Effects of PV and Battery Storage Technologies on the Optimal Sizing of Renewable Energy Microgrid

Abstract

This paper presents analyses of the model for the optimum design of standalone hybrid microgrid. The model is developed with the aim of optimizing system component sizing that can reliably satisfy isolated loads. The objective function is to minimize the annual cost of the plant while taking all constraints into consideration. Mixed integer linear programming technique is used to solve the optimization problem. By applying some approximations, the output power of the wind energy conversion system is expressed as a linear function of wind speed. Effects of different PV technologies and the rated power of each unit have been investigated. The results have shown the ability of the proposed model by reducing the cost of energy by 89.35%, 90.26%, 88.3530%, and 89.99% for AP120, ASE 300, KC120 and SAPC165 respectively. In the same way the carbon dioxide emission is reduced by 83%, 82.82%, 82.51% and 73.48 in the same order of the PV modules. Also, the optimal design is sensitive to the rated power of the WECS and SECS, while the benefit-to-cost ratio and payback period are sensitive to the storage technology.

State of the Art in Research on Optimum Design, Reliability and Control of Renewable Energy Microgrids

“…More details about the recent hybrid microgrid introduced in the last twelve years and their outcome can be found in [39] , [40]. Recently authors in [41] have investigated the effects of battery storage and PV technologies on the optimum design of hybrid renewable energy microgrids; the findings have shown the sensitivity of optimum design to benefit-to-cost ration, payback periods of battery storage and rated powers of wind and solar energy conversion system.…”

A Review on Optimal Siting and Sizing of DSTATCOM

“…is is evident in industrial environments and residential consumption pa erns. Several literatures such as [1][2][3][4][5] presented that as long as there is increase in demand for electrical energy and continuous strive for economic buoyancy, then, industries and domestic consumers would coerce utility companies to operate at their peak efficiency boundaries.…”

A novel model for solar radiation prediction

“…Solar energy conversion requires the knowledge of the solar radiation data of the area of application as it is not globally uniform [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]. The availability of the empirical data makes it feasible to create a model using various techniques.…”