Research On Optimal Scheduling Method Considering Demand Side Management For Multi-Energy Microgrid

The key to solve the contradiction between the rapid growth of energy demand and the limited energy resources is to strengthen the comprehensive utilization of various energy and the effective management of demand side.As a small integrated energy system,multi-energy microgrid(MEMG)includes a variety of energy generation equipment,as well as controllable loads of diverse energy forms.All kinds of energy generation equipment present strong coupling characteristics and complementary characteristics.Meanwhile,energy resources of demand side are flexible,hence it can friendly interact with energy generation equipment.Therefore,this paper focuses on the optimization scheduling for MEMG considering the demand-side management(DSM)method.Main work of the paper are as follows:(1)The typical architecture and mathematical model of MEMG is proposed to provide support for the subsequent research on optimal scheduling.The composition and characteristics of each equipment on the energy supply side such as combined cooling,heating and power(CCHP),gas heat pump,gas boiler and centrifuge are briefly analyzed,and their models are proposed.The characteristics of flexible loads are analyzed in detail,and the general mathematical models of transferable load,reducible load,flexible heating load and flexible cooling load are presented.(2)A low-carbon economic scheduling method considering DSM and multistep carbon trading for MEMG is proposed.The DSM is carried out by fixed price compensation to reduce the operating cost of MEMG,and the multistep carbon trading mechanism is constructed to reduce the carbon emissions of it.Considering the constraints of power balance,equipment operation and flexible load energy consumption on the demand side,the lowcarbon economic scheduling model for MEMG that minimize the daily net operating income of operator is proposed.The Monte Carlo simulation method and k-means clustering method are adopted to consider the load uncertainty.Case study verifies the effectiveness of the low-carbon economic scheduling method,which can effectively improve the daily operating net income of operator and reduce carbon emissions.The effects of DSM,multistep carbon trading model and internal combustion generator on the operation are discussed.(3)A multi-entity interactive optimal scheduling method considering DSM and peak clipping auxiliary service for MEMG is proposed.Based on the operation requirements of a practical integrated energy demonstration project,an optimal scheduling model of operator and multiple users is established.In the process of multi-entity interactive optimization,the operator adopts dynamic price compensation to manage the demand side to respond to the peak cutting signal sent by the power grid.The power grid sends price signals to users,then users feedback their power changes according to the price.Each entity takes its own interests as the optimization target until the optimization equilibrium point is reached.The two-layer interactive optimization model is transformed into a single-layer optimization model by Karush-Kuhn-Tucker(KKT)condition.Case study verifies the effectiveness of the multi-entity interactive optimal scheduling method,which can decide reasonable peak clipping compensation price for operator,reduce daily energy cost of users,increase daily revenue of operator,and improve users’ energy comfort.