Optimal planning of hybrid energy conversion systems for annual energy cost minimization in Indian residential buildings

Nand K. Meena*, Abhishek Kumar, Arvind R. Singh, Anil Swarnkar, Nikhil Gupta, K. R. Niazi, Praveen Kumar, R. C. Bansal

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


The increasing interest in renewables has encouraged power system planners to include the concept of hybrid energy systems in modern power industry. Besides, the modern power consumers are becoming more concerned about their energy bills which has led to the concept of hybrid energy management systems (HEMSs) for buildings to monitor, control and optimally manage energy consumptions without any waste. In this study, an optimal planning framework is proposed to determine optimal capacities and sharing of hybrid energy conversion systems (HECS) such as wind turbine, solar photovoltaic, battery energy storage and the utility grid. The objective is to maximize the net present value of the project/system which includes the cost of annual investment, operation and maintenance costs of HEMS expected to have incurred in the planning period. All the costs and parameters are considered in the Indian context, and Genetic Algorithm (GA) is adopted to solve this proposed planning framework. The simulation results obtained are compared with same obtained for conventional houses in India. The comparison shows that the proposed framework effectively reduces the electricity bills while improving its reliability.

Original languageEnglish
Pages (from-to)2979-2985
Number of pages7
JournalEnergy Procedia
Publication statusPublished - 1 Feb 2019
Event10th International Conference on Applied Energy, ICAE 2018 - Hong Kong, China
Duration: 22 Aug 201825 Aug 2018

Bibliographical note

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)


  • Genetic algorithm
  • Hybrid energy conversion systems
  • Renewables
  • Smart homes


Dive into the research topics of 'Optimal planning of hybrid energy conversion systems for annual energy cost minimization in Indian residential buildings'. Together they form a unique fingerprint.

Cite this