Abstract
In this paper, Chaotic Artificial Ecosystem-based Optimization Algorithm (CAEO) is proposed and utilized to determine the optimal solution which achieves the economical operation of the electrical power system and reducing the environmental pollution produced by the conventional power generation. Here, the Combined Economic Emission Dispatch (CEED) problem is represented using a max/max Price Penalty Factor (PPF) to confine the system's nonlinearity. PPF is considered to transform a four-objective problem into a single-objective optimization problem. The proposed modification of AEO raises the effectiveness of the populations to achieve the best fitness solution by well-known 10 chaotic functions and this is valuable in both cases of the single and multi-objective functions. The CAEO algorithm is used for minimizing the economic load dispatch and the three bad gas emissions which are sulfur dioxide (SO2), nitrous oxide (NOx), and carbon dioxide (CO2). To evaluate the proposed CAEO, it is utilized for four different levels of demand in a 6-unit power generation (30-bus test system) and 11-unit power generation (69-bus test system) with a different value of load demand (1000, 1500, 2000, and 2500MW). Statistical analysis is executed to estimate the reliability and stability of the proposed CAEO method. The results obtained by CAEO algorithm are compared with other methods and conventional AEO to prove that the modification is to boost the search strength of conventional AEO. The results display that the CAEO algorithm is superior to the conventional AEO and the others in achieving the best solution to the problem of CEED in terms of efficient results, strength, and computational capability all over study cases. In the second scenario of the bi-objective problem, the Pareto theory is integrated with a CAEO to get a series of Non-Dominated (ND) solutions, and then using the fuzzy approach to determine BCS.
Highlights
The electric power supply system faces its main issues, which are the efficiency of generator and transmission, and distribution grid, or those three issues together
A. 6-UNIT POWER GENERATION SYSTEM In this subsection, the Combined Economic Emission Dispatch (CEED) problem is solved for 4 levels of demand, where the first level of demand is 150 MW and it is increased by 25MW each time to reach 225 MW in the fourth level of demand
In the 6-unit power system, the target has been achieved by minimizing the total fuel cost and the emission of the three risky gases SO2, nitrous oxide (NOx), and CO2
Summary
The electric power supply system faces its main issues, which are the efficiency of generator and transmission, and distribution grid, or those three issues together. Previous efforts have been tried to find the optimum solutions for these issues by decreasing the operating cost of fuel consumption, which became an objective function besides many other requirements. Some of the other requirements are such as scale back greenhouse gas emissions, higher energy quality and improve power grid efficiency, and high reliability [2]. One of the most common methods to represent the CEED problem is using the 2nd order polynomial function [5]. The non-linearity of the actual thermal power generation system makes the solution of this problem deviates from the idealist and nullify the approximation of the 2nd order polynomial function. It had been noted that the functions with an order higher than 2nd order might represent the actual response of the thermal power generation system, and these polynomials
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