Dynamic pricing strategy of electric vehicle aggregators based on DDPG reinforcement learning algorithm

D Liu, W Wang, L Wang, H Jia, M Shi - IEEE access, 2021 - ieeexplore.ieee.org
The fixed service charge pricing model adopted by traditional electric vehicle aggregators
(EVAs) is difficult to effectively guide the demand side resources to respond to the power …

基于多智能体强化学习的电力现货市场定价机制研究(一): 不同定价机制下发电商报价双层优化模型

唐成鹏, 张粒子, 刘方, 李雲建 - 中国电机工程学报, 2020 - epjournal.csee.org.cn
电力现货市场定价机制是市场设计的重点问题之一, 与发电商交易行为相互影响.
定价机制设计需要考虑发电商可能的交易行为, 而不同定价机制下发电商报价策略不同 …

Research on bidding strategy of thermal power companies in electricity market based on multi-agent deep deterministic policy gradient

D Liu, Y Gao, W Wang, Z Dong - IEEE access, 2021 - ieeexplore.ieee.org
With the continuous improvement of new energy penetration in the power system, the price
of the spot market of power frequently fluctuates greatly, which damages the income of a …

Reinforcement Learning-Based Market Game Model Considering Virtual Power Plants

D Yang, Y Wei, X Nie, L Zhao… - 2023 5th International …, 2023 - ieeexplore.ieee.org
Virtual power plant (VPP) gathers various types of resources and is a new participant in the
power market. The research on the market equilibrium state based on VPPs is helpful to …

Competitive co-evolutionary approach to stochastic modeling in deregulated electricity market

A Tiguercha, AA Ladjici… - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
the main purpose of the paper is to calculate supplier's optimal biding in a deregulated
electricity market, by calculating the Nash equilibrium strategies. In this paper we present the …

Dynamic Pricing Strategy of Virtual Power Plants Based on DDPG Reinforcement Learning Algorithm

H Jia, X Wang, X Zhang, D Liu - … Models and Reliable Operation of Virtual …, 2023 - Springer
The design of a reasonable incentive mechanism and a pricing model can improve the
operating revenues of VPPs, and also increase the benefits of DERs from providing services …

Optimal bidding strategy for GENCOs using reinforcement learning process based on the PAB model

MM Moghaddam, MR Langeroudi… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
The electricity market with open access enables participants to gain more profit out of the
bidding strategy. Every supplier tries to maximize its profit as a player in the market. The …

Day ahead a electricity market analysis through a neuroevolution algorithm

A Tiguercha, AA Ladjici, M Boudour… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
The ongoing changes in deregulated electricity markets creates a need of new tools for the
analysis and simulation of electricity markets. The current paper proposes a new …

[PDF][PDF] Short-term load Forecast Based on Neuro-evolution Algorithm

ATAALM BOUDOUR - researchgate.net
Load forecasting is an important tool in power system planning, operation and control. Load
forecasting ensures the equilibrium between consumption and production and, so, helps in …

[PDF][PDF] Analyse des Marchés d'électricité dérégulés avec les Méthodes Intelligentes

A Tiguercha - 2019 - dspace.usthb.dz
Résumé Dans ce travail, nous présentons une plate-forme basée sur les algorithmes
neuroévolutionnaires qui se base sur les systèmes multiagents afin d'analyser les …