Analysis of Electricity Market Model with Demand Response in Distribution Network

2015 ◽  
Vol 135 (3) ◽  
pp. 292-303 ◽  
Author(s):  
Shinya Sekizaki ◽  
Ichiro Nishizaki ◽  
Tomohiro Hayashida
Keyword(s):  
Demand Response ◽  
Electricity Market ◽  
Distribution Network ◽  
Market Model

scholarly journals Integrated Energy Transaction Mechanisms Based on Blockchain Technology

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2412 ◽  
Author(s):  
Shengnan Zhao ◽  
Beibei Wang ◽  
Yachao Li ◽  
Yang Li
Keyword(s):  
Demand Response ◽  
Electricity Market ◽  
Rapid Development ◽  
Market Model ◽  
Distributed Energy ◽  
Energy Internet ◽  
Market Participants ◽  
Blockchain Technology ◽  
Call Auction ◽  
Two Stages

With the rapid development of distributed renewable energy (DRE), demand response (DR) programs, and the proposal of the energy internet, the current centralized trading of the electricity market model is unable to meet the trading needs of distributed energy. As a decentralized and distributed accounting mode, blockchain technology fits the requirements of distributed energy to participate in the energy market. Corresponding to the transaction principle, a blockchain-based integrated energy transaction mechanism is proposed, which divides the trading process into two stages: the call auction stage and the continues auction stage. The transactions among the electricity and heat market participants were used as examples to explain the details of the trading process. Finally, the smart contracts of the transactions were designed and deployed on the Ethereum private blockchain site to demonstrate the validity of the proposed transaction scheme.

scholarly journals The Role of Demand Response Aggregators and the Effect of GenCos Strategic Bidding on the Flexibility of Demand

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3296 ◽  
Author(s):  
Nur Mohammad ◽  
Yateendra Mishra
Keyword(s):  
Transaction Cost ◽  
Demand Response ◽  
Electricity Market ◽  
Market Model ◽  
Strategic Bidding ◽  
Load Curtailment ◽  
Upper Level ◽  
Trading Scheme ◽  
The Cost

This paper presents an interactive trading decision between an electricity market operator, generation companies (GenCos), and the aggregators having demand response (DR) capable loads. Decisions are made hierarchically. At the upper-level, an electricity market operator (EMO) aims to minimise generation supply cost considering a DR transaction cost, which is essentially the cost of load curtailment. A DR exchange operator aims to minimise this transaction cost upon receiving the DR offer from the multiple aggregators at the lower level. The solution at this level determines the optimal DR amount and the load curtailment price. The DR considers the end-user’s willingness to reduce demand. Lagrangian duality theory is used to solve the bi-level optimisation. The usefulness of the proposed market model is demonstrated on interconnection of the Pennsylvania-New Jersey-Maryland (PJM) 5-Bus benchmark power system model under several plausible cases. It is found that the peak electricity price and grid-wise operation expenses under this DR trading scheme are reduced.

Applying multiple types of demand response to optimal day-ahead stochastic scheduling in the distribution network

2020 ◽  
Vol 14 (20) ◽  
pp. 4509-4519
Author(s):  
Jie Yang ◽  
Hongjun Gao ◽  
Shengyong Ye ◽  
Lin Lv ◽  
Youbo Liu ◽  
...  
Keyword(s):  
Demand Response ◽  
Distribution Network ◽  
Stochastic Scheduling

Demand response in the retail electricity market

2021 ◽  
Vol 14 (6) ◽  
Author(s):  
Hyungna Oh ◽  
Hyo Youn Chu
Keyword(s):  
Demand Response ◽  
Electricity Market
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