Optimization and Control Method for Adjustable Load Under Distributed Transactions Considering Security Verification

Abstract

This article focuses on the key issues of demand-side distributed trading in response to the challenges faced by traditional wholesale electricity markets in transitioning to new power systems. First, considering the large number of participants, small trading volume in the demand side distributed trading market, and the unsuitability of traditional centralized clearing mechanisms, a suitable framework and trading mechanism for the distributed trading market have been designed. Second, the problems of reverse energy transmission, voltage overload, and power flow exceeding limits caused by distributed new energy access in the new power system were analyzed, and a distributed transaction security verification method based on multi-perception layer neural networks was proposed. Finally, the impact of rapidly changing market conditions, distributed new energy, and uncertainty in actual electricity output on user optimization scheduling was emphasized, and a user optimization scheduling model was established to achieve low-cost control. This article aims to fully tap into the potential of demand-side regulation under the premise of market clearing, facilitate the local utilization of distributed renewable energy, and guarantee the secure and reliable operation of the power grid.