Abstract
With the development of distributed renewable energy, a micro-energy grid (MEG) is an important way to solve the problem of energy supply in the future. A two-stage optimal scheduling model considering economy and environmental protection is proposed to solve the problem of optimal scheduling of micro-energy grid with high proportion of renewable energy system (RES) and multiple energy storage systems (ESS), in which the risk is measured by conditional value-at-risk (CVaR). The results show that (a) this model can realize the optimal power of various energy equipment, promote the consumption of renewable energy, and the optimal operating cost of the system is 34873 USD. (b) The dispatch of generating units is different under different risk coefficients λ, which leads to different dispatch cost and risk cost, and the two costs cannot be optimal at the same time. The risk coefficient λ shall be determined according to the degree of risk preference of the decision-maker. (c) The proposed optimal model could balance economic objectives and environmental objectives, and rationally control its pollutant emission level while pursuing the minimum operation costs. Therefore, the proposed model can not only reduce the operation cost based on the consideration of system carbon emissions but also provide decision-makers with decision-making support by measuring the risk.
Highlights
Between 1:00 and 2:00, the system bought more power from the utility grid because the number of gas turbines started at the initial moment was small and the maximum climbing power was limited
From 19:00–21:00, more power was purchased from the utility grid, which was caused by insufficient power supply in peak load period
The results show that the weighting coefficient of system operation cost and environmental cost has a significant impact on system economy and carbon emission in micro-energy grid (MEG) scheduling
Summary
With the development of national economies and the acceleration of urbanization, related problems in the field of energy have become increasingly prominent. It can achieve basic balance between local energy production and energy use load through energy storage and optimal configuration, realize the multicomplementary of various distributed energy sources such as wind, photovoltaic, and natural gas, and flexibly interact with the public power grid according to needs [4]. It can absorb wind, photovoltaic, natural gas and other distributed energy through energy storage, conversion and optimal configuration, and meet energy load demands of electricity, heat, cold, and gas in coordination. The construction of the decision-making optimization model of the micro-energy grid in the spot market of electricity will become the key problem faced by the energy system
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