Economic optimal load management control of microgrid system using energy storage system

Mbungu, Nsilulu T.; Madiba, T.; Bansal, Ramesh C.; Bettayeb, Maâmar; Naidoo, Vinogran; Siti, Mukwanga W.; Adefarati, T.

doi:10.1016/j.est.2021.103843

Cited by 41 publications

(12 citation statements)

References 46 publications

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“…These data are presumed to be accurate and without uncertainty. 43 Next, the system parameters are listed in Table 1; some were selected from Reference 44 and others Algorithm Algorithm of the implemented methods Start 1: Apply the control procedure for the open-loop or closed-loop, or MPC approach by determining the control variables.…”

Section: System Simulation 41 | Case Studymentioning

confidence: 99%

Toward an intelligent community microgrid energy management system based on optimal control schemes

Azaroual

Mbungu

Ouassaid

et al. 2022

Intl J of Energy Research

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This article investigates a modelization of the energy management strategy of a grid-tied photovoltaic (PV), wind generator, and battery system. The model uses a smart metering system to collect data from various electrical components of a microgrid. The power optimization strategy is modeled under demand response, including time-of-use pricing to create a home's energy flow more efficiently. Two optimal control strategies are developed to coordinate

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Section: System Simulation 41 | Case Studymentioning

confidence: 99%

Toward an intelligent community microgrid energy management system based on optimal control schemes

Azaroual

Mbungu

Ouassaid

et al. 2022

Intl J of Energy Research

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“…MG or SG is the developed technology in which the excess generation of power from these REs is stored in a storing device that will supply power to the load in case of a grid failure or power shortage. [46][47][48] (i) Battery: Battery is the largest used ESS for storing power coming from the MG that is installed between the load and source. Lead-acid, nickel-cadmium, lithium-ion, sodium-sulfur, and so on are the different classes of batteries usually used in the power system.…”

Section: Energy Storage Systemmentioning

confidence: 99%

“…The conventional power grid has no facility to store the excess power that will be useful during a power shortage. MG or SG is the developed technology in which the excess generation of power from these REs is stored in a storing device that will supply power to the load in case of a grid failure or power shortage 46–48 …”

Section: Modeling and Critical Design Analysis Of Mgmentioning

confidence: 99%

Microgrid to smart grid's evolution: Technical challenges, current solutions, and future scopes

Badal

Sarker

Nayem

et al. 2022

Energy Science & Engineering

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Renewable energy (RE) sources play an important role that not only reduces the pressure on fossil fuels but also produces safe and clean energy by developing the microgrid (MG) technology that fulfills the excess demand for power throughout the world. The technological development and the blessing of information and communication technology converts the MG technology to a smarter one, termed as smart grid (SG) and virtual power plant, by establishing a two‐way communication between the consumers and service provider with the aid of smart metering infrastructure, dynamic pricing scheme, energy management system, smart transmission and distribution system. The transformation of the traditional power system to SG enhances the efficiency, flexibility, resiliency, and robustness of the power system due to the increasing level of cyber security and automation. A directional pathway from conventional to smart power system has been carried out in this paper by addressing the present status of the power system, challenges during the operations, and possible solutions. Initially, the control operation of MG with RE and energy storage system has been investigated which is essential to understand the operation complexity and challenges due to the variable nature of the RE, load dynamics, and uncertainties. But the facilities of end‐user feedback, dynamic pricing scheme, cyber security, and smart metering system are not present in MG technology that hampers the proper regulation of controlling operation, generating and distributing energy as well as energy losses. The development of SG with smart technologies overcomes these problems by proper controlling of power usage. Finally, this paper provides a path to move the MG toward SG by analyzing the technical and critical challenges of smart devices, equipment integration, and their control issues and provides possible solutions to overcome the integration and control challenges for a reliable and sustainable operation.

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“…The smart metering system gather data as dissimilar components of electric system. Mbungu et al 53 have made an application of optimal load management control system for economic problem of load shedding. The control system depends on the coordination of the diesel generator system (DG) united with an independent MG containing RER.…”

Section: Recent Research Work: a Brief Reviewmentioning

confidence: 99%

Energy management approach in electric vehicle with optimizing electricity consumption cost using hybrid method

Vijayaragavan¹,

Krishnakumar

Prabhu

2022

Energy & Environment

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This paper proposes a hybrid approach for the optimal design of electric vehicle (EV) home energy management. The proposed hybrid system combines the execution of the Lichtenberg optimization algorithm and the heap-based optimizer; hence, it is named as LAHBO method. The main purpose of the proposed system is the reduction of costs and improvement of the power factor. Thus, two phases of optimization, such as Lichtenberg optimization algorithm–based cost minimization and heap-based optimizer–based power factor improvement. At initial phase, power conversation, and operating time of the smart home components are decided using the Lichtenberg optimization algorithm method. It is categorized into four groups, such as interruptible, uninterruptible, thermostatically controlled, and non-programmable loads. In second phase, the residential power factor at grid connection point is improved using the heap-based optimizer approach. Finally, the proposed system is carried out on MATLAB platform related to several existing approaches. The proposed method enhances the power factor and diminishes the cost than the existing method. The cost of proposed method is 0.16$ and existing approaches such as CGO, SMO, and SOA cost become 0.2, 0.3, and 0.35$, respectively.

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Economic optimal load management control of microgrid system using energy storage system

Cited by 41 publications

References 46 publications

Toward an intelligent community microgrid energy management system based on optimal control schemes

Toward an intelligent community microgrid energy management system based on optimal control schemes

Microgrid to smart grid's evolution: Technical challenges, current solutions, and future scopes

Energy management approach in electric vehicle with optimizing electricity consumption cost using hybrid method

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