Sobhani et al., 2022 - Google Patents
Combinatorial price offer for a wind turbine with flexible load considering the uncertainty to increase the benefit of wind turbineSobhani et al., 2022
View PDF- Document ID
- 4783479156765633963
- Author
- Sobhani B
- Afzal S
- Publication year
- Publication venue
- Advances in Engineering and Intelligence Systems
External Links
Snippet
Wind energy is one of the most important renewable energies in the present and future. However, one of the significant challenges is offering amount of generation and generation price in the next-day market because, on one hand, this energy has nonlinear behavior, and …
- 230000001537 neural 0 abstract description 3
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation and communication or information technologies
- Y04S50/14—Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Communication or information technology specific aspects supporting electrical power generation, transmission, distribution or end-user application management
- Y04S40/20—Information technology specific aspects
- Y04S40/22—Computer aided design [CAD]; Simulation; Modelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
- G06Q30/0202—Market predictions or demand forecasting
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Khaloie et al. | Coordinated wind-thermal-energy storage offering strategy in energy and spinning reserve markets using a multi-stage model | |
| Imani et al. | Demand response modeling in microgrid operation: a review and application for incentive-based and time-based programs | |
| Kiptoo et al. | Integrated approach for optimal techno-economic planning for high renewable energy-based isolated microgrid considering cost of energy storage and demand response strategies | |
| Khaloie et al. | Optimal behavior of a hybrid power producer in day-ahead and intraday markets: A bi-objective CVaR-based approach | |
| Elgamal et al. | Optimization of a multiple-scale renewable energy-based virtual power plant in the UK | |
| Akbari et al. | Stochastic programming-based optimal bidding of compressed air energy storage with wind and thermal generation units in energy and reserve markets | |
| Jamali et al. | Self-scheduling approach to coordinating wind power producers with energy storage and demand response | |
| Mansouri et al. | Demand response role for enhancing the flexibility of local energy systems | |
| Mirzaei et al. | A novel hybrid two-stage framework for flexible bidding strategy of reconfigurable micro-grid in day-ahead and real-time markets | |
| Shafiee et al. | Developing bidding and offering curves of a price-maker energy storage facility based on robust optimization | |
| Sadeghian et al. | Risk-constrained stochastic optimal allocation of energy storage system in virtual power plants | |
| Nazari-Heris et al. | Network constrained economic dispatch of renewable energy and CHP based microgrids | |
| Peik-Herfeh et al. | Decision making of a virtual power plant under uncertainties for bidding in a day-ahead market using point estimate method | |
| Jia et al. | A bilevel model for optimal bidding and offering of flexible load aggregator in day-ahead energy and reserve markets | |
| Lee et al. | Optimal operation strategy of virtual power plant considering real-time dispatch uncertainty of distributed energy resource aggregation | |
| Sobhani et al. | Combinatorial price offer for a wind turbine with flexible load considering the uncertainty to increase the benefit of wind turbine | |
| Imani et al. | Running direct load control demand response program in microgrid by considering optimal position of storage unit | |
| Aziz et al. | A three-stage multi-objective optimization framework for day-ahead interaction between microgrids in active distribution networks considering flexible loads and energy storage systems | |
| Ryu et al. | Virtual power plant operation strategy under uncertainty with demand response resources in electricity markets | |
| Nazari et al. | Joint investment of community energy storage systems in distribution networks using modified Nash bargaining theory | |
| Lopes et al. | Design of water pumped storage systems: A sensitivity and scenario analysis for island microgrids | |
| Nikpour et al. | Stochastic-risk based approach for Microgrid participation in joint active, reactive, and ancillary services markets considering demand response | |
| Ansari et al. | GenCo's mid‐term optimal operation analysis: interaction of wind farm, gas turbine, and energy storage systems in electricity and natural gas markets | |
| Xie et al. | Risk-based bidding and offering strategies of the compressed air energy storage using downside risk constraints | |
| Hajiaghapour-Moghimi et al. | Cryptocurrency mining as a novel virtual energy storage system in islanded and grid-connected microgrids |