Microgrid Value of Ramping

Majzoobi, Alireza; Mahoor, Mohsen; Khodaei, Amin

doi:10.1109/smartgridcomm.2019.8909775

Cited by 3 publications

(3 citation statements)

References 35 publications

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“…Therefore, renewable energies and CHP systems are potential solutions to improve the ability of system black-start ability. Increasing number of renewable energy integration to the power system accords a whole host of advantages, such as economic, environmental and technical to power distribution system [4]. These power resources as distributed generation (DG) systems have been studied with different concepts [5].…”

Section: Introductionmentioning

confidence: 99%

Load restoration methodology considering renewable energies and combined heat and power systems

Alwan¹,

Farhan²

2018

IJET

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Outages and faults cause problems in interconnected power system with huge economic consequences in modern societies. In the power system blackouts, black start resources such as micro combined heat and power (CHP) systems and renewable energies, due to their selfstart ability, are one of the solutions to restore power system as quickly as possible. In this paper, we propose a model for power system restoration considering CHP systems and renewable energy sources as being available in blackout states. We define a control variable representing a level of balance between the distance and importance of loads according to the importance and urgency of the affected customer. Dynamic power flow is considered in order to find feasible sequence and combination of loads for load restoration.

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Section: Introductionmentioning

confidence: 99%

Load restoration methodology considering renewable energies and combined heat and power systems

Alwan¹,

Farhan²

2018

IJET

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“…Due to significant increase in microgrids deployments in recent years, it is anticipated that, sooner or later, a network of interconnected microgrids will be appearing in power systems [17], [18]. As a result, microgrids can further be utilized for providing flexibility services in distribution network [19]- [23]. The study in [20] leverages microgrids to propose a viable and localized approach to the challenge of distribution network net-load ramping.…”

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confidence: 99%

“…The value of ramping should be determined by the microgrid operator based on a cost-benefit analysis that whether or not it is economical to participate in a distribution market program. An effective valuation approach for microgrid ramping is proposed in [23]. In this respect, two problems, including price-based and ramping-oriented optimal scheduling are defined, and further the microgrid value of ramping is quantified via a comparison between these two problems.…”

mentioning

confidence: 99%

Distribution Market as a Ramping Aggregator for Grid Flexibility Support

Majzoobi

Mahoor

Khodaei

2018

2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)

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The growing proliferation of microgrids and distributed energy resources in distribution networks has resulted in the development of Distribution Market Operator (DMO). This new entity will facilitate the management of the distributed resources and their interactions with upstream network and the wholesale market. At the same time, DMOs can tap into the flexibility potential of these distributed resources to address many of the challenges that system operators are facing. This paper investigates this opportunity and develops a distribution market scheduling model based on upstream network ramping flexibility requirements. That is, the distribution network will play the role of a flexibility resource in the system, with a relatively large size and potential, to help bulk system operators to address emerging ramping concerns. Numerical simulations demonstrate the effectiveness of the proposed model on when tested on a distribution system with several microgrids.

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A Novel Dynamic Pricing Time‐Based Demand Response Program for Net‐Load Flexibility of Microgrids

Nojavan,

Maghouli

2024

International Journal of Energy Research

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In recent years, concerns about electrical energy supply have led to the extensive use of renewable energy sources (RESs). In addition to all the benefits and reasons that justify the unlimited use of RESs, the unplanned exploitation of these sources can challenge the reliability indices of the power system. Demand‐side management (DSM) by demand response programs (DRPs) is one of the most effective and powerful measurements to provide flexibility for the system. DRPs can change the pattern of customer consumption as well as the shape of the load curve. In this study, a novel time‐based demand response model is proposed to control the slope of demand changes. Consequently, dynamic/fixed pricing models with a controllable time step are extracted. These models are implemented on experimental networks, and the results are analyzed and presented for three cases. According to the desired model, the electricity price management at particular hours of the day affects the behavior of the consumers, and it reduces the steep slope in the net‐load ramping curves (62.5% and 50% reduction in peak to valley (P2V) distance for hourly curve and daily curve, respectively).

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Microgrid Value of Ramping

Cited by 3 publications

References 35 publications

Load restoration methodology considering renewable energies and combined heat and power systems

Load restoration methodology considering renewable energies and combined heat and power systems

Distribution Market as a Ramping Aggregator for Grid Flexibility Support

A Novel Dynamic Pricing Time‐Based Demand Response Program for Net‐Load Flexibility of Microgrids

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