Combined Heat and Power Stochastic Dynamic Economic Dispatch Using Particle Swarm Optimization Considering Load and Wind Power Uncertainties

Pouya Pourghasem, Farnaz Sohrabi, Farkhondeh Jabari, Behnam Mohammadi-Ivatloo, Somayeh Asadi

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Due to the increased cost of energy sources and related environmental problems, systems with higher efficiency such as combined heat and power (CHP) units are getting more popular. Renewable energy sources can be another alternative solution for the above mentioned problems. Scheduling of renewable-based systems are getting more complicated due to the intermittent behavior of these sources. In this chapter, a stochastic programming framework is utilized to model uncertainties in dynamic economic dispatch (DED) problem of CHP based systems integrating wind energy. Forecast errors of electrical load and wind power are assumed as the two sources of uncertainty. A heuristic method called particle swarm optimization (PSO) is used to attain optimal solution of the problem due to non-linearity, non-convexity, and complexity of the problem. The stochastic programming provides more comprehensive and realistic viewpoint about dispatch problem by considering a variety of most probable scenarios compared to a single scenario.

Original languageEnglish (US)
Title of host publicationStudies in Systems, Decision and Control
PublisherSpringer
Pages143-169
Number of pages27
DOIs
StatePublished - Jan 1 2020

Publication series

NameStudies in Systems, Decision and Control
Volume262
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Control and Systems Engineering
  • Automotive Engineering
  • Social Sciences (miscellaneous)
  • Economics, Econometrics and Finance (miscellaneous)
  • Control and Optimization
  • Decision Sciences (miscellaneous)

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    Pourghasem, P., Sohrabi, F., Jabari, F., Mohammadi-Ivatloo, B., & Asadi, S. (2020). Combined Heat and Power Stochastic Dynamic Economic Dispatch Using Particle Swarm Optimization Considering Load and Wind Power Uncertainties. In Studies in Systems, Decision and Control (pp. 143-169). (Studies in Systems, Decision and Control; Vol. 262). Springer. https://doi.org/10.1007/978-3-030-34050-6_7