Research On Coordinated Control Method Of Distributed Power And Energy Storage In Distribution Network

With the rapid economic development,the energy crisis is getting worse.How to make better use of clean energy to alleviate the energy crisis has become an issue that people are paying more and more attention to.While the large-scale application of distributed generation(DG)effectively alleviates energy and environmental crises,it also brings greater challenges to the coordinated control of the distribution network.The coordinated control of the distribution network through the combination of distributed power and energy storage can fully explore the dispatching potential of the distribution network and reduce the risk of distributed power grid connection,so it has gradually become a research hotspot.With the promotion of smart grid two-way interactive technology and the improvement of metering and communication facilities,the load optimization brought about by user-side participation in demand response has enabled the distribution network to operate more stably and safely.In recent years,research efforts in this area have also been gradually Increase.This article describes the distributed generation and energy storage technology in the distribution network,and proposes corresponding solutions to the adverse effects of the uncertainty of distributed generation output on the distribution network.The distribution network with distributed generation sources is selected as the optimization object of the research,and the uncertainty of distributed generation output is measured by fuzzy chance constraints based on credibility theory,combined with the established energy storage charging and discharging model and corresponding energy storage control strategies Propose a multi-objective coordinated control method.The formulated multi-objective coordinated control strategy is solved by the decomposition-based multi-objective evolutionary algorithm(MOEA/D)and verified by MATLAB simulation.The results show that the grid-connected energy storage can shift peaks,cut peaks and fill valleys,smooth the load curve,and improve economic benefits.Taking into account the ambiguity of load transfer in each period under demand response,the fuzzy function is used to express the load transfer in the response period,and a coordinated control strategy for the distribution network considering the time-of-use electricity price is proposed.First,change the fuzzy chance constraints into clear equivalence constraints,then use the MOEA/D algorithm to obtain a set of Pareto optimal solutions,use the evidence-based reasoning(ER)multi-objective decision-making method,comprehensively evaluate the candidate solutions and determine the final Scheduling solution,to guide the decision-making of operators.Finally,the IEEE33-node distribution network system is selected as the test system to analyze the calculation examples.The results show that: First,the introduction of demand response improves the safety and reliability of the distribution network,and also improves the economy;second,pass The comparison between the fuzzy chance constraint and the random chance constraint and the comparison of the multi-objective coordinated control strategy in the four situations shows that the proposed multi-objective coordinated control method is accurate and effective,and can ensure a higher penetration level of distributed power;third,The performance of the adopted MOEA/D algorithm is better than the two optimization algorithms of MOGLS and NSGA-Ⅱ.The Pareto solution set obtained by the solution can be intuitively selected by the optimal scheduling scheme after using the proposed multi-objective decision-making method.