On the long-term density prediction of peak electricity load with demand side management in buildings

2020 ◽  
Vol 228 ◽  
pp. 110450
Author(s):  
Youngchan Jang ◽  
Eunshin Byon ◽  
Elham Jahani ◽  
Kristen Cetin
Keyword(s):  
Demand Side Management ◽  
Demand Side ◽  
Density Prediction ◽  
Electricity Load

Study on Demand Side Management of Railway Electricity System

2014 ◽  
Vol 631-632 ◽  
pp. 1347-1350
Author(s):  
Bing Feng Liu
Keyword(s):  
Power System ◽  
Index System ◽  
Demand Side Management ◽  
Fuzzy Evaluation ◽  
Demand Side ◽  
Analytic Hierarchy ◽  
Electricity System ◽  
The Index System ◽  
Hierarchy Process

An index system for evaluating the demand side management (DSM) on railway temporary power system is established in this thesis, and the part weight and the whole weight of the index system are calculated by the analytic hierarchy process (AHP). The basic theory of fuzzy evaluation is introduced, and the feasibility of applying it to DSM on railway temporary power system is analyzed. Through the establishment of index system, evaluation and comparison to DSM projects can be carried out horizontal and vertical. Then identify gaps and weaknesses, analyze the causes, guide the consciousness of energy conservation and environmental protection, supervised of electricity in an orderly manner, establish DSM long-term management mechanism.

scholarly journals Demand Side Management Effects on Substation Transformer Capacity Limits

2019 ◽  
Vol 9 (16) ◽  
pp. 3266 ◽  
Author(s):  
Kerry D. McBee ◽  
Jacquelyn Chong ◽  
Prasanth Rudraraju
Keyword(s):  
High Harmonic ◽  
Emergency Operation ◽  
Demand Side Management ◽  
Normal Operation ◽  
Demand Side ◽  
Load Profile ◽  
Capacity Limits ◽  
Pv Systems ◽  
Ieee Standards

In high penetrations, demand side management (DMS) applications augment a substation power transformer’s load profile, which can ultimately affect the unit’s capacity limits. Energy storage (ES) applications reduce the evening peaking demand, while time-of-use rates incentivize end-users to charge electric vehicles overnight. The daily load profile is further augmented by high penetrations of photovoltaic (PV) systems, which reduce the midday demand. The resulting load profile exhibits a more flattened characteristic when compared to the historical cyclic profile. Although the initial impact of PV and ES applications may reduce a unit’s peak demand, long-term system planning and emergency conditions may require operation near or above the nameplate rating. Researchers have already determined that a flattened load profile excessively ages a unit’s dielectrics more rapidly. The focus of this research was to identify an approach for establishing new transformer capacity limits for units serving flattened load profiles with a high harmonic content. The analysis utilizes IEEE standards C57.91 and C57.110 to develop an aging model of a 50 MVA SPX Waukesha transformer. The results establish a guideline for determining transformer capacity limits for normal operation, long-term emergency operation, and short-term emergency operation when serving systems with high penetrations of DSM applications.

The Empirical Study of Demand-Side Response Model Based on the Maximize Benefits under the Background of Smart Power Grid

2013 ◽  
Vol 860-863 ◽  
pp. 2447-2451
Author(s):  
Jiang Li
Keyword(s):  
Sustainable Development ◽  
Empirical Study ◽  
Systems Engineering ◽  
Power Grid ◽  
Response Model ◽  
Demand Side ◽  
Smart Power ◽  
Electricity Load ◽  
Demand Side Response

Demand-side management is a long-term strategic systems engineering which consistent with sustainable development requirements. According to the process of power companies and users participant of demand-side response, this article constructs the demand-side response with the principle of maximize benefits, while taking a regional electricity load as an example, which analysis the changing relationship between electricity price, incentive measures and users demand based on the measurements implementation of price and stimulating two demand-side responses of this area.

Optimal demand-side management with a multi-technology battery storage system

2018 ◽  
Vol 1 ◽  
pp. 345-349
Author(s):  
G. Fernández ◽  
◽  
H. Bludszuweit ◽  
J. Torres ◽  
J. Almajano ◽  
...  
Keyword(s):  
Storage System ◽  
Demand Side Management ◽  
Demand Side ◽  
Battery Storage
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