不同电价下含储能系统的微电网经济调度

为了验证不同电价下储能技术的削峰填谷及其在电力系统经济调度中的作用，对含有储能的微电网进行建模分析。建立了含有风机、光伏电池、热电联产系统、燃料电池、燃气锅炉及储能系统的并网型微电网结构，在充分考虑电力市场分时/实时电价的条件下，优化了计及设备维护成本、售热收益和微电网与大电网之间的电能交互成本等的经济模型，并采用混合杂草蝙蝠算法对所提模型进行了优化。以2种电价下不含储能系统的微电网经济调度模型作为对照，通过具体的微电网实例优化了冬季典型日负荷下各微电源的最优机组出力和最佳运行成本。仿真结果验证了所提算法和模型的有效性：储能能够在电价引导下对网内电负荷削峰填谷并降低微电网运行成本；同时，不同电价政策对微电网总运行成本及储能作用的发挥影响不同。

Economic Dispatch of Microgrid with Energy Storage under Different Price Policies

In order to verify the role of energy storage in peak shaving and economic dispatch of power system under different price policies, the paper models the microgrid with energy storage. Firstly, a typical microgrid is built which contains the wind turbine, photovoltaic cell, combined power and heat system, boiler, fuel cell and energy storage system. Then, given the time-of-use (TOU) price and real-time price (RTP), an economic model is established with consideration of the heat sale profit, maintenance cost and power exchange cost between microgrid and grid, and is optimized with the Hybridize Invasive Weed Bat Algorithm (HIWBA). In addition, in order to verify the effectiveness of the proposed model and the reached conclusions, by taking to the economic dispatch model of microgrid without energy storage under two different price policies as a reference, the paper optimizes the optimal outputs and operation costs of the distributed generator units of a practical microgrid on a typical winter day. The results indicates that the energy storage can help regulate the peak load and reduce the operation costs, and different price policies have different impacts on cost reduction and the effectiveness of energy storage.