Optimal Design for a Campus Microgrid Considering ESS Discharging Incentive and Financial Feasibility

Vu, Ba Hau; Husein, Munir; Kang, Hyun-Koo; Chung, Ilyong

doi:10.1007/s42835-019-00142-9

Cited by 10 publications

(5 citation statements)

References 10 publications

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“…It also facilitates the optimisation of energy management through, for instance, deploying microgrids that are integrated with renewable energy sources [63]. The economic feasibility of such systems has also been demonstrated through university-based pilot projects [64].…”

Section: Results Of the Bibliometric Analysismentioning

confidence: 99%

Low carbon futures: assessing the status of decarbonisation efforts at universities within a 2050 perspective

Filho

Vidal²,

Dinis³

et al. 2023

Energ Sustain Soc

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Background The implementation of sustainability at universities means that they can also play a key role in the transition to a low carbon economy, and in assisting global efforts towards decarbonisation. Yet, not all of them have so far fully engaged in this area. This paper reviews the state of the art on trends in decarbonisation, and outlines the need for decarbonisation efforts at universities. It also reports on a survey aimed at ascertaining the extent to which universities in a sample of 40 countries across the various geographical regions are engaged in carbon reduction efforts, identifying the challenges faced. Results The study has shown that the literature on the topic has been evolving over time and that increasing a given university’s energy supply from renewable energy sources has been the cornerstone of university-based climate action plans. The study also indicates that even though several universities are concerned with their carbon footprint and actively seeking ways to reduce it, there are some institutional obstacles that need to be overcome. Conclusions A first conclusion which can be drawn is that efforts on decarbonisation are becoming more popular, with a special focus being placed on the use of renewable energy. Also, the study has shown that, from the range of efforts being made towards decarbonisation, many universities are setting up a team with carbon management responsibilities, have Carbon Management Policy Statements, and review them. The paper points towards some measures which may be deployed, so as to allow universities to take better advantage of the many opportunities an engagement in decarbonisation initiatives offers to them.

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Section: Results Of the Bibliometric Analysismentioning

confidence: 99%

Low carbon futures: assessing the status of decarbonisation efforts at universities within a 2050 perspective

Filho

Vidal²,

Dinis³

et al. 2023

Energ Sustain Soc

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show abstract

“…However, there is an immense need to develop real-time ESS coordination schemes for separately owned ESS units, and the ESS charging/discharging decisions should be mutually coupled to physical network constraints or competitive pricing [140,141]. To regulate the power market, the mathematical models for analysing the benefits and costs of the ESS should be developed while taking into account the maximum power level, ESS capacity and operation [142,143].…”

Section: Maximised Economic Benefits By Ess Control Policiesmentioning

confidence: 99%

A comprehensive state‐of‐the‐art review of power conditioning systems for energy storage systems: Topology and control applications in power systems

Rafaq

Basit

Mohammed

et al. 2022

IET Renewable Power Gen

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Energy storage systems are pivotal for maximising the utilisation of renewable energy sources for smart grid and microgrid systems. Among the ongoing advancements in energy storage systems, the power conditioning systems for energy storage systems represent an area that can be significantly improved by using advanced power electronics converter designs and control techniques. Normally, the battery, flywheel, ultracapacitor and superconducting magnetic energy storage are the types of energy storage systems that typically require power conditioning systems for efficient bidirectional power flows. Compared to the previous review papers, this paper critically reviews the power conditioning system configurations and control techniques from the perspective of energy storage system applications in the power systems. First, the power conditioning systems are categorised into DC bus power conditioning systems and AC bus power conditioning systems based on the output voltage types at the connected point. Next, the topologies and control configurations of popular power electronics are comparatively analysed to highlight their advantages and power system applications. Moreover, the control configurations are discussed in terms of the popular applications of energy storage systems, that is, power backup smoothing, frequency regulation, voltage regulation and power quality applications. In addition, the latest developments in the energy storage system such as multi-functional energy storage system stacking, artificial intelligence for power conditioning system of energy storage systems and security of control of energy storage systems are critically analysed. Finally, the review is concluded by discussing industrial applications and future research trends for the power conditioning systems of energy storage systems.

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“…Oueid (2019) discussed the financial information required for planning MGs to facilitate evaluating similar projects. The Microgrid Decision Support Tool (MDSTool) was used in Vu et al (2019) to conduct a detailed technical and economic analysis of gridconnected PVs with the energy storage system to achieve an optimal university microgrid. The net present value (NPV) is used as a metric for economic evaluation of the project.…”

Section: Introduction 1backgroundmentioning

confidence: 99%

An intelligent multi-layer, multi-agent MMG framework with amelioration of energy efficiency and future investment outlook, under the deregulated day-ahead and real-time market regime

Mujahid,

Altamimi,

Kazmi

et al. 2024

Front. Energy Res.

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This paper developed an intelligent multi-agent system (MAS) with a multi-layer framework for multi-microgrids (MMGs) using robust and modern communication patterns for deployed agents to achieve distributed tasks. The MMG paradigm introduces three microgrids (MGs) based on the type of load, working environment, and living habitat: residential, commercial, and industrial. In addition, a day-ahead and real-time model is proposed for day-ahead and real-time signals. Intelligent agents in the multi-layer MAS framework make smart decisions based on multiple algorithms to optimize schedule power and minimize costs, considering demand dispatch and demand response as core components. Maximum renewable energy utilization aims to increase user comfort and reduce greenhouse gas (GHG) emissions. Load agents deployed in each MG ensure maximum efficiency. The proposed framework recommends various tariff rates and tariff adjustment strategies to promote and offer an economic evaluation across the respective indices. To minimize the monopoly of the energy market, an efficient energy market model is developed for the proposed MMG paradigm to maximize the competition by incorporating future and spot-market trading schemes for day-ahead and real-time signals. The comparative analysis indicates optimized results based upon the cost-benefit analysis, cost reduction, power transaction in the market, and maximum utilization of renewable energy resources (RERs).

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Optimal Design for a Campus Microgrid Considering ESS Discharging Incentive and Financial Feasibility

Cited by 10 publications

References 10 publications

Low carbon futures: assessing the status of decarbonisation efforts at universities within a 2050 perspective

Low carbon futures: assessing the status of decarbonisation efforts at universities within a 2050 perspective

A comprehensive state‐of‐the‐art review of power conditioning systems for energy storage systems: Topology and control applications in power systems

An intelligent multi-layer, multi-agent MMG framework with amelioration of energy efficiency and future investment outlook, under the deregulated day-ahead and real-time market regime

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