Abstract. Optimizing generation resource joint scheduling is of great significance for the economic operation of power system and achieving emission reduction targets. To compare the economic and environment benefits between generation resource scheduling models, which are under different scheduling objectives and constraints, considering unit contribution, generation resources, and pollution constraints, this paper established three generation scheduling optimization models that under contract power mode, ideal energy -saving generation mode and the cooperation mode of the former two. On this basis, this paper put forward the power generation resource scheduling effectiveness evaluation model, and made a simulation, using the data of wind power, hydropower, and thermal power units. The results showed generation resources under the cooperation model joint scheduling optimization model can significantly reduce the discharge of pollutants, produce the least abandoned wind and abandoned water, and the overall power generation profits are of 5.5% and 1.5%, respectively, higher than the other two models. In summary, it is able to obtain more comprehensive benefits. Introductions

A modeling method of regional integrated energy system based on bus method and transient simulation is proposed, and the system optimization is based on the dynamic balance of supply and demand in the whole year energy supply cycle. A CCHP system of gas turbine coupled with ground source heat pump and electric refrigeration unit is constructed. The energy relationship of the system is described by bus structure, and the transient calculation model is built on TRNSYS platform. The weighted sum of annual total cost saving rate, primary energy saving rate and environmental pollutant shadow cost saving rate is taken as the optimized objective function, and on the basis of annual dynamic balance, the Hooke-Jeeves algorithm is used for optimization of the system configuration. A complex commercial area in Beijing is taken as an example, and different weighting coefficients are set for optimization of the system configuration. The results show that, from the perspective of economy, environmental benefit and primary energy consumption, performance of the system increases and then decreases with rise of gas turbine power; under the simulated cooling/heating load, the maximum number of optimum configuration is seen in the combination of 35 kW gas turbine + 723 kW GSHP and 1178 kW electric chiller; in comparison with traditional distributed system, the annual cost saving rate, primary energy saving rate and environmental pollutant shadow cost saving rate of the system are 29.4%, 49.6% and 58.2%, respectively.

Promoting deep peak-shaving reform to excavate the peak-shaving potential of thermal power unit is an important way to solve the renewable energy consumption contradiction in Beijing-Tianjin-Tangshan power grid, which is restricted by the rationality of deep peak-shaving revenue. Based on the peak-regulation auxiliary service in Beijing-Tianjin-Tangshan power grid, this paper analyses the economy of deep peak-shaving reform of a 600MW thermal power unit and the effect of peak-shaving demand and coal price, providing reference for the operation management of thermal power units.

Micro energy network, as an important form of energy Internet, is one of the development trend of the future energy system. The frame of micro energy network is proposed using the micro energy network in Qingdao as an example. The optimal scheduling model of micro energy network based on Time-of-use (TOU) policy, with the minimum energy cost as objective function, is built in the paper. The model is solved by nonlinear optimization method and the output of the equipment in the micro energy network is obtained to meet the different daily load demands. According to the optimized results, the peak regulating strategy is proposed. The result shows that the optimal scheduling model of micro energy network based on TOU policy can improve the economy and make micro energy network play a great role in 'cut peak and fill valley'.