Abstract
This paper presents a multi-objective economic-environmental dispatch (MOEED) model for integrated thermal, natural gas, and renewable energy systems considering both pollutant emission levels and total fuel or generation cost aspects. Two cases are carried out with the IEEE 30-bus system by replacing thermal generation units into natural gas units to minimize the amount of toxin emission and fuel cost. Equality, inequality like active, reactive powers, prohibited operating zones (POZs) which represents poor operation in the generation cost function, and security constraints are considered as system constraints. Natural gas units (NGUs) are modeled in detail. Therefore, the flow velocity of gas and pressure pipelines are also considered as system constraints. Multi-objective optimization algorithms, namely multi-objective Harris hawks optimization (MOHHO) and multi-objective flower pollination algorithm (MOFPA) are employed to find Pareto optimal solutions of fuel or generation cost and emission together. Furthermore, the technique for order preference by similarity to ideal solution (TOPSIS) is proposed to obtain the best value of Pareto optimal solutions. Three scenarios are investigated to validate the effectiveness of the proposed model applied to the IEEE 30-bus system with the integration of variable renewable energy sources (VRESs) and natural gas units. The results obtained from Scenario III with NGUs installed instead of two thermal units reveal that the economic dispatching approach presented in this work can greatly minimize emission levels as 0.421 t/h and achieve lower fuel cost as 796.35 $/h. Finally, the results obtained show that the MOHHO outperforms the MOFPA in solving the MOEED problem.
Highlights
A significant increase in the ability of variable renewable energy sources (VRESs) capacity in modern electricity systems has been experienced in response to various environmental, technical, economic, social, and political issues [1,2]
Two optimization techniques of multi-objective Harris hawks optimization (MOHHO) and multi-objective flower pollination algorithm (MOFPA) are applied to the problem under study
This paper presents a multi-objective economic-environmental dispatch (MOEED) model for obtaining the best value of Pareto optimal solutions of an integrated IEEE 30-bus of thermal, natural gas, and variable renewable energy sources such as wind, PV, and PV-hydro considering both emission and total cost as a multi-objective function
Summary
A significant increase in the ability of variable renewable energy sources (VRESs) capacity in modern electricity systems has been experienced in response to various environmental, technical, economic, social, and political issues [1,2]. Different mathematical-based or heuristic-based optimization methods for multi-objective optimization had been introduced in many studies to solve the non-convex EED problem in power systems with and without the integration of VRESs [11]. The presented approach was applied to single and multi-objective optimization techniques with many objectives such as minimization of generation costs, emissions, power loss, and maximization of the voltage stability of the systems studied. Biswas et al [20] presented the MOEA/D to minimize multiple objectives of emissions, costs, power losses, and voltage deviations in an IEEE 30-bus and IEEE 57-bus systems to solve the MOEED problem with a limited number of handling constraints.
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