| The multi-energy system(MES)integrates various energy forms such as electricity,natural gas,cold,heat in the region,which has been the development trend of a new round of energy revolution.Considering the scene mode in different regions,and the complementary and coordinated optimization of multiple energy between operation and the emphasis of the comprehensive evaluation of energy efficiency.In different regional scenarios,this paper studies the environmental constraints of urban regional multi-energy system(U-RMES)integrated energy efficiency optimization scheduling,the equipment operation constraints of park regional multi-energy system(P-RMES)integrated energy efficiency optimization scheduling,the uncertainty IDR of residential regional multi-energy system(R-RMES)integrated energy efficiency optimization scheduling.The main contents of this paper are as follows:(1)This paper studies the network structure and energy consumption characteristic of multi-energy users(MEUs)of U-RMES,P-RMES and R-RMES based on the research objects of MES in different regions,respectively.And then,this paper constructs the bi-level decentralized coordinated optimal scheduling structure of U-RMES with P-RMESs,the bi-level optimal scheduling structure of P-RMES with MEUs,and the centralized optimal scheduling structure of R-RMES with integrated demand response(IDR).(2)In order to analysis the impact of environmental factors on U-RMES,this paper constructs a bi-level carbon emission constrainted optimal allocation model between U-RMES and P-RMESs.And then,this paper poposes an U-RMES bi-level decentralized coordination optimization scheduling strategy with consideration of carbon emission constraints,which can be used to study the network losses of urban regional distribution network,natural gas network,heat distribution network,and the operation costs of each MES in the park,and the overall urban carbon emissions.Furthermore,this paper establishes a bi-level decentralized and coordinated optimization framework of U-RMES with P-RMESs,and proposes an improved analytical target cascading(ATC)algorithm to achieve fast convergence.Then,according to URMES network loss,P-RMESs economic costs,urban area overall carbon emissions,and comprehensive energy conversion efficiency of these four types of indicators,this paper proposes a new U-RMES comprehensive theory of energy efficiency,and constructs a comprehensive energy conversion efficiency model for U-RMES.Therefore,a real-time comprehensive energy efficiency assessment method which can represent the weight of different indicators of U-RMES is proposed.Finally,the validity and correctness of the model and the algorithm are verified by a numerical example.(3)In order to analysis the energy conversion equipment and multi-energy prices incentive influence on R-RMES,this paper proposes an optimal economic scheduling strategy for P-RMES comprehensive energy efficiency with consideration of equipment operation constraints,and then studies the net income of integrated energy service agency(IESA)and the comprehensive energy cost of multi-energy users(MEUs).In addition,this paper studies the integration of and park’s power carbon intensity coefficient range and a carbon emissions quota index range,which can help the park develop a reasonable carbon reduction strategy.Further,this paper establishs a bi-level iterative optimization scheduling framework for an industrial park with MUEs and an IDR program includes electricity,natural gas load shifting,a flexible heating or cooling power supply,and a flexible indoor hot water supply.Furthermore,a kind of nonlinear prime-dual path following interior point method(PPFIPM)is proposed to solve the bi-level iterative problem.Then,according to IESA’s net income,MESs’ integrated energy costs,park area overall carbon emissions,and park’s comprehensive energy conversion efficiency of these four types of indicators,this paper proposes a new P-RMES comprehensive theory of energy efficiency,and constructs a comprehensive energy conversion efficiency model for the R-RMES.Therefore,a real-time comprehensive energy efficiency assessment method which can represent the weight of different indicators of a P-RMES is proposed.Finally,the validity and correctness of the model and the algorithm are verified by a numerical example.(4)In order to analysis the impact of the potential of MEUs participating in IDR on MES in residential communities,this paper proposes a comprehensive energy efficiency optimization scheduling strategy of R-RMES considering uncertain IDR,and the studies the net income of IESA and the contribution of MEUs participating in IDR potential in residential communities.Then,an elastic energy cloud model with electricity,heat,cold and gas MEUs is proposed to describe the randomness and fuzziness of elastic energy in the residential areas,and a new concept of an elastic electrical load cloud model based on interval contribution is also proposed to analysis the MEUs’ IDR potential.Further,based on the traditional Monte Carlo random sampling(MC-RS)method and the interval contribution of electric load cloud model,a new scene random sampling based on interval contribution(SRS-IC)method is proposed to solve the uncertain optimal scheduling problem.Then,according to IESA’s net income in residential area,MEUs participate in uncertain IDR potential,and residential’s comprehensive energy conversion efficiency of these three types of indicators,this paper proposes a new R-RMES comprehensive theory of energy efficiency,and constructs a comprehensive energy conversion efficiency model for the R-RMES.Therefore,a real-time comprehensive energy efficiency assessment method which can represent the weight of different indicators of a R-RMES is proposed.Finally,the validity and correctness of the model and the algorithm are verified by a numerical example. |
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