A Multi-Agent Optimal Bidding Strategy in Multi-Operator VPPs Based on SGHSA

As an individual plant participating in the power market, virtual (VPP) is regarded as ultimate configuration of energy Internet, and effective dispatching a challenge. This paper proposes multi-agent optimal bidding strategy based on self-adaptive global harmony search algorithm (SGHSA) to solve problem multi-operator participation station scheduling. The method takes multiple agents simulate process VPPs distributes profits for operators market mechanism optimize distributed resources (DERs). Case studies are provided show that proposed realizes distribution generation demand level, which improves comprehensive advantage VPP electricity transactions.