Electricity market model for demand response stability analysis based on structural approach to electricity price modelling

2015 ◽  
Author(s):  
Jaroslav Hlava ◽  
Libor Tuma
Keyword(s):  
Stability Analysis ◽  
Demand Response ◽  
Electricity Market ◽  
Electricity Price ◽  
Structural Approach ◽  
Market Model

Research on Demand Side Response System of Electricity Price Under Electricity Market Incentive Mechanism

2021 ◽  
Author(s):  
Fu Xianyu ◽  
Zhou Hongmei ◽  
Qi-jie Jiang ◽  
Ke Fan
Keyword(s):  
Power System ◽  
Demand Response ◽  
Electricity Market ◽  
Incentive Mechanism ◽  
Operating Cost ◽  
Electricity Price ◽  
Demand Side ◽  
Peak Shaving ◽  
Optimal Dispatch ◽  
Grid Operation

Aiming at the traditional day-ahead dispatching scheme of power generation, the paper proposes a power system security optimization dispatching model that considers the demand response of electricity prices under the electricity market incentive mechanism. Based on the peak and valley time-of-use electricity price, the paper establishes an incentive compensation mechanism to encourage users to be active. Participating in demand-side resource scheduling makes the effect of “peak shaving and valley filling” more pronounced. Simultaneously, to rationally configure the reserve capacity of grid operation, the system incorporates the expected power outage loss into the proposed model to ensure the grid operation safety. The analysis of calculation examples based on IEEE24 nodes shows that the power optimal dispatch model proposed in the paper considering demand response and expected outage loss can reduce the operating cost of the power grid under the premise of ensuring a certain level of reliability and realize the economy of the power system in the market environment and safe operation.

A Research into Probabilistic Electricity Load Prediction Based on Demand Response Feature under Smart Grid Environment

2013 ◽  
Vol 380-384 ◽  
pp. 3098-3102
Author(s):  
Ning Lu ◽  
Ying Liu
Keyword(s):  
Real Time ◽  
Demand Response ◽  
Electricity Market ◽  
Electricity Price ◽  
Electricity Pricing ◽  
Load Prediction ◽  
Characteristics Analysis ◽  
System Risk ◽  
Probabilistic Load ◽  
Demand Changes

The construction of grid plays an important role in national economic development, social stability and peoples life. In case that electricity market adopts real time electricity price, users active participation and real time response to electricity price will change the traditional load prediction from rigid forecasting to flexible forecasting which takes electricity demand response into consideration. By using wavelet analysis and error characteristics analysis, the researches into the probabilistic predicting method for demand changes under the real time electricity pricing is carried out. The probabilistic load prediction result shall enable decision makers to better understand the load change range in the future and make more reasonable decision. Meanwhile, it shall provide support to electricity system risk analysis.

scholarly journals Impacts of Low-Carbon Fuel Standards in Transportation on the Electricity Market

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 1943 ◽  
Author(s):  
Ahmad Karnama ◽  
João Peças Lopes ◽  
Mauro Augusto da Rosa
Keyword(s):  
Electric Vehicles ◽  
Electricity Market ◽  
Service Providers ◽  
Negative Impact ◽  
Policy Instrument ◽  
Electricity Price ◽  
Market Model ◽  
Carbon Intensity ◽  
Low Carbon ◽  
Banking Strategy

Electric Vehicles (EVs) are increasing the interdependence of transportation policies and the electricity market dimension. In this paper, an Electricity Market Model with Electric Vehicles (EMMEV) was developed, exploiting an agent-based model that analyzes how carbon reduction policy in transportation may increase the number of Electric Vehicles and how that would influence electricity price. Agents are Energy Service Providers (ESCOs) which can distribute fuels and their objective is to maximize their profit. In this paper, the EMMEV is used to analyze the impacts of the Low-Carbon Fuel Standard (LCFS), a performance-based policy instrument, on electricity prices and EV sales volume. The agents in EMMEV are regulated parties in LCFS should meet a certain Carbon Intensity (CI) target for their distributed fuel. In case they cannot meet the target, they should buy credits to compensate for their shortfall and if they exceed it, they can sell their excess. The results, considering the assumptions and limitations of the model, show that the banking strategy of the agents contributing in the LCFS might have negative impact on penetration of EVs, unless there is a regular Credit Clearance to trade credits. It is also shown that the electricity price, as a result of implementing the LCFS and increasing number of EVs, has increased between 2% and 3% depending on banking strategy.

scholarly journals Impacts of Low Carbon Fuel Standards in Transportation on the Electricity Market

2018 ◽  
Author(s):  
Ahmad Karnama ◽  
João Abel Peças Lopes ◽  
Mauro Augusto da Rosa
Keyword(s):  
Electric Vehicles ◽  
Electricity Market ◽  
Service Providers ◽  
Negative Impact ◽  
Policy Instrument ◽  
Electricity Price ◽  
Market Model ◽  
Carbon Intensity ◽  
Low Carbon ◽  
Banking Strategy

Electric Vehicles (EVs) are increasing the interdependence of transportation policies and the electricity market. EMMEV (Electricity Market Model with Electric Vehicles) is an experimental agent-based model that analyses how carbon reduction policy in transportation may increase number of Electric Vehicles and how does that would influence on the electricity price. Agents are ESCOs (Energy Service Providers) which can distribute fuels and their objective is to maximize their profit. In this paper, EMMEV is used to analyze the impacts of the LCFS (Low Carbon Fuel Standard), a performance-based policy instrument, on electricity prices and EV sales. The agents in EMMEV/regulated parties in LCFS should meet a certain CI (Carbon Intensity) target for their distributed fuel. In case, they cannot meet the target, they should buy credit to compensate for their shortfall and if they exceed, they can sell their excess. The results, considering the assumptions and limitations of the model, show that the banking strategy of the agents contributing in the LCFS might have negative impact on penetration of EVs, unless there is a regular Credit Clearance to trade credits. It is also shown that the electricity price as result of implementing the LCFS and increasing number of EVs has increased between 2–3 percent depending on banking strategy.

The Practical Stability Analysis of a Type of Electricity Market Model

2013 ◽  
Vol 278-280 ◽  
pp. 2160-2162 ◽  
Author(s):  
Zhan Hui Lu ◽  
Xin Wu
Keyword(s):  
Stability Analysis ◽  
Dynamic Model ◽  
Electricity Markets ◽  
Electricity Market ◽  
Differential Algebraic Equations ◽  
Market Model ◽  
Practical Stability ◽  
Algebraic Equations

The theory of practical stability is used to study the electricity market model which has the three supplier and two consumers. Based on the dynamic model of electricity market proposed by Alvarado, uses differential-algebraic equations and eigenvalue techniques from the theoretical to study the practical stability of the electricity markets.

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.

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