Demand-side response model to avoid spike of electricity price

2014 ◽  
Vol 24 (6) ◽  
pp. 782-789 ◽  
Author(s):  
Marwan Marwan ◽  
Gerard Ledwich ◽  
Arindam Ghosh
Keyword(s):  
Electricity Price ◽  
Response Model ◽  
Demand Side ◽  
Demand Side Response

Interaction of Energy-Grid-Load Based on Demand Side Response of Full-cost Electricity Price

2021 ◽  
Author(s):  
Xin-ying Xu ◽  
Qi-jie Jiang ◽  
Chuan-bin Yin ◽  
Xiao-wen Jie
Keyword(s):  
Power Grid ◽  
Power Source ◽  
Electricity Price ◽  
Demand Side ◽  
Full Cost ◽  
Grid Load ◽  
The Cost ◽  
Energy Grid ◽  
Grid Resources ◽  
Demand Side Response

In the research of intelligent grids, people usually pay attention to the interaction between power source and load to absorb more new energy. In contrast, the utilization of power source and load on grid resources is less considered, and energy-grid-load is not fully explored. The profound benefits and value of the three interactions. To this end, the paper proposes the interactive mode and method of power supply, power grid, and load based on full-cost electricity price. The power source side needs to consider the impact of transmission costs when optimizing economic dispatch; the load side needs to calculate the full-cost electricity price based on the power flow tracking method, clarify the load’s use of power and grid resources, and reflect the “who benefits, who bears the cost” Principles and introduce demand-side response to reflect the meaning and value of full-cost electricity prices. The research found that the calculation example analysis based on the IEEE30-node system verifies that the method in this paper can reasonably allocate the cost of the power grid according to the user’s utilization of power grid resources, thereby improving the efficiency, fairness, orderliness and safety of power grid investment and operation.

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.

scholarly journals Price-Based Demand Side Response Programs and Their Effectiveness on the Example of TOU Electricity Tariff for Residential Consumers

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 287
Author(s):  
Jerzy Andruszkiewicz ◽  
Józef Lorenc ◽  
Agnieszka Weychan
Keyword(s):  
Power Systems ◽  
Distribution System ◽  
Peak Load ◽  
Demand Side ◽  
Case Study Analysis ◽  
Efficiency Assessment ◽  
Electricity Use ◽  
Residential Electricity ◽  
Demand Side Response ◽  
Residential Consumers

Demand side response is becoming an increasingly significant issue for reliable power systems’ operation. Therefore, it is desirable to ensure high effectiveness of such programs, including electricity tariffs. The purpose of the study is developing a method for analysing electricity tariff’s effectiveness in terms of demand side response purposes based on statistical data concerning tariffs’ use by the consumers and price elasticity of their electricity demand. A case-study analysis is presented for residential electricity consumers, shifting the settlement and consequently the profile of electricity use from a flat to a time-of-use tariff, based on the comparison of the considered tariff groups. Additionally, a correlation analysis is suggested to verify tariffs’ influence of the power system’s peak load based on residential electricity tariffs in Poland. The presented analysis proves that large residential consumers aggregated by tariff incentives may have a significant impact on the power system’s load and this impact changes substantially for particular hours of a day or season. Such efficiency assessment may be used by both energy suppliers to optimize their market purchases and by distribution system operators in order to ensure adequate generation during peak load periods.

scholarly journals An Energy Management Optimization Method for Community Integrated Energy System Based on User Dominated Demand Side Response

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4398
Author(s):  
Yiqi Li ◽  
Jing Zhang ◽  
Zhoujun Ma ◽  
Yang Peng ◽  
Shuwen Zhao
Keyword(s):  
Energy Management ◽  
Demand Response ◽  
Value At Risk ◽  
Operating Cost ◽  
Optimization Method ◽  
Conditional Value At Risk ◽  
Demand Side ◽  
Scheduling Model ◽  
Management Optimization ◽  
Demand Side Response

With the development of integrated energy systems (IES), the traditional demand response technologies for single energy that do not take customer satisfaction into account have been unable to meet actual needs. Therefore, it is urgent to study the integrated demand response (IDR) technology for integrated energy, which considers consumers’ willingness to participate in IDR. This paper proposes an energy management optimization method for community IES based on user dominated demand side response (UDDSR). Firstly, the responsive power loads and thermal loads are modeled, and aggregated using UDDSR bidding optimization. Next, the community IES is modeled and an aggregated building thermal model is introduced to measure the temperature requirements of the entire community of users for heating. Then, a day-ahead scheduling model is proposed to realize the energy management optimization. Finally, a penalty mechanism is introduced to punish the participants causing imbalance response against the day-ahead IDR bids, and the conditional value-at-risk (CVaR) theory is introduced to enhance the robustness of the scheduling model under different prediction accuracies. The case study demonstrates that the proposed method can reduce the operating cost of the community under the premise of fully considering users’ willingness, and can complete the IDR request initiated by the power grid operator or the dispatching department.

Sign in / Sign up

Export Citation Format

Share Document