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Gopalakrishnan, A., Raghunathan, A.U., Nikovski, D. and Biegler, L.T. (2012) Global Optimization of Optimal Power Flow Using a Branch & Bound Algorithm. 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Al-lerton), Monticello, 609-616. http://dx.doi.org/10.1109/allerton.2012.6483274

has been cited by the following article:

• TITLE: Applying Convex Optimal Power Flow to Combined Economic and Emission Dispatch

  AUTHORS: Zhao Yuan, Mohammad Reza Hesamzadeh

  KEYWORDS: CO2, Combined Econnomic and Emission Dispatch, Convex Optimal Power Flow

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.4 No.7, July 22, 2016

  ABSTRACT: This paper addresses the problem of reducing CO2 emissions by applying convex optimal power flow model to the combined economic and emission dispatch problem. The large amount of CO2 emissions in the power industry is a major source of global warming effect. An efficient and economic approach to reduce CO2 emissions is to formulate the emission reduction problem as emission dispatch problem and combined with power system economic dispatch (ED). Because the traditional optimal power flow (OPF) model used by the economic dispatch is nonlinear and nonconvex, current nonlinear solvers are not able to find the global optimal solutions. In this paper, we use the convex optimal power flow model to formulate the combined economic and emission dispatch problem. The advantage of using convex power flow model is that global optimal solutions can be obtained by using mature industrial strength nonlinear solvers such as MOSEK. Numerical results of various IEEE power network test cases confirm the feasibility and advantage of convex combined economic and emission dispatch (CCEED).