Guo et al., 2012 - Google Patents
Dynamic economic emission dispatch based on group search optimizer with multiple producersGuo et al., 2012
- Document ID
- 9085524496115492718
- Author
- Guo C
- Zhan J
- Wu Q
- Publication year
- Publication venue
- Electric power systems research
External Links
Snippet
This paper presents a new method for dynamic economic emission dispatch (DEED) of power systems, using a novel multi-objective evolutionary algorithm, group search optimizer with multiple producers (GSOMP) that includes a constraint handling scheme introduced to …
- 239000003344 environmental pollutant 0 abstract description 17
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
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
-
- 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"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
-
- 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
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
- G06F2217/78—Power analysis and optimization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/12—Computer systems based on biological models using genetic models
- G06N3/126—Genetic algorithms, i.e. information processing using digital simulations of the genetic system
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
-
- 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
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Guo et al. | Dynamic economic emission dispatch based on group search optimizer with multiple producers | |
Zhao et al. | Modified cuckoo search algorithm to solve economic power dispatch optimization problems | |
Zheng et al. | Energy-efficient scheduling for multi-objective two-stage flow shop using a hybrid ant colony optimisation algorithm | |
Reddy et al. | Optimal power flow using glowworm swarm optimization | |
Lei et al. | A shuffled frog-leaping algorithm for flexible job shop scheduling with the consideration of energy consumption | |
Amjady et al. | Solution of non-convex economic dispatch problem considering valve loading effect by a new modified differential evolution algorithm | |
Cai et al. | A hybrid CPSO–SQP method for economic dispatch considering the valve-point effects | |
Pandi et al. | Economic load dispatch using hybrid swarm intelligence based harmony search algorithm | |
Makhadmeh et al. | Recent advances in Grey Wolf Optimizer, its versions and applications | |
Jeddi et al. | A modified harmony search method for environmental/economic load dispatch of real-world power systems | |
Li et al. | Optimal power system dispatch with wind power integrated using nonlinear interval optimization and evidential reasoning approach | |
Basu | Fuel constrained economic emission dispatch using nondominated sorting genetic algorithm-II | |
Adaryani et al. | Artificial bee colony algorithm for solving multi-objective optimal power flow problem | |
Roy et al. | Quasi-oppositional biogeography-based optimization for multi-objective optimal power flow | |
Shi et al. | Hybrid algorithm based on improved extended shifting bottleneck procedure and GA for assembly job shop scheduling problem | |
CN107579518B (en) | Power system environment economic load dispatching method and apparatus based on MHBA | |
Hu et al. | Bi-level robust dynamic economic emission dispatch considering wind power uncertainty | |
Sedighizadeh et al. | Hybrid approach to FACTS devices allocation using multi-objective function with NSPSO and NSGA-II algorithms in Fuzzy framework | |
Ghasemi | Application of MOPSO for economic load dispatch solution with transmission losses | |
Krishnanand et al. | Application of multi-objective teaching-learning-based algorithm to an economic load dispatch problem with incommensurable objectives | |
Nguyen et al. | Cuckoo search algorithm for optimal placement and sizing of static var compensator in large-scale power systems | |
Wang et al. | Robust multi-objective optimization for energy production scheduling in microgrids | |
Xu et al. | Many-objective flow shop scheduling optimisation with genetic algorithm based on fuzzy sets | |
Dhaliwal et al. | Modified binary differential evolution algorithm to solve unit commitment problem | |
Jin et al. | Dispatching strategies for coordinating environmental awareness and risk perception in wind power integrated system |