基于智能单粒子算法的微电网经济调度

为充分消纳可再生能源，以分时电价为杠杆，通过经济调度手段，对微电网内分布式发电资源进行优化配置。在综合考虑各类分布式电源发电成本和环境成本的基础上，计及热电联供收益、电能交易收益、电价补贴等多项运行收益，建立微电网多目标经济函数。考虑储能系统在不同时间断面上的耦合性问题以及时移特性，结合分时电价、净负荷曲线进行预调度。考虑微电网实时调度的快速性要求，运用智能单粒子算法搜索调度变量的最优解，并与常规粒子群算法进行对比。算例分析了基于冬季典型日数据的微电网调度方案和各项经济指标，结果表明微电网调度模型、调度策略和优化算法合理有效。

Economic dispatch of microgrid using intelligent single particle optimizer algorithm

For the purpose of absorbing the renewable energy sources adequately, the time-of-use electricity price is used as leverage and economic dispatching as a means to realize the optimal arrangement of distributed generation resources. On the basis of consideration for generation cost and environmental cost, economic incomes such as CHP income, energy trading income and renewable energy distributed generation subsidy are added to establish a multi-objective function. A pre-dispatching strategy which considers the coupling between different time intervals of storage system as well as time-of-use electricity price, net load curve is proposed. The intelligent single particle optimizer is applied to seek the best solution of dispatching variables compared to particle swarm optimization. The analysis of dispatching scheme and economic index based on typical winter data validate the effectiveness of dispatching model, dispatching strategy and optimal algorithm.