Optimal Planning of Integrated Energy Systems Based on Coupled CCHP

Abstract

With the widespread attention on clean energy use and energy efficiency, the integrated energy system (IES) has received considerable research and development. This paper proposed an electricity-gas IES optimization planning model based on a coupled combined cooling heating and power system (CCHP). The planning and operation of power lines and gas pipelines are considered. Regarding CCHP as the coupled hub of an electricity-gas system, the proposed model minimizes total cost in IES, with multistage planning and multi-scene analyzing. Renewable energy generation is also considered, including wind power generation and photovoltaic power generation. The numerical results reveal the replacing and adding schemes of power lines and gas pipelines, the optimal location and capacity of CCHP. In comparison with conventional separation production (SP), the optimization model which regards CCHP as the coupled hub attains better economy. At the same time, the influence of electricity price and natural gas price on the quantities of purchasing electricity and purchasing gas in the CCHP system is analyzed. According to the simulation result, a benchmark gas price is proposed, which shows whether the CCHP system chooses power generation. The model results and discussion demonstrate the validity of the model.Energies 2018, 11, 2621 2 of 27 developed a linear energy hub model based on variables to prevent the introduction of dispatch factor variables. Reference [8] proposed a novel decentralized multi-carrier OPF of large-scale IES in a carbon-trading market to give full play to environmental and economic advantages of the system. Reference [9] concentrated on an integrated formulation for the steady-state analysis of electricity-gas coupled systems and proposed a general method to execute a single power and a single gas flow analysis in a uniform framework based on the Newton-Raphson formulation. Reference [10] presented a method for integrated optimization of coupled power flows of various energy infrastructures such as gas, electricity, and district heating systems. Reference [11] proposed a multi-agent genetic algorithm to decompose the multi-energy OPF problem into the separate traditional OPF problem in such a way that most advantages of integrated analysis of IES would be reserved. Reference [12][13][14][15][16][17][18][19] studied the interdependency of IES for system reliability evaluation and flexibility assessment. Reference [12] introduced a new reliability assessment approach to IES, which proposes a hierarchical decoupling optimization framework for both the OPF problems and the energy hub optimal dispatch and accommodates an impact-increment-based state enumeration method to accelerate the reliability assessment process. Reference [13] presented an original methodology to assess the flexibility that the gas system can provide to the power system and introduced a novel metric to evaluate the integrated electrical and gas flexibility, which is used to impose gas-related inter-temporal inter-network constraints on the ...

Multi-Objective Optimal Configuration of the CCHP System

“…In this paper, it should be noticed that the investment of system represents the cost of the system construction. The proposed objective construction cost function includes the cost of system equipment, the fuel cost, equipment maintenance cost of the system, the equipment installation cost, the environment cost and the system's revenue [21]. The detailed composition of the objective function in describe in Appendix B.…”

Coordinated Dispatch of Integrated Energy Systems Considering the Differences of Multiple Functional Areas

“…The limited capacity of WT and PV has reached 97 MW, and the limited proportion has reached 42.17%. The integrated energy system (IES) coordinates the various forms of energy systems such as the distribution systems, the renewable energy systems, and the traffic systems considering electric vehicles (EVs) and the combined cooling, heating, and power (CCHP) systems, which could realize the optimal utilization of various types of energy and effectively solve the consumption problem of renewable energy [5]. In [6], the optimization of the IES including district heating, cooling, and various forms of energy storage in Singapore was performed, and the results show that the cost of energy through methane storage or heat storage is much less than that of using electricity storage or hydrogen storage when the space constraints of photovoltaic installations are taken into consideration.…”

Expansion Planning Method of the Industrial Park Integrated Energy System Considering Regret Aversion

“…Based on EH, Zhou et al [12] proposed a collaborative expansion optimization configuration method for a renewable power system and a natural gas system. Considering the topological constraints of grid and gas networks, a regional integrated energy system expansion planning model based on CCHP was proposed in [13], and the economic scheduling strategy of the system was analyzed by the scenario method. Considering the value chain of natural gas, the long-term, multi-regional, and multi-stage expansion planning of a gas-electric coupling system was studied in reference [14].…”