Traditional Dispatch Model Research Articles

Lake Impoundment in Advance of Post-Flood Period Based on Large-Scale Numerical Simulation

Influenced by climate warming and human disturbance, the contradiction between flood control and water supply of the rivers-connected lake is becoming more prominent, and the prevailing dispatch system mainly aimed at flood control is a serious challenge for storage allocation. This paper presents a lake impoundment in advance method during flood recession period, which preliminarily explores the traditional dispatch model and couples it with a high-precision hydrodynamic model. A one- and two-dimensional coupled hydrodynamic model was constructed for integrated flood regulation in the “river-lake-flood detention basin” system. Then a sample library of water storage strategies was developed, which combined impounding times and gate operation schemes based on previous engineering experience. Thus, by combining large-scale numerical simulations of flood scenarios and risk-benefit assessment, the dispatching schemes facilitating the combined use of gates during the post-flood period under different wet-dry conditions were determined. The results show that: (1) the hydrological-hydrodynamic model has high accuracy for realizing the elaborate simulation of flood evolution and inundation dynamic between lands and lakes, with the average error controlled from 0.03 to 0.14 m, (2) the strategy extraction method of post-flood impoundment in advance for the lake basin is proposed, which takes the impounding times, gate scheduling rules, and inflow scenarios into account comprehensively, and (3) under the optimal storage strategies, the water storage efficiency is significantly improved, with the water level overrun rate controlled at 19.24%, the terminal storage level raised by 0.96 m, and the storage capacity increased by 17.0×108 m3 on average. The outcomes will provide support for flood control and water storage improvement during the post-flood period, which is beneficial to the utilization and management of flood resources.

Consensus Dispatch of Distributed Power Network Based on Multi-Access Edge Computing and Multi-Agent System

This paper presents a consensus dispatch model of the distributed power network based on multi-access edge computing (MEC) and multi-agent system (MAS).MEC decentralizes the processing and storage of data in the distributed power system to the edge node combined with MAS, which reduces the amount of calculation in the dispatch center. The model formulates different objective functions for the edge nodes and the cloud center nodes of the MEC to optimally allocate the output of each unit. Meanwhile, in order to meet the consensus dispatch of distributed units, the operational benefits of flexible load, the operating cost of thermal power units, the penalty cost of abandoning wind and solar power for new energy units, and the operation of energy storage devices are utilized as consensus variables. Based on these consensus variables, an optimal dispatch method of the distributed power network is established. Compared with the traditional dispatch model, this model integrates distributed units and autonomous sub-regions through MAS and MEC, which ensures the system performs consensus dispatch under the balance of supply and demand, and also improves the proportion of new energy consumption.

Optimal Dispatch Model Considering Environmental Cost Based on Combined Heat and Power with Thermal Energy Storage and Demand Response

In order to reduce the pollution caused by coal-fired generating units during the heating season, and promote the wind power accommodation, an electrical and thermal system dispatch model based on combined heat and power (CHP) with thermal energy storage (TES) and demand response (DR) is proposed. In this model, the emission cost of CO2, SO2, NOx, and the operation cost of desulfurization and denitrification units is considered as environmental cost, which will increase the proportion of the fuel cost in an economic dispatch model. Meanwhile, the fuel cost of generating units, the operation cost and investment cost of thermal energy storage and electrical energy storage, the incentive cost of DR, and the cost of wind curtailment are comprehensively considered in this dispatch model. Then, on the promise of satisfying the load demand, taking the minimum total cost as an objective function, the power of each unit is optimized by a genetic algorithm. Compared with the traditional dispatch model, in which the environmental cost is not considered, the numerical results show that the daily average emissions CO2, SO2, NOx, are decreased by 14,354.35 kg, 55.5 kg, and 47.15 kg, respectively, and the wind power accommodation is increased by an average of 6.56% in a week.

An Online Rolling Dispatch Optimization Strategy for the Access of Intermittent New Energy

For the volatility and intermittency of intermittent new energy like wind power, traditional dispatch model and technology are severely challenged. According to the characteristics that the prediction accuracy of wind power increases as time scale increases, this paper presents a multi-time scale active power dispatch model based on the traditional dispatch model, and proposes an active power dispatch hierarchical predicting control method on the base of model predictive control and multilevel hierarchical control during industrial control course. Finally, it gets the online rolling dispatch model and strategy for the access of intermittent energy.