A Decentralized Energy Management Framework for Energy Hubs in Dynamic Pricing Markets

Bahrami, Shahab; Toulabi, Mohammadreza; Ranjbar, Saba; Moeini‐Aghtaie, Moein; Ranjbar, Ali Mohammad

doi:10.1109/tsg.2017.2723023

Cited by 145 publications

(61 citation statements)

References 22 publications

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“…With the development of technologies, the traditional power system is undergoing a comprehensive transformation to a smarter, computer-and communication-based grids. Cyber security issues are increasingly closely related to all aspects of the electric grids in generation, transmission, distribution and the end-users [23][24][25][26][27][28]. Many interesting issues have been addressed on the AC power system, but few studies have focused on the DC grids.…”

Section: Literature Surveymentioning

confidence: 99%

Impact of Cyber Attacks on High Voltage DC Transmission Damping Control

et al. 2018

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Hybrid AC/HVDC (AC-HVDC) grids have evolved to become huge cyber-physical systems that are vulnerable to cyber attacks because of the wide attack surface and increasing dependence on intelligent electronic devices, computing resources and communication networks. This paper, for the first time, studies the impact of cyber attacks on HVDC transmission oscillation damping control.Three kinds of cyber attack models are considered: timing attack, replay attack and false data injection attack. Followed by a brief introduction of the HVDC model and conventional oscillation damping control method, the design of three attack models is described in the paper. These attacks are tested on a modified IEEE New England 39-Bus AC-HVDC system. Simulation results have shown that all three kinds of attacks are capable of driving the AC-HVDC system into large oscillations or even unstable conditions.

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Section: Literature Surveymentioning

confidence: 99%

Impact of Cyber Attacks on High Voltage DC Transmission Damping Control

et al. 2018

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“…11 Based on this, IDR had been involved in integrated energy system and played a significant role. [12][13][14][15][16] In the actual scheduling, various factors such as price fluctuation, elastic coefficient accuracy, user behavior, and willingness to respond make the DR uncertain, which results in biased scheduling results. 17 It is necessary to study the impact of IDR on the scheduling results in the integrated energy system.…”

Section: Introductionmentioning

confidence: 99%

Low carbon multi‐objective scheduling of integrated energy system based on ladder light robust optimization

Zhang

Zhao

2020

Int Trans Electr Energ Syst

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Under the low carbon background, a multi‐objective scheduling model of electrical‐thermal integrated energy system which aims at minimizing the integrated operating costs and minimizing the carbon trading costs is established. The uncertainty of wind power brings new challenge to integrated energy systems. In recent years, light robust optimization has been effectively applied to solve the uncertainty of wind power. However, traditional light robust optimization has the shortcomings of over‐conservative decision or excessive violation of constraints. Therefore, light robustness coefficient is introduced to adjust the deterioration tolerance of the objective function. To constrain the relaxation, the relaxation threshold and the ladder penalty coefficient are defined to generate the ladder penalty cost. Then, the ladder light robust optimization is used to deal with the uncertainty of the source‐load sides and a multi‐objective scheduling model based on the ladder light robust optimization is proposed. Finally, the Multi‐objective Optimization Bacterial Colony Chemotaxis (MOBCC) algorithm is used to solve the model. Simulations results show that the proposed model can reduce the total costs by 5.56% and the wind power curtailment rate to 0.45%. Furthermore, different schemes are compared to verify that the ladder light robust optimization can provide a trade‐off between economy and conservation of the system.

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“…In [28], an autonomous demand response program is discussed in the smart energy hub framework, and the interactions between smart energy hubs are formulated as a non-cooperation game. In [29], the interactions among smart energy hubs are also formulated as a non-cooperation game, and the potential game method is employed to optimize the strategies for each energy hub. In [30], the strategic operation of the energy hubs in a competitive electricity market is investigated, time of use and dynamic power pricing schemes are compared, and an efficient algorithm for the energy management of energy hubs is proposed.…”

Section: Introductionmentioning

confidence: 99%

A Real-Time Pricing Scheme for Energy Management in Integrated Energy Systems: A Stackelberg Game Approach

Hao

et al. 2018

Energies

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This paper proposes a real-time pricing scheme for the demand response management between one energy provider and multiple energy hub operators. A promising energy trading scenario has been designed for the near future integrated energy system. The Stackelberg game approach was employed to capture the interactions between the energy provider (leader) and energy consumers (follower). A distributed algorithm was proposed to derive the Stackelberg equilibrium, then, the best strategies for the energy provider and each energy hub operator were explored in order to maximize their benefits. Simulation results showed that the proposed method can balance the energy supply and demand, improve the payoffs for all players, as well as smooth the aggregated load profiles of all energy consumers.

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A Decentralized Energy Management Framework for Energy Hubs in Dynamic Pricing Markets

Cited by 145 publications

References 22 publications

Impact of Cyber Attacks on High Voltage DC Transmission Damping Control

Impact of Cyber Attacks on High Voltage DC Transmission Damping Control

Low carbon multi‐objective scheduling of integrated energy system based on ladder light robust optimization

A Real-Time Pricing Scheme for Energy Management in Integrated Energy Systems: A Stackelberg Game Approach

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