Optimal Equilibrium Selection of Price-maker Agents in Performance-based Regulation Market
Autor: | Wei Sun, Aras Sheikhi, Mohammad Rayati, Ali Mohammad Ranjbar |
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Rok vydání: | 2022 |
Předmět: |
TheoryofComputation_MISCELLANEOUS
Equilibrium point TK1001-1841 Mathematical optimization frequency regulation (FR) Linear programming Renewable Energy Sustainability and the Environment Computer science Performance-based regulation (PBR) market TJ807-830 TheoryofComputation_GENERAL Energy Engineering and Power Technology mixed-integer linear programming (MILP) Renewable energy sources Oligopoly Electric power system Production of electric energy or power. Powerplants. Central stations Equilibrium selection Frequency regulation multi-agent system Performance-based regulation Equilibrium problem equilibrium problem with equilibrium constraint (EPEC) |
Zdroj: | Journal of Modern Power Systems and Clean Energy, Vol 10, Iss 1, Pp 204-212 (2022) |
ISSN: | 2196-5625 |
DOI: | 10.35833/mpce.2019.000559 |
Popis: | This paper analyzes the oligopolistic equilibrium of multiple price-maker agents in performance-based regulation (PBR) markets. In these markets, there are price-maker agents representing some frequency regulation (FR) providers and a number of independent price-taker FR providers. An equilibrium problem with equilibrium constraints (EPEC) model is employed in this paper to study the equilibria of a PBR market in the presence of price-maker agents and pricetaker FR providers. Due to the incorporation of the FR providers' dynamics, the proposed model is reformulated as a mixed-integer linear programming (MILP) problem over innovative mathematical techniques. An optimal equilibrium point is also selected for the market, where none of the agents is unique deviator and the dynamic performance of power system is improved simultaneously. The effectiveness of proposed optimal equilibrium point is evaluated in the numerical results section by comparing the outputs with conventional optimal dispatches of the FR providers. |
Databáze: | OpenAIRE |
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