Collaborative Planning Of The Integrated Electricity-Gas Energy Eystem With Integrated Demand Response

With the increasing coupling between various types of energy sources,such as the power system,natural gas system and thermal system,the traditional independent planning paradigm can no longer meet the needs of multi-energy systems.Multi-energy systems are closely coupled through energy hubs(EH),which not only facilitate optimization at the level of collaborative planning and operation,but also contribute to the improvement of the overall utilization of facilities.In multi-energy systems,integrated demand response plays an increasingly important role in collaborative planning and coordinated operations.On the one hand,the load profile can be the optimized and the capacity demand during the peak period reduced wirh integrated demand response(IDR),by guiding the users' behavior of energy usage,and thus the construction of devices can be delayed or even cancelled.On the other hand,the integrated demand response contributes to load shifting and enhance the capability of accommodating intermittent renewable energy generation,and hence promote the secure and economic operation of the whole integrated gas-electricity energy system.Given this background,some preliminary researches are conducted on related topics in the following aspects.1)An energy hub planning model considering characteristics of user's integrated demand response is proposed.First,the closed-loop operation between the power system and the natural gas system is realized through the modeling of the energy hub,especially the power to gas(P2G)equipments,composing the integrated electricity-gas energy system(IEGES).Then,the integrated demand response model of industrial users,residential users and commercial users is established.In this model,the integrated demand response of industrial users is mainly based on the transferrance of industrial production tasks,the elastic load corresponding to common household appliances is mainly considered in the integrated demand response of residential users,and the orderly charging of electric vehicles(EVs)is the main way of integrated demand response in commercial users.Finally,the energy hub planning model with integrated demand response of all types of users is simulated in the integrated gas-electricity energy system,and the integrated demand response on the user side and the impact on planning of energy hubs are analyzed inthe example.2)A collaborative planning of the integrated gas-electricity energy system with demand side management(DSM)is established.First,a demand side management model is established in the gas-electricity energy system,with three types of demand side management of reduced load,transferred load and substituted load,considering t user's satisfaction constraints of saturation,difference and comfort.Then,a collaborative planning model of the integrated gas-electricity energy system is proposed,which is a mixed integer nonlinear programming(MINLP)model with the time and space optimization of power to gas equipment,natural gas fired plants(NGFP),transmission lines and natural gas pipelines.And this model is then formed into a mixed integer linear programming(MILP)problem through linearization.The results of the example show that the collaborative planning in multi-energy system with the demand side management not only optimized the load curve and reduce the construction costs,but also promote the consumption of renewable energy like wind power and thus reduced the operation costs.3)A collaborative planning model of the integrated gas-electricity energy systems considering the dual uncertainty of source and load is developed.On the power supply side,the segmented probability distribution function of wind power prediction error is obtained from the historical data.Then,the wind power output fuzzy opportunity constraint is established based on the theory of stochastic opportunity constrained programming,and it is transformed to a clear equivalence to solve.On the load side,the probability series of three types of integrated demand response are obtained from the historical load data,and then the probability sequence which represents the uncertainty of multi-user demand response is obtained according to the extended sequence method.And the feasibility and effectiveness of the multi-energy system planning algorithm considering the dual uncertainty of source and load are verified through the analysis of the 138-node power system and the 119-node natural gas system in Guangzhou.Finally,the research done in this thesis is summarized,and the future research topics in this field pointed out,which are expected to be investigated or further studied.