scholarly journals Calculation Method for Electricity Price and Rebate Level in Demand Response Programs

2021 ◽  
Vol 11 (15) ◽  
pp. 6871
Author(s):  
Hirotaka Takano ◽  
Naohiro Yoshida ◽  
Hiroshi Asano ◽  
Aya Hagishima ◽  
Nguyen Duc Tuyen

Demand response programs (DRs) can be implemented with less investment costs than those in power plants or facilities and enable us to control power demand. Therefore, they are highly expected as an efficient option for power supply–demand-balancing operations. On the other hand, DRs bring new difficulties on how to evaluate the cooperation of consumers and to decide electricity prices or rebate levels with reflecting its results. This paper presents a theoretical approach that calculates electricity prices and rebate levels in DRs based on the framework of social welfare maximization. In the authors’ proposal, the DR-originated changes in the utility functions of power suppliers and consumers are used to set a guide for DR requests. Moreover, optimal electricity prices and rebate levels are defined from the standpoint of minimal burden in DRs. Through numerical simulations and discussion on their results, the validity of the authors’ proposal is verified.

2020 ◽  
pp. 1-1
Author(s):  
Mostafa Vahedipour-Dahraie ◽  
Homa Rashidizade-Kermani ◽  
Miadreza Shafie-khah ◽  
Joao P. S. Catalao

Author(s):  
Hao Zhang ◽  
Yabin Da ◽  
Xian Zhang ◽  
Jing-Li Fan

Climate change-induced coal-fired plant generation efficiency reduction tends to cut power supply by 15.77 billion kWh/year in the 2050s under RCP8.5. The challenges could be more evident if factoring in the rapidly increasing power demand.


2015 ◽  
Vol 16 (2) ◽  
pp. 195-206 ◽  
Author(s):  
S. Surender Reddy ◽  
A. R. Abhyankar ◽  
P. R. Bijwe

Abstract This paper presents a new multi-objective day-ahead market clearing (DAMC) mechanism with demand-side reserves/demand response (DR) offers, considering realistic voltage-dependent load modeling. The paper proposes objectives such as social welfare maximization (SWM) including demand-side reserves, and load served error (LSE) minimization. In this paper, energy and demand-side reserves are cleared simultaneously through co-optimization process. The paper clearly brings out the unsuitability of conventional SWM for DAMC in the presence of voltage-dependent loads, due to reduction of load served (LS). Under such circumstances multi-objective DAMC with DR offers is essential. Multi-objective Strength Pareto Evolutionary Algorithm 2+ (SPEA 2+) has been used to solve the optimization problem. The effectiveness of the proposed scheme is confirmed with results obtained from IEEE 30 bus system.


Subject Vietnam's energy imports. Significance Authorities announced an immediate 8% hike in average retail electricity prices on March 20, partly in the hope of attracting private investment. With electricity demand rising, Vietnam is importing more energy commodities as well as focusing on domestic production. Impacts Coal-fired generation will remain the primary means of meeting future power demand. Developing LNG-to-power supply chains will increase natural gas’s share of the generation mix. Renewable energy development will offset the growing price exposure to international markets in energy commodities.


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