A tri-layer decision-making framework for IES considering the interaction of integrated demand response and multi-energy market clearing

Yao, Wenliang; Wang, Chengfu; Yang, Ming; Wang, Kang; Dong, Xiaoming; Zhang, Zhenwei

doi:10.1016/j.apenergy.2023.121196

Cited by 21 publications

(3 citation statements)

References 38 publications

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“…Researching the integrated demand response for multi-energy synergy is crucial to establish a favorable interaction between the supply and demand sides of IES. The integrated demand response expands upon the classic paradigm by encouraging consumers to modify their demand for multiple energy sources through incentives or discounts, thereby influencing their demand for additional energy sources [30,31]. This approach moves beyond the traditional concept of the demand response, which focuses on modifying the electricity demand through prices or incentives to achieve supply-demand equilibrium.…”

Section: Integrated Energy Systemmentioning

confidence: 99%

Optimal Scheduling Strategy for Multi-Energy Microgrid Considering Integrated Demand Response

Wang

2023

Energies

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Research on energy storage plants has gained significant interest due to the coupled dispatch of new energy generation, energy storage plants, and demand-side response. While virtual power plant research is prevalent, there is comparatively less focus on integrated energy virtual plant station research. This study aims to contribute to the integrated energy virtual plant station research by exploring the relationship between the integrated energy electro-thermal coupling capacity, various forms of electro-thermal integrated energy response, and electro-thermal integrated energy storage. Analyzing the attributes of an integrated energy microgrid, including energy storage characteristics, time-of-use tariffs, and electric and thermal loads, is crucial. A grid-connected microgrid with cogeneration systems, electric boilers, fuel cells, and energy storage systems is used as an illustrative example. The dispatching method prioritizes multiple complementary energy sources while considering the integrated energy demand response. The study presents different models for the electricity demand and thermal energy demand response and introduces the design of a wholesale power trader involved in building energy storage facilities and participating in the demand response. To verify the feasibility and rationality of the integrated energy demand response scenario, three different schemes are compared, and an economic analysis is conducted.

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Section: Integrated Energy Systemmentioning

confidence: 99%

Optimal Scheduling Strategy for Multi-Energy Microgrid Considering Integrated Demand Response

Wang

2023

Energies

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“…−∆L e max ≤ ∆L e t ≤ ∆L e max (23) −∆L g max ≤ ∆L g t ≤ ∆L g max (24) where ∆L e max and ∆L g max are, respectively, the allowable upper limits of ∆L e t and ∆L g t .…”

Section: Demand Responsementioning

confidence: 99%

“…Ref. [23], guided by cooperative game theory, examines different integrated energy investment players and their capacity planning under the mode of cooperation and uses the Shapley value method to distribute benefits among players, so as to improve the enthusiasm of multiple IES players to engage in collaborative operation. Non-cooperative game discusses the existence of a Nash equilibrium, focusing on the competition between multiple players.…”

Section: Introductionmentioning

confidence: 99%

Research on Integrated Energy Distributed Sharing in Distribution Network Considering AC Power Flow and Demand Response

Shi,

Zhang,

Zhou

et al. 2023

Sustainability

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Under the constraint of the AC power flow architecture considering reactive power regulation, the examination of integrated energy distributed transactions among multiple subsystems can promote the research in the field of energy sharing. It is difficult to fully cover the consideration of AC power flow, demand response, integrated energy, and other factors in traditional related research. In response, a study is therefore conducted in this paper on integrated energy sharing in the distribution network. First, this paper introduces the system operation framework of the proposed distribution network model, and explains the interaction between all the players. Secondly, a distribution network power flow model and an integrated energy subsystem model are respectively. In particular, the subsystem model specifically considers new energy, demand response, integrated energy, and other factors. Then, a cooperative game model is constructed based on the cooperative relationship among subsystems in the distribution network system, followed by the analysis of the benefits brought by cooperation to the distribution network and the subsystems themselves. Finally, a distributed solution flow is established for the model based on the Alternating Direction Method of Multipliers (ADMM) algorithm. The results of the example analysis reveal the effectiveness of the model proposed in increasing the degree of energy utilization and further absorbing new energy in the distribution network system, each subsystem can generate up to 12% more absorption capacity than it would otherwise operate separately to accommodate more renewable energy in the distribution system.

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Pipe sharing: A bilevel optimization model for the optimal capacity allocation of natural gas network

Zhao,

Liao,

Qiu

et al. 2024

Applied Energy

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A tri-layer decision-making framework for IES considering the interaction of integrated demand response and multi-energy market clearing

Cited by 21 publications

References 38 publications

Optimal Scheduling Strategy for Multi-Energy Microgrid Considering Integrated Demand Response

Optimal Scheduling Strategy for Multi-Energy Microgrid Considering Integrated Demand Response

Research on Integrated Energy Distributed Sharing in Distribution Network Considering AC Power Flow and Demand Response

Pipe sharing: A bilevel optimization model for the optimal capacity allocation of natural gas network

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