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随着售电侧市场改革的不断深入,研究多个微电网运营商参与下的配电侧市场交易和竞价机制具有重要意义。针对该问题,提出了一种双层优化方法:底层优化以配电市场运营商购电成本最小为目标,考虑系统的节点电压约束和支路潮流约束等,采用跟踪中心轨迹内点法求解系统的经济调度模型,实现市场的出清;上层优化以最大化微电网运营商收益为目标,采用遗传算法确定微电网运营商在联盟和不联盟两种环境下的最优竞价策略。在双层优化方法的基础上,基于完全信息下的动态博弈方法,确定市场的纳什均衡点。最终在IEEE 33节点配电系统算例中对所提出的方法进行了仿真验证,并进一步分析了微电网运营商提供无功辅助服务下各市场主体的利益分配问题。
With the continuous deepening of market reforms in the power sales side, it is of great significance to study the market-side trading and bidding mechanism of multiple power grid operators. Aiming at this problem, a two-layer optimization method is proposed: the bottom optimization is aimed at minimizing the cost of power purchase by the distribution market operators. Considering the node voltage constraints of the system and the branch flow constraints, the tracking center trajectory interior point method is used to solve the system. The economic dispatching model realizes market clearing; the upper-level optimization aims at maximizing the profit of micro-grid operators, and adopts a genetic algorithm to determine the optimal bidding strategy of micro-grid operators under both coalition and non-union conditions. On the basis of the double-level optimization method, based on the dynamic game method under complete information, the Nash equilibrium point of the market is determined. Finally, the proposed method was simulated and verified in the IEEE 33-node power distribution system, and the profit distribution of the market players under the reactive power supplementary service provided by the microgrid operators was further analyzed.