考虑不确定性和需求响应的配电网储能优化配置

Optimized Configuration of Energy Storage in Distribution Network Considering Uncertainty and Demand Response

分布式电源的间歇性和不确定性等特点使其大规模接入电网对配电网的安全稳定运行带来一定挑战,而在配电网中合理配置储能系统可以有效应对此问题。为减少风光并网产生的不利影响,提高配电网电能质量,首先构建由分布式电源和储能系统共同接入的配电网模型;其次对可再生能源出力不确定性进行处理,并构建需求响应模型平滑负荷曲线;然后以年综合成本最低和电压偏差最小为优化目标,构建配电网储能多目标优化配置模型;最后以IEEE 33节点配电网络为算例,根据分布式电源接入后引起的节点电压偏移确定储能接入位置,并通过改进粒子群算法确定储能优化配置方案。仿真结果表明,该模型可以提高系统经济性和稳定性,同时改进后的粒子群算法在求解效果上更优。

The intermittency and uncertainty of distributed power sources make the large-scale access a challenge to the safe and stable operation of the distribution network,and the reasonable configuration of energy storage systems in the distribution network can effectively deal with this problem.Therefore,in order to reduce the adverse effects of wind and solar integration and improve the power quality of the distribution network,firstly,it constructs a distribution network model which is jointly accessed by distributed power sources and energy storage systems.Secondly,the output uncertainty of renewable energy is processed and the demand response model is constructed to smooth the load curve.Then it constructs a multi-objective optimization model of energy storage in the distribution network with the lowest annual comprehensive cost and the smallest voltage deviation as the optimization objectives.Finally,taking the IEEE 33-node distribution network as an example,the energy storage access location is determined according to the node voltage deviation caused by distributed power access,and the optimized configuration scheme of energy storage is determined by improved particle swarm algorithm.Simulation results show that the proposed model can improve the system economy and stability,while the improved particle swarm algorithm is better in solving effect.