scholarly journals Thermal demand response model considering user's satisfaction with heat consumption under electrothermal coupling

2021 ◽  
Vol 236 ◽  
pp. 01034
Author(s):  
Wang Zhenyu ◽  
Zhang Jianhua ◽  
Hu Chunlan ◽  
Xu Lanlan ◽  
Han Yongjun
Keyword(s):  
Demand Response ◽  
Supply And Demand ◽  
Thermal Power ◽  
Response Model ◽  
Power Demand ◽  
Time Sharing ◽  
Economic Operation ◽  
New Energy ◽  
Heating Mode ◽  
Demand Side Response

.In recent years, the development of new energy has become a bottleneck. As a high-quality demand side response resource that can be flexibly dispatched, thermal load can be used to promote the consumption and utilization of new energy. Based on the theory of peak valley electricity price and power demand response mechanism, this paper designs a demand response model of thermal price type, which uses time-sharing heat price to guide users to use heat orderly on the heating side. The simulation results show that the reasonable setting of heat price and satisfaction constraints of different heating modes can effectively change the heating mode of the user side and alleviate the contradiction between the supply and demand of thermal power, reduce the heating cost and realize the economic operation of the system.

scholarly journals Pricing Mechanism of Charging Pile Power Supply Market——Based on RTP Theory and Price Discrimination Model

2021 ◽  
Vol 275 ◽  
pp. 01073
Author(s):  
Shiyao Ding ◽  
Siqi Zhang
Keyword(s):  
Price Discrimination ◽  
Demand Response ◽  
Cost Model ◽  
Supply And Demand ◽  
Retail Market ◽  
Response Model ◽  
Supply Pressure ◽  
Discrimination Model ◽  
New Energy ◽  
Differential Pricing

Based on the data of monopoly enterprises in China’s new energy charging pile power retail market, this paper explores the application of RTP differential pricing in new areas. First of all, from the perspective of business, this paper constructs the incentive cost model of low period which can minimize the supply pressure of power sales enterprises. Then, from the perspective of charging consumers, based on the assumption of user’s conversion cost, an improved demand response model is established according to the price elasticity. The paper is to consider the premise of maximizing social welfare, in the supply and demand of both sides to improve the pressure of electricity measurement, to minimize the operation and maintenance costs in peak and trough period.

scholarly journals Water supply control system for smarter electricity power usage adopting demand-response scheme

2019 ◽  
Vol 20 (1) ◽  
pp. 140-147 ◽  
Author(s):  
H. Tadokoro ◽  
H. Koibuchi ◽  
S. Takahashi ◽  
S. Kakudou ◽  
Y. Takata ◽  
...  
Keyword(s):  
Water Supply ◽  
Demand Response ◽  
Scheduling Algorithm ◽  
Supply And Demand ◽  
Power Demand ◽  
Simulation Approach ◽  
Pump Operation ◽  
Electricity Power ◽  
Operation Schedule ◽  
Response Scheme

Abstract Demand-response is a scheme in which electricity suppliers and consumers collaborate for smarter usage of electricity aiming to mitigate the gap between supply and demand. It makes electricity consumers receive incentives through curtailing or increasing power demand during a certain period subject to request from the power infrastructure. Water utilities, as heavy electricity consumers, could participate in the scheme through shifting power demand by modifying pump operation schedule, utilizing reservoirs' buffering stock capability. We developed a conveyance/transmission pump scheduling algorithm to be applied in the scheme that requires a quick modification of pumping schedule to respond to a request. In addition, we made test bedding through a simulation approach utilizing actual data from Osaka Water Supply Authority to show the scheme's potential for waterworks and the effectiveness of the algorithm.

scholarly journals Research on the Interactive Response Relationship between Price and Load Based on Market Elasticity

2021 ◽  
Vol 329 ◽  
pp. 01022
Author(s):  
Pengcheng Zang ◽  
Zhijun Xu ◽  
Yan fei Su ◽  
Yingjun Li
Keyword(s):  
Demand Response ◽  
Rapid Development ◽  
Supply And Demand ◽  
Local Economy ◽  
Response Relationship ◽  
Short Term ◽  
Double Peaks ◽  
Peak Loads ◽  
New Energy

