| The microgrid has received extensive attention worldwide for its effect on utilizing renewable energy sources(RES)and upgrading the energy consumption patterns that are not conducive to sustainable development nowadays.Moreover,with the development of combined cooling,heating and power(CCHP)technology and the rapid growth of the energy storage technology,multi-energy microgrids have also attracted lots of attention due to its value in improving the comprehensive utilization of energy.The energy management system(EMS)is responsible for collecting information from each components and sending instructions,which plays a crucial character to make the microgrid having reliable and efficient performance.In view of the uncertainties during the microgrid operation,eg,the intermittent of RES output power and the implied volatility of consumption requirement,as well as the development tendency for multienergy complementarity,synergy and source-load interaction,this paper has carried out the following work,Firstly,the robust optimization(RO)is a common method to deal with the power scheduling problem of the microgrid with uncertainty.In order to analyze the robustness and economy of the optimization model more effectively,and provide a reasonable guidance for the selection of the model parameters,a simple and applicable statistical method is proposed to achieve this target.Furtherly,a modified grey wolf optimization(MGWO)algorithm is presented with respect to the inherent nonlinear mapping,simplicity,and powerful search capabilities of the heuristic algorithm,while the mathematical algorithm is complex in modeling sometimes.The predominance of the proposed MGWO in solving the power scheduling optimization problem of the microgrid is revealed in the simulation part.And the validity of the statistical index is also verified.Secondly,we take the unique properties of each kind of energies during the process of generation-transmission-usage into consideration when formulating a comprehensive demand response(DR)model of the multi-energy microgrid.The sensitivity of the electricity load to the change of electrical transaction price is mainly considered while the terminal response lag caused by the transmission process and the ambiguity of residents to the temperature fluctuation within a certain range are considered for the heat load,which is distinctly different from the current research regarding it as a commodity.A typical combined heat and power microgrid is taken as an example.This paper formulates a novel comprehensive electricity-heating load DR model.A typical multi-energy microgrid optimal operation problem is resolved to prove that the proposed comprehensive DR model can build up the economic level and enhance the of the microgrid stability obviously.And the influence of the related parameters about the DR model on the operation of the microgrid is furtherly analyzed.Finally,an optimization model to settle the uncertain problems based on the concept of regret has been built to overcome the excessively conservatism and the complex parameter selection problems of the original robust EMS model.Moreover,the proposed electrical-heating comprehensive DR model is incorporated into the EMS to give full play to the source-load interaction and the multi-energy coordination.The effectiveness of the presented modeling method is verified by solving a typical microgrid EMS problem through various means of handling uncertainty models.The simulation results also state the operation cost of the microgrid has been decreased clearly because of the presented DR model.And the stability is improved when the proposed comprehensive DR is considered. |
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