Multi-level distributed demand response study for a multi-park integrated energy system

Zhang, Gang; Niu, Yunyi; Xie, Tao; Zhang, Kaoshe

doi:10.1016/j.egyr.2023.01.105

Cited by 12 publications

(2 citation statements)

References 30 publications

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“…Demand response means that when the load rises (falls) sharply or the generation side fluctuates, EV users temporarily change their electricity consumption behavior and reduce (increase) electricity consumption after receiving electricity prices or incentives. The purpose of demand response is to promote the balance of power supply and demand, ensure the stable operation of the power grid, and restrain the short-term behavior of electricity price increases [69].…”

Section: Demand Responsementioning

confidence: 99%

Integrating Electric Vehicles to Power Grids: A Review on Modeling, Regulation, and Market Operation

Jia,

Ma,

et al. 2023

Energies

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Fossil energy consumption and environmental protection issues have pushed electric vehicles (EVs) to become one of the alternatives to traditional fossil-fuel vehicles. EV refers to a vehicle that uses electric energy as power and is driven by an electric motor. The electric energy of EVs is stored in batteries. When the EV is not traveling, the battery can provide power for other loads. Therefore, with the increase in the number of EVs and the load of the power grid, the EV-to-grid (V2G) mode, which uses EVs to supply power to the power grid, has gradually entered the field of vision of researchers. The physical connection mode, charge and discharge technology, and energy management strategy are the main topics of the current review papers; however, there is a lack of systematic research on V2G modeling, framework, and business models. This paper describes the concepts of the spatio-temporal distribution model and the adjustable capacity of EVs. In addition, common constraints and methods in optimization are introduced. Moreover, this paper introduces the interactive relationship among power grids, load aggregators, and EV users. Furthermore, the business model of V2G is introduced and analyzed from various perspectives. Finally, the future development of V2G is pointed out. This paper’s goal is to provide an overview of the present V2G application scenarios and to identify any challenges that must be overcome.

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Section: Demand Responsementioning

confidence: 99%

Integrating Electric Vehicles to Power Grids: A Review on Modeling, Regulation, and Market Operation

Jia,

Ma,

et al. 2023

Energies

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“…It will be a significant waste of public resources to invest in several transmission lines and peak-frequency regulation facilities with low annual usage hours in an attempt to increase the power system's WPVP consumption and supply-demand balance [5]. Demand response (DR) is regarded as a workable response technique that modifies user behavior related to power consumption in order to swiftly and efficiently resolve the conflict between supply and demand for electricity [6].…”

Section: Introductionmentioning

confidence: 99%

Wind and PV Power Consumption Strategy Based on Demand Response: A Model for Assessing User Response Potential Considering Differentiated Incentives

Zhao,

Wu,

Zhou

et al. 2024

Sustainability

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In China, the inversion between peak periods of wind and photovoltaic (PV) power (WPVP) generation and peak periods of electricity demand leads to a mismatch between electricity demand and supply, resulting in a significant loss of WPVP. In this context, this article proposes an improved demand response (DR) strategy to enhance the consumption of WPVP. Firstly, we use feature selection methods to screen variables related to response quantity and, based on the results, establish a response potential prediction model using random forest algorithm. Then, we design a subsidy price update formula and the subsidy price constraint conditions that consider user response characteristics and predict the response potential of users under differentiated subsidy price. Subsequently, after multiple iterations of the price update formula, the final subsidy and response potential of the user can be determined. Finally, we establish a user ranking sequence based on response potential. The case analysis shows that differentiated price strategy and response potential prediction model can address the shortcomings of existing DR strategies, enabling users to declare response quantity more reasonably and the grid to formulate subsidy price more fairly. Through an improved DR strategy, the consumption rate of WPVP has increased by 12%.

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Low-carbon optimal operation strategy of multi-park integrated energy system considering multi-energy sharing trading mechanism and asymmetric Nash bargaining

et al. 2023

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Multi-level distributed demand response study for a multi-park integrated energy system

Cited by 12 publications

References 30 publications

Integrating Electric Vehicles to Power Grids: A Review on Modeling, Regulation, and Market Operation

Integrating Electric Vehicles to Power Grids: A Review on Modeling, Regulation, and Market Operation

Wind and PV Power Consumption Strategy Based on Demand Response: A Model for Assessing User Response Potential Considering Differentiated Incentives

Low-carbon optimal operation strategy of multi-park integrated energy system considering multi-energy sharing trading mechanism and asymmetric Nash bargaining

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