Robust bidding strategy for multi-energy virtual power plant in peak-regulation ancillary service market considering uncertainties

Li, Yong; Deng, Youyue; Wang, Yahui; J, Lin; Shahidehpour, Mohammad

doi:10.1016/j.ijepes.2023.109101

Cited by 20 publications

(3 citation statements)

References 23 publications

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“…Document [8] proposes a strategy for VPP participating in power market under carbon trading mechanism. Document [9] proposes a bidding strategy model for maximizing the economic benefits of VPP considering green certificate-carbon trading interaction mechanism and market environment constraints, and document [10] proposes a day-ahead robust bidding strategy for MVPP participating in peak modulation market.…”

Section: Introductionmentioning

confidence: 99%

Two-stage regulation strategy of virtual power plant in electric energy markets

HUANG,

ZHANG,

RUAN

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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In the process of electric power marketization, virtual power plant (VPP) has the characteristics of flexibility, economy and sustainability, and is a very high-quality electric energy resource. In order to solve the income fluctuation problem of VPP caused by resource uncertainty, a two-stage day-ahead and intraday regulation strategy of VPP for electric energy markets is proposed. In the day-ahead dispatching model, various resources such as new energy predicted output, energy storage and gas engine are integrated, and the power grid is predicted dispatched in order to maximize the market in advance. Then, on the short time scale of the day, aiming at wind-photovoltaic power output deviation, the demand-side interactive resources are introduced to correct the market capacity deviation, aiming at maximizing the actual market income, and giving full play to the flexibility of the VPP to participate in the electric energy markets. Finally, an example is given to verify the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Two-stage regulation strategy of virtual power plant in electric energy markets

HUANG,

ZHANG,

RUAN

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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“…As an independent subject of aggregating distributed flexible resources, virtual power plant (VPP) has the characteristics of bidirectional power flow (Gholami et al, 2022;Li et al, 2022). It can not only be used as a controllable power source to intensify the power supply capacity and provide peaking services for the power grid (Li et al, 2023), but also as a controllable load to boost the consumption of power, cooperate with the system to realize valley filling, moderate the output and demand of the system, and ensure the power system stability. In addition to protecting the operation of the power system to earn compensation benefits, VPP can also engage in the power market at all levels such as capacity and electricity as an independent subject, and obtain economic benefits through market transactions (Wu et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Optimal scheduling of electricity-hydrogen coupling virtual power plant considering hydrogen load response

Luo,

Xu,

Fan

et al. 2024

Front. Energy Res.

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With the rapid development of hydrogen production by water electrolysis, the coupling between the electricity-hydrogen system has become closer, providing an effective way to consume surplus new energy generation. As a form of centralized management of distributed energy resources, virtual power plants can aggregate the integrated energy production and consumption segments in a certain region and participate in electricity market transactions as a single entity to enhance overall revenue. Based on this, this paper proposes an optimal scheduling model of an electricity-hydrogen coupling virtual power plant (EHC-VPP) considering hydrogen load response, relying on hydrogen to ammonia as a flexibly adjustable load-side resource in the EHC-VPP to enable the VPP to participate in the day-ahead energy market to maximize benefits. In addition, this paper also considers the impact of the carbon emission penalty to practice the green development concept of energy saving and emission reduction. To validate the economy of the proposed optimization scheduling method in this paper, the optimization scheduling results under three different operation scenarios are compared and analyzed. The results show that considering the hydrogen load response and fully exploiting the flexibility resources of the EHC-VPP can further reduce the system operating cost and improve the overall operating efficiency.

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“…In order to meet the challenge of global low-carbon development, a multiobjective optimal scheduling model considering the participation of the park-level integrated energy system in the EM is proposed by , which takes into account multiple uncertainties on the renewable energy and load. Li et al (2023c) analyzed the impact of uncertainties for the multi-energy virtual power plant on the peak-regulation market, and the operation mechanism for the multi-energy virtual power plant in the peakregulation market is proposed by considering the integrated demand response. As a user-side system, SMIPs can participate in electricity trading under the management of SMIP operators (Davoudi and Moeini-Aghtaie, 2022), which can develop the hierarchical structure of the EM (Pownall et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Stackelberg game-based optimal electricity trading method for distribution networks with small-micro industrial parks

Chen,

Ye,

et al. 2024

Front. Energy Res.

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In order to improve the operating benefits of the distribution network (DN) and reduce the energy consumption costs of small-micro industrial parks (SMIPs), a two-layer optimal electricity trading method for DN with SMIPs is proposed. First, based on the Stackelberg game, a multi-objective two-layer optimal trading model for DN and SMIP is established. In the upper layer, the DN agent is regarded as the leader, and a trading model is established with the goal of maximizing the profits of agents. In the lower layer, an energy optimization model is proposed for the SMIP operators, which are regarded as the followers, with the goal of minimizing the operating costs. According to the buying and selling electricity prices at the upper and lower layers, a dynamic pricing strategy is formulated. The Karush–Kuhn–Tucker condition (KKT) is introduced to transform the two-layer model into a single-layer model, and based on linear transformations, the model is further converted into a mixed-integer linear programming model. The transformations aim to address the non-linear issues arising from multivariable coupling between the upper and lower-layer trading models. The simulation results show that the trading strategy proposed in this paper can effectively increase the profit of DNs while reducing the operating costs of SMIPs and can provide a reference for decision-making in the electricity market (EM) with the participation of SMIP.

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Robust bidding strategy for multi-energy virtual power plant in peak-regulation ancillary service market considering uncertainties

Cited by 20 publications

References 23 publications

Two-stage regulation strategy of virtual power plant in electric energy markets

Two-stage regulation strategy of virtual power plant in electric energy markets

Optimal scheduling of electricity-hydrogen coupling virtual power plant considering hydrogen load response

Stackelberg game-based optimal electricity trading method for distribution networks with small-micro industrial parks

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