An Enhanced Flower Pollination Algorithm for Power System Economic Load Dispatch

2021 ◽  
pp. 77-86
Author(s):  
Hung-Peng Lee ◽  
Trong-The Nguyen ◽  
Thi-Kien Dao ◽  
Van-Dinh Vu ◽  
Truong-Giang Ngo
Keyword(s):  
Power System ◽  
Flower Pollination Algorithm ◽  
Economic Load Dispatch ◽  
Flower Pollination

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.

scholarly journals Flower Pollination Algorithm to Solve Dynamic Economic Loading of Units with Practical Constraints

2019 ◽  
Vol 8 (3) ◽  
pp. 535-542
Keyword(s):  
Flower Pollination Algorithm ◽  
Economic Load Dispatch ◽  
Power Losses ◽  
Complex Issue ◽  
Flower Pollination ◽  
Valve Point Effect ◽  
Non Linear ◽  
Simulation Results ◽  
Practical Constraints

Dynamic h“economic load dispatch (DELD) aims to obtain optimum generation schedule of the committed generating units’ output over ha certain timing horizon”, sustaining practical restrictions and power demands in each period.”Valve-point effect, the ramp up/down limits, prohibited operation zones (POZs), and power losses form the hDELD has ha complex, non-linear liable’ problem. The Flower Pollination Algorithm (FPA) his therefore anticipated in this paper to solve such a complex issue. The practicality of the proposed FPA method is assessed by conducting simulations at different load patterns hon standard 5-unit and 10-unit systems for ha 24-hour schedule. The FPA's simulation results hare related to other previously published biography techniques. These results clearly show that the skill hand robustness hof the proposed FPA method to solve the non h- linear DELD problem has been restricted.

scholarly journals Comparison Investigation into Power System Optimization and Constraint-Based Generator Load Scheduling Using Metaheuristic Algorithms

2021 ◽  
Vol 19 (2) ◽  
pp. 200-208
Author(s):  
D. S. Naga Malleswara Rao ◽  
Dogga Raveendhra ◽  
Devineni Gireesh Kumar ◽  
Bharat Kumar Narukullapati ◽  
Davu Srinivasa Rao ◽  
...  
Keyword(s):  
Power System ◽  
Transmission Loss ◽  
Optimization Technique ◽  
System Optimization ◽  
Flower Pollination Algorithm ◽  
Fuel Cost ◽  
Power System Optimization ◽  
Flower Pollination ◽  
Single Function ◽  
Penalty Factor

In this paper, a novel flower pollination algorithm (FPA) is implemented to solve the problem of combined economic emission dispatch (CEED) in the power system. The FPA is a new metaheuristic optimization technique, which takes a biological approach to flower pollination. The FPA mimics the characteristics of flower pollination according to the survival of the fittest concept. CEED represents a combination of the emission and economic dispatch functions, formulated into a single function using the penalty factor. In this paper, the effect of valve point loading in the power system network is considered to obtain minimum fuel cost, minimum emissions, and optimum power generation. The performance of the proposed algorithm is evaluated using two test systems, namely 10 and 14 generating units by contemplating the valve point loading effect as well as transmission loss. The results of the 10 and 14 system units are compared with a learning-based optimization technique to demonstrate the effectiveness of the FPA. The findings reveal that the proposed FPA gives better performance than other algorithms with minimum fuel cost and emissions.

scholarly journals Optimal Power Flow Using Flower Pollination Algorithm: A Case Study of 500 kV Java-Bali Power System

2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Fredi Prima Sakti ◽  
Sarjiya Sarjiya ◽  
Sasongko Pramono Hadi
Keyword(s):  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Optimization Problems ◽  
Flower Pollination Algorithm ◽  
Flower Pollination ◽  
Optimal Power ◽  
Metaheuristic Methods ◽  
Owned Company

Flower Pollination Algorithm (FPA) is one of metaheuristic methods that is widely used in optimization problems. This method was inspired by the nature of flower pollination. In this research, FPA is applied to solve Optimal Power Flow (OPF) problems with case study of 500 kV Java-Bali power system in Indonesia. The system consists of 25 bus with 30 lines and 8 generating units. Control variables are generation of active power and voltage magnitude at PV bus and swing bus under several power system constraints. The results show that FPA method is capable of solving OPF problem. This method decreased the generator fuel cost of PT. PLN (Persero), the state-owned company in charge of providing electricity in Indonesia, up to 13.15%.

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