Abstract
Distributed multi-energy systems (DMESs) are widely developed as an important carrier and means to promote the consumption of renewable energy. Mainstream DMESs, incorporating electric and heat loads, combined heat and power (CHP) units, can coordinate the operation of the power system and the thermal system. However, the thermoelectric coupling of CHP generators impedes the regulation capacity of DMES, which is not conducive to renewable energy consumption. Both energy storage and demand response of loads, as a means of thermoelectric decoupling, can relieve the aforementioned regulation pressure of DMES. In this paper, the demand response models are firstly developed considering the cost of dispatching electric and heat loads, respectively. Secondly, the planning model considering the annual net revenue of DMES is proposed to optimize the capacity of electrical energy storage (EES) and heat energy storage (HES). The annual net revenue of DMES is composed of the annual operating revenue and the investment in energy storage devices. Then, particle swarm optimization (PSO) is adopted to solve the configuration model. Finally, the proposed methods are validated using an IEEE 30-node system.
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