Analysis of strategic bidding of a DER aggregator in energy markets through the Stackelberg game model with the mixed-integer lower-level problem

Lei, Zhenxing; Liu, Mingbo; Shen, Zhijun

doi:10.1016/j.ijepes.2023.109237

Cited by 3 publications

(1 citation statement)

References 29 publications

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“…In the lower-layer model, SMIP operators provide real-time feedback to the upper-layer agents based on the electricity trading prices provided by DNs and the real-time energy demands of the users (Lei et al, 2023). The optimization objective is to minimize the operating costs as follows:…”

Section: Lower-layer Optimization Model For Smip Operatorsmentioning

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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Section: Lower-layer Optimization Model For Smip Operatorsmentioning

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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The Use of Markov Chain Models for the Prediction of Power Demand and Market Share in Retail Electricity Markets

Zhang,

Ji,

Hao

et al. 2023

Proceedings of the 6th International Conference on Information Technologies and Electrical Engineering

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A Game-Theoretic Exploration with Surplus Profit-Sharing in a Three-Channel Supply Chain, Featuring E-Commerce Dynamics

Vatanara,

Rabbani,

Heydari

2024

Preprint

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In a three-channel supply chain, coordination can be especially challenging especially when a manufacturer has to work with a retailer and an online platform. In such a scenario, sales efforts can be critical to the success of the supply chain. However, there is a risk of free riding behavior by either the retailer or the manufacturer, which can lead to suboptimal sales performance. This article will explore the centralized and the decentralized models by the use of game theory (Nash and Stackelberg) and eventually tries to coordinate the three-channel supply chain with the help of Operational Research (OR) to optimize the decision-making and create a win-win situation. Numerical examples are provided to prove the efficiency of the presented models. Finally, the models are evaluated through sensitivity analysis, and managerial insights are provided to enhance the applicability of the models for coordinating a three-channel supply chain.

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Analysis of strategic bidding of a DER aggregator in energy markets through the Stackelberg game model with the mixed-integer lower-level problem

Cited by 3 publications

References 29 publications

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

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

The Use of Markov Chain Models for the Prediction of Power Demand and Market Share in Retail Electricity Markets

A Game-Theoretic Exploration with Surplus Profit-Sharing in a Three-Channel Supply Chain, Featuring E-Commerce Dynamics

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