Structure Optimization of Stand-Alone Renewable Power Systems Based on Multi Object Function

Abstract

This paper presents a methodology for the size optimization of a stand-alone hybrid PV/wind/diesel/battery system while considering the following factors: total annual cost (TAC), loss of power supply probability (LPSP), and the fuel cost of the diesel generator required by the user. A new optimization algorithm and an object function (including a penalty method) are also proposed; these assist with designing the best structure for a hybrid system satisfying the constraints. In hybrid energy system sources such as photovoltaic (PV), wind, diesel, and energy storage devices are connected as an electrical load supply. Because the power produced by PV and wind turbine sources is dependent on the variation of the resources (sun and wind) and the load demand fluctuates, such a hybrid system must be able to satisfy the load requirements at any time and store the excess energy for use in deficit conditions. Therefore, reliability and cost are the two main criteria when designing a stand-alone hybrid system. Moreover, the operation of a diesel generator is important to achieve greater reliability. In this paper, TAC, LPSP, and the fuel cost of the diesel generator are considered as the objective variables and a hybrid teaching-learning-based optimization algorithm is proposed and used to choose the best structure of a stand-alone hybrid PV/wind/diesel/battery system. Simulation results from MATLAB support the effectiveness of the proposed method and confirm that it is more efficient than conventional methods.

Minimum cost‐based design of isolated PV ‐wind hybrid system considering the PV tilt angle and wind turbine hub height as design parameters using genetic algorithm

“…Different publications [18][19][20][21][22][23] study the optimal design of PV-wind hybrid isolated system with different criteria. Cho et al 18 used a hybrid teaching-learningbased optimization algorithm to choose the optimal size of a stand-alone hybrid PV/wind/diesel/battery system. The author considered the total annual cost.…”

Multicriteria optimization in the problem of computer-aided design of hybrid solar energy systems

“…The authors of [11] optimized the structure of HSES using various meta-heuristic algorithms, taking into consideration a number of feasibility studies. The set of criteria included minimizing the total annual cost of the system and maintenance costs, minimizing the likelihood of power loss.…”

“…Our review of the above studies [2][3][4][5][6][7][8][9][10][11] allows us to argue that the multicriteria optimization methods, owing to their good performance considering trade-offs, are widely used for the design of HSES. The most popular approach proposed to solve such problems is the use of genetic and evolutionary algorithms to solve MCO, in the design of many hybrid energy systems.…”

The PV/Wind System for Sustainable Development and Power Generation with Real Dynamic Input Datasets in the Distribution Power Systems

“…Also, it is mentioned that key part of the DIPWC is the inductor at the output. Cho, Chun, and Hong [8] proposed an algorithm for size optimization of a hybrid system that consists of battery, solar PV, wind generator, and diesel generator. For the performance evaluation of the proposed method, MATLAB is used.…”