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).
Highlights
Electricity generation from fossil fuel based power plants is one major source of greenhouse gas emissions, [1] [2]
The convex combined economic and emission dispatch (CCEED) model is coded in the General Algebraic Modeling System (GAMS)
We prove the feasibility of using convex optimal power flow model to solve the combined economic and emission dispatch problem
Summary
Electricity generation from fossil fuel based power plants is one major source of greenhouse gas emissions, [1] [2]. Reference [4] formulate the combined economic and emission dispatch (CEED) by converting the bi-objective optimization problem to weighted single objective optimization. Reference [6] proposes to apply nondominated sorting genetic algorithm-II to find pareto-optimal solutions of the formulated dynamic economic emission dispatch problem in one single run. (2016) Applying Convex Optimal Power Flow to Combined Economic and Emission Dispatch. Current methods to solve optimal power flow problem include using DC OPF model and nonconvex AC OPF model. DC OPF neglect resistance parameter of power transmission lines These assumptions are valid for most high voltage power transmission networks. Though branch and bound is promising method to find global optimal solution of nonconvex AC OPF, the computation time of branch and bound method is too long to be implemented in practice especially for large scale networks, [11]. The advantage of convex methods in CCEED is that global optimal solutions can be guaranteed by mature nonlinear programming solvers such as MOSEK, [13]
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