With the rapid development of local economy, the frequent occurrence of extreme climates, and the increase in the scale of new energy installations, short-term peak loads have repeatedly reached new highs, and the characteristics of the power system "double high, double peaks, and double-sided random" will be further highlighted, making the power grid supply and demand Balance faces greater challenges. In this context, the role of electricity demand response has become more prominent. Therefore, based on the principle of market elasticity, this paper studies the interactive response relationship between electricity price and load, establishes a demand response model based on price elasticity, and verifies demand response projects based on actual cases. The effect of peak clipping and valley filling.

scholarly journals Development of Consumer Preference based Demand Response Model for Home Energy Management

2019 ◽  
Vol 8 (4S2) ◽  
pp. 387-390
Keyword(s):  
Demand Response ◽  
Consumer Preferences ◽  
Supply And Demand ◽  
Consumer Preference ◽  
Response Model ◽  
Home Energy Management ◽  
Scheduling Method ◽  
Load Pattern ◽  
Android App ◽  
The Internet Of Things

Demand response has become an effective method for energy saving and to reduce the energy cost. By adjusting the residential loads, it reacts quickly for the mismatches of supply and demand. In this paper, the Internet of Things (IoT) based Demand Response (Load scheduling method) methodology is proposed to mitigate the energy waste and tariff. Two different alarm provisions are made at the consumer side to indicate the normal and demand modes operated by the supplier. The consumer is provided with a controller that read the market signal and answers with consumer preferences. Whenever demand mode arises, the consumer is completely free to change the load setting; also the developed system will propose the load pattern. The demand mode will be given during peak hour and the tariff will be high at that time and normal mode will consist of the minimum tariff. The consumer may control their load through cloud-MQTT by giving a specific command or from the MQTT dashboard android app. Based on the tariff, the consumption profile could be reduced

scholarly journals Implementation of Power Demand Response Trading System for New Energy Consumption

2021 ◽  
Vol 236 ◽  
pp. 02014
Author(s):  
Yi ZHANG ◽  
Feng ZHANG ◽  
Youchun LI ◽  
Jianqiang CAI ◽  
Yang LI ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Demand Response ◽  
Power Grid ◽  
Clean Energy ◽  
Point Of View ◽  
Power Demand ◽  
Trading System ◽  
Market Signals ◽  
New Energy ◽  
Energy Installation

Demand response adjusts demand through market signals such as price to promote grid reliability. By changing the demand for electricity, the demand response can realize the friendly interaction of sourcenetwork-load, promote the absorption of new energy, and thus applying to the rapid growth of the scale of new energy installation. Considering the characteristics of provincial power grid, this paper studies the power demand response trading organization and technology realization from the point of view of promoting clean energy consumption, and realizes it systematically. This method has universal application value for the same type of provincial power grid.

scholarly journals Price Based Demand Response for Optimal Frequency Stabilization in ORC Solar Thermal Based Isolated Hybrid Microgrid under Salp Swarm Technique

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2209
Author(s):  
Abdul Latif ◽  
Manidipa Paul ◽  
Dulal Chandra Das ◽  
S. M. Suhail Hussain ◽  
Taha Selim Ustun
Keyword(s):  
Demand Response ◽  
Frequency Control ◽  
Thermal Power ◽  
Peak Load ◽  
Energy System ◽  
Frequency Stabilization ◽  
Load Frequency Control ◽  
Solar Thermal ◽  
Proportional Integral ◽  
Hybrid Microgrid

Smart grid technology enables active participation of the consumers to reschedule their energy consumption through demand response (DR). The price-based program in demand response indirectly induces consumers to dynamically vary their energy use patterns following different electricity prices. In this paper, a real-time price (RTP)-based demand response scheme is proposed for thermostatically controllable loads (TCLs) that contribute to a large portion of residential loads, such as air conditioners, refrigerators and heaters. Wind turbine generator (WTG) systems, solar thermal power systems (STPSs), diesel engine generators (DEGs), fuel cells (FCs) and aqua electrolyzers (AEs) are employed in a hybrid microgrid system to investigate the contribution of price-based demand response (PBDR) in frequency control. Simulation results show that the load frequency control scheme with dynamic PBDR improves the system’s stability and encourages economic operation of the system at both the consumer and generation level. Performance comparison of the genetic algorithm (GA) and salp swarm algorithm (SSA)-based controllers (proportional-integral (PI) or proportional integral derivative (PID)) is performed, and the hybrid energy system model with demand response shows the supremacy of SSA in terms of minimization of peak load and enhanced frequency stabilization of the system.

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.

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
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