Open Energy Market Strategies in Microgrids: A Stackelberg Game Approach Based on a Hybrid Multiobjective Evolutionary Algorithm

Belgana, Ahmed; Rimal, Bhaskar Prasad; Maier, Martin

doi:10.1109/tsg.2014.2363119

Cited by 53 publications

(38 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…RE UC NCG SG [3,4] √ × × × [5][6][7] × √ × × [8][9][10][11][12][13][14] × × √ × [15][16][17][18][19][20][21] × × × √…”

Section: Indexesmentioning

confidence: 99%

“…Meanwhile, in order to increase its profit, the energy provider faces a problem of pricing decision. With the development of renewable energy (RE), it is reasonable for the energy provider to use the renewable energy as supply [3,4]. Due to the introduction of the renewable energy, the energy provider has to predict the generating capacity of the renewable energy system, and then decides how much energy it needs to purchase from the electricity markets.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Energy Trading and Pricing in Microgrids with Uncertain Energy Supply: A Three-Stage Hierarchical Game Approach

Yang

et al. 2017

Energies

View full text Add to dashboard Cite

This paper studies an energy trading and pricing problem for microgrids with uncertain energy supply. The energy provider with the renewable energy (RE) generation (wind power) determines the energy purchase from the electricity markets and the pricing strategy for consumers to maximize its profit, and then the consumers determine their energy demands to maximize their payoffs. The hierarchical game is established between the energy provider and the consumers. The energy provider is the leader and the consumers are the followers in the hierarchical game. We consider two types of consumers according to their response to the price, i.e., the price-taking consumers and the price-anticipating consumers. We derive the equilibrium point of the hierarchical game through the backward induction method. Comparing the two types of consumers, we study the influence of the types of consumers on the equilibrium point. In particular, the uncertainty of the energy supply from the energy provider is considered. Simulation results show that the energy provider can obtain more profit using the proposed decision-making scheme.

show abstract

“…RE UC NCG SG [3,4] √ × × × [5][6][7] × √ × × [8][9][10][11][12][13][14] × × √ × [15][16][17][18][19][20][21] × × × √…”

Section: Indexesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy Trading and Pricing in Microgrids with Uncertain Energy Supply: A Three-Stage Hierarchical Game Approach

Yang

et al. 2017

Energies

View full text Add to dashboard Cite

show abstract

“…Stevanoni et al [16] proposed a tool for long-term planning of the connected industrial MGs, and the long-term investments and short-term decisions are coupled via the game approach. An energy trading framework based on the Stackelberg game theory was proposed to improve economic benefits of the MMG [17][18][19][20][21][22]. Lee et al [17] proposed a distributed energy trading mechanism among MGs in a competitive market to maximize the payoff of all participating MGs.…”

Section: Introductionmentioning

confidence: 99%

“…Lee et al [17] proposed a distributed energy trading mechanism among MGs in a competitive market to maximize the payoff of all participating MGs. Belgana et al [18] developed a bi-level hybrid multi-objective evolutionary algorithm to minimize carbon emissions while maximizing the profit of power grid. Bae et al [19] studied two systems for energy trading among energy prosumers, a buyer-pricing-system and a seller-pricing-system, by constructing a game mode.…”

Section: Introductionmentioning

confidence: 99%

Energy Market Management for Distribution Network with a Multi-Microgrid System: A Dynamic Game Approach

Tong

Zheng

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

This paper proposes an energy market management framework to address the day-ahead optimization of a distribution network (DN) with a multi-microgrid (MMG). In this framework, an economic optimization based on a dynamic game is designed to ensure the reliability and stability of the DN operation while setting the internal transaction price to minimize the operation cost of the distribution network operator (DNO). The DNO, as a leader, sets the power flow constraints and microgrid operators (MGOs), as followers, respond to the internal transaction price and in turn affect the DNO's price decision. The price incentive mechanism of the DNO is to encourage MGs to participate in energy market management, to promote joint operation of MGs and to reduce the operation cost of MGOs. The differential evolution algorithm and mixed integer programming method are applied to find the equilibrium solution to the dynamic game. Numerical simulations of a modified IEEE 33-bus system show the effectiveness of the proposed energy market management framework.

show abstract

“…15 However, the carbon emissions from electricity generation are dependent on the types 16 of renewable energy sources and the quantity of electricity that is produced. We can 17 define the carbon intensity by the amount of emitted CO 2 per unit of produced 18 electricity (Belgana, et al, 2015;Feng, et al, 2015). 19 A smart grid is a next-generation electric power system with communication 20 technologies and advanced control methods.…”

mentioning

confidence: 99%

Novel home energy management system using wireless communication technologies for carbon emission reduction within a smart grid

Elkhorchani

Grayaa

2016

Journal of Cleaner Production

View full text Add to dashboard Cite

Open Energy Market Strategies in Microgrids: A Stackelberg Game Approach Based on a Hybrid Multiobjective Evolutionary Algorithm

Cited by 53 publications

References 23 publications

Energy Trading and Pricing in Microgrids with Uncertain Energy Supply: A Three-Stage Hierarchical Game Approach

Energy Trading and Pricing in Microgrids with Uncertain Energy Supply: A Three-Stage Hierarchical Game Approach

Energy Market Management for Distribution Network with a Multi-Microgrid System: A Dynamic Game Approach

Novel home energy management system using wireless communication technologies for carbon emission reduction within a smart grid

Contact Info

Product

Resources

About