Smoothing Net Load Demand Variations Using Residential Demand Management

Elghitani, Fadi; El-Saadany, Ehab F.

doi:10.1109/tii.2018.2852482

Cited by 34 publications

(16 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…customer-dependent charging of the electric vehicles). As a consequence, the net-load demand (load minus generation from RES) becomes strongly variable and not easily predictable [1]. Of particular concern for operators, large power mismatch between realtime demand and the demand forecast can cause large frequency deviations, endangering the system stability.…”

Section: Introductionmentioning

confidence: 99%

Voltage-Dependent Load-Leveling Approach by Means of Electric Vehicle Fast Charging Stations

Gao

Carne

Andresen

et al. 2021

IEEE Trans. Transp. Electrific.

View full text Add to dashboard Cite

Intermittent generation and load demand are one of the major challenges for grid operators. Caused for example by renewables power variability or electric vehicle charging, it can create mismatches between the realtime and forecasted demand, affecting frequency regulation. To alleviate this mismatch, operators have to resort either on the balancing market or on extensive use of energy storage systems, which increases operation costs. This paper introduces a load levelling approach exploiting the voltage dependency of the loads. With a controlled reactive power injection, the converters of fast charging stations can influence the voltage profile, and consequently the power consumption of voltage-dependent loads. The approach has two main goals: minimizing the mismatch with respect to the demand forecast and reducing grid losses. Fast charging stations are particularly suited for this approach. Being employed with full capacity for charging only for short-time, their spare capacity can be exploited to apply the load levelling approach. This proposed approach is discussed theoretically and analyzed in a modified distribution network in Northern Germany. Parameters variation analysis has been performed to thoroughly demonstrate the effectiveness of the approach under different load/grid conditions. Its feasibility has been evaluated by means of power-hardware-in-the-loop tests.

show abstract

Section: Introductionmentioning

confidence: 99%

Voltage-Dependent Load-Leveling Approach by Means of Electric Vehicle Fast Charging Stations

Gao

Carne

Andresen

et al. 2021

IEEE Trans. Transp. Electrific.

View full text Add to dashboard Cite

show abstract

“…LSE participates in the day-ahead market bidding as an entity, bids for the amount of load reduction and obtained the response target on the next day after the market clearing. Then the LSE need to organize users to complete the response target by means of direct load control (DLC) [4], dynamic price [5], contract [6], or incentives [7], etc. Since distributed small users are mainly home users, it is difficult to achieve DLC due to device limitations or privacy reasons [8], so in this paper, we focus on the incentive method.…”

Section: Introductionmentioning

confidence: 99%

Differentiated Incentive Strategy for Demand Response in Electric Market Considering the Difference in User Response Flexibility

Liu

et al. 2020

IEEE Access

View full text Add to dashboard Cite

In demand response programs, load service entity (LSE) can aggregate user as an independent entity to participate in the day ahead energy market, and complete the response target through incentive in the next day. In order to reduce the incentive cost of LSE, a differentiated incentive mechanism that consider the differences in user response flexibility is proposed in this paper. Then, a user response behavior model is established by using the long short-term memory (LSTM) network, with aim of accurately predicting users' response. Subsequently, an optimization strategy combining particle swarm (PSO) and LSTM is proposed, so that the response target can be accurately completed with low cost. Simulation experiments verified that the cost of LSE is close to the theoretical minimum, and can be reduced by 20% compared with the optimal result under unified incentive mechanism. Moreover, it also verified that the proposed strategy has high response accuracy and good stability.

show abstract

“…The smoothing load curve can help to balance supply and demand and load frequency control that is obtained using demand management [1] and peak load reduction [2]. Since demand response programmes (DRPs) can respond to the grid's needs based on loads characteristics [3], power market [4], equipment and environmental conditions [5], it was known as one of the flexible sources at generation, transmission, and distribution systems in recent studies.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical and multi‐level demand response programme considering the flexibility of loads

Rajabi

Salami

Azimi

2020

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

Smoothing Net Load Demand Variations Using Residential Demand Management

Cited by 34 publications

References 18 publications

Voltage-Dependent Load-Leveling Approach by Means of Electric Vehicle Fast Charging Stations

Voltage-Dependent Load-Leveling Approach by Means of Electric Vehicle Fast Charging Stations

Differentiated Incentive Strategy for Demand Response in Electric Market Considering the Difference in User Response Flexibility

Hierarchical and multi‐level demand response programme considering the flexibility of loads

Contact Info

Product

Resources

About