AI Based Analysis and Design of on-Site Power Generation By Integrating Solar, Wind, Biomass And Battery For Rural and Urban Areas - Perspective Pakistan

Abstract

The severe global climate changes due to emissions of carbon dioxide and other toxic flue gases from power plants have compelled the world of power engineering to disintegrate the central station power generation into on-site generation. Secondly Pakistan being a poor country cannot afford to spend 60 % of its GDP on importing fossil fuels.

Some parts of Pakistan are hot and sunny throughout the year we call them zone-I whereas some parts are cold and cloudy most of the year, we call them zone-II. For zone-I, we propose solar and biomass with batteries. For zone-II we propose wind and biomass with batteries. The load is also connected with a local distributed generation source referred as source-I and own source of generation is referred as source-II.

As we know that the Renewable sources vary intermittently, hence, it is Momentous to interconnect these renewable energy sources as hybrid energy system. In this paper, a AC/DC smart grid is proposed for integration and control of different voltage-current characteristics, renewable energy sources, storage units, local loads, and grids both under grid connected and isolated modes.

The proposed intelligent control strategy manages three key functions: (i) forecasting power output from variable renewable sources, (ii) regulating primary energy sources, storage, and the utility grid, and (iii) prioritizing load scheduling. This article presents the results of simulation studies conducted to evaluate the strategy's performance within a microgrid architecture.