Hybrid Energy Storage Configuration Optimization in Distribution Network with High-proportion PV Considering Demand Response
Vigorously developing renewable energy such as photovoltaic is an important route to achieve carbon peaking and carbon neutrality goals; however, the high proportion of photovoltaic in the distribution network may bring about a series of problems. Therefore, the distribution network with a high proportion of PV is taken as the research object, and the optimal configuration of hybrid energy storage is proposed considering the demand side response. Based on the un-certainty of load demand and photovoltaic output, a determination method for uncertain scenarios relying on error probability distribution is proposed. Based on uncertain scenarios, a three-layer optimization model for energy storage configuration was proposed considering the regulation measures of demand side response and power flow constraints in the operation stage. The decomposition method for the proposed three-layer optimization model and the solution imple-mentation process based on column and constraint generation algorithm are proposed. The proposed model is verified in IEEE-33 bus test system. The results show that the shiftable load peak can be reduced by 10％, the nodal voltage is kept within a reasonable range, and the application effect is significant in guiding energy storage configuration. Through ana-lyzing the sensitivity of photovoltaic proportion, the total energy storage capacity with 100％ photovoltaic proportion increases by 90％ compared with the scenario without photovoltaic.
energy storage configuration optimizationphotovoltaicdistribution networkdemand side responsesystem uncertainty
万方数据
维普
