A hierarchical electricity market structure for the smart grid paradigm

Manshadi, Saeed D.; Khodayar, Mohammad E.

doi:10.1109/tdc.2016.7519877

Cited by 13 publications

(26 citation statements)

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“…On the other hand, semi‐definite programming (SDP) has been equally important for research (Bai, Wei, Fujisawa, & Wang, ; Jubril, Olaniyan, Komolafe, & Ogunbona, ; Lavaei & Low, ). Nevertheless, despite its drawbacks, the DC power flow has also been used for modeling distribution networks sometimes, as in the work done by Manshadi and Khodayar ().…”

Section: Missing Elements For Tso‐dso Coordination In Balancing and Lmentioning

confidence: 99%

Transmission and distribution coordination in power systems with high shares of distributed energy resources providing balancing and congestion management services

Lind

Cossent

Ávila

et al. 2019

WIREs Energy & Environment

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This paper presents a literature review on the coordination between transmission and distribution grid operators in power systems, with particular emphasis on the provision of balancing and congestion management services. Firstly, a brief historical background is presented in order to highlight the ongoing changes current power systems are experiencing and that call for greater coordination between transmission system operators (TSO) and distribution system operators (DSO).These include the growth in distributed energy resources (DER), new roles to be adopted by both system operators (SO), and the integration of new agents such as independent aggregators. Next, the paper places its focus on a particular topic which, based on the review presented, is presumably considered as the most relevant issue requiring tighter cooperation mechanisms, that is, the procurement of balancing services from DER by TSOs whilst DSOs procures the same DER flexibility to manage local congestions. Four key elements are identified for this coordination to take place, namely (a) DER flexibility integration, (b) coordination schemes, (c) transmission-distribution optimization, and (d) data exchange. For each one of them, the paper presents a literature review and identifies the main existing technical, economic, and regulatory barriers. These barriers include, among others, the limitation for small DER flexibility to participate in grid service markets, the challenges for independent aggregators, the technical barriers for optimizing a transmission-distribution grid, and the lack of maturity in coordination schemes and TSO-DSO data exchange models.

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Section: Missing Elements For Tso‐dso Coordination In Balancing and Lmentioning

confidence: 99%

Transmission and distribution coordination in power systems with high shares of distributed energy resources providing balancing and congestion management services

Lind

Cossent

Ávila

et al. 2019

WIREs Energy & Environment

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“…The electricity prices are given in Table 3. Note that the electricity prices are dynamic in reality [35][36][37]. However, since it is not the focus of this paper, a static time of use price is applied for simplicity.…”

Section: Case Study I: Ieee 33-bus Distribution Systemmentioning

confidence: 99%

Microgrid Planning Considering the Supply Adequacy of Critical Loads under the Uncertain Formation of Sub-Microgrids

2019

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A microgrid can be partitioned into several autonomous sub-microgrids in case of multiple faults in natural disasters. How to guarantee the supply adequacy of critical loads in sub-microgrids is a problem that should be considered at the planning stage. This paper proposes a microgrid planning model considering the supply adequacy of critical loads under the uncertain formation of sub-microgrids. The proposed model minimizes the total cost during the project life, which includes the construction cost and operation cost for the candidate distributed energy resources (DERs). The supply adequacy of critical loads in sub-microgrids is taken into account in the model. As we only know the critical load areas, the locations of switches which divide the microgrid into sub-microgrids are unknown at the planning stage. Considering this uncertainty, the microgrid planning issue is finally formulated as a robust model against the worst formation of sub-microgrids. The developed model is tested on two systems: IEEE 33-bus and 123-bus distribution systems. Simulation indicates (1) the proposed method is more robust than deterministic strategy as critical load loss is intolerable in sub-microgrids; (2) the investment cost is the same with that of the deterministic case when the number of sub-microgrids is within two.

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“…An important part of Demand Side Management (DSM) is Demand Response (DR) which deals with the consumers' behavior and how it can be modified to achieve different objectives. This provides a tool to get a more active participation of customers into the energy market bringing multiple benefits for the participants, as for example reduction in users' payments for electricity, optimization of the investments made by electric distribution, transmission and generation owners, benefits for the environment by increasing the use of sustainable sources of energy, in summary approaching the electricity system to the theory of hierarchical energy resources (7) . Electricity pricing and economic incentives are the primary mechanisms used for achieving consumers participation and consequently shaping the demand curve in the way necessities require (8) , which in general points for flattening the daily demand curve.…”

Section: Figure 1 Hierarchical Energy Resourcesmentioning

confidence: 99%

“…Many schemes of electricity markets do exist as for example the one proposed in (7) which is oriented to the smart grid structure approach, and also on the other hand cases of investigations whose orientation is towards economics which is a defining aspect to consider for any future implementation (12) , or the case in which a smart mini-grid scheme is proposed as a municipal grid for grouping the nano-grids and contribute and participate into the electricity market (20) . Furthermore, there are different scenarios to simulate an electricity market and at the same time the variables taken into consideration differ greatly between the investigations, as for example in the case of (21) where an electricity market is analyzed under a genetic algorithm taking into consideration rated power factor, stochastic load, holding costs, short costs, startup costs and shut down costs.…”

Section: Figure 4 Electricity Smart Grid Integrationmentioning

confidence: 99%

Review of Electricity Markets for Smart Nano-Grids

Robalino

Torres

2019

inycomp

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Este artícul o se enfoca en revisar los mode los de mercados eléctricos y las característic as de las nano redes inteligentes, realizando un estudio de los aspectos principales, estructura e integración. Investigaciones previas son discutidas e ideas fundamentales son desarrolladas y explicadas, y finalmente variables y restricciones son expuestas para modelar un mercado eléctrico incluyendo las consideraciones para nano redes inteligentes

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A hierarchical electricity market structure for the smart grid paradigm

Cited by 13 publications

References 0 publications

Transmission and distribution coordination in power systems with high shares of distributed energy resources providing balancing and congestion management services

Transmission and distribution coordination in power systems with high shares of distributed energy resources providing balancing and congestion management services

Microgrid Planning Considering the Supply Adequacy of Critical Loads under the Uncertain Formation of Sub-Microgrids

Review of Electricity Markets for Smart Nano-Grids

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