A privacy‐preserving approach to day‐ahead TSO‐DSO coordinated stochastic scheduling for energy and reserve

Habibi, Mahdi; Vahidinasab, Vahid; Sepasian, Mohammad Sadegh

doi:10.1049/gtd2.12286

Cited by 13 publications

(2 citation statements)

References 33 publications

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“…The objective function of the UC problem is to minimize the operating cost, which contains the penalty associated with reducing damages to consumers due to load shedding. The UC problem is widely used in operational planning, and the corresponding formulation is described in the literature [19], [20]. Accordingly, the proposed UC model is presented in (7) to (19).…”

Section: Model Applied To Unit Commitment Problemmentioning

confidence: 99%

Sustainable and Inclusive Demand-Side Resilience: A Semi-Dynamic Model for Outage Costs

Safamanesh,

Ghaziziadeh,

Habibi

et al. 2023

2023 IEEE PES GTD International Conference and Exposition (GTD)

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The power system is primarily designed and concerned with supplying electricity to its customers at all times. Nevertheless, power outages are inevitable; therefore, one of the challenges is to accurately determine the costs and damages to consumers in a fair and inclusive manner. Outage events are regularly costed based on a parameter called the Value of Lost Load (VoLL/VOLL). Although some of the influencing factors on outage costs have been identified in the literature, the exact determination of the damage to customers is still considered a big challenge. This work is an effort toward a more sustainable and inclusive demand-side resilience that provides a semi-dynamic model for the assignment of the power outage damage costs to the customers. The results of the proposed method show how using a semi-dynamic model for outage costs leads to more sustainable and inclusive operating decisions in the power system while also leads to a fairer allocation of costs.

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Section: Model Applied To Unit Commitment Problemmentioning

confidence: 99%

Sustainable and Inclusive Demand-Side Resilience: A Semi-Dynamic Model for Outage Costs

Safamanesh,

Ghaziziadeh,

Habibi

et al. 2023

2023 IEEE PES GTD International Conference and Exposition (GTD)

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“…The proposed formulation, developed based on a stochastic mixed-integer second-order cone programming (MISOCP) model, is discussed in this section. It should be noted the method of scenario generation used in this paper is described in [43]. Besides, this study considers the base case scenario to ensure the calculation of a specific schedule for the system operation due to the nonanticipativity constraint.…”

Section: The Mves Elementsmentioning

confidence: 99%

Exploring Potential Gains of Mobile Sector-Coupling Energy Systems in Heavily Constrained Networks

Habibi

Vahidinasab

Mohammadi‐Ivatloo

et al. 2022

IEEE Trans. Sustain. Energy

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The coincidence of high levels of variable, nondispatchable generation from renewable energy sources (RESs) and congested electricity networks imposes significant constraint payments (CP) on electricity system operators (ESOs) which ultimately is charged to the customers. This paper is inspired by this challenge and proposes an integrated electricity, gas, and transportation energy system taking advantage of power-to-gas (P2G) facilities and electricity/gas storage devices to enhance operational efficiency. It proposes mobile gas storage systems (MGSs) that can store and carry liquid hydrogen or liquefied natural gas (LNG) to the load points or remote locations without access to the gas network. So, the green energy of RESs in the form of gases can be injected, transported, and reutilized in the natural gas network or stored in MGS facilities. Besides, the mobile electricity storage system (MES) can directly store the redundant electricity produced by RESs, and the railway transportation system carries both the MESs and MGSs to the load point of electrical and gas systems. The proposed model reflects CP to wind in the marketing phase and considers incentives for the hydrogen-burning generators. Also, a stochastic platform is employed to capture the inherent uncertainties in the predicted values of the load and RESs' generation. The model is formulated as a mixed-integer second-order cone programming problem and tested on an IEEE 118-bus system integrated with a 14-node gas network and a railway system. The result shows that employing the multi-vector energy system (MVES) elements reduces the total operational cost by 47%, and the CP to wind is reduced by 99.8% by absorbing almost the whole green energy of wind farms while Gas flow in positive/negative directions, (KCF). G s p,t Absolute value of gas flow, (KCF).

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Power-to-gas (P2G) application in managing network constraints

Mirzaei¹,

Habibi²,

Vahidinasab³

et al. 2023

Power-to-Gas : Bridging the Electricity and Gas Networks

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A privacy‐preserving approach to day‐ahead TSO‐DSO coordinated stochastic scheduling for energy and reserve

Cited by 13 publications

References 33 publications

Sustainable and Inclusive Demand-Side Resilience: A Semi-Dynamic Model for Outage Costs

Sustainable and Inclusive Demand-Side Resilience: A Semi-Dynamic Model for Outage Costs

Exploring Potential Gains of Mobile Sector-Coupling Energy Systems in Heavily Constrained Networks

Power-to-gas (P2G) application in managing network constraints

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