Research On Bidding Strategy And Optimal Operation Of Multi-energy Complementary Park Electricity Retailer

With the increasing attention to energy sustainable development and environmental issues,as practical examples of integrated energy systems,multi-energy complementary parks have been rapidly developed.The multi-energy complementary parks can fully utilize the mutual coupling and conversion of multiple energy to realize multi-energy coordinated scheduling optimization and improve energy utilization efficiency.In addition,the development of smart grid technology has increased the initiative and controllability of demand-side resources,making it possible to participate in the electricity market with abundant demand-side resources in multi-energy complementary parks.In this context,this paper studies the multi-energy complementary park participating in the electricity market bidding and the internal operation optimization mechanism.Firstly,the mathematical modeling of various resources in the multi-energy complementary park is carried out,and then the multi-energy complementary park electricity retailer is proposed as the operator of the park.Resources of the park are integrated internally by park electricity retailer,and park electricity retailer participate in the electricity market as a representative of the park.Then proposes an optimized scheduling model for the park electricity retailer,through cases study to show the benefits of complementary park retailer as the operator of the park.Then this paper considers park electricity retailer to participate in the two-stage electricity market including the day-ahead market and the real-time market,and considers the uncertainty of renewable energy power generation,proposes a bilevel optimization model for the park electricity retailer to participate in the electricity market.The upper level is maximize the energy utility of park,and the lower level is market clearing.By using the Karush–Kuhn–Tucker condition,complementary relaxation condition and duality theorem,the bilevel optimization model is convert to a mixed-integer linear programing problem.The cases study shows that the park electricity retailer can control the interaction between the park and the market through the optimal bidding according to the status of market conditions of the park,to maximize the benefits and promote the consumption of renewable energy.Finally,this paper studies the optimization operation mechanism of the resources and load by multi-energy complementary park electricity retailer,proposes that the park electricity retailer guide users’ energy consumption by setting electricity,heat and cold energy prices.Considering the user’s energy utility,a bilevel model for optimizing the operation of the park electricity retailer is established.The upper level maximizes the benefits of the park,and the lower level uses the lowest cost for the user.By using the Karush–Kuhn–Tucker condition,complementary relaxation condition and duality theorem,the bilevel optimization model is convert to a mixed-integer linear programing problem.The cases study shows that using the proposed optimization interaction mechanism,the park electricity retailer can reasonably choose the energy strategy to achieve optimal operation,and can guide the user’s behavior with reasonable energy prices,so that the benefits of the park can be improved.The cost of energy consumption will be reduced to achieve a win-win situation for both parties.