Demand side management impacts on electricity network vulnerability
The demand for electricity is undergoing considerable spatial and temporal change. With the uptake of efficient technologies and increased electrification, a better understanding of how potential changes in demand patterns can affect network reliability is necessary. We quantify the macro-economic impacts of potential future changes in demand profiles for an electricity network undergoing generation shortages. Applied to Great Britain, potential savings or losses are assessed for changes to peak demands under four different load profiles: (i) current day, (ii) widespread uptake of efficient appliances, (iii) deployment of heat pumps, and (iv) moving to an idealised fully balanced load profile. Considerable variation in economic disruption is observed both between different demand profiles and across Great Britain. When the networks generation capacity is severely disrupted, we estimate hourly macro-economic impacts to increase by up to {\pounds}1.23 million per additional GW of national electricity demand. A similar reduction in impacts can be achieved if peak demands are reduced by demand side management. We conclude that risk-related economic impacts are directly linked to the temporal pattern of energy demands and need to be included in the decision-making around demand side measures. We find that decarbonisation strategies without accompanying demand side management may lead to increased economic losses without supply side interventions.
Code (0)
등록된 구현이 없습니다.
Tasks
Decision MakingManagementSimilar Papers 제목 키워드 기반
Predicting Public Health Impacts of Electricity Usage
The electric power sector is a leading source of air pollutant emissions, impacting the public health of nearly every community. Although regulatory measures have reduced air pollutants, fossil fuels remain a significant…
Distribution Grids May Be a Barrier To Residential Electrification
Replacing fossil-fueled appliances and vehicles with electric alternatives can reduce greenhouse gas emissions and air pollution in many settings. However, residential electrification can also raise electricity demand be…
ManagementCausal Effect Estimation with Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand
The electricity industry is heavily implementing smart grid technologies to improve reliability, availability, security, and efficiency. This implementation needs technological advancements, the development of standards …
counterfactualLoad ForecastingManagementAustralia's long-term electricity demand forecasting using deep neural networks
Accurate prediction of long-term electricity demand has a significant role in demand side management and electricity network planning and operation. Demand over-estimation results in over-investment in network assets, dr…
Demand ForecastingManagementDemand Side Management for Homes in Smart Grids
Electricity usage is a major portion of utility bills and the best place to start lowering them. An effective home energy management approach is introduced to decrease customers' electricity bills by determining the opti…
energy managementManagementScheduling