Day-ahead Optimal Dispatch Of Regional Integrated Energy Considering Demand Side Resources

With the growing prominence of energy and environmental issues,integrated energy systems have received widespread attention for their outstanding advantages in optimizing energy structure and reducing environmental pollution.At the same time,the development of home energy management system promotes the user-side demand response behavior as a controllable resource,and how to reasonably utilize this resource and scientifically guide users to orderly use energy also becomes a question worthy of consideration.Most of the existing studies tend to focus on a single aspect mentioned above,while the few studies that combine the two still have some shortcomings.Therefore,this paper proposes a "source-load" collaborative dispatch method to realize two-way matching of supply and consumption,considering the multienergy complementary characteristics of the integrated energy system on the supply side and the demand response behavior on the user side.The work done is summarized as follows:An optimization model of the combined cooling,heating and power(CCHP)system on the energy supply side is proposed.Taking wind,solar,grid power,and natural gas as major sources,the energy supply framework of the CCHP system is established.The collocation and energy flow of each equipment in the systems studied.The cascade utilization of energy is realized through the waste heat recovery system and energy conversion device,and the mathematical model of each equipment is formulated.Aiming at the low local consumption of wind and photovoltaic power in the system,a control strategy is proposed to increase the local consumption of renewable energy by regulating the charge-discharge status and power level of the battery.The comparison schemes are set to verify that the proposed strategy can effectively increase the local consumption of wind and photovoltaic power.A user load optimization model is constructed,considering the user-side resource utilization.The user loads are finely classified,and the operating characteristics of different kinds of loads are analyzed.The load optimization model is formulated for minimizing the energy consumption cost and the flatness cost of electric loads,fully considering the operating time range of electric loads,temperature regulation of heating and cooling loads,frequent on/off status of interruptible loads,correlation of different equipment,charge-discharge functions of household energy storages and electric vehicles,and travel arrangement of electric vehicles.Case studies verify that the proposed load frequent switching behavior restriction and correlation analysis can further restrict the running time of loads,and the optimized results are more suitable for the actual needs of users.The supply and user sides are incorporated into a unified dispatch framework.The unit price of energy supply is introduced as an intermediate variable,and the bilateral coordinated dispatch method and the detailed process are proposed.Considering the uncertainty of wind and photovoltaic power output,a probability model is established.Then,the scenario analysis method is adopted to deal with the aforementioned model through Latin hypercube sampling and simultaneous backward reduction.By comparing whether the CCHP system is adopted or not and whether the user-side load is optimized,it is verified that the proposed collaborative dispatch model can effectively reduce the bilateral cost,the peak-valley difference of power load,and the environmental pollution.