Optimized Operation of Regional Integrated Energy System Considering Power-to-Gas and Shiftable Load

doi:10.12204/j.issn.1000-7229.2020.12.010

Abstract

Abstract:

Aimed at the problem of the accommodation of renewable energy power and the mismatch of cooling, heat and electric load demand, this paper introduces power to gas (P2G) technology into the original regional integrated energy system (IES), and combines the electric characteristics of various types of shiftable loads in the IES, a model of shiftable load is established, and the translation of cooling, heating, and electric loads is performed using the interior point to solve the model of shiftable load. A multi-objective system optimization operation model covering economics, energy and environment is established. The particle swarm optimization algorithm is used to obtain Pareto non-inferior solution sets, and a fuzzy theory is used to obtain a compromise solution. A variety of scenarios are set up in the calculation example, and the simulation analysis considers the advantages of the regional IES in terms of load shifting and power-to-gas technology in peak regulation, reducing operating costs, etc., thereby the effectiveness of the proposed model and optimization results is verified.

Key words: regional integrated energy system(RIES), power to gas(P2G), shiftable load, operation optimization

CLC Number:

TM73

ZHANG Yadi, SUN Xin, XIE Jingdong, SUN Bo, HE Zhitao. Optimized Operation of Regional Integrated Energy System Considering Power-to-Gas and Shiftable Load[J]. ELECTRIC POWER CONSTRUCTION, 2020, 41(12): 102-111.

Figures/Tables 16

Fig.1 Comparison of energy storage technologies

Fig.2 Schematic diagram of a RIES

Fig.3 Flow chart of the algorithm

Fig.4 Typical daily load for each season

Table 1 Time-of-use price元/(kW·h)

Table 2 Load consumption characteristic of shift loadskW

Fig.5 Load shifting result in summer

Fig.6 Load shifting result in winter

Fig.7 Summer electric power optimization results in various scenarios

Fig.8 Summer cooling power optimization results in various scenarios

Fig.9 Different scenes of pareto frontier in summer

Table 3 Eclectic solutions for different scenes in summer

Fig.10 Winter electric power optimization results in various scenarios

Fig.11 Winter thermal power optimization results in various scenarios

Fig.12 Different scenes of pareto frontier in winter

Table 4 Eclectic solutions for different scenes in winter

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