Risk Assessment of User Aggregators in Demand Bidding Markets

This paper mainly discusses the demand bidding and risk management of user aggregators by considering profit risk. The covariance matrix price was used to analyze model under an uncertain price. By revenue cost, strategy derived obtain maximum profit. using a risk-tolerance parameter β, new for that takes both into consideration formulated. We simulated posed fluctuating prices this model. Finally, proposes Feasible Particle Swarm Optimization (FPSO) solve aggregators. Through dynamic adjustment control factor parameters in FPSO, we changed behavioral characteristics various types particles, improved search efficiency stability particles high-dimensional space, sought optimal solution system as whole. provides mechanism, improves capability algorithm implementation, increases probability finding solution. simulation results suggest tradeoff between needs be considered process. doing so, enterprises’ abilities terms operation can enhanced, effective achieved.