Considering comprehensive energy efficiency and economy, VPP (virtual power plant) bi-objective planning optimization is put forward. This paper constructs VPP overall exergy conception, including, investment, operation, maintenance, energy conversion and environmental cost. Using analytic hierarchy process (AHP) and entropy weight method, a combined weight in bi-objective optimization is figured out to achieve more environmentally allocation. The final planning reaches a balance between the efficiency and economy. Simulation cases testify the effectiveness of planning optimal model and solution methods algorithm.

The ubiquitous power Internet of things (UPIoT) can realize the wide interconnection of all links of the power system. Based on this background, this paper proposes the price incentive agreement of distributed new energy aggregators and establishes distributed dispatching architecture. Firstly, the information transmission matrix of distributed new energy aggregators with the property of double random matrix is established, and the distributed sub-gradient algorithm based on information transmission matrix is used to solve the distributed dispatching model of new energy aggregators. Finally, the feasibility and effectiveness of the optimization model and its solution method are analyzed through simulation examples, and the information interrupt, information error that may be encountered are also discussed.

In the combined heat and power system, based on the principle of “temperature matching and cascading utilization”, this paper utilizes different qualities of heat energy and proposes the definition of energy efficiency to improve energy utilization efficiency. This paper analyzes the structure of the cogeneration system, establishing a cogeneration system based on different qualities of heat energy, and takes the lowest total cost and minimizes the useful power loss as the objective function. The model establishes a multi-objective function, and uses a fuzzy algorithm to solve it. The calculation example establishes a combined heat and power system, which proves that the utilization of different qualities of heat energy in the combined heat and power system reduces the loss of useful energy and achieves the optimal management of economic utilization and energy value.

The ubiquitous power internet of things (UPIoT) can make full use of advanced communication technologies to realize the wide interconnection of power generation, transmission, distribution and use in the power system, thus providing technical support for the massive access of distributed generations (DGs). Under the background of the UPIoT, the idea of the P2P technology was applied to establish the decentralized scheduling architecture of distributed generations, so that the optimal scheduling could be completed through information interaction based on communication among distributed generations. The distributed sub-gradient algorithm was applied to solve the established P2P optimal scheduling model, and the doubly stochastic matrix was introduced to construct the connection matrix between nodes in the UPIoT. Finally, the feasibility and effectiveness of the optimization model and its solution method were verified through simulation examples, and the interrupts and errors that may be encountered in the communication process were also discussed.

Under the constraints of environmental impact assessment, in addition to considering the safety and economy of power system operation, attention should also be paid to CO2 emissions during operation. This paper studies the low-carbon dispatch problem of virtual power plant from two aspects of power generation resources and flexible load, and establishes a low-carbon dispatch optimization model considering the price response of demand-side carbon emissions. Firstly, the power generation plan is made considering carbon emission constraint for power sources. Secondly, the price response function of load is made in order to adjust the selling price of electricity to adjust the consumption of electricity and thus limit the carbon emission. Finally, the comprehensive operation costs of virtual power plant in different scenarios are analyzed through simulation examples. The low carbon and economy of the model is verified by the results of examples.