Dual-layer optimized grid-connected operation strategy of electro-thermal multi-microgrid system considering the uncertainty of renewable energy sources

Abstract

Interconnecting multiple combined heat and power (CHP) microgrids with the distribution network to form a CHP multi-microgrid system can promote the complementarity of various energy forms effectively and improve energy utilization efficiency. Therefore, a dual-layer stochastic optimal scheduling strategy of a multi-microgrid system interconnected with multiple CHP microgrids and multi-node distribution networks is proposed in this paper. In this strategy, the whole system is divided into two layers: (1) The lower layer adopts a stochastic simulation method based on versatile distribution to randomly generate a large number of scenarios and then uses a backward scenario reduction method to reduce the generated scenarios to a target number. Furthermore, with the goal of minimizing the sum of the weighted costs of the microgrid in each scenario, an economically optimal mixed integer programming model for a CHP microgrid with multiple energy storage devices is established. The output power of the electro-thermal units is optimized in each microgrid, and then the power to buy or sell power for each microgrid is determined. (2) The upper layer takes the minimum loss of the distribution system connected to multiple CHP microgrids as the goal and considers the power of each microgrid optimized by the lower layer as constraints. The optimal power flow model of the multi-node power distribution system is formulated based on the second-order cone relaxation technology, and the global optimal solution of the power node is obtained. Finally, the daily dispatch in which the IEEE-30 node power system connected to multiple CHP microgrids is used as an example for analysis. The results show that considering the uncertain factors of wind and solar output can effectively improve the reliability and robustness of the system when multiple CHP microgrids are connected to distribution network. Meanwhile, the coordinated use of multiple flexible coupling devices can reduce economic costs and promote energy consumption.

A Review on Optimal Energy Management of Multimicrogrid System Considering Uncertainties

“…Therefore, the energy management problem of MMG is essentially a problem of multi-scenes, multi-objectives, nonlinear and mixed uncertainty. To solve this problem, enumeration method [144][145][146][147][148][149], mixed integer programming method [80], [163], heuristic algorithm [89][90][91][92] have been studied respectively. Enumeration, as the name implies, enumerates all possible combinations of optimized variables.…”

“…To a certain extent, this method can reduce the complexity of scenarios faced by MMG system in energy management. Reference [145] adopted the method based on random scenarios to deal with the uncertainty of renewable energy generation and used a backward scenario reduction method to reduce the generated scenarios and the amount of calculation. Reference [146] proposed an energy management strategy based on unexpected events for MMG system.…”