计及插电式混合动力汽车规模化接入的多目标发电优化调度

Multi-Objective Optimal Generation Dispatching With Large-Scale Plug-in Hybrid Electric Vehicles Penetration

插电式混合动力汽车(PHEVs)规模化应用后将给电力系统的安全和经济运行带来新的挑战。建立了计及PHEVs接入的多目标动态经济调度模型,将各时段的PHEVs充电功率和燃煤机组出力作为决策变量,以同时降低燃料成本和改善负荷特性为优化目标,并构造了考虑PHEVs行驶特性的约束条件。采用自适应多目标差分进化算法求解模型。以10机系统为算例来验证模型的合理性,结果表明,所提优化调度方法能有效规避PHEVs大规模充电对电网运行造成的不利影响。最后探讨了PHEVs接入后的电力系统减排措施。

The widespread adoption of plug-in hybrid electric vehicles （PHEVs） will bring new challenges to the secure and economic operation of power systems. A multi-objective dynamic economic dispatch model with large-scale PHEVs penetration is formulated to minimize the fuel cost and to improve the load characteristic. In this model, the PHEVs charging loads and the generator outputs of each time period are selected as decision variables, and the driving behavior of PHEVs is taken into account. The self-adaptive multi-objective differential evolution algorithm is implemented to obtain the Pareto front. The developed model is tested on the ten-unit system, the results obtained demonstrate the effectiveness of the proposed dispatching approach. At last, the emission-reduction strategies of PHEVs-oenetrated nower sv^tern~ ~r~ cli^c-,,~o,t