A Hierarchical Response-Based Approach to the Load Restoration Problem

Gholami, Amin; Aminifar, Farrokh

doi:10.1109/tsg.2015.2503320

Cited by 72 publications

(43 citation statements)

References 20 publications

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“…The reason is that in Case 2, the combinational loads are only supplied with heat. Specifically in Case 3, we can see that when the electricity price is high (i.e., [13][14][15][16][17][18][19][20][21], the combinational loads are supplied by burning NG as its price is constant during the scheduling horizon. The SOE associated with electricity storage located at bus 26 and for different cases is shown in Fig.…”

Section: Case Study and Discussionmentioning

confidence: 99%

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Optimal energy management in multi-carrier microgrids: an MILP approach

Shekari¹,

Gholami²,

Aminifar³

2019

J. Mod. Power Syst. Clean Energy

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With the increasing interdependence of various energy carriers, the operation of power systems is found to correlate closely with the limitations on the other energy infrastructures. This paper presents a mixed-integer linear programming (MILP) model for the microgrid (MG) optimal scheduling considering technical and economic ties between electricity and natural gas (NG) systems. In the proposed methodology, different energy converters and storages, including combined heat and power (CHP) units, electricity/heat storage units, and distributed energy resources (DERs) are considered. The proposed model allows the MG operator to minimize the operation cost of the MG while different operational limitations on the energy hub are satisfied. The model is developed based on AC power flow constraints so as to respect reactive power and voltage security constraints. The efficiency and robustness of the proposed MILP formulation are successfully verified using a large-scale test MG.

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Section: Case Study and Discussionmentioning

confidence: 99%

“…Table 1 summarizes the applied assumptions in the linearization process. Detailed procedure for linearizing (8) and (9) can be found in [20,21]. The efficiency of this approximation in distribution networks has been thoroughly analyzed in [15,19].…”

Section: Linearization Approachmentioning

confidence: 99%

Optimal energy management in multi-carrier microgrids: an MILP approach

Shekari¹,

Gholami²,

Aminifar³

2019

J. Mod. Power Syst. Clean Energy

Self Cite

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“…In addition, restoration techniques that are adaptive to widespread outages can enhance resilience as an additional operational solution [26][27][28]. After a natural disaster, the occurrence of multiple damages is very probable and thus repair crews play a critical role during restoration state.…”

Section: Enhancing Power Systems Resiliencementioning

confidence: 99%

Power Systems Resilience Assessment: Hardening and Smart Operational Enhancement Strategies

et al. 2017

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Abstract-Power systems have typically been designed to be reliable to expected, low-impact high-frequency outages. In contrast, extreme events, driven for instance by extreme weather and natural disasters, happen with low-probability, but can have a high impact. The need for power systems, possibly the most critical infrastructures in the world, to become resilient to such events is becoming compelling. However, there is still little clarity as to this relatively new concept. On these premises, this paper provides an introduction to the fundamental concepts of power systems resilience and to the use of hardening and smart operational strategies to improve it. More specifically, first the resilience trapezoid is introduced as visual tool to reflect the behavior of a power system during a catastrophic event. Building on this, the key resilience features that a power system should boast are then defined, along with a discussion on different possible hardening and smart, operational resilience enhancement strategies. Further, the so-called ΦΛΕΠ resilience assessment framework is presented, which includes a set of resilience metrics capable of modelling and quantifying the resilience performance of a power system subject to catastrophic events. A case study application with a 29-bus test version of the Great Britain transmission network is carried out to investigate the impacts of extreme windstorms. The effects of different hardening and smart resilience enhancement strategies are also explored, thus demonstrating the practicality of the different concepts presented. However, ensuring an uninterrupted electricity supply is challenging, as power systems are exposed to several threats. These threats can be mainly categorized in typical power system outages and extreme events, driven for instance by natural disasters/extreme weather. There are distinct differences between these two categories, as shown in Table I [4]. Hence, electrical power systems have been designed in a way that they possess high levels of reliability to the more typical threats. Latest events are now creating compelling cases for power systems to also boast high levels of resilience to natural disasters and extreme weather, to reduce the frequency and severity of power disruptions. Power systems reliability is a well-known and established concept, and several reliability-oriented studies have been developed by power system engineers and scholars. In contrast, there is much less clarity as to the concept of resilience. "Resilience" originates from the Latin word "resilio" and, having been first introduced by C.S. Holling in 1973 for ecological systems [5], is a relatively new and emerging concept in the area of power systems. Within this context, power systems resilience can be referred to as the ability of a power system to recover quickly following a disaster or, more generally, to the ability of anticipating extraordinary and high-impact, low-probability events, rapidly recovering from these disruptive events, and absorbing lessons for adapting ...

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“…Arif et al [76] presented a transmission system restoration algorithm by optimizing the repair crew routes and schedule and calculated the restored MW at each time step. The other methods were proposed by Chen et al [77] through a sequential service restoration and by Gholami and Aminifar [78] …”

Section: Operational Versatilitymentioning

confidence: 99%

Analysis of Determinants of the Impact and the Grid Capability to Evaluate and Improve Grid Resilience from Extreme Weather Event

2017

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Concerns about the power outages caused by extreme weather events have led the study of grid resilience. Among the grid resilience studies, this paper presents an overview to evaluate and improve grid resilience through the analysis of determinants of the impact and the grid capability. The impact is determined by the extreme weather events, grid exposure, and grid vulnerability. Whereas, the determinants of the grid capability are physical durability, operational versatility, and rehabilitation capacity. Conceptual knowledge for quantifying the impact and the grid capability is also presented. Then, some improvement strategies to reduce the impact and to improve the grid capability based on their determinants are discussed. The study of the impact and the grid capability provides a preliminary guideline to plan appropriate grid resilience improvement strategies.

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A Hierarchical Response-Based Approach to the Load Restoration Problem

Cited by 72 publications

References 20 publications

Optimal energy management in multi-carrier microgrids: an MILP approach

Optimal energy management in multi-carrier microgrids: an MILP approach

Power Systems Resilience Assessment: Hardening and Smart Operational Enhancement Strategies

Analysis of Determinants of the Impact and the Grid Capability to Evaluate and Improve Grid Resilience from Extreme Weather Event

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