Hybrid Energy Scheduling In A Renewable Micro-grid Based On Modified Krill Herd Algorithm

As the concept of low-carbon economy proposed, the renewable energy and clean energy power generation has been enjoying rapid development. Hybrid energy micro grid which taking the Thermoelectric power supply system as the core has become a focus of researches on second generation energy technologies for its variety in energy supply and high efficiency in energy utilization. However, the optimization of its operation still has some problem because of these characteristics. As hybrid energy scheduling would reduce the operation costs, promoted the energy efficiency and environment benefits, we should pay much attention to the research on this issue.The paper mainly focuses on optimization schedule of the hybrid energy micro-grid, which involves thermoelectric power supply system, wind power, photovoltaic power, energy storage system, electric vehicle and the demand side response. Firstly, precise modeling of distributed energy resources (DERs) power output is done with consideration of the intermittence of renewable energy, output ratio of the micro gas turbine, life cycling of storage batteries and ordered charging and discharging of electric vehicle, hence making the simulation result accurate and practical. Then, as the micro energy source involved in the optimization is characterized with complex operation states, multi-constraints and multi-variables, the improved MKH Algorithm based on chaotic local search factor is proposed to solve the optimization model, followed by a testing calculation on the major performance indexes, i.e. search capability and rate of convergence, with selection and utilization of a particular testing function. The result indicates that MKH Algorithm processes reinforced global search capability and rate of convergence compared to the original KH Algorithm. Finally, an objective function is established to minimize the cost of gas, purchase fee, depreciation of DERs as well as the operation and maintenance cost with consideration of constrains including power balance and DERs power output. The validity of the proposed model is verified through simulation on a regional micro grid in South China. The optimal operation scheme of the micro grid is obtained via calculation of the operation and maintenance cost and the profit under various operation patterns.