BOOK-CHAPTER

Load Management Using Swarm Intelligence

Oliver DzoboYanxia Sun

Year: 2019 Advances in environmental engineering and green technologies book series Pages: 1-27   Publisher: IGI Global

Abstract

This chapter presents a generalized day-ahead combined dynamic economic emission dispatch (DEED) problem incorporating demand response (DR) strategy for power system networks with mutual communication between electricity customers and power utility. A nonconvex mixed binary integer programming technique is used to solve the demand response optimization problem. Fixed and flexible home appliances connected as load to the power system network are considered in the demand response strategy. The optimization of the DEED problem is done using particle swarm optimization (PSO) technique. The proposed PSO algorithm takes into account thermal power generation unit ramp rates and their power generation constraints.

Keywords:
Deed Particle swarm optimization Mathematical optimization Demand response Computer science Integer programming Swarm intelligence Electric power system Power (physics) Knapsack problem Electricity Engineering Mathematics Electrical engineering

Metrics

1
Cited By
0.00
FWCI (Field Weighted Citation Impact)
29
Refs
0.19
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Electric Power System Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Smart Grid Energy Management
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Optimal Power Flow Distribution
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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