Scenario Analysis of Future Load Profile of Sri Lanka Considering Demand Side Management Initiatives
Akila E. Jayasinghe, K.R.S. Lankapriya, R. Valluvan, V. Cynthujah
Abstract
Akila E. Jayasinghe, K.R.S. Lankapriya, R. Valluvan, V. Cynthujah
Abstract
As a result of technology development, expansion of industries and improvement of living standards, the electricity demand increases rapidly. It is the responsibility of the utility to supply uninterrupted, reliable and good quality power to customers. Basically, it is the balancing of supply against the demand. Building new power plants to match the supply to increasing demand may not always be economically viable. The trend now is to control the demand with demand management initiatives. This study evaluates the reasons for changes in day peak and night peak in the electricity load profile, to study the feasibility of making the load profile smoother using Demand Side Management (DSM) initiatives. After analyzing several types of customer categories, it was identified that Chilled Water Storage (CWS) systems and Electrical Vehicles (EV) can make a significant change in the load curve. By constructing storage tanks to store chilled water during the off-peak tariff period, and using the stored chilled water to meet the peak-time cooling demand will reduce the demand at peak time. A mathematical model was developed for demand forecasting, incorporating DSM.
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As a result of technology development, expansion of industries and improvement of living standards, the electricity demand increases rapidly. It is the responsibility of the utility to supply uninterrupted, reliable and good quality power to customers. Basically, it is the balancing of supply against the demand. Building new power plants to match the supply to increasing demand may not always be economically viable. The trend now is to control the demand with demand management initiatives. This study evaluates the reasons for changes in day peak and night peak in the electricity load profile, to study the feasibility of making the load profile smoother using Demand Side Management (DSM) initiatives. After analyzing several types of customer categories, it was identified that Chilled Water Storage (CWS) systems and Electrical Vehicles (EV) can make a significant change in the load curve. By constructing storage tanks to store chilled water during the off-peak tariff period, and using the stored chilled water to meet the peak-time cooling demand will reduce the demand at peak time. A mathematical model was developed for demand forecasting, incorporating DSM.
Key concepts: Tariff, Demand management, Load management, Peak demand, Electricity, Load profile, Environmental economics, Demand forecasting