独立微网电能市场区间报价报量交互式交易优化

针对大规模分布式参与者如何在有限交易水平下，自由灵活参与微网电能市场交易的问题，提出建立上、下层分布式交易的微网市场优化模型.其中，上层为参与者效能最大化，下层为微网社会经济效益最大化，并采用交替方向乘子法分层交互迭代求解.实例分析结果表明，所提出的模型可充分协调优化参与者效能和市场社会经济效益，提高微网可再生能源消纳、参与者效能和社会福利.

Optimization of interactive trading of interval quotation and volume in independent micro-grid electricity market

Flexible subjects such as large-scale distributed power generations and energy storages will flood into the market in the future. It is necessary to consider the transaction efficiency of participants and the social and economic benefits of the market comprehensively, and study the optimization method of large-scale distributed participants as independent individuals pursuing interests, to freely and flexibly participate in the micro-grid electric energy market transaction under the limited transaction level. Firstly, a fully competitive micro-grid electricity market trading framework is established, which includes distributed renewable energy generators, load aggregators and aggregators of vehicle to grid. Secondly, based on the interval quotation, a micro-grid market optimization model of upper and lower interactive transactions is established, in which the upper level is to maximize the efficiency of the participants, and the lower level is to maximize the social and economic benefits of the micro-grid. The alternating direction multiplier method is used for hierarchical interactive iterative solution. Finally, the effectiveness of the hierarchical interactive micro-grid electricity market transaction optimization method based on interval quotation volume is verified by numerical simulation, and the impact of the number of micro-grid electric vehicles on market social welfare, participant efficiency and renewable energy consumption are comparatively studied.