A non-linear electricity planning model for low-cost housing estates during a lockdown in developing countries

Abstract

Electricity plan for a low-cost housing estate in developing countries requires a comprehensive understanding of relationships between energy resources and household’s electricity budgets. In this article, an optimization model is proposed for an electricity plan in low-cost housing estate during a total lockdown. The four decision variables contained in proposed optimization are generators operation time, energy storage systems (ESS) operation time, generator noise and electricity supply from national a grid. Particle swarm optimization algorithm was selected as a solution method for the model. The proposed model was used to optimize electricity consumption for 30days lockdown in three low-case housing estates in Lagos, Nigeria. Based on the optimal results, the cost for generator usage is N 64,399,914.12, while the cost for the ESS usage is N310, 072.77. This article’s concluding remarks highlights its contributions to energy literature. The average daily noise dosage for estates 1, 2 and 3 are 69.17, 69.30 and 69.21db, respectively. The average daily CO2 emitted for estates 1, 2 and 3 are 41.52, 43.60 and 41.43kg, respectively.