A Dynamic Market Mechanism for Combined Heat and Power Microgrid Energy Management

Nudell, Thomas R.; Brignone, Massimo; Robba, Michela; Bonfiglio, Andrea; Delfino, Federico; Annaswamy, Anuradha M.

doi:10.1016/j.ifacol.2017.08.2040

Cited by 13 publications

(8 citation statements)

References 11 publications

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“…The combined maximum is very possible to consider when the polygeneration process is designed. The use of multi-objective optimization techniques is done when the polygeneration system is designed [25,212,213]. The use of optimization contained in some research cases is still very limited [39,214,215].…”

Section: Optimization Of Polygenerationmentioning

confidence: 99%

An Overview of Polygeneration as a Sustainable Energy Solution in the Future

Hani

Mahidin

Erdiwansyah

et al. 2020

ARFMTS

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Better systems can be produced from various utility outputs that are integrated to make choices. The emergence of polygeneration after triggers and cogeneration can be used as sustainable solutions, making it possible to utilize resources optimally, efficiently and environmentally friendly. Polygeneration can be conceptualized with several possibilities because, theoretically, the working system has been well received as contained in some literature. Various scientific works have reported that the input and output vary greatly. The results of experimental analyses and prototypes developed have also been widely investigated and reported. Optimization tools that are based on the function of each objective are also used as a step to develop polygeneration effectively and efficiently. Polygeneration assessment has multidimensional criteria and their definitions can be applied based on cases with specific objectives. The main objective of this article is to comprehensively review the various literature available to investigate the status of polygeneration for renewable and sustainable energy solutions in the future. Various possible logical and predictable future works on polygeneration are also discussed at the end of this article.

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Section: Optimization Of Polygenerationmentioning

confidence: 99%

An Overview of Polygeneration as a Sustainable Energy Solution in the Future

Hani

Mahidin

Erdiwansyah

et al. 2020

ARFMTS

View full text Add to dashboard Cite

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“…Train Schedules. (10) We note that in the constrained optimization problem in Equations ( 1)-( 10), the decision variables are composed of the power profiles of the dispatchable agents and the trains at each of the ACCs as well as the price of electricity paid by the electric trains.…”

Section: B Overall Constrained Optimization Problemmentioning

confidence: 99%

“…When broken down into the individual ACCs, the first term captures the railway dispatch problem with fixed loads, which in turn is subject to power balance and agent capacity limit constraints ( 2)-( 4). The second term corresponds to the train dispatch problem, and is in turn subject to train dynamics and scheduling constraints ( 5)- (10).…”

Section: B Overall Constrained Optimization Problemmentioning

confidence: 99%

See 1 more Smart Citation

Transactive Control of Electric Railways Using Dynamic Market Mechanisms

D’Achiardi¹,

Annaswamy²,

Mazumder³

et al. 2020

Preprint

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Electricity demand of electric railways is a relatively unexplored source of flexibility in demand response applications in power systems. In this paper, we propose a transactive control based optimization framework for coordinating the power grid network and the train network. This is accomplished by coordinating dispatchable distributed energy resources and demand profiles of trains using a two-step optimization. A railway based dynamic market mechanism (rDMM) is proposed for the dispatch of distributed energy resources (DER) in the power network along the electric railway using an iterative negotiation process, and generates profiles of electricity prices, and constitutes the first step. The train dispatch attempts minimize the operational costs of trains that ply along the railway, while subject to constraints on their acceleration profiles, route schedules, and the train dynamics, and generates demand profiles of trains and constitutes the second step. The rDMM seeks to optimize the operational costs of the underlying DERs while ensuring power balance. Together, they form an overall framework that yields the desired transactions between the railway and power grid infrastructures. This overall optimization approach is validated using simulation studies of the Southbound Amtrak service along the Northeast Corridor (NEC) in the United States, which shows a 25% reduction in energy costs when compared to standard trip optimization based on minimum work, and a 75% reduction in energy costs when compared to the train cost calculated using a field dataset.

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“…In this model, the prosumers were absent, and the loads were assumed to be fixed. Chen et al (2017) and Nudell et al (2017) studied the integration of combined heat and power systems (CHPs) to the energy markets. Chen et al (2017) presented a multi-lateral trading model, yet prosumers were not actively integrated.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Energy Market Platforms Potential in Microgrids: Scenario Analysis Based on a Double-Sided Auction

2019

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Local energy markets represent a mean for distributed energy resources trading for prosumers and energy management for utilities. In these markets, prosumers either trade or shift their loads to maximize their trading gains via communicating with an energy market platform. The utility considers the trading process as an approach to maximize the autonomy and minimize the peak loads. The benefits of the prosumer and utility can vary depending on several parameters such as the market rules, microgrid configurations, or the lifestyle and social behavior of the market participants. In this paper, selected scenarios are presented that discuss and analyze the major factors influencing the market dynamics and microgrid energy balance based on a forward double-sided auction market model simulation. These scenarios are divided into three scenario groups that consider market design parameters, microgrid configurations, and user behavior. Furthermore, the same scenarios are once more evaluated using a reference model, where no market platform is integrated, so that the results of the energy market can be compared. The results are analyzed based on multiple metrics from the perspective of the prosumer and utility to quantify and compare the benefits of the two major market players.

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A Dynamic Market Mechanism for Combined Heat and Power Microgrid Energy Management

Cited by 13 publications

References 11 publications

An Overview of Polygeneration as a Sustainable Energy Solution in the Future

An Overview of Polygeneration as a Sustainable Energy Solution in the Future

Transactive Control of Electric Railways Using Dynamic Market Mechanisms

Evaluation of Energy Market Platforms Potential in Microgrids: Scenario Analysis Based on a Double-Sided Auction

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