Flower Pollination Algorithm Tuned PID Controller for Multi-source Interconnected Multi-area Power System

2021 ◽  
pp. 221-239
Author(s):  
K. Jagatheesan ◽  
B. Anand ◽  
Sourav Samanta
Keyword(s):  
Power System ◽  
Pid Controller ◽  
Flower Pollination Algorithm ◽  
Flower Pollination

scholarly journals Application of Flower Pollination Algorithm for Optimally Tuning Zeigler Nichols Parameters for PID Controller to Enhance Transient Stability through SV

2019 ◽  
Vol 8 (6) ◽  
pp. 115-126
Keyword(s):  
Power Systems ◽  
Power System ◽  
Pid Controller ◽  
Transient Stability ◽  
System Stability ◽  
Flower Pollination Algorithm ◽  
Electrical Networks ◽  
Large Power ◽  
Dynamic Tuning ◽  
Flower Pollination

With the evolution of electrical networks, the complexity and non linearity of modern power systems has enhanced exponentially. In order to reduce these potentially harmful oscillations, power system stabilizers (PSS) are introduced in generators of modern power systems. The PSS brings the system back to a stable and balanced state and re-establishes the pre-fault performance of the system after removal of disturbance and restoration of line. However utilization of PSS in certain cases of increased transmission line loading and other significant faults is not very effective and is rather time consuming. These days to acquire better control and quality of power, FACTS devices are being commonly used in large power systems. When SVC, a versatile FACTS device is used simultaneously with PSS, there is not only improvement in power transfer capability and controllability but also a distinct enhancement in power system stability. In order to increase the performance of the conventional PID controller of the PSS, it is tuned with a very simple and quick tuning method called Zeigler Nichols (ZN) which provides very fast elimination to disturbances in power system. However the conventional and ZN based PID controllers are confined only to linear control of power system. To further enhance the dynamic tuning process in order to obtain much faster and better transient as well as dynamic stability, a very adaptable and robust nature inspired technique of Flower Pollination Algorithm (FPA) is used to tune the ZN based PID controller. To realise the system transient stability for the conventional and proposed method, root locus and total harmonic distortion techniques have been adopted. The results ultimately reveal the efficacy and productiveness of FP based ZN- PID in successfully damping out inter area oscillations thus reducing the harmonics and improving overall stability in power systems as compared to other tuning methods

PID Controller Based on Flower Pollination Algorithm of Flexible Beam System

2021 ◽  
pp. 173-183
Author(s):  
Ali Akhbar Mohd Fadzli ◽  
Muhamad Sukri Hadi ◽  
Rickey Ting Pek Eek ◽  
Mat Hussin Ab. Talib ◽  
Hanim Mohd Yatim ◽  
...  
Keyword(s):  
Pid Controller ◽  
Flower Pollination Algorithm ◽  
Flexible Beam ◽  
Flower Pollination ◽  
Beam System ◽  
Flexible Beam System

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.

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 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.

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