Journal ArticleDOI
Optimal bidding strategy of a renewable-based virtual power plant including wind and solar units and dispatchable loads
TLDR
In this paper, the authors proposed an Information Gap Decision Theory (IGDT) to model the uncertainties of the market uncertainties in a virtual power plant (VPP) scheduling problem and investigated the role of the renewable-based VPP in minimizing emission and maximizing profit.About:
This article is published in Energy.The article was published on 2022-01-15. It has received 29 citations till now. The article focuses on the topics: Dispatchable generation & Virtual power plant.read more
Citations
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A stochastic model for participation of virtual power plants in futures markets, pool markets and contracts with withdrawal penalty
TL;DR: In this article , the authors developed a risk-averse two-stage stochastic model for participation of heat and power virtual power plants in futures markets, pool markets and contracts with withdrawal penalty.
Journal ArticleDOI
Storage-integrated virtual power plants for resiliency enhancement of smart distribution systems
Ghasem Piltan,Sasan Pirouzi,Alireza Azarhooshang,Ahmad Rezaee Jordehi,Ali Paeizi,Mojtaba Ghadamyari +5 more
TL;DR: In this article , a hybrid metaheuristic optimization algorithm, based on combination of krill herd optimization and sine-cosine algorithm, has been used to solve the proposed optimization model and achieved results on the IEEE 69-bus SDN approve the significant capability of FRVPP's in improving the resiliency of the SDN against flood and earthquake.
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Bidding modes for renewable energy considering electricity-carbon integrated market mechanism based on multi-agent hybrid game
TL;DR: In this article , a hybrid game model was proposed to study the evolutionary process of renewable energy generation companies (GENCOs) in market trading by setting up three renewable energy bidding modes.
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Strategic bidding in a competitive electricity market: An intelligent method using Multi-Agent Transfer Learning based on reinforcement learning
TL;DR: In this paper , an intelligent strategic bidding theoretical framework in a competitive electricity market using MATL based on MARL and studies four MATL algorithms, including RNN, LSTM, GRU and BGRU.
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Bidding behaviors of GENCOs under bounded rationality with renewable energy
TL;DR: In this article , the authors proposed a novel bidding behavior model for GENCOs under bounded rationality with renewable energy to overcome the problems of strong assumptions, where all GENCO's observed bidding behaviors are proved to deviate from the simulated perfectly rational ones.
References
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Journal ArticleDOI
Robust optimization based optimal chiller loading under cooling demand uncertainty
TL;DR: This work proposes a robust optimization approach for uncertainty modeling of cooling demand in order to obtain robust chiller loading in the uncertain environment which cooling demand is supplied by multi-chiller system.
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Distribution Locational Marginal Pricing Through Quadratic Programming for Congestion Management in Distribution Networks
TL;DR: In this article, the authors proposed a distribution locational marginal pricing (DLMP) method through quadratic programming (QP) designed to alleviate the congestion that might occur in a distribution network with high penetration of flexible demands.
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Decision making of a virtual power plant under uncertainties for bidding in a day-ahead market using point estimate method
TL;DR: A probabilistic Price Based Unit Commitment (PBUC) approach using Point Estimate Method (PEM) is employed to model the uncertainty in market price and generation sources, for optimal bidding of a VPP in a day-ahead electricity market.
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RETRACTED: Risk-assessment of photovoltaic-wind-battery-grid based large industrial consumer using information gap decision theory
TL;DR: In this article, the energy procurement problem for a large electricity consumer is solved under various resources and the results of information gap decision theory are presented in three different strategies for the large consumer.
Journal ArticleDOI
Uncertainties of virtual power plant: Problems and countermeasures
TL;DR: Renewable power, market price and load demand are classified as major factors of uncertainties, and a comprehensive review of these three factors are given.