Demand-side management in an indian village
By: Bhongade, Sandeep
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Contributor(s): Dawar, R. S.
Publisher: New York Springer 2022Edition: Vol.103(1), Feb.Description: 63-71p.Subject(s): Humanities and Applied SciencesOnline resources: Click here
In:
Journal of the institution of engineers (India): Series BSummary: The development of modern society is centered on energy, in particular the use of electrical energy. The increasing financial, social and ecological restrictions that hinder the construction of new plants and electric power transmission lines have led to the inclusion of demand-side management (DSM) techniques in the planning studies of electrical systems, called "minimal cost planning" or "integrated resource planning." Madhya Pradesh Paschim Kshetra Vidyut Vitran, District-Dhar, Tehsil-Manawar, Singhana Village Dedali B, in India spends a lot of money on energy bills. There is a need of energy management system in this village. The energy audit of Singhana, Village Dedali B, Dhar, Madhya Pradesh, India is conducted to study to energy management pattern and identify the energy saving measures thereof. Energy auditing has been conducted for village area of Patelpura and Ningwalpura to estimate the daily, monthly and annual energy consumption. The annual energy consumption of village Patelpura and Ningwalpura is estimated as 10,200 kWh in 2018. Presently, the village using utility power, but, at the time of power curtailment, a number of irrigation pumps of 3 HP, 5 HP, 7 HP are running through diesel generators to backup for the power outing. The village has a scope of energy management for energy saving and electricity bill reduction, adopting a proper approach. In this paper, the demand-side management approach is used for energy saving which is implemented to save the 15% of energy and 20–25% of cost reduction in electricity bills of the village. This paper is aimed to validate the demand-side management using Binary Particle Swarm Optimization Algorithm. The problem is mathematically formulated as a DSM optimization problem with constraints along with an objective of peak to average ratio and cost reduction. MATLAB is used as a simulation tool.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2022-1572 |
The development of modern society is centered on energy, in particular the use of electrical energy. The increasing financial, social and ecological restrictions that hinder the construction of new plants and electric power transmission lines have led to the inclusion of demand-side management (DSM) techniques in the planning studies of electrical systems, called "minimal cost planning" or "integrated resource planning." Madhya Pradesh Paschim Kshetra Vidyut Vitran, District-Dhar, Tehsil-Manawar, Singhana Village Dedali B, in India spends a lot of money on energy bills. There is a need of energy management system in this village. The energy audit of Singhana, Village Dedali B, Dhar, Madhya Pradesh, India is conducted to study to energy management pattern and identify the energy saving measures thereof. Energy auditing has been conducted for village area of Patelpura and Ningwalpura to estimate the daily, monthly and annual energy consumption. The annual energy consumption of village Patelpura and Ningwalpura is estimated as 10,200 kWh in 2018. Presently, the village using utility power, but, at the time of power curtailment, a number of irrigation pumps of 3 HP, 5 HP, 7 HP are running through diesel generators to backup for the power outing. The village has a scope of energy management for energy saving and electricity bill reduction, adopting a proper approach. In this paper, the demand-side management approach is used for energy saving which is implemented to save the 15% of energy and 20–25% of cost reduction in electricity bills of the village. This paper is aimed to validate the demand-side management using Binary Particle Swarm Optimization Algorithm. The problem is mathematically formulated as a DSM optimization problem with constraints along with an objective of peak to average ratio and cost reduction. MATLAB is used as a simulation tool.
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