Hybrid Sine–Cosine Algorithm with Flower Pollination Algorithm for Economic Dispatch Problem with Valve-Point Effects and Wind Power Integration

2021 ◽  
Author(s):  
Dinu Calin Secui ◽  
Nicolae Rancov
Keyword(s):  
Wind Power ◽  
Economic Dispatch ◽  
Flower Pollination Algorithm ◽  
Wind Power Integration ◽  
Flower Pollination ◽  
Sine Cosine Algorithm ◽  
Economic Dispatch Problem

scholarly journals Correction to: Flower Pollination Algorithm Applied to the Economic Dispatch Problem with Multiple Fuels and Valve Point Effect

2017 ◽  
pp. C1-C1
Author(s):  
Rafael Ochsendorf G. Souza ◽  
Ezequiel Silva Oliveira ◽  
Ivo Chaves Silva Junior ◽  
André Luís Marques Marcato ◽  
Marcos T. B. de Oliveira
Keyword(s):  
Economic Dispatch ◽  
Flower Pollination Algorithm ◽  
Flower Pollination ◽  
Valve Point Effect ◽  
Economic Dispatch Problem

Flower Pollination Algorithm Applied to the Economic Dispatch Problem with Multiple Fuels and Valve Point Effect

2017 ◽  
pp. 260-270 ◽  
Author(s):  
Rafael Ochsendorf G. Souza ◽  
Ezequiel Silva Oliveira ◽  
Ivo Chaves Silva Junior ◽  
André Luís Marques Marcato ◽  
Marcos T. B. de Oliveira
Keyword(s):  
Economic Dispatch ◽  
Flower Pollination Algorithm ◽  
Flower Pollination ◽  
Valve Point Effect ◽  
Economic Dispatch Problem

scholarly journals Combined Emission Economic Dispatch of Power System in Presence of Solar and Wind Using Flower Pollination Algorithm

2019 ◽  
Vol 38 (3) ◽  
pp. 581-598
Author(s):  
Anum Abid ◽  
Tahir Nadeem Malik ◽  
Muhammad Mansoor Ashraf
Keyword(s):  
Power System ◽  
Economic Dispatch ◽  
Electrical Energy ◽  
Operational Planning ◽  
Flower Pollination Algorithm ◽  
Potential Solution ◽  
Renewable Energy Resources ◽  
Flower Pollination ◽  
Nonconvex Constrained Optimization ◽  
Output Characteristics

ED (Economic Dispatch) problem is one of the vital step in operational planning. It is a nonconvex constrained optimization problem. However, it is solved as convex problem by approximation of machine input/output characteristics, thus resulting in an inaccurate result. Reliable, secure and cheapest supply of electrical energy to the consumers is the prime objective in power system operational planning. Increase in fuel cost, reduction in fossil-fuel assets and ecological concerns have forced to integrate renewable energy resources in the generation mix. However, the instability of wind and solar power output affects the power network. For solution of such solar and wind integrated economic dispatch problems, evolutionary approaches are considered potential solution methodologies. These approaches are considered as potential solution methodologies for nonconvex ED problem. This paper presents CEED (Combined Emission Economic Dispatch) of a power system comprising of multiple solar, wind and thermal units using continuous and binary FPA (Flower Pollination Algorithm). Proposed algorithm is applied on 5, 6, 15, 26 and 40 thermal generators by integrating several solar and wind plants, for both convex and non-convex ED problems. Proposed algorithm is simulated in MATLAB 2014b. Results of simulations, when compared with other approaches, show promise of the approach.

Sign in / Sign up

Export Citation Format

Share Document