PROJECT TITLE :
Cooperative Control of Power System Load and Frequency by Using Differential Games
Electrical power systems are evolving toward smart grids the globe, which are typically regarded as the next-generation power systems with intensive application of advanced management, communications, and computation techniques. A lot of and a lot of distributed intelligent controllers can be employed in smart grids. Load frequency management (LFC) could be a key issue within the ancient interconnected power systems, which constantly needs completely different management areas (CAs) to share the regulation burden of the CA that lacks regulation capacity by providing the facility supports via the tie-line. Such a process imposes extra regulation costs on the helping CAs, for example, the damage of generating units, which might lead to the unfairness and the CAs' deviation from the LFC command. This state of affairs becomes even additional serious with the combination of intermittent renewable energy such as wind and solar power. During this paper, cooperative control by using differential games (DGs) is proposed as a doable answer to the present problem. With a two-space and a 3-space LFC models, a noncooperative equilibrium resolution, and 2 cooperative equilibrium solutions with different time-consistency properties are derived. The case studies compare the proposed three DG-based LFC schemes with the ancient approaches based on proportional-integral management and therefore the optimal management, and therefore the results show that the cooperative management schemes allocate the regulation burden additional rationally and guarantee the CAs' sticking to the LFC command, which will be favorable to the steadiness of power system operation. The capability of conflict solution of DG-primarily based cooperative control makes it a terribly promising theme for good grid management.
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