区域微电网群两级能量调度策略优化研究

针对现阶段微电网能量管理技术发展趋势,在满足其内部经济调度的基础上,还需要关注微电网间的能量互补机制。对并网型区域微电网群提出了一种两级能量优化调度模型。引入条件风险指标(CVaR)衡量可再生能源与负荷预测误差对调度方案造成的影响,结合微电网运行收益,作为微电网内部能量调度的优化目标;采用多目标粒子群优化算法(MOPSO)进行求解,研究收益风险比作为优化调度策略的筛选指标,提出微电网内部能量优化调度策略;以区域微电网群公共并网点有功功率梯度变化最小化为前提,获得最佳微电网净功率组合方案,由此平抑微电网群对配电网造成的功率波动;考虑电力传输距离制定了微电网间净功率互补机制,提高功率传输效率。算例仿真结果表明,该模型能够合理实现微电网内与微电网间经济运行与功率平衡,为微电网群日前调度计划提供了有效设计流程。

Research on bi level energy dispatching strategy optimization for regional microgrid cluster

Aiming at the development trend of microgrid energy management technology at the present stage, on the basis of satisfying its internal economic dispatching, attention should also be paid to the energy complementation mechanism among microgrids. In this paper, a bi level energy optimal dispatching model for grid connected regional microgrid cluster is proposed. Conditional value at risk (CVaR) is introduced to measure the impact of renewable energy sources and load forecasting errors on dispatching scheme, which is taken as the optimization objective of internal energy dispatching in the microgrid combining with the microgird operation income.The multi objective particle swarm optimization (MOPSO) algorithm is adopted to obtain the solution. The income risk ratio is formulated as the screening index of optimal dispatching strategy, and the internal energy optimal dispatching strategyin the microgridis proposed. On the premise of minimizing the active power gradient variation at the common coupling point of the regional networked microgrid cluster, the optimal combination scheme of thenet power of the microgrids is obtained, which can suppress the power fluctuation caused by the microgrid cluster to distribution network. Then, considering the power transmission distance, the net power complementation mechanism among the microgrids is formulated to improve power transmission efficiency. The simulation results of examples show that the model can reasonably realize the economic operation and power balance within the microgrids and amongthe microgrids, and provide effective design process for the day ahead dispatching plan of the microgrid cluster.