Agent-based modeling of the demand-side system reserve provision

Lakic, Edin; Artač, Gašper; Gubina, Andrej F.

doi:10.1016/j.epsr.2015.03.003

Cited by 15 publications

(9 citation statements)

References 39 publications

(46 reference statements)

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“…Equation (18) represents the maximum limit of the transmission line, (19) limits the offer quantity of generators, and (20) represents the offer price bound of each generator. Here, pc is the market price cap.…”

Section: Two-bus Modelmentioning

confidence: 99%

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An iterative method for detection of the collusive strategy in prisoner's dilemma game of electricity market

Mohtavipour

Zideh

2018

IEEJ Transactions Elec Engng

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The aim of this article is to present a method, which is called the ‘iterative collusive strategy (CS) search method’, to detect the CS in prisoner's dilemma game in which there is collusive equilibrium. We apply this method to an example of two‐player prisoner's dilemma game and a numerical duopoly example to show its effectiveness. To simulate the electricity market models, we use this method with a local optimization algorithm. Then, we employ a hybrid technique by applying an agent‐based model to the iterative CS search method for improving the results and speeding up their convergence. We simulate an electricity market example with transmission constraint to test the effectiveness of local and hybrid iterative CS search methods. Simulation results show that both local and hybrid iterative CS search methods could successfully identify the CS; however, the hybrid iterative CS search method converges to the final results with less iteration numbers. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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Section: Two-bus Modelmentioning

confidence: 99%

“…In Ref. , an agent‐based modeling has been used to analyze consumers' decisions in the system reserve provision in which consumer agents are capable of learning how to bid for improving their payoffs in the reserve market using the SA‐Q‐learning algorithm. In Ref.…”

Section: Introductionmentioning

confidence: 99%

An iterative method for detection of the collusive strategy in prisoner's dilemma game of electricity market

Mohtavipour

Zideh

2018

IEEJ Transactions Elec Engng

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“…Balancing market [26] Customer electricity cost Electricity market/ Agent-based demand-side Real-time pricing minimization…”

Section: Related Workmentioning

confidence: 99%

Provoking Residential Demand Response Through Variable Electricity Tariffs - A Model-Based Assessment for Municipal Energy Utilities

Scheller

Krone

Kühne

et al. 2018

Technol Econ Smart Grids Sustain Energy

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With the suitable infrastructure of information and communication technologies in place, customers are able to perform demand response (DR), meaning that they can decrease or increase their electricity consumption in response to changes in their electricity tariff. In this research, different variable electricity tariffs are designed taking both customer and utility preferences into account. Subsequently, a model-based analysis on the basis of optimization model IRPopt (Integrated Resource Planning and Optimization) is carried out. Electricity customers are exposed to the designed tariffs in order to find out whether variable electricity tariffs are a suitable instrument for municipal energy utilities to exploit the potential laying in residential DR. Loads considered for DR in this work are those of selected electric household appliances and the loads of electric heat pumps. One major contribution of this work is that the assessment differentiates between different types of energy utilities, whose specific generation profiles are taken into account in the design of the variable tariffs. The results show that variable electricity tariffs have a small economic potential. However, customers only benefit if the design of the business model includes a proper compensation mechanism. In this context, successful business models require the direct cooperation of different municipal energy market actors. Furthermore, taking the specific generation profiles of municipal energy utilities into account in the design of variable electricity tariffs helps to increase the energy autonomy of municipalities.

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“…Most of the previous research works, have studied energy market as a stochastic environment [21, 22]. Recent studies include, complementarity‐based approaches [23] and matrix games [23, 24].…”

Section: Introductionmentioning

confidence: 99%

Markov game approach for multi‐agent competitive bidding strategies in electricity market

Rashedi

Tajeddini

Kebriaei

2016

IET Generation, Transmission & Distribution

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Agent-based modeling of the demand-side system reserve provision

Cited by 15 publications

References 39 publications

An iterative method for detection of the collusive strategy in prisoner's dilemma game of electricity market

An iterative method for detection of the collusive strategy in prisoner's dilemma game of electricity market

Provoking Residential Demand Response Through Variable Electricity Tariffs - A Model-Based Assessment for Municipal Energy Utilities

Markov game approach for multi‐agent competitive bidding strategies in electricity market

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