrastructure (Ami)mentioning

confidence: 99%

HyDSMaaS: A Hybrid Communication Infrastructure with LoRaWAN and LoraMesh for the Demand Side Management as a Service

et al. 2021

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Seeking to solve problems in the power electric system (PES) related to exacerbated and uncontrolled energy consumption by final consumers such as residences, condominiums, public buildings and industries, electric power companies (EPC) are increasingly seeking new information and communication technologies (ICTs) to transform traditional electric power distribution networks into smart grids (SG). With this implementation, PES will be able to remotely control electric power consumption as well as monitor data generated by smart meters (SM). However, Internet-of-Things (IoT) technologies will enable all this to happen quickly and at low cost, since they are low-cost devices that can be deployed quickly and at scale in these scenarios. With this in mind, this work aimed to study, propose, and implement a hybrid communication infrastructure with LoRaWAN and LoraMesh for the demand-side management as a service (HyDSMaaS) using IoT devices such as long range (LoRa) to provide an advanced metering infrastructure (AMI) capable of performing all these applications as a service offered by EPC to end consumers. Additionally, services such as demand-side management (DSMaaS) can be used in this infrastructure. From the preliminary results it was found that the LoRaWAN network achieved a range of up to 2.35 km distance and the LoRaMESH one of 600 m; thus, the latter is more suitable for scenarios where there is little interference and the SMs are at long distances, while the other is used for scenarios with greater agglomeration of nearby SMs. Considering the hybridized scenario between LoraWAN and LoRaMESH, it can be seen that the implementation possibilities increase, since its range was approximately 3 km considering only one hop, and it can reach 1023 devices present in a mesh network. Thus, it was possible to propose the actual implementation of LoRaWAN and LoRaMESH protocols as well as the hybridization of the two protocols for HyDSMaaS. Additionally, the results obtained are exclusively from Radioenge’s LoRa technology, which can be further improved in the case of using more powerful equipment.

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“…A simulation was conducted using a modified IEEE 30-bus system, incorporating the integration of wind power. A distributed structure and stochastic linear programming game were presented, allowing for the scheduling of appliances and storage units as well for the energy payments in 22 . A distributed primal–dual continuous time consensus algorithm was implemented for solving dynamic economic dispatch problem 23 .…”

Section: Introductionmentioning

confidence: 99%

Optimizing dynamic economic dispatch through an enhanced Cheetah-inspired algorithm for integrated renewable energy and demand-side management

Nagarajan,

Rajagopalan,

Bajaj

et al. 2024

Sci Rep

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This study presents the Enhanced Cheetah Optimizer Algorithm (ECOA) designed to tackle the intricate real-world challenges of dynamic economic dispatch (DED). These complexities encompass demand-side management (DSM), integration of non-conventional energy sources, and the utilization of pumped-storage hydroelectric units. Acknowledging the variability of solar and wind energy sources and the existence of a pumped-storage hydroelectric system, this study integrates a solar-wind-thermal energy system. The DSM program not only enhances power grid security but also lowers operational costs. The research addresses the DED problem with and without DSM implementation to analyze its impact. Demonstrating effectiveness on two test systems, the suggested method's efficacy is showcased. The recommended method's simulation results have been compared to those obtained using Cheetah Optimizer Algorithm (COA) and Grey Wolf Optimizer. The optimization results indicate that, for both the 10-unit and 20-unit systems, the proposed ECOA algorithm achieves savings of 0.24% and 0.43%, respectively, in operation costs when Dynamic Economic Dispatch is conducted with Demand-Side Management (DSM). This underscores the advantageous capability of DSM in minimizing costs and enhancing the economic efficiency of the power systems. Our ECOA has greater adaptability and reliability, making it a promising solution for addressing multi-objective energy management difficulties within microgrids, particularly when demand response mechanisms are incorporated. Furthermore, the suggested ECOA has the ability to elucidate the multi-objective dynamic optimal power flow problem in IEEE standard test systems, particularly when electric vehicles and renewable energy sources are integrated.

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Demand-side management for smart grid networks using stochastic linear programming game

Cited by 11 publications

References 22 publications

A smart residential security assisted load management system using hybrid cryptography

A smart residential security assisted load management system using hybrid cryptography

HyDSMaaS: A Hybrid Communication Infrastructure with LoRaWAN and LoraMesh for the Demand Side Management as a Service

Optimizing dynamic economic dispatch through an enhanced Cheetah-inspired algorithm for integrated renewable energy and demand-side management

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