考虑CO2排放交易的微电网der优化调度

Reza Keypour, S. Bazyari
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引用次数: 2

摘要

微电网技术为新能源和可再生能源并网提供了有效的技术途径;然而,微电网优化运行问题一直是微电网优化研究的重点和难点之一。二氧化碳排放权交易的实施为微电网经济运行提供了有利条件。为了分析二氧化碳排放权交易对并网微网的影响,考虑二氧化碳排放权交易,建立微网最优运行模型。提出了一种改进的人工鱼群算法(Artificial Fish Swarm Algorithm, AFSA),以总经济成本最低为目标求解模型。对典型微电网的仿真结果表明,该模型适用于解决微电网并网运行问题,并且CO2排放权交易能够显著提高微电网的经济性。
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Optimal scheduling of DERs in a micro-grid by considering CO2 emissions trade
The micro-grid technology provides an effective technical approach for the new energy and renewable energy to grid-connect; however, the micro-grid optimal operation is one of the most important and difficult studies. The implementation in CO2 Emissions Trade provides favorable conditions for micro-grid operating economically. In order to analyze the effects of CO2 Emissions Trade on grid-connected micro-grid, CO2 Emissions Trade is taken into account to build an optimal operation model of micro-grid. The modified Artificial Fish Swarm Algorithm (AFSA) has been issued to solve the model based on the target, the lowest totally economic cost. The results of the simulation on typical micro-grid show that the model is suitable to solve micro-grid parallel running, and more important, the CO2 Emissions Trade can significantly improve the economics of micro-grid.
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