发展微电网是合理利用可再生能源的重要途径,储能系统在协调微电网中多类型能源并实现高效的协同优化过程中发挥了重要的作用。本文构建了同时考虑分布式储能系统(distributed energy storage systems,DESSs)和集中式储能系统(centraliz...发展微电网是合理利用可再生能源的重要途径,储能系统在协调微电网中多类型能源并实现高效的协同优化过程中发挥了重要的作用。本文构建了同时考虑分布式储能系统(distributed energy storage systems,DESSs)和集中式储能系统(centralized energy storage system,CESS)的微电网负荷优化调度模型,该模型同时考虑了微电网的经济成本和稳定性,旨在降低微电网经济成本的同时增加微电网的稳定性。同时,提出的调度模型考虑了需求响应的影响。实验表明,与只有单一DESSs的微电网相比,同时含有DESSs和CESS的微电网可以进一步地降低微电网的经济成本,并提高微电网的稳定性。而微电网通过参与需求响应能够实现更低的经济成本和更高的稳定性。此外,研究发现经济成本和稳定性权重因子对微电网调度的影响,权重因子的选取是微电网经济性和稳定性之间的权衡,提出了兼顾微电网经济性与稳定性的最优解的求解方法。本文的研究对于具有DESSs和CESS的微电网的经济稳定运行具有重要的现实意义。展开更多
A new versatile optimization, the particle swarm optimization based on multi-agent system (MAPSO) is presented. The economic load dispatch (ELD) problem of power system can be solved by the algorithm. By competing and...A new versatile optimization, the particle swarm optimization based on multi-agent system (MAPSO) is presented. The economic load dispatch (ELD) problem of power system can be solved by the algorithm. By competing and cooperating with the randomly selected neighbors, and adjusting its global searching ability and local exploring ability, this algorithm achieves the goal of high convergence precision and speed. To verify the effectiveness of the proposed algorithm, this algorithm is tested by three different ELD cases, including 3, 13 and 40 units IEEE cases, and the experiment results are compared with those tested by other intelligent algorithms in the same cases. The compared results show that feasible solutions can be reached effectively, local optima can be avoided and faster solution can be applied with the proposed algorithm, the algorithm for ELD problem is versatile and efficient.展开更多
文摘发展微电网是合理利用可再生能源的重要途径,储能系统在协调微电网中多类型能源并实现高效的协同优化过程中发挥了重要的作用。本文构建了同时考虑分布式储能系统(distributed energy storage systems,DESSs)和集中式储能系统(centralized energy storage system,CESS)的微电网负荷优化调度模型,该模型同时考虑了微电网的经济成本和稳定性,旨在降低微电网经济成本的同时增加微电网的稳定性。同时,提出的调度模型考虑了需求响应的影响。实验表明,与只有单一DESSs的微电网相比,同时含有DESSs和CESS的微电网可以进一步地降低微电网的经济成本,并提高微电网的稳定性。而微电网通过参与需求响应能够实现更低的经济成本和更高的稳定性。此外,研究发现经济成本和稳定性权重因子对微电网调度的影响,权重因子的选取是微电网经济性和稳定性之间的权衡,提出了兼顾微电网经济性与稳定性的最优解的求解方法。本文的研究对于具有DESSs和CESS的微电网的经济稳定运行具有重要的现实意义。
文摘A new versatile optimization, the particle swarm optimization based on multi-agent system (MAPSO) is presented. The economic load dispatch (ELD) problem of power system can be solved by the algorithm. By competing and cooperating with the randomly selected neighbors, and adjusting its global searching ability and local exploring ability, this algorithm achieves the goal of high convergence precision and speed. To verify the effectiveness of the proposed algorithm, this algorithm is tested by three different ELD cases, including 3, 13 and 40 units IEEE cases, and the experiment results are compared with those tested by other intelligent algorithms in the same cases. The compared results show that feasible solutions can be reached effectively, local optima can be avoided and faster solution can be applied with the proposed algorithm, the algorithm for ELD problem is versatile and efficient.
