A Method for Optimal Load Dispatch of a Multi-zone Power System with Zonal Exchange Constraints

Hazarika, Dibya Jyoti; Das, Ranjay

doi:10.1007/s40031-017-0309-1

Cited by 2 publications

(1 citation statement)

References 31 publications

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“…A solution method for the MAED problem with zonal exchange constraints is presented in, 96 which can be represented in a two-step multi-zone generation scheduling framework. The primary step deals with the optimal allocation of individual zones having surplus/deficient power generation with adequate SR, and the next step deals with the optimal distribution of inter-zonal power exchange based on zonal exchange constraints.…”

Section: Methodologiesmentioning

confidence: 99%

A comprehensive review of soft computing algorithms for optimal generation scheduling

et al. 2020

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Summary Strategic planning for optimal operation of modern power systems has always been a significant task to satisfy the techno‐social aspects in the sustainable energy scenario. In the light of restructured power systems and decentralized generation, the economic dispatch (ED) problem has remained the utmost important economic assignment for the network operators. The conventional techniques have failed to address the nonlinear characteristics of generators for solving the practical ED problem. The complications identified in the literature are valve point loading, prohibited operating zones, multiple fuels, ramp rate limits, and spinning reserve. Therefore, a diverse range of traditional and modern optimization techniques have been adopted to tackle those complexities and nonlinearities. With the recent advancements in centralized optimization techniques, several research works were reported in the past decade to accomplish better results. This review paper endeavors to cover the pioneering research on centralized approaches as well as present‐day research trends on decentralized and distributed approaches by focusing on the economic aspects. First, a detailed survey of several deterministic, stochastic, nature‐inspired, and meta‐heuristic based centralized approaches for solving the ED problem is reviewed. A brief analysis based on the performance evaluation of centralized algorithms on six standard test systems is presented. Then, the recent literature on decentralized and distributed optimization approach and the consensus protocols with respect to various network topologies is briefly reviewed. The prime objective of this review is to summarize the centralized, decentralized, and distributed approaches to solve the classic dispatch, dynamic dispatch, economic emission dispatch, and multi‐area ED problems.

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Section: Methodologiesmentioning

confidence: 99%

A comprehensive review of soft computing algorithms for optimal generation scheduling

et al. 2020

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Intelligent Power System Control and Healthcare Data Analysis

Yadav,

Das

2024

Advances in Medical Technologies and Clinical Practice

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The aim of this research is to develop PID (proportional integral derivative) controllers for a variable load two-area intelligent power system (multi-area intelligent power system) in the context of healthcare data analysis. PID controllers are used in the present healthcare business to improve the healthcare industry. It is still debatable how the settings should be changed to create a PID controller that is dependable, adaptable, and effective. In this research, a better PID gain is demonstrated using the particle swarm optimization (PSO) algorithm. The automatic generation control (AGC) for a two-area intelligent power system in healthcare industry has been built using a PID controller and a PSO-based method. To improve frequency response and settling time of healthcare industry equipment in accident and emergency cases (A and E), a PSO-based PID controller generates and transmits the two control signals to the two regions for the algorithm convergence in emergency cases as per MATLAB/Simulink result.

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A Method for Optimal Load Dispatch of a Multi-zone Power System with Zonal Exchange Constraints

Cited by 2 publications

References 31 publications

A comprehensive review of soft computing algorithms for optimal generation scheduling

A comprehensive review of soft computing algorithms for optimal generation scheduling

Intelligent Power System Control and Healthcare Data Analysis

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