Dynamic economic dispatch of a microgrid: Mathematical models and solution algorithm

• Published in: International journal of electrical power & energy systems Vol. 63; pp. 336 - 346
• Main Authors: Wu, Hongbin, Liu, Xingyue, Ding, Ming
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.12.2014; Elsevier
• Subjects: Applied sciences; Direct energy conversion and energy accumulation; Dynamic economic dispatch; Electrical engineering. Electrical power engineering; Electrical power engineering; Energy; Exact sciences and technology; Improved particle swarm optimization; Microgrid; Miscellaneous; Monte Carlo simulation; Natural energy; Operation scheduling strategies; Operation. Load control. Reliability; Power networks and lines; Uncertainty; Wind energy; Improved particle swarm optimization; Uncertainty; Microgrid; Operation scheduling strategies; Dynamic economic dispatch; Monte Carlo simulation; Dispatching problem; Costs; Optimization method; Turbine; Wind generator; Wind energy; Photovoltaic array; Mathematical model; Distribution network; Fuel cell; Spinning reserve; Grid-connected system; Diesel engine; Secondary cell; Scheduling; Distributed system; Algorithm; Electrical network; Solar energy; Numerical simulation; Internal combustion engine; Economic aspect; Economic impact; Planning
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/j.ijepes.2014.06.002

•We established mathematical models for the dynamic economic dispatch of a microgrid.•The spinning reserve probability constraint considering uncertainty was researched.•An improved PSO algorithm combined with Monte Carlo simulations was applied.•Four control strategies under different operating modes were considered.•Several factors that influenced the dynamic economic dispatch were analyzed. Dynamic economic dispatch of a microgrid is better suited to the requirements of a system in actual operation because it not only considers the lowest cost in a scheduling cycle but also coordinates between different distribution generations (DGs) over many periods. So it is very significant to research the dynamic economic dispatch of a microgrid. Since wind energy and solar energy are subject to random variations and intervals, there is great difficulty in solving the dynamic economic dispatch. In this paper, we establish a combined heat and power (CHP) microgrid system which includes wind turbines (WT), photovoltaic arrays (PV), diesel engines (DE), a micro-turbine (MT), a fuel cell (FC) and a battery (BS). Comprehensively considering the operation cost and the pollutant treatment cost of the microgrid system, we choose the maximum comprehensive benefits as the objective function for the dynamic economic dispatch. At the same time, we establish the spinning reserve probability constraints of the microgrid considering the influence of uncertainty factors such as the fluctuation of the renewable energy, load fluctuation error, and fault shutdown of the unit. Also researched are four different operation scheduling strategies under grid-connected mode and island mode of the microgrid. An improved particle swarm optimization (PSO) algorithm combined with Monte Carlo simulation is used to solve the objective function. With the example system, the proposed models and improved algorithm are verified. When the microgrid is running under the grid-connected mode, we discuss the influence of different scheduling strategies, optimization goals and reliability indexes on the dynamic economic dispatch. And when the microgrid is running under the island mode, we discuss the influence of the uncertainty factors and the capacityof the battery on the dynamic economic dispatch. The presented research can provide some reference for dynamic economic dispatch of microgrid on making full use of renewable energy and improving the microgrid system reliability.