综合能源微网系统的滚动优化经济调度

Rolling Optimization of Economic Dispatching for Multi-energy Micro-grid System

提出了不确定实时运行环境下综合能源微网系统的最优经济调度模型。考虑模型中涉及可再生能源机组出力、需求侧负荷及实时电价等随机因素,采用滚动优化方式平抑其影响,以最大限度地提高能源利用率。进一步针对微网热电联供的特点,以微燃机作为热电耦合单元,建立同时满足网络潮流约束与热平衡约束的综合能源微网最优潮流模型。针对模型的混合整数与非线性特征,采用含自适应变化惯性权重的改进粒子群优化算法进行求解,并以启发式规则约束热电耦合单元进化方向。以改造后的IEEE 37节点配电系统为例,验证了微网滚动优化调度模型与相应求解方法的有效性。

An optimal economic dispatching model of multi-energy micro-grid system within uncertain real-time surroundings is proposed in this paper. Given that the model involves random factors including renewable energy generation, demand-side load and real-time price, a rolling optimization strategy is implemented to restrain their effects and maximize the energy utilization efficiency. Furthermore, considering the cogeneration of heat and power from the microgrid system, a micro-turbine is regarded as the coupling unit, and the network power flow constraints are combined with the thermal balance constraints to establish an optimal power flow model of the multi-energy micro-grid. To comply with the mixed-integer and nonlinear features of the proposed model, an improved particle swarm optimization algorithm is applied with self-adaptive weight factor, and heuristic rules are used to confine the evolutionary direction of the thermalpower coupling units. The proposed model and its solution method are tested on a reconstructed IEEE 37-node distribution system, and its effectiveness is validated by simulation results.