Games-based Optimization And Allocation Research Of Electricity In Smart Grid

The concept of smart grid has been recognized by the international power sector, part of developed countries and developing countries have made the construction of intelligent, reliable, safe and efficient power grid as an important part of national strategy. As the increasing worse situation of traditional energy shortage, the development of renewable clean energy is an extremely urgent job, and the access of the renewable energy grid is also the problem smart grid must face and solve. At present,lots of research institutions and enterprises have made a lot of work on problem survey, previous theory and related technologies research.However, how to optimize and allocate electricity after accessing renewable energy, improving the utilization of renewable energy, remains to be further research.Electricity transaction is the valid approach to optimize and allocate electric energy. Therefore, this paper mainly starts from the perspective of the access of new energy and deeply studies the incentive mechanism and trading scheme during the power trading. The primary research content include:(1) Reseairching the incentive mechanism of electricity transaction under asymmetric information. Firstly, we analyze the asymmetric information in the transaction process, studying and extracting the hidden information. Then, we design an appropriate incentive mechanism to promote seller to sell more energy basing on the contract theory.(2) According to the characteristics of the contract-based incentive model, we propose a selling scheme basing on the cooperative games. On the basis of the algorithm 0-1 knapsack and Merge-Split, an algorithm"Join-Quit" is put up to form a stable coalitional structure.Through the contract-based incentive mechanism and coalition-based selling scheme, more renewable energy will be sold to the power grid. The dispatching center can transmit power to the local and nearby consumers, reducing the stress and power loss during long distance transmission and distribution and realizing the optimal allocation of electricity.Finally, the simulation results prove that the hybrid trading mechanism based on the theory of contract and coalition can stimulate enthusiasm of the ending user more effectively, promoting the trading efficiency.