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Load Management Using Swarm Intelligence: Dynamic Economic Emission Dispatch Optimization

Load Management Using Swarm Intelligence: Dynamic Economic Emission Dispatch Optimization
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Author(s): Oliver Dzobo (University of Johannesburg, South Africa) and Yanxia Sun (University of Johannesburg, South Africa)
Copyright: 2020
Pages: 27
Source title: Novel Advancements in Electrical Power Planning and Performance
Source Author(s)/Editor(s): Smita Shandilya (Sagar Institute of Research, Technology and Science, India), Shishir Kumar Shandilya (Vellore Institute of Technology, India), Tripta Thakur (Maulana Azad National Institute of Technology, India) and Atulya K. Nagar (Liverpool Hope University, UK)
DOI: 10.4018/978-1-5225-8551-0.ch001

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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.

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