Economic Optimization Scheduling Based on Load Demand in Microgrids Considering Source Network Load Storage

As a large number of flexible elements such as distributed power and flexible load are connected to microgrids, the economic improvement of microgrids has become an important topic through rational energy distribution. In this paper, an economic scheduling model considering the load demand for a microgrid system under the mechanism of a peak-valley tariff is proposed. A mathematical model of the microgrid components is proposed to determine the exchange power between the microgrid and main network. Meanwhile, an improved War Strategy Optimization (WSO) algorithm is proposed to investigate three scenarios: (i) without batteries, (ii) with batteries and (iii) with batteries and demand response. Additionally, demand response optimization is carried out with the Particle Swarm Optimization (PSO) algorithm and the improved WSO is compared with four other algorithms in scenario (iii). The comparison shows that the improved WSO algorithm has a better optimization performance in solving the proposed scheduling model.

Automated summary

In this paper, an economic scheduling model considering the load demand for a microgrid system under the mechanism of a peak-valley tariff is proposed. The exchange power between the microgrid and main network is determined using a mathematical model of the microgrid components. An improved War Strategy Optimization (WSO) algorithm is used to investigate different scenarios, and the results show that the improved WSO algorithm performs better in optimizing the proposed scheduling model.