Distributed Energy Consumption Based On Demand Side Scheduling Priority

Various new information technologies have gradually penetrated into all aspects of the energy system from the source termination to the consumer terminal.The intelligent level of Energy Internet is higher,and its operation is more efficient and flexible.But it also faces severe challenges in system architecture,management mode and operation mode.On the one hand,the complexity of load types and users’electricity consumption behavior,as well as the increasing proportion of distributed renewable energy,have brought about changes in the structure and flow of Energy Internet.In this case,power transmission and distribution become more complex.So it is urgent to improve the optimization level of load management.On the other hand,through the real-time prediction of energy supply and demand,the energy Internet market transaction and demand response mechanism can be improved timely and accurately,so as to realize the wide application of distributed multi energy agents in regional integrated energy systems such as microgrid,and ensure the multi energy mutual compensation and low-carbon sustainability of the system.Therefore,this paper starts from the demand of renewable energy consumption,flexible scheduling and multiple control of energy Internet.Large users and Microgrid are taken as typical representatives of traditional load and new load respectively.A load management optimization scenario based on multiple feedback of energy router is constructed for large users.For the micro network,the initiative and flexibility are fully considered,and the transaction architecture of aggregator micro network alliance is established based on blockchain technology.Then,for large users,this paper synthetically judges the regional-level large user scheduling priority by user influence,load elasticity and fairness factor,and constructs a renewable energy accommodation guidance mechanism based on scheduling priority.Based on user hierarchy and electricity price stretching rate,a renewable energy consumption algorithm is designed.The effectiveness of the algorithm is verified by multi-objective genetic algorithm,which provides a new solution for promoting renewable energy consumption through load management.Finally,for microgrid,the particularity of its structure and its flexibility in energy trading are considered.In the alliance of aggregators and microgrids cluster transaction architecture,Based on the principle of multi energy complementary,a node model considering carbon quota mechanism and environmental identification factor was established for the aggregator nodes,and the microgrid nodes including CCHP(combined cooling heating and power)system.Based on the new energy trading mode between aggregators and microgrid nodes,the environment identification factor incentive mechanism of dynamic cooperative game and the intelligent contract supported by MOEA/D(multi-objective evolutionary algorithm based on decomposition)were designed.And the co governance coefficient is proposed as an index to evaluate the operation strategy of microgrid group.The example shows that the co governance transaction algorithm is based on the utility of each transaction node.At the same time,the algorithm can also effectively promote the nearby consumption of new energy,so as to ensure the low-carbon sustainable development of the microgrid cluster.